.png)
Act before the market
n the ever-evolving landscape of e-commerce, the race to secure customers and meet their delivery expectations has never been more intense. Last-mile delivery providers are constantly seeking new e-commerce clients, but what if I told you that there's a critical factor many overlook? It's not just about acquiring new clients; it's about optimising your position in their checkout process. Here's why:
At Tembi, we understand the significance of where a delivery provider stands in the checkout process. Did you know that up to 60% of final package orders go to the top-ranking delivery provider? This means that by being ranked number 1 instead of 2, 3, or 4 at your clients, you could double or even triple the number of orders from a client.
Interestingly, but not surprisingly, our data shows that the top-ranking delivery provider is the cheapest option in up to 80% of cases.
End-user delivery fees depend on the independent deal between last-mile providers and webshops. Other than lowering the delivery price paid by the e-commerce company, there are several ways to affect this.
Progressive discounts based on order volume, collaborative logistic offerings, reliance on service, and related solutions are all options that can help e-commerce companies offer your last-mile delivery service as the cheaper option for the end user.
However, it's about more than just being the cheapest option. Factors such as delivery time, delivery method, sustainability options, and collaboration with the delivery company also play significant roles. One or more of these are always present when the cheapest option differs from the top-ranked delivery option.
Consumers are increasingly conscious of environmental impact and delivery speed, making these factors crucial in their decision-making process. Therefore, they are also weighed in terms of the webshop owner's priorities and systems.
Losing your top ranking can be disastrous, but it's often discovered too late. Sometimes, you only realise this at the end of a quarter when financial results reflect the drop in orders. It's crucial to act swiftly on changes at your clients.
The Tembi Market Intelligence Solution for e-commerce gives you updated insights into your market's webshops, including delivery providers, checkout rankings, export markets, technology use, product categories, and much more.
This not only enables you to identify new ideal client profiles but also to quickly react to changes in your existing clients – like when you lose or win a top 1 position.
Many of our clients establish a business case for using our market intelligence solution for e-commerce based on new client acquisition alone. However, the value of working strategically and tactically to monitor and react to changes in checkout positions at existing clients often significantly exceeds the value of client acquisitions alone.
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!
Curious to learn more? Eager to get started?
Contact Tembi for a commitment-free discussion about our solutions and services to help you optimise your revenue from your current and future e-commerce clients. With Tembi's market intelligence, you can stay ahead of the competition and secure your position at the top of the checkout page.
In the fast-paced world of e-commerce, every advantage counts. By focusing on client acquisition and optimising your checkout positioning, you can ensure your last-mile delivery business thrives in today's competitive market.
Click here to schedule a call today.
ccess website traffic data inside Tembi.
We are happy to share that we’ve entered into a data partnership with Similarweb where we display monthly website data traffic inside our Market IntelligencePlatform.
Using Tembi, you can now use the data from Similarweb to filter your search based on traffic volumes, see historical data on selected webshops and be able find the growing webshops within different product categories.
For access or inquires, please contact our e-commerce responsible Peter.
ast month we published our commercial relocation predictions for 2024 in Denmark, and today, we're publishing our Market Intelligence report for Swedish Commercial Real Estate.
Our data science and econometrics team looked through Swedish data from the last six months together with our predictions models to see which companies in Sweden scored a high moving probability. Looking at companies with minimum five employees, we predict that 4698 companies and production units will change address next year.
Inside the report you'll find, besides relocation predictions, relocation data from the last six months, which industries saw the most movement as well as moving velocity - how many companies have relocated in the three biggest areas in Sweden during the last three years.
After reading the report, If you're interested in getting a sample of which companies will relocate next year in Sweden, book a demo, and we will prepare data for you.
ead list generators is a red ocean. Thousands of companies offer multiple ways to filter company or technology data to narrow down a segment of potential clients.
The challenge: Precision is quite poor as data is not contextualised.
Customer problem: Lead list is very inaccurate, leading to many disqualified leads and lost of time. (And irritation.)
Our machines have been learned and optimised over the course of years to automatically categorise webshops based on product category. We started with 16 categories two years ago, and today we have 38 product categories (i.e. Shoes, Fashion, Beauty, Car parts, Beverages, etc.).
This is how we do it, and this is why our clients see a reduction of disqualified leads with over 80% after switching to Tembi. (If time is money, then an 80% reduction is quite a lot of money.)
Web Scraping
We’ve built custom web scraping tools that automate the collection of data from each webshop. We run hundreds of different scrapers to ensure we can gather the right data.
Data Cleaning
We process the scraped data to remove irrelevant information, correct errors, and prepare it for analysis.
Natural Language Processing (NLP)
We use NLP techniques to analyse the text data from webshops and product descriptions and names. Which helps us understand the context and categorising products based on their characteristics.
Machine Learning (ML) Classification
We've trained a machine learning model on a dataset where the product types are already known. This model is used to classify the products in webshops into predefined categories.
Manual Review and Feedback Loop
We constantly review the process to ensure accuracy and continually improve the ML model through a feedback loop.
And this is why when you look for a website that sells clothes on Tembi, you will only find webshops that sell clothes.
To date we have validated over 1 million webshops around Europe, and update our data several times per month to ensure a very high quality that help sales and marketing teams find the webshops that match their ICP.
Interested in knowing more about our e-commerce solution and how we categorise webshops? Download the product presentation or book a meeting for a demo.
s the Swedish real estate market continues to evolve, new trends are emerging, particularly within the commercial sector. Our latest Market Intelligence Report offers an in-depth look into these shifts, providing deep insights and predictions for 2024that could help the industry better understand the market. And where to look for opportunities.
The past six months we have seen a significant activity within the Swedish commercial real estate scene. Over 3,005 companies, each with more than five employees, have relocated, showcasing a trend that follows previous years patterns. Notably, businesses ranging from 5 to 9 employees formed the majority of these moves, highlighting a high activity within this segment.
The Predictive pulse of 2024
Looking ahead, our analytical models have identified a high relocation indicator for 4,698 companies having more than five employees. This indication, drawn from AI models and extensive market data, suggests an active year with a lot of potential. Interestingly, the bulk of this movement is expected from companies with 10 to 49 employees, pointing to a important reshuffling in the commercial real estate space.
Regional Revelations
The report sheds light on the geographical nuances of these relocations. While the Stockholm region has traditionally been a hub of activity, the forthcoming year places a spotlight on Gothenburg, anticipating a higher volume of larger entities on the move. This regional redistribution of commercial real estate activity underscores the diverse opportunities unfolding across Sweden.
In light of that, we also see that companies and production units with more than 20employees in Stockholm tend to move more often than in other parts of the country. 33% of companies in Stockholm changed address during the last three years, while the same number in Gothenburg is 27%.
The Industries on the Move
Diving deeper, certain industries emerge as more mobile than others, including sectors like insurance, information services, and staffing solutions.
Why This Matters
For businesses and investors, understanding these patterns is crucial. The shifting sands of the commercial real estate market offer both challenges and opportunities. For investors, it's a chance to anticipate demand in growing areas and sectors. For businesses, the insights provide a roadmap for strategic decisions about where to plant their flags in a competitive landscape.
Access the full report by clicking on the picture below
he e-commerce sector in the Baltic region has seen consistent growth throughout the last ten years, opening up a number of opportunities for investment. Estonia and Latvia, in particular, stand out as some of the most rapidly expanding online retail markets within the Central and Eastern Europe (CEE) area.
Our first Market Intelligence report for the e-commerce Market in the Baltics looks into the foundation of the Industry and its suppliers
Find data & insights around:
🛍️ Number of Webshops in Estonia, Latvia and Lithuania.
📊 Webshop product category distribution per country
⚖️ Market specialisation
📦 Delivery providers, prices and methods
🖥️ Technology platforms that power the webshops
...and much more.
Access the full report for free by clicking on the image below!
ogether with Andre Veskimeister and Parcel Locker Central we've published the Tembi Delivery Index - a monthly index that tracks the average price that e-commerce businesses charge private customers for delivery.
The index is a useful tool for logistics companies, e-commerce retailers, and consumers to understand the delivery landscape's pricing dynamics over the three most common delivery methods: Home delivery, Parcel locker and PUDO (Pick Up Drop Off).
The Tembi Delivery Index covers today Denmark, Norway, Sweden, Finland, Estonia, Latvia, and Lithuania. More markets will added during 2024.
All the data is drawn from Tembi’s Market Intelligence Platform from a sample of over 100.000 webshops by picking a random product outside the free delivery range and analysing the average delivery prices & delivery methods.
ata analytics has become the cornerstone of strategic business decision-making. But what is the difference between diagnostic and predictive analytics? This visual and simple guide represents the evolutionary journey of analytics, from basic understanding to advanced prediction and optimisation.
This is our starting point, where we use historical data to understand past performance.
Here, we dig deeper, using the data to uncover the root causes of past events.
Leveraging statistical models and machine learning, we forecast future trends and behaviors.
This is the pinnacle of analytics maturity, where we not only predict the future but also provide actionable recommendations to shape desired outcomes.
As we move up the ladder from hindsight through insight and towards foresight, the difficulty increases, as well as the data requirement - but it significantly amplifies the value and optimisation capacity of our decision-making processes.
s a real estate professional, you know that timing and information are everything. Identifying which businesses are planning to relocate mean the difference between closing a deal and missing out.
But what if you could predict these moves before they happen?
At Tembi we have developed a solution that gives real estate professional market foresight, and a real competitive edge establishing early client relationships. Our advanced artificial intelligence platform provides you with the ability to anticipate company relocations, transforming the way you secure leads and grow your business.
Traditionally, figuring out which companies are planning to move offices has been a matter of luck or extensive networking and marketing campaigns based on limited data. By the time, a company is ready to look for a new location, or inverse a property hits the market, it is already a race against dozens of other real estate professionals who are also in the know.
At Tembi, we have leveraged artificial intelligence to change the game. Our Real Estate Market Intelligence solution is not just another database – it is a predictive tool that can forecast whether a company will move in the next 6 to 12 months, often before the company itself has identified the need to relocate.
Our proprietary machine learning models analyse vast amounts of data points, from building data and economic trends to company growth patterns, to provide a prediction score on companies likely to move. This insight gives you a significant head start to prepare a proposal, reach out, build a relationship, and maybe even secure a deal before others even know there is an opportunity.
And if you own properties, our Moving Prediction Score is a great tool to health check your current tenants and where they “stand.”
Over time, our machine learning models have become very precise. When we estimate that a company will grow, we are right nine out of ten times , giving it a 90% precision rate. And most companies that will move, we capture.
But we do not just stop at predictions. Tembi provides you with access to comprehensive company data, including size, financial health, and industry segmentation. This information allows you to tailor your approach to each potential client's unique needs and preferences.
With Tembi’s solution, you are not just getting leads; you are getting a consultant's perspective. Understanding the dynamics of the real estate market is crucial, and we give you the knowledge and insights to navigate it effectively. This means you can position yourself strategically in the market and close deals faster, giving you that competitive edge.
Currently, Tembi's Real Estate Market Intelligence is available to real estate professionals operating in Denmark and Sweden, with plans to expand to other markets soon.
Are you interested in getting more information. Please fill out the form below and we will get back to you as soon as possible.
f you knew which company would move within the next six, or twelve months, what would you do with that prediction?
During the last month I have talked with many Real Estate professionals within different sectors in the real estate industry, asking them the question how an understanding of companies moving intentions would change their work and approach. As expected, they all had different answers and saw different possibilities.
Below I have paraphrased three answers that stood out during my conversations.
“As a Real Estate Agent, I would analyze our commercial rental pipeline to identify nearby businesses in the right segment with a high probability of moving. Then reach out to them. But I would also use that knowledge when I try to close potential new clients.”
“Check our tenant status and see if anyone is about to move. The dialogue with our tenants is the most important thing, and this insight will allow me to reach out to them proactively, talk about their journey, and understand if their needs will change soon. So, we can make sure that they will be relocated and stay as tenants with us.”
“Of course, twelve months is a short time frame for us. However, previously, 12 months is far too short for us, but we are experiencing more frequently than before that large companies are not as inclined to commit to leases 24-36 months in advance. In addition to being very interested in understanding how an area is developing and where there will be a need for future offices, we would also use that knowledge to ensure we find tenants for our upcoming projects.”
Predicting if a company will move or not is not science fiction anymore. By continuously collecting and gathering millions of data points, we have at Tembi developed a Moving Prediction Score (MPS) that can predict with over 90% precision if a company will move within the next twelve months. That is about 20 times as good as a random guess.
Using artificial intelligence (AI) and gathering unique data, we can predict how a company will grow, how the number of employees will change and when they would need to move to new offices, as well as understand where they might want to move. Calculating the MPS, we do not only look at historical data, we combine different machine learning models and use this across industries and geographies. Our models are trained on 80 % of the company locations, and we test the models the remaining 20 % to see if we are right or wrong. And that is how we can reach a validated precision of 90%.
If you are interested in hearing more about how our Moving Prediction Score works, or how it can be applied to your business, do not hesitate to reach out to us.
