Five Intelligence trends for 2025

s we look ahead to 2025, our CEO Kristian Mørk Puggaard and CMO Michael Bugaj have identified five intelligence trends looking to transform how organisations approach data, analytics, AI, and strategic decision-making. From the increasing demand for tailored intelligence to the early days of AI “colleagues,” these predictions underscore the continuously growing importance of innovation in staying competitive.

Whether you’re seeking to use open data, explore agentic AI, or simply make the most of emerging cloud technologies, we hope these insights spark new ideas and guide your next steps. Dive into our Five Intelligence Predictions for 2025 to discover how you can proactively prepare for, and thrive in, the evolving landscape of intelligence.

Prediction 1

Skyrocketing demand for tailored intelligence

As off-the-shelf solutions lose their edge and general solutions built on scraping and simple analytics fail to provide sufficient depth, businesses will demand insights custom-fit to their use cases, ushering in a new era of specialised intelligence to stay ahead of the competition.

Many organisations are interested in understanding and tracking market trends to gain broader insights. However, as business leaders, we seek actionable intelligence within our own domains. As we realise what is possible, and as trust in AI-based solutions grows, the demand for use-case intelligence will surge exponentially.

We’re already seeing AI reshape workflows, but in 2025 it will become a core differentiator in business models—unlocking deeper insights, driving strategy, and delivering more profound value than ever before by empowering organisations to incorporate advanced intelligence across their operations.

Prediction 2

The power of Open Data ecosystems

AI requires data to be truly effective. Initiatives like the European Data Act and Overture Maps signify a shift towards freely available data, leading to new business opportunities and collaborative innovations across industries. With the EU Data Act expected to become applicable in 2025, more data will be made available for use by the broader economy and society, while ensuring companies and individuals who generate the data remain in control.

With an increase in both the quantity and quality of available data - at a lower cost - small and medium-sized enterprises (SMEs) will be better positioned to leverage that data in their decision-making processes.

Prediction 3

Agentic AI and our first AI colleagues

By 2025, we’ll see AI colleagues enter our work environment. AI assistants will progress beyond data crunching and GPT-driven solutions to orchestrating tasks and decisions - enabling professionals to tackle complex challenges with unprecedented precision and speed.

New roles will arise to oversee agentic systems and manage AI assistants. AI is already viewed as a commodity, and with the ability to build systems in which AI agents collaborate with one another, organisations will begin creating human processes around AI, including entire roles managed by AI.

Prediction 4

Growing Dependence on External Data

As data becomes the lifeblood of strategic decision-making, organisations will rely on ever broader and more diverse external datasets. The skill to source, curate, and interpret these data volumes will be a critical competitive advantage.

Real-time market monitoring will play an even greater role in decision-making. New vendors will emerge with highly specialised datasets will challenges traditional data to keep their datasets up to date, while predictive models will help fill the gaps - shifting us from yearly monitoring to more frequent and immediate updates.

Prediction 5

Cloud & AI for everyone

Thanks to ongoing technological advancements and cost efficiencies, cloud-based AI services will become more accessible—and more affordable—allowing organisations of every size to benefit from sophisticated intelligence solutions.

NVIDIA, for instance, with their project DIGITS, will offer a personal AI supercomputer that can pack 1,000 times the power of an average laptop, bringing high-performance AI computing to individual users. Small and medium-sized enterprises, just like international enterprises, can now train their private AI in secure environments - integrating both internal and external data. This will pave the way for digital twins of their markets and the ability to simulate different outcomes.

What's your take on the intelligence space for 2025?

Seed investment

embi has secured a €3 million investment from Seed Capital to grow our market intelligence platform and expand our market reach.

The post below is a translation of a news article posted by ITWatch the 5th of December 2024 by journalist Tobias Krog Vind.

Market Intelligence Platform Secures Seed Investment: "We Believe This Will Be the Way Companies Work in the Future"

Tembi has just received a capital injection of DKK 22 million from Seed Capital. This marks only the beginning for the company, which aims to set the agenda for the future of market analysis through AI.

In a rapidly changing market, keeping up with emerging trends can be challenging, especially in a landscape with thousands of businesses and even more products. Forecasting developments adds another layer of complexity.

The Danish market intelligence platform Tembi, however, claims it can provide AI-generated insights tailored to the realities of each individual company.

Using image recognition, language models, and machine learning, Tembi's AI aggregates data from various sources and presents it as market analyses in clear graphs and actionable insights. Customers can manipulate the data and graphs as needed, customising the platform to fit their requirements.

“We enable our customers to predict market movements, helping them stay ahead of their competitors. At the same time, our services also support them in actively leveraging these insights in their strategies and execution,” says Kristian Mørk Puggaard, CEO of Tembi.

For example, Tembi's solution provides insights into trade and logistics patterns within e-commerce and retail, including which webshops and product categories are growing in a given country and which companies are experiencing the most robust growth.

“It’s crucial for a company's success to know what’s happening among competitors and customers within their product group. Our tool makes it easier—and far less resource-intensive—to stay updated,” adds the Tembi CEO.

Seizing Opportunities Now

The two-year-old market intelligence platform, which currently serves 50 customers across 14 European countries, has raised DKK 22 million from Seed Capital in its latest funding round.

According to Kristian Mørk Puggaard, the timing of the investment aligns with Tembi's rapid growth and the opportunities available, but it also requires immediate action to capitalise on them.

“To be the first to dominate this market in Europe, we need to act now. In a few years, I believe everyone will demand a platform like ours. We believe this is the way companies will operate in the future. To ensure we’re the ones delivering it, we want to accelerate our growth now,” he explains.

Why Seed Capital?

“It was clear they understand what we are building and the future we’re targeting. It’s vital for us to have partners who ask the challenging questions that push us to rethink what we might otherwise take as established truths,” says Puggaard.

He also highlights Seed Capital's network and strong reputation as decisive factors, enabling Tembi to take its next steps.

Expanding Beyond Europe

The next step for Tembi is to grow its customer base beyond Europe’s borders, which the company plans to achieve within the next two years.

“We aim to be on the radar of all leading companies, not just in Europe but on other continents as well. While we haven’t finalised the exact location, North America seems like a strong candidate,” says Puggaard.

Additionally, Tembi plans to expand its client portfolio, which is currently concentrated in logistics, trade, and real estate.

Given this trajectory, Puggaard anticipates that the company will be ready for another funding round within one to two years.

The most popular commerce platforms across ten European markets

hen starting a webshop, you have two options: build a custom site from scratch or choose a ready-to-go commerce platform to manage inventory and sell products or services online. Given that webshops have existed since the early days of the internet, there are now numerous providers catering to both entrepreneurs and established businesses.

A variety of commerce platforms power European webshops, from large international providers like Shopify and WooCommerce to smaller local specialists such as Dandomain in Denmark and Voog in Estonia. Larger platforms often offer the benefits of scale, while local providers might offer specialized solutions and compliance with regional regulations that enhance scalability.

Choosing the right platform is not just important for those building webshops, but also for the ecosystem surrounding commerce platforms. Not all plug-ins and solutions are compatible with every framework, and understanding a platform’s market penetration can be a strong indicator of its success and investment in that region.

In this article, we take a deep dive into the most widely used commerce platforms across 10 European markets, examining which solutions are the most popular. It’s likely no surprise that Shopify and WordPress’s open-source WooCommerce plugin dominate, but who are the other key players?

Looking at Switzerland, The Netherlands, Slovakia, Denmark, Finland, Sweden, Norway, Lithuania, Latvia and Estonia we’ve identified a total of 242.061 active webshops. With over 100.479 webshops, or 32%, Shopify is trailing behind WooCommerce with 9%. Looking at these 10 markets, WooCommerce is today the preferred e-commerce platform with around 129.480 webshops.

The fact that we only identified 6.682  custom-built webshops (2,1% of the dataset), shows just how powerful commerce platforms are today, where both large and small webshops can benefit from the platform's investments in technology and solutions that make it easy, and possible, to operate and grow a business online.

Before diving into the specifics of each market’s platform penetration, let’s quickly explain how we gather and maintain the quality of this data.

Gathering quality webshop data

Monitoring hundreds of thousands of webshops on an ongoing basis demands a robust validation process to maintain high-quality data. At Tembi, we automatically filter out inactive webshops, businesses in bankruptcy, and webshops not registered as official companies, and we can only to this by actually visiting the webshops and analyze their operations continuously. We’re not B2B lead list generation company per se, but our data is used by many companies to improve sales and help identify business opportunities.

Once the validation process is complete, and we’ve analyized the webshops products, our system categorizes each webshop into a product category and enriches the data with for example website traffic data and company data.

If you're interested in learning more about how our technology works, be sure to check out our article: Insights from every Webshop on the Market

Deep dive into commerce platforms in European countries

Having looked how the distribution looks over 10 European countries, let’s examine which E-Commerce platforms are popular in each country and see what insights we can uncover into regional preferences and market trends.

E-commerce platforms in Denmark

In Denmark, we can find a total of 32.720 webshops. We have identified that 13.567 webshops are built using WooCommerce, and 11.703 are built with Shopify. Just as it also shows in the picture of the ten European markets, WooCommerce and Shopify power the majority of the webshops. The remaining 24% (7.450 webshops) utilize various other providers. With 2.164 webshops, Dandomain stands as the third most used platform in Denmark, likely due to its local roots and strong integration with popular hosting services in the country.

E-Commerce Platforms in Estonia

Estonia has a total of 8.568 webshops, with WooCommerce as the clear market leader. WooCommerce is used by 5.846 webshops, representing 68% of all Estonian market. In second place, like in most markets, Shopify follows, but with only 9% of the market, totaling 739 webshops.  WooCommerce’s strong presence in Estonia gives it the highest market share in the group of the analysed countries. In third place we find the local e-commerce platform, Estonian Voog, powering 570 webshops. Voog offers native language support and is perfect for small to medium-sized companies, which could also explain why WooCommerce owns such a big portion of the market.

The remaining 23% of E-Commerces, without the ones using WooCommerce and Shopify, are built using various other providers (1.983 webshops).

E-Commerce Platforms in Finland

Finland has a total of 15.092 webshops, with WooCommerce and Shopify being the market leaders. 6.953 webshops in Finland use WooCommerce (45% of the Finnish market), while Shopify is used by 4.014 webshops, accounting for a 26% market share.

The remaining 28% (4,125 webshops) utilize various other providers. Notably, 644 webshops (5% of the market) are custom-built, highlighting a segment of businesses opting for fully tailored E-Commerce solution. With a strong tech and design culture, Finnish businesses likely leverage local expertise to create bespoke solutions cater directly to their target market. MyCashFlow, a Finnish E-Commerce Platform, is the third most used one in the country, accounting with 1.327 webshops, a 9% of the total.  

E-Commerce Platforms in Latvia

There are 4.903 webshops in Latvia. Of this number, 1.841 webshops are built with WooCommerce (37% of Latvian webshops) and 1.201 webshops are built with Shopify (24%). The other 1.861 webshops (38%) use different providers.

E-Commerce Platforms in Lithuania

Lithuania has a total of 12.077 webshops, with WooCommerce as the most popular platform, powering 6.568 stores, or 55% of the market. Shopify is the second most used (2.198 webshops) making up 18% of Lithuanian online stores. The remaining 26% (3.311 webshops) use various other providers, with PrestaShop ranking third, supporting 1.506 webshops and capturing 12% of the market. As we can see, PrestaShop ranks very closely to Shopify. We see how two Lithuanian E-Commerce platforms, such as Shopiteka and Verskis, are too the most used ones.  

E-Commerce Platforms in The Netherlands

The Netherlands have a highly developed E-Commerce market with 81.224 webshops. WooCommerce has by far most clients, powering 38,316 stores, or 46% of all online shops. Shopify follows with 21,534 webshops, accounting for 26% of the market. The remaining 27%, or 21.374 stores, are distributed across various other providers.

E-Commerce Platforms in Norway

Norway has an E-Commerce market with 13.469 webshops. WooCommerce leads the way, powering 5.346 webshops, or 39% of the market. Shopify is a close second, used by 4.931 webshops, making up 36% of the market. The remaining 24%, or 3.192 webshops, utilize various other providers. The competition between Shopify and WooCommerce is tight in Norway, with only 415 webshops more (a 3%) built with the latter. The third one is MyStore, an E-Commerce provider created in Norway.

E-Commerce Platforms in Slovakia

There are 15.429 webshops in Slovakia. WooCommerce leads the market, powering 6.399 of these webshops, accounting for 41%. Shoptet follows with 3.502 webshops, making up 22% of the market. The remaining 36%, or 5.528 webshops, are built using a variety of other providers. Slovakia’s case is specially interesting, as Shopify is not the second choice. In its place we find Shoptet, a Czech platform that offers marketplace integrations to the Central European market. This can be relevant for companies looking to increase visibility and brand recognition in the region.

E-Commerce Platforms in Sweden

Sweden's E-Commerce landscape is strong, with a total of 31.588 webshops. WooCommerce has a solid position on the market, powering 13.293 of these stores, or 39%, showcasing its popularity among Swedish businesses. Shopify isn’t far behind, with 11.354 webshops, making up 34% of the market. The other 6.941 webshops, representing 26%, use a variety of different providers. We find similar data in Norway, the competition between WooCommerce and Shopify is close, with only a 4% market share of difference (roughly 2.000 webshops).

E-Commerce Platforms in Switzerland

Switzerland is home to 26.991 webshops, with WooCommerce and Shopify leading the market. 12.168 of these webshops are built with WooCommerce (45% market share), making it the most popular E-Commerce platform in the country. Shopify follows closely, with 9.841 webshops, representing 36% of the market. The remaining 19% (4.739 webshops) are built using different providers. Of the most used platforms in Switzerland, only PepperShop is Swiss company.

Better market intelligence

The data from analyzing 242.061 webshops confirms that WooCommerce and Shopify hold a dominant position, commanding 73% of the market share. Breaking this dominance is no easy task, as it would not only require mass migration but also new solutions that offer greater value than the globally leading commerce platforms.

However, despite the dominance of these major providers, there are still over 80.000 webshops using other frameworks. For instance, with over 15,000 webshops on PrestaShop and more than 13,000 using Magento, there remains a significant opportunity to develop plug-ins and solutions for these platforms.

Whether you're developing plug-ins or building software reliant on specific frameworks, understanding your total addressable market (TAM) is a key indicator of potential and helps determine if an investment is worthwhile. Additionally, knowing how different markets are penetrated provides insights into where to focus future sales and marketing efforts. The more data you have, the better informed your decisions will be.

If you’re interested in more data around the webshops, don’t hesitate to contact us on hello@tembi.io. We are adding more countries continuously so sign up for our newsletter to get the latest updates.

Last-Mile: 5 Key Tactics For Maximising Profits During Q4 Peak Season

s we approach the year's final quarter, the stakes for last-mile delivery companies couldn't be higher. With the majority of revenue generated from B2C webshops, Black Friday, Cyber Monday, and the Christmas season represent crucial opportunities to maximise profits.  

However, preparation for these peak periods involves more than ramping up staff, fine-tuning routing, and increasing throughput.  

At Tembi, having helped over 40 last-mile providers across Europe, we understand that strategic planning on the commercial side can make or break your Q4 performance. To help you in the process we have collected a five of our key learnings on the topic.

1. Make Sure Your Bases Are Loaded

Instead of focusing solely on acquiring new clients, ensure you're optimally positioned with your existing ones. Monitoring your position in their checkout process can yield significant returns. Being positioned as the top delivery provider at the delivery checkout can dramatically increase the number of orders you receive, often doubling or even tripling them.  

From several of our Last-mile delivery clients, we have witnessed an average of 30%-50% increase in top-1 rankings working tactically with this. Typically, this amounts to a total increase of 20%- 33% in revenue from the existing client base!  

2. Target the Right Clients, Not Just More Clients

Strategic client acquisition is essential. Focus on attracting webshops that boast a strong infrastructure, high order volumes, and the right geographical locations that align with your logistics.  

These targeted efforts can significantly enhance your profit margins and operational efficiency.

On the other hand, failing to identify the clients that are right for you means losing time and money on unsuccessful outreach, attending irrelevant meetings, and seeing your closing rate decline. And even worse, potentially attracting a non-profitable client for your business.  

Market research or a good market insight & sales intelligence tool will help ensuring you target the right clients. More is not always better.

3. Leverage Your Unique Advantages

Understand where you stand out compared to your competitors and highlight your unique selling points to differentiate yourself in a crowded market. Are your delivery times faster? Do you offer more sustainable options? Is your service reliability superior?

Tembi’s E-commerce Market Intelligence solution provides users with a comprehensive, data-driven market overview. This enables last-mile delivery companies to understand their performance and how they measure up against competitors. Our data not only visualises your strengths but also serves as credible evidence of your advantages.

Combining this data with comprehensive insights into each webshop in your market provides a significant advantage in sales meetings. You can tailor your pitch using up-to-date information, demonstrating how your solution will enhance the delivery experience for your customers' clients. This personalised approach showcases the specific benefits and improvements your service offers, making a compelling case for why your company is the best choice.

4. Plan and Work with Your Clients

Q4 is a vulnerable time for webshops, where faulty shipments and slow deliveries can be extremely costly. Success often stems from a partnership approach between webshops and last-mile providers.  

Engage deeply with your clients to ensure they see you as a trusted partner they can rely on during these critical periods.

In essence, this is where you want your sales and account management team to spend the majority of their time, which can be enabled by strong processes and the right tools/technologies to help your team be even more efficient.

5. Don’t wait - Start Today

Effective planning and execution require time, structured outreach, and meticulous account management. There is no easy way. The sooner you start, the better positioned you'll be to capitalise on the high season's opportunities. The time is now – not in October.

Get Ahead Of The Competition With Tembi

At Tembi, we bring years of experience in delivering market insights and partnership services that drive success.  

Our market intelligence solutions provide last-mile delivery companies with continuously updated data and insights into webshops, delivery provider rankings, export markets, technology usage, product categories, and much more - allowing companies to react swiftly to changes, maintain top rankings, and increase revenue from their existing client base.  

We tailor our supportive services to each client's needs, and we would love nothing more than to set up a free, non-committal session to discover how our e-commerce market intelligence solution could help your business achieve its revenue goals—both in Q4 and throughout the year.  

Insights from every webshop on the market – How we do it

ith Tembi you don’t just get enriched B2B company data, we’ve actually visited every webshop on the market to ensure it is operating, analysed its products to understand what product category it belongs to, and connected traffic data from SimilarWeb to understand how its popularity has developed. 

A similar exercise would take 82 years for a person if s/he worked without a pause. And we do it bi-weekly.

Tembi for sales and marketing teams

At Tembi we are fascinated by the challenge of large-scale data gathering and analytics, and the more complicated, the more creative our product and data science team gets.Our Market Intelligence solution for companies targeting webshops - E-commerce Core – visits bi-weekly any active webshop in the European market capturing data on:

 • Technology platform (WooCommerce, Shopify, Magento etc.)
• Payment providers/systems (Klarna, Ayden, Stripe etc.)
• Product data (Products sold, number of products, product growth etc.)
• Company data (Ownership, address, warehouse(s), financial data etc.)
• Operating markets (languages, export markets etc.)

On top of this, we use proprietary AI-models to categoriSe each webshop into a product category using both image recognition and large language models (LLM) to ensure high quality data when you filter our database.

Granular filters to match your ICP

We’ve been there ourselves, looking for that last filter to get a precise search result –why we’ve added over 50 filter options to our product to ensure you can find exactly the webshop you’re looking for. Filter or cross-filter on product categories, growth stage, number of employees, website traffic, number of products, languages –and if you would lack a filter, our team is quick to add it (if we have the data of course).

Advanced analytics that generate insights

With deep data on each webshop, we can uncover insights by combining data in different ways. Our econometric and AI-models can today predict revenue estimations, company growth and for example technological investments – adding a deeper understanding of the maturity of a webshops operations. 

Combining these insights with webshops data further increases your possibility of narrowing your targeting, as well as better understanding your current clients, or where you’ve had success lately.

 With better data, we can get better insights that helps us reach our goals faster. If you’re interested in getting a demo or better understand how our clients use Tembi – don’t hesitate to book a call - or find more material about our E-commerce Core Solution here.

How to build a data and AI-driven organisation

n today’s business world, being data-driven is no longer a question; it is a necessity. Organisations that don’t understand how to work with data and leverage it risk falling behind or even going out of business. However, merely being data-driven is not enough anymore. The rapid growth of access to artificial intelligence (AI) and lowered computing cost has amplified the significance of data, driving a shift towards predictive (and even prescriptive) intelligence to stay ahead of the competition.  

Transitioning from a data-driven to an AI-driven organisation presents immense opportunities, enabling companies to understand the competitive landscape better, and leverage both market predictions to gain an edge, as well as improving operations to lower operating expenses. This transition requires a fundamental change in how we operate and organise the company. Secondly, we need to decide where to start, and whether to build, or buy a solution.

Here we share five, simple, steps to ensure your organisations success in this transition.  

1. Management must clearly state that it is a goal

Achieving success with a transition is a strategic choice and an executional leadership challenge. It is crucial for management, whether top-level executives, business unit leaders, or team managers, to clearly communicate that the goal is to capitalise on the benefits of being data-, AI-, or analytics-driven, and where these benefits will have an impact, and why the transition is imperative for the organisation’s success. Leaders should:

  • Clearly state the necessity of this transition for organisational success.
  • Be transparent about the potential challenges of the transition.
  • Accept that the transition might take longer time than anticipated, especially if immediate benefits are not apparent.
  • Repeat the goal, ensure regular follow-ups on the agenda, at least monthly, preferably weekly, and support.

2. Organise the transition

Clarifying responsibility is essential as well as identifying the right person to lead the operational work of the transition. Allocate funding centrally rather than locally to prevent initiatives from being perceived as competing with short-term operational needs. By centralizing funding and clarifying responsibility, organisations can ensure that the transition to an AI-driven approach is viewed as a strategic investment rather than an operational cost.

3. Disseminate the solution broadly

It is unfortunate when initiatives become confined to a single department or individual. The benefits of an AI-driven approach are significant and extend across the entire organisation. Therefore, it is crucial to integrate solutions into as many teams as possible where there is a business case. Engaging more teams in the adoption phase offers several benefits:

  • Shared costs across more teams.
  • A unified language and collaborative efforts towards success.
  • Accelerated transition and higher combined ROI.

Avoid placing the burden on a single individual. Employ the innovative power of the entire organisation to achieve greater success.

4. Embed new solutions in daily routines

For new solutions and strategies to work, they must be integrated into daily operations. Overcoming existing habits and ways of working requires repetition until the new practices become habits. Incorporate the use of data and analytics tools into the organisational rhythm, such as in weekly meetings or daily stand-ups. Measure the impact of these new practices and share the progress with the entire organisation. Highlight how the transition is improving efficiency compared to previous methods.  

5. Embrace an Adaptive Mentality

Fostering an adaptive mindset is crucial for the transition to an AI-driven organisation. This mindset should infiltrate the company culture, regardless of role. Here are three tips for building a stronger adaptive mindset:

  • Identify and support superusers who can inspire and motivate others.
  • Hire individuals with an innovative mindset, both leaders and employees.
  • Promote a supportive culture through promotions, celebrating successes, and sharing positive results.

It might sound simple, but actively working on lifting and promoting the right people is very often overlooked. Make sure it is part of the leaderships action plan so this practice doesn’t fall between two chairs, or is forgotten within a couple of quarters.

Conclusion

Building a data and AI-driven organisation is essential for maintaining competitiveness in today’s business environment. Transitioning from being merely data-driven to embracing AI and predictive intelligence offers significant advantages, including a better understanding of the competitive landscape, leveraging market predictions, and improving operational efficiencies.

To ensure success in this transition, organisations should follow five key steps. First, management must clearly articulate that becoming an AI-driven organisation is a strategic goal. This involves transparent communication about the importance and challenges of the transition, along with regular follow-ups and continuous leadership support.

Second, organising the transition is crucial. This includes clarifying responsibilities and centralizing funding to ensure that AI initiatives are viewed as strategic investments rather than operational costs.

Third, disseminating the solution broadly across the organisation is vital. Integrating AI solutions into multiple teams enhances collaboration, shares costs, and accelerates the transition, leading to a higher overall ROI.

Fourth, embedding new solutions into daily routines ensures that these practices become ingrained in the organisation’s operations. Regular use and measurement of the impact help highlight the efficiency improvements over previous methods.

Finally, fostering an adaptive mentality is essential. This involves supporting superusers, hiring individuals with an innovative mindset, and promoting a culture that celebrates successes. An adaptive mentality ensures the organisation remains agile and responsive to new opportunities.

By following these steps, organisations can effectively leverage data and AI, achieving sustained success in an increasingly AI-driven world.

Nordic E-commerce Report

iscover data and insight around webshops in Sweden, Denmark, Finland & Norway. This report is free and available on LinkedIn for download.

What to expect inside?

We've visited and analysed over 70.000 active webshops in Sweden, Denmark, Finland & Norway. Orginsed around three topics you'll find:

➜ Insights around distribution of product categories
➜ Data on delivery prices and delivery methods
➜ Discover which technology platforms power the webshops
And much more ⏩

Go to our linkedIn page and view, or download your copy.

Previous E-commerce Reports

Baltic E-Commerce Market Intelligence Report (Published January 2024)
Nordic e-commerce Market Intelligence Report (Published October 2023)


Strategic Selling: Use Local Area Insights to Win Your Next Commercial Pitch

hen you're pitching as a real estate agent, knowing the details well shows your professionalism and sets you up for success. In commercial real estate, understanding the area around your property can really make a difference. It's not just about showing the space; it's about explaining its future potential and what's happening in the market around it.

While Tembi’s Market Intelligence Platform for Real Estate helps agents find tenants by predicting company relocations, this data is also very useful in pitches to Real Estate Owners.

Here are a few ideas and ways to improve your pitch using data from Tembi’s platform, moving it from a generic presentation to an insightful conversation around the commercial property and its area.

 

Present deep area insights

Know the types of buildings, available spaces, and current tenants. This lets you understand the area's composition and the types and sizes of businesses likely to move in. Analysing moving patterns helps you see where companies are coming from, how often relocations occur, and how long companies stay.  

Predicting Company movements

The commercial real estate market constantly changes, with companies of all sizes reassessing their location needs. Pointing out these potential moves can strengthen your pitch significantly. Clearly explain which businesses might move to the area and why with the help of Tembi’s Moving Probability Score. This shows you understand market trends and aligns with what your clients need.

Space requirements: Tailoring your approach

Knowing how much space a prospective tenant might need is crucial. This isn’t just about numbers; it’s about tailoring your offerings to the market’s needs. Discussing square meters in the context of tenant demands positions you as a knowledgeable partner, not just a facilitator. For example, consider whether it makes more sense to split a 400 square meter office into two or three units based on moving patterns and the area’s composition.

Catering to the right tenants

The types of companies moving into an area can greatly influence a property’s value. Whether it’s tech startups or law firms, understanding this dynamic can transform your pitch. Match the property’s features with the expectations and culture of incoming companies.

Data-driven discussions

Back up your claims with data, market analysis, or company data. Having this data at your fingertips boosts your credibility. It shows you’re informed, and your insights are based on reliable sources. By using targeted, data-backed information, you reduce time spent on generic preparations. This lets you create a more impactful presentation that addresses specific client concerns and market opportunities.

Lifting the conversation

Move from generic pitches to discussions that resonate more deeply. Talk about the property and its area not just as they are, but as they could be. This encourages deeper engagement from potential clients who see you understand their long-term success.

Knowing how the area around “your potential” property is developing gives you a strategic edge. It allows you to anticipate changes and position your property as a smart choice in an evolving landscape.

 

In commercial real estate, winning a pitch often comes down to how well you understand and convey a property’s location potential. By focusing on the broader context, you turn a simple sales pitch into a compelling vision of the future, clearly showing why the smart choice is to act now, with you.

Interested in knowing more about Tembi’s Real Estate solution, don’t hesitate to book a meeting with Dennis.

Read more about our Platform.

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Product
Last-Mile Delivery and Market Intelligence

n the fast-paced last-mile delivery sector, market intelligence is essential for success. By understanding your customers, competitors, and market trends, you can make informed decisions that lead to growth and profitability.

Market intelligence can help you identify new market opportunities, improve operational efficiency, and develop new products and services. It can also help you stay ahead of the competition and differentiate yourself from the crowd.

In this blog post, we have outlined a few specific examples of how last-mile delivery companies are using market intelligence to grow their businesses.

Staying ahead of the competition
Market intelligence can help last-mile delivery companies understand the competitive landscape and identify new ways to differentiate themselves. For example, a company might use market intelligence to identify new technologies that can help them improve their delivery services, or to develop new pricing strategies that are more competitive.

Identifying new market opportunities
By tracking market trends and customer behaviour, last-mile delivery companies can identify new markets to expand into or how green delivery is developing. For example, a company might identify a growing demand for same-day delivery in a particular city or region, or an understanding of the competitor's solution and market penetration of different delivery solutions.  

Understanding website traffic patterns and consumer purchase behaviour
Last-mile delivery companies can today track which product categories are growing and which webshop’s are growing in popularity, as well as which international sites are exporting to one’s country. By doing so, last-mile delivery companies can establish early partnerships abroad and better equip themselves for future demands and growth.

Developing new products and services
Market intelligence can help last-mile delivery companies understand the needs of their customers and develop new products and services that meet those needs. For example, a company might develop a new service that delivers packages to customers' workplaces, or a possibility to get delivery at very specific times in the evening.

Improving operational efficiency
Market intelligence can help last-mile delivery companies optimise their delivery routes, reduce costs, and improve delivery times. For example, a company might use market intelligence to identify the best locations for new warehouses, or to develop more efficient delivery schedules.

Getting good data for Market Intelligence is not easy, as it requires a lot of time, and quite often a big investment in data infrastructure and a plan to keep high quality and ensure data is actualized. Hence, many decisions are taken without bringing external factors into the mix or using poor data as a ground.

Different Market Intelligence platforms collect different types of data and can help companies better understand the market dynamics. Here are a few tips and suppliers for getting started with market intelligence.

Getting started with Market Intelligence

As with any strategic decision, starting the process, you need to define your goals. Market intelligence is not an answer, it is a tool. Are you looking for growth within a particular type of webshops, or price development of different delivery methods? Or a more complex question around identify new market opportunities. Once you know your goals, you can start to identify the data and insights you need.

Collect data
There are many different sources of market intelligence data, including customer surveys, industry reports, and government statistics. You can also collect data from your own internal systems, such as sales data and customer feedback.

Analyse the data
Once you have collected data, you need to analyse it to identify trends and insights. You can use a variety of tools and techniques to analyze data, such as data analytics software or more advanced methods using machine learning.

Share the insights
Once you have gained insights from your market intelligence data, you should to share them with your team to gather input, feedback, and get new ideas so you can keep iterating your work. You can either do a presentation or set up a dashboard that monitors the data and actualises your insights.

Tembi and Market Intelligence for Last-Mile Delivery

Our E-commerce Intelligence Platform – EIP – monitors every webshop on the market, and provides data around providers, prices, and delivery methods. This data can be filtered from a webshop category perspective or for example revenue, providing a comprehensive overview and intelligence of the market and competitors. Hence, EIP both collects and analyses the data, and provides (shares) the insights in simple overview. In other words, decision-ready intelligence.

Product
E-commerce Intelligence Platform

ith the E-commerce Intelligence Platform (EIP), we have set out on one of our most ambitious data and analytics ventures yet: to authenticate and catalog every webshop globally, defining product categories, individual products, and the delivery infrastructure. Our aim is to build the most expansive and current e-commerce database, one that can proactively empower webshops, carriers & delivery providers, and suppliers to navigate through the dynamic, ever-expanding market.

EIP was first introduced in Denmark in 2021 and has since extended its reach to Sweden, Norway, Finland, the Netherlands, Latvia, Lithuania, and Estonia. To date, we systematically and repeatedly index, validate and analyze over 200,000 webshops, classifying them into different product categories.

So, why embark on this colossal task?

The objective behind EIP is to provide the industry with unparalleled Market Intelligence. To achieve this, it was imperative for us to go beyond the surface-level offerings and gain a deep understanding of the last-mile delivery mechanics, the various providers involved, and the pricing structures.

Benefits of EIP

All webshops in one place
EIP offers a comprehensive market overview, identifying and validating every operational webshop, while discarding inactive ones. We have established a direct link between each webshop and its owner, detailing ownership, headquarters, and financial figures. By evaluating the webshops' offerings and categorizing their products, we understand the technological platforms utilized and the delivery services provided, including pricing and export capabilities.

Our "Market Scrape" equips users with a detailed snapshot of all webshops in a specific market. For deeper insights, particularly into the largest, custom-built webshops, our "Custom Scrape" service offers an in-depth analysis.

Checkout monitoring
Understanding the last-mile market, we monitor each delivery checkout on all webshops, gathering information about providers and their position on the list of delivery options, delivery methods and prices, free-delivery threshold, and green delivery options – giving us comprehensive view of the shipping market and how it evolves from a public perspective.

We keep a pulse on the last-mile delivery market by continuously monitoring checkout processes across webshops. This monitoring captures data on delivery providers, their ranking in delivery options, pricing strategies, thresholds for free delivery, and eco-friendly shipping options, thereby offering an overview of the evolving shipping landscape.

 

Decision-ready Market Intelligence
Merging our data with metrics like order volumes allows last-mile delivery providers to proactively respond to changes in their checkout positioning, preventing potential revenue drops.

“Prior to Tembi, identifying a lost position at a store’s checkout could take up to six weeks, during which we would lose about 64% of order volumes. With EIP's immediate updates, we can swiftly address the issue, preventing significant revenue losses”

Webshop integration manager

Let us say you charge €3,0 per delivered package and expect 100 packages per day (on average). The daily revenue is €300. Losing 64% of the volume equals to a loss of €192 per day. During six weeks that loss amounts to €8.064.  

With EIP, as soon as a positioned is lost, you are notified, and can talk to the store, and manage your delivery operations immediately.  

From a strategic perspective, both as a webshop owner, as well as delivery provider, you can track which delivery methods are popular, what are the market prices, and where is the market developing, both on your own market, but also abroad.  

Automated lead generation
Understanding the supplier network of providers for webshops within different fields - delivery, payments, and technology - opens an overview of who works with whom. Giving providers competitive intelligence and a perfect data set for lead generation and prospecting.  

As a delivery provider, being able to see all your clients in one simple overview with metadata, you will equally see where you are not present. By understanding previous relationships and solutions used, you can improve your sales pitch and competitive edge.

EIP use-cases

There are multiple ways to use EIP and the data. Here are a couple of examples.

EIP for Account Managers
See what technologies your clients are using, and which providers they work with. If you work with last-mile delivery, you can see your position in each check-out and follow your client's business and get the latest data before your check-up.

EIP for prospecting
Whether you work with professional services for webshops or selling software, you can find each webshop on your market and find precisely the type of webshop you are looking for with our filters.

EIP for Business Development
See and follow market trends, track your competitors and always be up to date.  

EIP for Customer Success
From the moment you have a new client, follow the implementation and results. Track critical changes and get access to detailed customer business information.

EIP for Analysts and Business Intelligence
Via our API you can extract all our data to your own system and combine external data with your internal data to track correlations, get a full competitor, and market overview.

“A dynamic market requires ongoing data collection.”

Christian Mejlvang, head of product at Tembi

The technology behind EIP

Our data foundation is robust, encompassing over five billion data points, which include both real-time and historical data collected from 2021. We augment this repository daily with over one million data points to guarantee not only the high quality of our data but its relevance as well.

Utilizing diverse machine learning techniques such as AI (Artificial Intelligence), NLP (Natural Language Processing), LLM, and image recognition, we convert raw data into actionable intelligence, aligning with our commitment to transforming data into insight. This data undergoes a process of enrichment, contextualization, and multi-level automated verification to ensure its integrity. We categorize our data into three tiers of quality—Bronze, Silver, and Gold—and it is only the Gold-standard data that is displayed on the EIP platform, reflecting our dedication to the highest standards of excellence.

Our data acquisition strategy is multifaceted: 1) sourcing open data, 2) procuring datasets from various providers, 3) deploying our proprietary scrapers to gather exclusive data, and 4) generating novel data through analytical methods applied to the data we have. This fourth approach underpins our Predictive Market Intelligence service.

We employ a combination of econometric and predictive machine learning models to create proprietary datasets. These are instrumental in our analysis of market trends and trajectories, providing an innovative perspective on market dynamics.

Interested in knowing more about EIP? Contact us.

Market Intelligence
A Guide to 10 Key Types of Business Intelligence

here are many “intelligences” in the world of business. Besides the cognitive ability of a business’s staff, it refers to the information that has been gathered, analysed, and presented in a way that is useful for decision-making. It is not just raw data; intelligence is actionable information that provides insight into a particular subject, such as a competitor’s activities or internal business capabilities. "Intelligence" is a multifaceted term that usually denotes a high level of understanding, awareness, or information processing, whether by humans, collectives (like organizations), or technology.

What type of intelligence is needed often depends on what strategic decision you are looking to make, what type of resources you have, and the amount of data. Here are the ten most common ones:

Business Intelligence is a technology-driven process for analysing data, presenting actionable information to help executives, managers, and other corporate end users make informed business decisions. BI encompasses a variety of tools, applications, and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards, and data visualizations. This process offers comprehensive business metrics, often in real-time, to support better decision-making. With BI, businesses can focus on data-driven strategies to address weaknesses and capitalize on strengths.

Market Intelligence is the gathering of relevant data about the entirety of a company's market space. It covers broad spectrums such as understanding industry trends, identifying market opportunities, and detailed insights into competitors and customers. This intelligence is crucial for forming market entry strategies, pricing models, business development and sales & marketing initiatives. It aids businesses in anticipating market shifts and consumer needs, enabling proactive rather than reactive strategies. The insight gained from market intelligence informs various strategic decisions, such as market opportunity assessment, market penetration strategy, and market development.

Marketing Intelligence is the practice of collecting data from a variety of sources about the market environment a business operates in. It includes the analysis of consumer behaviour patterns, campaign outreach, and purchase triggers. The focus is to understand the success of marketing efforts and to gauge the sentiment and preferences of current and potential customers. It influences tactical marketing decisions and helps businesses adapt their strategies to better meet consumer expectations, enhance brand loyalty, and optimize return on marketing investment.

Competitive Intelligence refers to the systematic collection and analysis of information about competitors and the competitive environment. CI aims to provide a complete picture of the marketplace and the forces at work within it, encompassing aspects such as competitors' strategies, market developments, new entrants, and technological advancements. Effective CI provides a legal and ethical means to anticipate competitive moves and stay ahead of industry trends, supporting strategic planning and risk management.

Customer Intelligence (CI) is a sophisticated analysis of customer data designed to create comprehensive portraits of ideal customers to better understand and predict their behaviour. It is an advanced step beyond basic customer service, seeking not just to address customer needs but to anticipate them. CI combines demographic and psychographic data with transactional and behavioural insights to paint a detailed picture of current and potential customers. This intelligence helps in personalizing marketing strategies, enhancing customer experiences, and boosting customer loyalty. In the age of big data, companies leverage machine learning and AI (Artificial Intelligence) algorithms to process vast amounts of information, providing a deep dive into customer preferences, pain points, and potential opportunities for cross-selling and up-selling.  

Financial Intelligence combines understanding a company's financial health with the savvy to use this data in making robust decisions. It involves the analysis of financial data like cash flow statements, balance sheets, and income statements to grasp a company's financial condition and forecast its future performance. It is not just about number crunching; it also includes reading between the lines of financial statements to identify the underlying performance factors, assessing the company's fiscal policies, and ensuring regulatory compliance. Financial Intelligence helps in capital budgeting, financial planning, and aligning financial goals with corporate strategy.

Operational Intelligence (OI) is the real-time dynamic, business analytics that delivers visibility and insight into data, streaming events, and business operations. OI solutions run query analysis on live feeds and event data to deliver real-time operational insights. It involves understanding and optimizing labour productivity, machinery performance, and other operational sectors. By integrating and analysing data from various operations, businesses can quickly identify and address inefficiencies, ensuring the smooth functioning of processes and supporting continuous improvement.

Sales Intelligence refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of information to help salespeople keep up to date with clients, prospect data, and drive business. It includes a range of activities, such as tracking customer data and interactions, social media monitoring, and sales forecasts. With accurate and insightful sales intelligence, sales teams can enhance their productivity, improve lead generation and conversion rates, and drive increased sales and profitability.

Product Intelligence involves collecting and analysing data concerning one's products and those of competitors. It is pivotal in understanding how a product performs across its lifecycle, which features resonate with customers, and what improvements should be prioritized. This intelligence is crucial for product development, management, and innovation, informing companies about user feedback, product usage patterns, and market demands. By leveraging product intelligence, businesses can tailor their product offerings to better meet customer needs and stay competitive in the market.

Technological Intelligence is the systematic gathering and analysis of information about the technological environment of a business to aid decision-making. It includes tracking trends in technology advancements, research and development within the industry, patent filings, and regulatory changes. With a solid technological intelligence strategy, a company can foresee technological disruptions, identify new business opportunities, innovate, and maintain a competitive edge. This intelligence is vital for strategic planning, particularly in industries where technology evolves rapidly and is a key differentiator.

Many types of intelligences are not exhaustive and often overlap. Businesses typically leverage a combination of these intelligence types to inform various functional and strategic areas within their organizations.  

 

Technology
Connect the world’s information to better understand future

aking a decision is easy but knowing how to make the right decision at the moment of choice, now that is tricky. As the outcomes and consequences are only known after the decision has been made, we try hard to mitigate the risk of making a wrong one.  

Like a game of probability, we weigh different information and data, and play out the possible outcomes against each other to narrow down our choices, and, well, make a bet. Given the vast amount of information and data available, gathering the needed and relevant information can be a challenge. For the human mind it is impossible to grasp all inputs and data at once. And it is practically impossible. Additionally, as we learn new information, we may create new connections and gain new insights that open new possibilities. Which often leads to the question, "What if...?"

Lastly, before executing the decision, we weigh our options and evidence, and filter it through the personal and/or corporate value filter. By repeating this process, and adding a decision-review step, we learn how to make better decisions. The more we know, the more experience we have, the better our chances of making the best possible choice. And that is how it has been for the last ten of thousands of years.  

While we have evolved our ability to gather and access information with software, and made the analytical part simpler and more accessible, machine-assisted decision making and execution is about to change the decision-making process.

AI and decision making

The human brain can process 11 million bits of information per second, but our conscious minds can handle only 40 to 50 bits per second. And while we do not always forget, retrieving the right information at the right time is not straightforward.

Our ability to gather and analyse data is limited by our knowledge, time, and “computational power.” However, if we know what information we need, there are now thousands of tools that can help us gather the data and connect it with other data sources to uncover new insights and patterns.

Predicting the future based on historical patterns is not a complicated science, but rarely a trustworthy one. Machine learning algorithms have increased the accuracy and given us a better foresight of how decisions and events might unfold, making it possible to simulate different scenarios and study decision consequences without having to execute a decision. The possibility of setting up “What-if” scenarios and playing them against each other, pushes us closer of being able to make the right, rational decision.  

Building on the previous point about the importance of good data, let us talk about the challenge of data diversity. Machine learning models are only as good as the data they are trained on. If you train a model on a narrow dataset, it will only be able to make predictions that are relevant to that dataset. For example, an automated script writer that is only trained on movies and books written by Quentin Tarantino will always produce scripts that are similar to Tarantino's work. The same thing happens if you run your analytics only based on your company's internal data without considering external data such as market and competitor data.  

Powerful and accurate models combine data from a variety of sources to reduce bias, improve generalisation, and identify new patterns and insights. For example, a company that is developing a model to predict customer churn could combine data from its internal CRM system with data from external sources such as social media and customer reviews. This would help the company to identify patterns and insights that it would not be able to see by looking at its internal data alone.

Prescriptive analytics  

The one type of analytics that will profoundly change our decision-making process, and profoundly change how we work, is prescriptive analytics.

Prescriptive analytics is (currently) the final stage in the analytics spectrum, which includes descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics answers the question "What happened?", diagnostic analytics explain “Why it happened!”, predictive analytics addresses "What might happen?", and prescriptive analytics tackles "What should we do about it?", including all former analytics in its process.  

When we make decisions, all these analyses happen naturally in our brain and are part of our decision process. The extent of how much we analyse depends on the time we have, the number of people involved, and the consequences of the decision. If we have little time or the stakes are low, we may make a quick decision with minimal analysis. However, if we have more time or the stakes are high, we will spend more time trying to analyse the situation and considering our (imagined) options.

If we turn to machine-assisted decision making powered by prescriptive analytics many of parts of decision process become automated. Using machine learning, algorithms, and computational modelling, prescriptive analytics provide insights, simulates different scenarios, and suggest actionable steps in response to a predicted outcome or scenario.

For example, in supply chain management, prescriptive analytics might suggest optimal routes for delivery based on predicted weather conditions, anticipated traffic patterns, and historical accident data. Or, in finance, it could recommend investment strategies based on a forecasted economic downturn.

A New Paradigm of Decision-Making with Prescriptive Intelligence

A step-by-step decision-making process includes most commonly these seven parts:

  1. Identify the decision
  2. Gather information
  3. Identify alternatives
  4. Weigh the evidence
  5. Choose among the alternatives
  6. Take action
  7. Review the decision

Imagine that you have a data foundation that gathers all your data in one place, both external open data (market, competitors etc.) and internal. You have billions of rows of present and historical data, cleaned, enriched, and contextualised. You are a Business Development Manager at a Last-Mile delivery company, and you are tasked with expanding sales to a new area. Where do you start?

1. Identify the decision

In which geographical area can we increase our revenue the most?  

2. Gather information

Where are our competitors present?  
What are our competitors' prices?  
Where are our terminals?  
How much are we today delivering in each area?
What delivery options are the most popular in which area?  
What investment will be needed for each area?  
Etc.  

3. Identify alternatives

All areas and options are listed. Business cases are presented.

4. Weigh the evidence

Alternatives are weighed against each other. Pros and cons are discussed.

5. Choose among the alternatives

Once you have weighed all the evidence, you are ready to select the alternative that seems best for the company. You may even choose a combination of alternatives.

6. Take action

You implement the chosen alternative. It is time for execution.

7. Review the decision

You review the results of the decision and see how your expansion plan is working out and iterate.  

With prescriptive intelligence in place, the machine assisted decision-making process is similar, but at the same quite different as the effort lies in the beginning, and not the collection of information. We assume here you have access to a tool that combines market data with internal data.

1. Identify the decision

In which geographical area can we increase our revenue the most?  

2. Goal formulation (prompting)

What are the results that you are looking to achieve and through what means. List interesting areas for exploration and factors you think are relevant.

3. Scenario evaluation

Alternatives and scenarios are simulated and presented by the AI describing the steps needed to reach formulated goal. Costs and risks are listed based on data that is available. You have the possibility to deep dive into areas to expand your analysis or follow the recommended path.

4. Weigh the scenarios

Recommendation is weighed against the other scenarios.

5. Scenario implementation

You implement the chosen scenario and measure against milestones and goals set by the AI.

6. Review the chosen scenario

The decision and chosen scenario are evaluated in real time with the AI to ensure ongoing learning and optimisation.

If we look past the fact that much of the decision-making process is automated, we move from hypothetical discussions around outcomes and consequences to an evaluation of the proposed steps to reach the decision and set goal. The proposed scenario is not unbiased and unemotional, it is guiding force explaining how to reach that goal with what is available.  

Science fiction?  

Prescriptive intelligence is not something we imagine anymore, it is being worked on today, and there are already solutions in the market for specific use cases. Our decision-making process will not only be faster (timewise), but we will also be able to be much more accurate in understanding outcomes and the decisions in between we need to make to reach a certain goal.

Finding the competitive edge

If everyone can afford the same tools and have access to the same data, isn't there a risk that we will all pull towards the same goals in our respective fields? Isn’t it all about increasing profit through expansion or decreasing costs?

The chances of that scenario are limited.

Not one company has the same data as another one. We can acquire datasets, predictions, but in the end how we operate, they people we employ, the decision we made, and our assets and business models are not the same. Each company has its own strategy, so even if we all access the same market intelligence, the outcome will be different. But just as generative AI has shown with ChatGPT and Midjourney, the playfield has become much more even.  

Market analysis and expensive data is becoming less expensive and available to a larger extent of companies, and not only the big ones.

Market intelligence

A general prescriptive analytics platform is still a couple of years in the future. At Tembi, we have built the data foundation for it, and are constantly working on adding new machine learning based prediction and econometric models to create better insights and foresights for our clients based on open data.

While companies have their internal data, we provide extensive access to open data, and ready-to-go-analytics – or market intelligence – that provide actionable insights to the decision-making process. Many of our clients use our API to connect their data with our data to examine and understand (i.e.) volume fluctuations (revenue drivers) with external events, and hence be able to understand how external factors impact their business, mitigate risk, or uncover new business possibilities.

The more we connect the world's Information the better we will understand the future, and the more impact our decisions will have. And that is why we work here at Tembi. Until we provide a general prescriptive intelligence platform for executing successful business decisions, we focus on providing market intelligence that is beyond what can be seen by a person online. We combine data from multiple industries and build market predictions models based on changes across different industries.  

Technology
Predictive Market Intelligence: Transforming Open Data into Intelligence

n today's data-driven world, the abundance of information and the advancement of analytical tools have sparked a competitive quest for insights. As data becomes more affordable and accessible, the ability to use this data effectively becomes a decisive factor in staying ahead. But having data is one thing; making sense of it to predict the future is quite another. It is a complex task that goes beyond just crunching numbers—it is about weaving together diverse parts of information, both old and new, to form a clear picture of what lies ahead.

This article aims to untangle the concept of Predictive Market Intelligence, demonstrating how it operates and its value in a business context. We will look at how this approach to data can lead to smarter decisions and how it is shaping the way companies move forward.  

What is Predictive Market Intelligence?

Predictive Market Intelligence (PMI) stands at the confluence where big data analytics, artificial intelligence, and advanced market research meet. It is the art and science of collecting vast amounts of open data - from (i.e.) market trends, company behaviour, to global economic indicators - and analysing them to forecast future market conditions. The aim of PMI is not only to investigate information based on past market performance – historical data – but to forecast the evolution of markets, specific industries, or companies, by employing diverse analytical methods and algorithms.

Unlike traditional market research, Predictive Market Intelligence is dynamic, constantly refining its insights with a steady stream of real-time data. This process enables businesses to not just interpret the present but also to anticipate and prepare for future market developments, gaining foresight and deepening their understanding of potential future scenarios.

Applications of Predictive Market Intelligence

If companies can use Predictive Market Intelligence to gain foresight, can PMI be applied everywhere, or are there particular interesting applications of this approach to market analysis and strategy? Here are a couple of examples:

Enhanced Forecasting Abilities
  • Anticipating Market Trends: Predictive Market Intelligence allows companies to not just understand current market dynamics but to anticipate future trends. By analysing patterns in data, businesses can foresee changes in consumer preferences, economic shifts, or industry disruptions. This foresight enables them to adapt their strategies proactively rather than reactively, staying ahead of the curve.
  • Identifying Emerging Opportunities: With Predictive Market Intelligence, companies can spot emerging opportunities in their industry. This could include untapped market segments, new product possibilities, or innovative service offerings that have not yet been fully realised by competitors.

Data-Driven Decision Making
  • Reducing Uncertainty: In business, uncertainty can be costly. Predictive Market Intelligence significantly reduces this uncertainty by providing data-backed insights. When decisions are based on solid data, the risks associated with them are significantly lowered.
  • Strategic Alignment: Predictive Market Intelligence aligns various aspects of a business - from marketing and sales to product development and supply chain management - with the overall market dynamics. This alignment ensures that every part of the business is working towards a common, data-informed goal.

Improved Customer Understanding
  • Tailored Customer Experiences: By understanding customer behaviour and preferences through Predictive Market Intelligence, companies can tailor their products, services, and marketing efforts to meet the specific needs and desires of their target audience.
  • Building Customer Loyalty: Businesses that consistently meet or exceed customer expectations foster stronger customer loyalty. Predictive Market Intelligence plays a crucial role in enabling businesses to understand and predict what their customers want, often before the customers themselves know.

Operational Efficiency
  • Streamlining Operations: Predictive Market Intelligence can identify inefficiencies in operations, supply chains, and production processes. By addressing these inefficiencies, companies can reduce costs and improve their overall operational effectiveness.
  • Resource Optimisation: With Predictive Market Intelligence, businesses can allocate their resources more effectively, whether it's human resources, capital investment, or marketing spend, ensuring that every dollar spent is optimised for maximum return.

Competitive Analysis
  • Benchmarking Against Competitors: Predictive Market Intelligence tools can analyze competitors' performance, strategies, and market position. This insight allows companies to benchmark their performance and strategise accordingly to gain a competitive advantage.
  • Adaptive Strategies: In fast-paced industries, what works today might not work tomorrow. Predictive Market Intelligence empowers companies to quickly adapt their strategies in response to competitive moves or market shifts.

Technology Behind Predictive Market Intelligence

Retrieving Market Intelligence is a question of gathering data from various sources, organising the gathered data, and applying different technologies to validate, enrich and put the data into context. The last step is to apply different analytical models depending what outcome one is looking for. So, where the first step is about gathering (open) data, the second analytical step is the creation of synthetic data (programmatically generated data).  

Each step of the process, from open data to intelligence, uses different technologies. Each plays a unique role and function, but applied together, collectively, these technologies can create incredibly precise projections. Let us dive into a couple of them.

Data Mining and Aggregation

Central to Predictive Market Intelligence is the process of data mining and aggregation. This involves the meticulous gathering of vast volumes of data from a multitude of sources like public information, financial reports, and for example websites. The objective is to amass a comprehensive dataset that encapsulates the diverse aspects of the market and company behaviors. This rich tapestry of data forms the foundation upon which further analysis is built.

Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) stand at the core of Predictive Market Intelligence, processing and interpreting the extensive data collected. AI algorithms are adept at discerning complex patterns and relationships within the data, which are often imperceptible to the human eye. Simultaneously, ML models, with their ability to learn and improve from the data, continuously refine their insights, ensuring they remain relevant and accurate in a rapidly changing market.

Natural Language Processing

A key component in understanding context is Natural Language Processing (NLP). NLP technologies delve into text-based data, analysing news articles, pdfs, and websites. They are particularly effective in understanding the context of the written text, and being able to synthesis substantial amounts of data and help verify what the data is

Predictive Analytics

Predictive analytics brings a forward-looking perspective to Predictive Market Intelligence. By employing statistical and econometric models as well as forecasting algorithms, it anticipates future market behaviors, trends, and company needs. This facet of Predictive Market Intelligence is instrumental in risk assessment and scenario planning, allowing businesses to prepare for various future market scenarios.

Big Data Analytics and Cloud Computing

Big Data Analytics provides the muscle to process and analyze the immense datasets characteristic of Predictive Market Intelligence. It offers real-time analysis and sophisticated data visualization tools, making complex data understandable and actionable. Complementing this is cloud computing, which offers the necessary infrastructure for data storage and analysis. Its scalability ensures that businesses can adapt to varying data demands, while also offering cost-effective solutions compared to traditional in-house data centers.

For Experts and Beginners Alike

Predictive Market Intelligence is not only for experts. With platforms such as Tembi, PMI is today accessible for everyone, regardless of analytical skill set. While there are use-cases that require tailormade algorithms, predictions such as company growth, market trends and econometric forecasts are already available. And with decision-ready market insights, companies can quickly adapt to a data-driven decision process without heavy investments.

Predictive Market Intelligence for Experts

For the expert, Predictive Market Intelligence serves as an advanced tool that complements and elevates their analytical skills. PMI can be used to validate hypotheses, refine models, and conduct in-depth analyses that underpin robust, strategic decisions.

The technology used in Predictive Market Intelligence lets experts quickly sort through and understand huge amounts of data. This means they can get a clear picture of how markets are changing, what competitors are doing, and how companies are behaving. With this kind of intelligence, experienced professionals can make accurate predictions and find new business opportunities before anyone else does.

For less savvy analytical minds

For those new to Predictive Market Intelligence, it can seem both exciting and a bit overwhelming at first. But this technology simplifies the process of understanding the market by turning complicated ideas into clear insights. It provides easy-to-use tools and clear visuals that help make sense of complex data.

With Predictive Market Intelligence, even those just starting out can get a complete view of the market. They'll learn to spot the important signs that show changes in what consumers want or in the economy. This technology is like having a guide and a coach in one, helping new users think strategically and make decisions based on data.

A Convergence of Knowledge

Predictive Market Intelligence acts as a bridge between theory and practice, enabling a fluid exchange of knowledge across all levels of expertise. It is a field that values the knowledge of the expert and nurtures the growth of the newcomer. By fostering an environment where learning is continuous and insights are accessible, Predictive Market Intelligence ensures that all users, regardless of their level of expertise, can contribute to and benefit from the intelligence it provides.

What is next for Predictive Market Intelligence

The future of Predictive Market Intelligence looks particularly promising as cloud computing costs, which have been a significant factor in the past, are expected to continue their trend towards more economical and efficient services. As the price-performance ratio of technologies like GPUs improves, companies can leverage more powerful analytical capabilities at a lower cost. This could further democratize PMI, allowing smaller businesses to engage with what was only accessible to larger corporations. The integration of emerging technologies such as distributed cloud and advanced AI (Artificial Intelligence) algorithms will further enhance PMI's accuracy and speed, offering businesses of all sizes the predictive insights needed to stay ahead in an increasingly data-centric world.

What will be key, as always with the development of analytics and AI, is the quality and the amount of data. With a democratization of technology, the winners will be the ones that invest in good data gathering processes – both internal and external open data – and have solid data partnerships in place.

One thing is sure, we have only touched the very beginning of this approach. But already today, it is evident that companies that utilize external data in their decision process, have far better chances of making better decisions. Giving them a better competitive edge.

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Market Intelligence

Nordic Market Intelligence report: September 2024

he Nordic eCommerce report dives into the eCommerce market in Sweden, Finland, Norway and Denmark. The report is free and available for download here.

What to expect inside?

Looking into data from 79.000 online retailers that sell physical goods we analysed what type of commerce platforms are popular, which payment providers are mostly used as well as delivery methods and product categories.

Interested in knowing more about our data, or are you looking to reach a specific type of webshops? Contact our sales here for a short intro.

Previous E-commerce Reports

Baltic E-Commerce Market Intelligence Report (Published January 2024)
Nordic e-commerce Market Intelligence Report (Published October 2023)

E-commerce

The most popular commerce platforms across ten European markets

hen starting a webshop, you have two options: build a custom site from scratch or choose a ready-to-go commerce platform to manage inventory and sell products or services online. Given that webshops have existed since the early days of the internet, there are now numerous providers catering to both entrepreneurs and established businesses.

A variety of commerce platforms power European webshops, from large international providers like Shopify and WooCommerce to smaller local specialists such as Dandomain in Denmark and Voog in Estonia. Larger platforms often offer the benefits of scale, while local providers might offer specialized solutions and compliance with regional regulations that enhance scalability.

Choosing the right platform is not just important for those building webshops, but also for the ecosystem surrounding commerce platforms. Not all plug-ins and solutions are compatible with every framework, and understanding a platform’s market penetration can be a strong indicator of its success and investment in that region.

In this article, we take a deep dive into the most widely used commerce platforms across 10 European markets, examining which solutions are the most popular. It’s likely no surprise that Shopify and WordPress’s open-source WooCommerce plugin dominate, but who are the other key players?

Looking at Switzerland, The Netherlands, Slovakia, Denmark, Finland, Sweden, Norway, Lithuania, Latvia and Estonia we’ve identified a total of 242.061 active webshops. With over 100.479 webshops, or 32%, Shopify is trailing behind WooCommerce with 9%. Looking at these 10 markets, WooCommerce is today the preferred e-commerce platform with around 129.480 webshops.

The fact that we only identified 6.682  custom-built webshops (2,1% of the dataset), shows just how powerful commerce platforms are today, where both large and small webshops can benefit from the platform's investments in technology and solutions that make it easy, and possible, to operate and grow a business online.

Before diving into the specifics of each market’s platform penetration, let’s quickly explain how we gather and maintain the quality of this data.

Gathering quality webshop data

Monitoring hundreds of thousands of webshops on an ongoing basis demands a robust validation process to maintain high-quality data. At Tembi, we automatically filter out inactive webshops, businesses in bankruptcy, and webshops not registered as official companies, and we can only to this by actually visiting the webshops and analyze their operations continuously. We’re not B2B lead list generation company per se, but our data is used by many companies to improve sales and help identify business opportunities.

Once the validation process is complete, and we’ve analyized the webshops products, our system categorizes each webshop into a product category and enriches the data with for example website traffic data and company data.

If you're interested in learning more about how our technology works, be sure to check out our article: Insights from every Webshop on the Market

Deep dive into commerce platforms in European countries

Having looked how the distribution looks over 10 European countries, let’s examine which E-Commerce platforms are popular in each country and see what insights we can uncover into regional preferences and market trends.

E-commerce platforms in Denmark

In Denmark, we can find a total of 32.720 webshops. We have identified that 13.567 webshops are built using WooCommerce, and 11.703 are built with Shopify. Just as it also shows in the picture of the ten European markets, WooCommerce and Shopify power the majority of the webshops. The remaining 24% (7.450 webshops) utilize various other providers. With 2.164 webshops, Dandomain stands as the third most used platform in Denmark, likely due to its local roots and strong integration with popular hosting services in the country.

E-Commerce Platforms in Estonia

Estonia has a total of 8.568 webshops, with WooCommerce as the clear market leader. WooCommerce is used by 5.846 webshops, representing 68% of all Estonian market. In second place, like in most markets, Shopify follows, but with only 9% of the market, totaling 739 webshops.  WooCommerce’s strong presence in Estonia gives it the highest market share in the group of the analysed countries. In third place we find the local e-commerce platform, Estonian Voog, powering 570 webshops. Voog offers native language support and is perfect for small to medium-sized companies, which could also explain why WooCommerce owns such a big portion of the market.

The remaining 23% of E-Commerces, without the ones using WooCommerce and Shopify, are built using various other providers (1.983 webshops).

E-Commerce Platforms in Finland

Finland has a total of 15.092 webshops, with WooCommerce and Shopify being the market leaders. 6.953 webshops in Finland use WooCommerce (45% of the Finnish market), while Shopify is used by 4.014 webshops, accounting for a 26% market share.

The remaining 28% (4,125 webshops) utilize various other providers. Notably, 644 webshops (5% of the market) are custom-built, highlighting a segment of businesses opting for fully tailored E-Commerce solution. With a strong tech and design culture, Finnish businesses likely leverage local expertise to create bespoke solutions cater directly to their target market. MyCashFlow, a Finnish E-Commerce Platform, is the third most used one in the country, accounting with 1.327 webshops, a 9% of the total.  

E-Commerce Platforms in Latvia

There are 4.903 webshops in Latvia. Of this number, 1.841 webshops are built with WooCommerce (37% of Latvian webshops) and 1.201 webshops are built with Shopify (24%). The other 1.861 webshops (38%) use different providers.

E-Commerce Platforms in Lithuania

Lithuania has a total of 12.077 webshops, with WooCommerce as the most popular platform, powering 6.568 stores, or 55% of the market. Shopify is the second most used (2.198 webshops) making up 18% of Lithuanian online stores. The remaining 26% (3.311 webshops) use various other providers, with PrestaShop ranking third, supporting 1.506 webshops and capturing 12% of the market. As we can see, PrestaShop ranks very closely to Shopify. We see how two Lithuanian E-Commerce platforms, such as Shopiteka and Verskis, are too the most used ones.  

E-Commerce Platforms in The Netherlands

The Netherlands have a highly developed E-Commerce market with 81.224 webshops. WooCommerce has by far most clients, powering 38,316 stores, or 46% of all online shops. Shopify follows with 21,534 webshops, accounting for 26% of the market. The remaining 27%, or 21.374 stores, are distributed across various other providers.

E-Commerce Platforms in Norway

Norway has an E-Commerce market with 13.469 webshops. WooCommerce leads the way, powering 5.346 webshops, or 39% of the market. Shopify is a close second, used by 4.931 webshops, making up 36% of the market. The remaining 24%, or 3.192 webshops, utilize various other providers. The competition between Shopify and WooCommerce is tight in Norway, with only 415 webshops more (a 3%) built with the latter. The third one is MyStore, an E-Commerce provider created in Norway.

E-Commerce Platforms in Slovakia

There are 15.429 webshops in Slovakia. WooCommerce leads the market, powering 6.399 of these webshops, accounting for 41%. Shoptet follows with 3.502 webshops, making up 22% of the market. The remaining 36%, or 5.528 webshops, are built using a variety of other providers. Slovakia’s case is specially interesting, as Shopify is not the second choice. In its place we find Shoptet, a Czech platform that offers marketplace integrations to the Central European market. This can be relevant for companies looking to increase visibility and brand recognition in the region.

E-Commerce Platforms in Sweden

Sweden's E-Commerce landscape is strong, with a total of 31.588 webshops. WooCommerce has a solid position on the market, powering 13.293 of these stores, or 39%, showcasing its popularity among Swedish businesses. Shopify isn’t far behind, with 11.354 webshops, making up 34% of the market. The other 6.941 webshops, representing 26%, use a variety of different providers. We find similar data in Norway, the competition between WooCommerce and Shopify is close, with only a 4% market share of difference (roughly 2.000 webshops).

E-Commerce Platforms in Switzerland

Switzerland is home to 26.991 webshops, with WooCommerce and Shopify leading the market. 12.168 of these webshops are built with WooCommerce (45% market share), making it the most popular E-Commerce platform in the country. Shopify follows closely, with 9.841 webshops, representing 36% of the market. The remaining 19% (4.739 webshops) are built using different providers. Of the most used platforms in Switzerland, only PepperShop is Swiss company.

Better market intelligence

The data from analyzing 242.061 webshops confirms that WooCommerce and Shopify hold a dominant position, commanding 73% of the market share. Breaking this dominance is no easy task, as it would not only require mass migration but also new solutions that offer greater value than the globally leading commerce platforms.

However, despite the dominance of these major providers, there are still over 80.000 webshops using other frameworks. For instance, with over 15,000 webshops on PrestaShop and more than 13,000 using Magento, there remains a significant opportunity to develop plug-ins and solutions for these platforms.

Whether you're developing plug-ins or building software reliant on specific frameworks, understanding your total addressable market (TAM) is a key indicator of potential and helps determine if an investment is worthwhile. Additionally, knowing how different markets are penetrated provides insights into where to focus future sales and marketing efforts. The more data you have, the better informed your decisions will be.

If you’re interested in more data around the webshops, don’t hesitate to contact us on hello@tembi.io. We are adding more countries continuously so sign up for our newsletter to get the latest updates.

Customer stories

Customer story: Clerk.io

3
 min read

How Clerk.io used Tembi's E-commerce Intelligence to explore new markets and improve lead quality.

 

About Clerk.io

Clerk.io is a leading e-commerce personalisation platform, helping thousands of webshops optimise their customer experience through tailored product recommendations, search, and email personalisation.

The challenge

Clerk.io needed to address two main challenges:

  • Market exploration: Understanding market potential in different regions to identify high-priority growth opportunities.
  • Lead quality: Ensuring lead accuracy to reduce time spent manually qualify ing irrelevant or unfit leads


Christian, Head of Lead Generation at Clerk.io, explained: “We were looking for a solution to scan markets and get a clear understanding of their potential. At the same time, we needed to ensure the leads we pursued met specific criteria, like being transactional webshops. Our previous provider couldn’t consistently deliver on these fronts.”

The solution: Partnering with Tembi

Clerk.io turned to Tembi to tackle these challenges. With Tembi's market data & intelligence, the team gained access to:

  • Detailed market insights: Tembi helped Clerk.io identify untapped opportunities by filtering markets based on factors like product count, visitor volume, and transaction data.
  • Improved lead accuracy: Tembi’s platform allowed Clerk.io to focus on high-potential leads while significantly reducing manual qualification time through Tembi’s webshop validation software.

Christian highlighted the impact: “Tembi gave us a market feeling. For example, in Norway and Sweden, we could see the potential and decide if this was something we should double down on. The data helped us make informed decisions about where to focus our sales efforts. And 98% of the leads we identified via Tembi were qualified, allowing us to focus on high-quality opportunities without loosing time on irrelevant prospects.”

The results

1. More Accurate Leads. By leveraging Tembi's validation process and advanced filtering tools, Clerk.io increased the accuracy of its leads.Only 1% were unqualified, and another 1% didn’t match the ICP criteria.

2. Time savings. Manual qualification time was massively reduced, allowing the team to allocate resources more effectively.

3. Market viability assessments. Clerk.io used Tembi to assess markets likeNorway and Sweden, deciding where to prioritise their efforts for maximum growth potential.

“Tembi made qualifying leads less time-consuming, and the time savings alone justified the investment,” said Peter, Head of Marketing at Clerk.io.’

A seamless partnership

Beyond the technical aspects, Clerk.io found their collaboration with Tembi to be seamless and productive. Peter Tullin, CMO at Clerk concluded: “We’ve been very happy with Tembi. It was a seamless collaboration, and their local Copenhagen office made it even easier to work together.”

 

Market Intelligence

Seed investment

3
 min read

embi has secured a €3 million investment from Seed Capital to grow our market intelligence platform and expand our market reach.

The post below is a translation of a news article posted by ITWatch the 5th of December 2024 by journalist Tobias Krog Vind.

Market Intelligence Platform Secures Seed Investment: "We Believe This Will Be the Way Companies Work in the Future"

Tembi has just received a capital injection of DKK 22 million from Seed Capital. This marks only the beginning for the company, which aims to set the agenda for the future of market analysis through AI.

In a rapidly changing market, keeping up with emerging trends can be challenging, especially in a landscape with thousands of businesses and even more products. Forecasting developments adds another layer of complexity.

The Danish market intelligence platform Tembi, however, claims it can provide AI-generated insights tailored to the realities of each individual company.

Using image recognition, language models, and machine learning, Tembi's AI aggregates data from various sources and presents it as market analyses in clear graphs and actionable insights. Customers can manipulate the data and graphs as needed, customising the platform to fit their requirements.

“We enable our customers to predict market movements, helping them stay ahead of their competitors. At the same time, our services also support them in actively leveraging these insights in their strategies and execution,” says Kristian Mørk Puggaard, CEO of Tembi.

For example, Tembi's solution provides insights into trade and logistics patterns within e-commerce and retail, including which webshops and product categories are growing in a given country and which companies are experiencing the most robust growth.

“It’s crucial for a company's success to know what’s happening among competitors and customers within their product group. Our tool makes it easier—and far less resource-intensive—to stay updated,” adds the Tembi CEO.

Seizing Opportunities Now

The two-year-old market intelligence platform, which currently serves 50 customers across 14 European countries, has raised DKK 22 million from Seed Capital in its latest funding round.

According to Kristian Mørk Puggaard, the timing of the investment aligns with Tembi's rapid growth and the opportunities available, but it also requires immediate action to capitalise on them.

“To be the first to dominate this market in Europe, we need to act now. In a few years, I believe everyone will demand a platform like ours. We believe this is the way companies will operate in the future. To ensure we’re the ones delivering it, we want to accelerate our growth now,” he explains.

Why Seed Capital?

“It was clear they understand what we are building and the future we’re targeting. It’s vital for us to have partners who ask the challenging questions that push us to rethink what we might otherwise take as established truths,” says Puggaard.

He also highlights Seed Capital's network and strong reputation as decisive factors, enabling Tembi to take its next steps.

Expanding Beyond Europe

The next step for Tembi is to grow its customer base beyond Europe’s borders, which the company plans to achieve within the next two years.

“We aim to be on the radar of all leading companies, not just in Europe but on other continents as well. While we haven’t finalised the exact location, North America seems like a strong candidate,” says Puggaard.

Additionally, Tembi plans to expand its client portfolio, which is currently concentrated in logistics, trade, and real estate.

Given this trajectory, Puggaard anticipates that the company will be ready for another funding round within one to two years.

Market Intelligence

Nordic Market Intelligence report: September 2024

3
 min read

he Nordic eCommerce report dives into the eCommerce market in Sweden, Finland, Norway and Denmark. The report is free and available for download here.

What to expect inside?

Looking into data from 79.000 online retailers that sell physical goods we analysed what type of commerce platforms are popular, which payment providers are mostly used as well as delivery methods and product categories.

Interested in knowing more about our data, or are you looking to reach a specific type of webshops? Contact our sales here for a short intro.

Previous E-commerce Reports

Baltic E-Commerce Market Intelligence Report (Published January 2024)
Nordic e-commerce Market Intelligence Report (Published October 2023)

E-commerce

The most popular commerce platforms across ten European markets

3
 min read

hen starting a webshop, you have two options: build a custom site from scratch or choose a ready-to-go commerce platform to manage inventory and sell products or services online. Given that webshops have existed since the early days of the internet, there are now numerous providers catering to both entrepreneurs and established businesses.

A variety of commerce platforms power European webshops, from large international providers like Shopify and WooCommerce to smaller local specialists such as Dandomain in Denmark and Voog in Estonia. Larger platforms often offer the benefits of scale, while local providers might offer specialized solutions and compliance with regional regulations that enhance scalability.

Choosing the right platform is not just important for those building webshops, but also for the ecosystem surrounding commerce platforms. Not all plug-ins and solutions are compatible with every framework, and understanding a platform’s market penetration can be a strong indicator of its success and investment in that region.

In this article, we take a deep dive into the most widely used commerce platforms across 10 European markets, examining which solutions are the most popular. It’s likely no surprise that Shopify and WordPress’s open-source WooCommerce plugin dominate, but who are the other key players?

Looking at Switzerland, The Netherlands, Slovakia, Denmark, Finland, Sweden, Norway, Lithuania, Latvia and Estonia we’ve identified a total of 242.061 active webshops. With over 100.479 webshops, or 32%, Shopify is trailing behind WooCommerce with 9%. Looking at these 10 markets, WooCommerce is today the preferred e-commerce platform with around 129.480 webshops.

The fact that we only identified 6.682  custom-built webshops (2,1% of the dataset), shows just how powerful commerce platforms are today, where both large and small webshops can benefit from the platform's investments in technology and solutions that make it easy, and possible, to operate and grow a business online.

Before diving into the specifics of each market’s platform penetration, let’s quickly explain how we gather and maintain the quality of this data.

Gathering quality webshop data

Monitoring hundreds of thousands of webshops on an ongoing basis demands a robust validation process to maintain high-quality data. At Tembi, we automatically filter out inactive webshops, businesses in bankruptcy, and webshops not registered as official companies, and we can only to this by actually visiting the webshops and analyze their operations continuously. We’re not B2B lead list generation company per se, but our data is used by many companies to improve sales and help identify business opportunities.

Once the validation process is complete, and we’ve analyized the webshops products, our system categorizes each webshop into a product category and enriches the data with for example website traffic data and company data.

If you're interested in learning more about how our technology works, be sure to check out our article: Insights from every Webshop on the Market

Deep dive into commerce platforms in European countries

Having looked how the distribution looks over 10 European countries, let’s examine which E-Commerce platforms are popular in each country and see what insights we can uncover into regional preferences and market trends.

E-commerce platforms in Denmark

In Denmark, we can find a total of 32.720 webshops. We have identified that 13.567 webshops are built using WooCommerce, and 11.703 are built with Shopify. Just as it also shows in the picture of the ten European markets, WooCommerce and Shopify power the majority of the webshops. The remaining 24% (7.450 webshops) utilize various other providers. With 2.164 webshops, Dandomain stands as the third most used platform in Denmark, likely due to its local roots and strong integration with popular hosting services in the country.

E-Commerce Platforms in Estonia

Estonia has a total of 8.568 webshops, with WooCommerce as the clear market leader. WooCommerce is used by 5.846 webshops, representing 68% of all Estonian market. In second place, like in most markets, Shopify follows, but with only 9% of the market, totaling 739 webshops.  WooCommerce’s strong presence in Estonia gives it the highest market share in the group of the analysed countries. In third place we find the local e-commerce platform, Estonian Voog, powering 570 webshops. Voog offers native language support and is perfect for small to medium-sized companies, which could also explain why WooCommerce owns such a big portion of the market.

The remaining 23% of E-Commerces, without the ones using WooCommerce and Shopify, are built using various other providers (1.983 webshops).

E-Commerce Platforms in Finland

Finland has a total of 15.092 webshops, with WooCommerce and Shopify being the market leaders. 6.953 webshops in Finland use WooCommerce (45% of the Finnish market), while Shopify is used by 4.014 webshops, accounting for a 26% market share.

The remaining 28% (4,125 webshops) utilize various other providers. Notably, 644 webshops (5% of the market) are custom-built, highlighting a segment of businesses opting for fully tailored E-Commerce solution. With a strong tech and design culture, Finnish businesses likely leverage local expertise to create bespoke solutions cater directly to their target market. MyCashFlow, a Finnish E-Commerce Platform, is the third most used one in the country, accounting with 1.327 webshops, a 9% of the total.  

E-Commerce Platforms in Latvia

There are 4.903 webshops in Latvia. Of this number, 1.841 webshops are built with WooCommerce (37% of Latvian webshops) and 1.201 webshops are built with Shopify (24%). The other 1.861 webshops (38%) use different providers.

E-Commerce Platforms in Lithuania

Lithuania has a total of 12.077 webshops, with WooCommerce as the most popular platform, powering 6.568 stores, or 55% of the market. Shopify is the second most used (2.198 webshops) making up 18% of Lithuanian online stores. The remaining 26% (3.311 webshops) use various other providers, with PrestaShop ranking third, supporting 1.506 webshops and capturing 12% of the market. As we can see, PrestaShop ranks very closely to Shopify. We see how two Lithuanian E-Commerce platforms, such as Shopiteka and Verskis, are too the most used ones.  

E-Commerce Platforms in The Netherlands

The Netherlands have a highly developed E-Commerce market with 81.224 webshops. WooCommerce has by far most clients, powering 38,316 stores, or 46% of all online shops. Shopify follows with 21,534 webshops, accounting for 26% of the market. The remaining 27%, or 21.374 stores, are distributed across various other providers.

E-Commerce Platforms in Norway

Norway has an E-Commerce market with 13.469 webshops. WooCommerce leads the way, powering 5.346 webshops, or 39% of the market. Shopify is a close second, used by 4.931 webshops, making up 36% of the market. The remaining 24%, or 3.192 webshops, utilize various other providers. The competition between Shopify and WooCommerce is tight in Norway, with only 415 webshops more (a 3%) built with the latter. The third one is MyStore, an E-Commerce provider created in Norway.

E-Commerce Platforms in Slovakia

There are 15.429 webshops in Slovakia. WooCommerce leads the market, powering 6.399 of these webshops, accounting for 41%. Shoptet follows with 3.502 webshops, making up 22% of the market. The remaining 36%, or 5.528 webshops, are built using a variety of other providers. Slovakia’s case is specially interesting, as Shopify is not the second choice. In its place we find Shoptet, a Czech platform that offers marketplace integrations to the Central European market. This can be relevant for companies looking to increase visibility and brand recognition in the region.

E-Commerce Platforms in Sweden

Sweden's E-Commerce landscape is strong, with a total of 31.588 webshops. WooCommerce has a solid position on the market, powering 13.293 of these stores, or 39%, showcasing its popularity among Swedish businesses. Shopify isn’t far behind, with 11.354 webshops, making up 34% of the market. The other 6.941 webshops, representing 26%, use a variety of different providers. We find similar data in Norway, the competition between WooCommerce and Shopify is close, with only a 4% market share of difference (roughly 2.000 webshops).

E-Commerce Platforms in Switzerland

Switzerland is home to 26.991 webshops, with WooCommerce and Shopify leading the market. 12.168 of these webshops are built with WooCommerce (45% market share), making it the most popular E-Commerce platform in the country. Shopify follows closely, with 9.841 webshops, representing 36% of the market. The remaining 19% (4.739 webshops) are built using different providers. Of the most used platforms in Switzerland, only PepperShop is Swiss company.

Better market intelligence

The data from analyzing 242.061 webshops confirms that WooCommerce and Shopify hold a dominant position, commanding 73% of the market share. Breaking this dominance is no easy task, as it would not only require mass migration but also new solutions that offer greater value than the globally leading commerce platforms.

However, despite the dominance of these major providers, there are still over 80.000 webshops using other frameworks. For instance, with over 15,000 webshops on PrestaShop and more than 13,000 using Magento, there remains a significant opportunity to develop plug-ins and solutions for these platforms.

Whether you're developing plug-ins or building software reliant on specific frameworks, understanding your total addressable market (TAM) is a key indicator of potential and helps determine if an investment is worthwhile. Additionally, knowing how different markets are penetrated provides insights into where to focus future sales and marketing efforts. The more data you have, the better informed your decisions will be.

If you’re interested in more data around the webshops, don’t hesitate to contact us on hello@tembi.io. We are adding more countries continuously so sign up for our newsletter to get the latest updates.