Posts by 

Michael Bugaj

E-commerce

Similarweb and Tembi

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.

Market Intelligence

A look into Swedish Commercial Real Estate

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.

Access the full report here.

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.

Book a demo
E-commerce

Solving the challenge of categorising webshops by products

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.)

How we’ve created a world-class categorisation system using analytics

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.

E-commerce

News! Tembi now available for Software Providers and Digital Agencies

ind the webshops you’ve always been looking for - Small or large, local or international, on the rise or in need of a strategic nudge.

At Tembi we look beyond general company and webshop data, and visit each webshop to better understand which type products are being sold, the technological platforms in use, and for example, what software's are powering the webshops communications, performance and operations.  

Our machines do the equivalent job of thousands and thousands of people daily researching the web, collecting information, gathering data and putting it together in one place. Webshop after webshop.

“Securing the right targets at the right moment isn’t just about closing deals—it’s about gaining a strategic advantage. With Tembi’s latest market intelligence innovation for Software Providers and Digital Agencies, whether your focus is business development, sales, or marketing, you’ll gain an excellent perspective on market dynamics.”
Michael Bugaj, CMO at Tembi

Access exclusive data with precision

We're not just about scratching the surface. Our goal is to deeply understand each webshop, connecting them to their parent companies to unveil their financials, interconnected webshops, and operational domains.

By integrating information from multiple places into a singular, comprehensive view, we enable sales and business development teams to better segment the market, and see where new opportunities are developing, and link that to individual companies, refining lead list and decreasing disqualified leads with up to 80%.

Identify relevant webshops to your business

When we initially ask potential clients how many webshops they believe there is in their market the typical answer is around 1/3 of the market, meaning most of the market goes unnoticed.

Who are the emerging stars? The niche players about to grow? With Tembi, these questions find their answers. Our platform allows you to input your ideal customer profile, creating alerts for when potential leads meet your criteria.

Benefits of using our Tembi’s e-commerce solution

Besides significantly simplifying the process of gathering data, here are five immediate benefits:

1. Extensive filtering options to match your ICP

Filter on location, products, markets, financials, ownership, and +50 other possibilities to find exactly the cohort that matches your ICP and/or campaign.

2. Rapidly grow your pipeline

With your ICP in place, see immediately the whole lead list on your market, and set up notification for automated new matches.

3. More information on your ideal targets

Understand you targets business and its situation better. Get clarity around their product offering and development and how you can help.

4. Spend your time right

Up to 80% less disqualified leads frees more time to be able to focus on closing the deals.

5. Understand your market

We monitor the market weekly and visualise trends and movements so that you can better understand how the market develops and identify new opportunities.

Interested in knowing more about our e-commerce solution? Download the product presentation or book a meeting for a demo.

About Tembi

Tembi is a data and analytics company, providing a software solution designed to deliver market information and insights that give our customers a better understanding of their market and how it develops. Our Market Intelligence Platform gathers and connects data from multiple industries to give a more precise and correct overview the market and its companies.

Market Intelligence

Baltic e-commerce Market Intelligence Report

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!

Market Intelligence

Tembi Delivery Index

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.

Market Intelligence

Danish Real Estate Market Intelligence Report

urious about the Danish Real Estate market and how it moved? Our new Market Intelligence Report provides a comprehensive analysis of the Danish commercial real estate market. Key highlights include:

  1. Extensive Relocation Data (2023): Insights into the significant movement within the Danish corporate landscape, focusing on company relocations.
  2. Predictions for 2024: Using AI analytics, the report offers predictions on market movements and company relocations for the upcoming year.
  3. Detailed Market Insights:  Valuable insights on relocation patterns, the type of premises companies are moving into (leasing vs. owning), and how often companies relocate based on their size.
  4. Regional Analysis:  Breakdown of relocation trends across different regions and municipalities in Denmark.


This report is a valuable resource for anyone interested in the dynamics of the Danish commercial real estate market, providing data-driven insights and predictions to inform strategic decisions.

Access a free version of the report here.

Technology

Going from Hindsight to Foresight 🚀 Understanding the analytic value escalator and Prescriptive Analytics

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.

🔍 Descriptive Analytics: "What happened?"

This is our starting point, where we use historical data to understand past performance.

🔎 Diagnostic Analytics: "Why did it happen?"

Here, we dig deeper, using the data to uncover the root causes of past events.

📈 Predictive Analytics: "What will happen?"

Leveraging statistical models and machine learning, we forecast future trends and behaviors.

🎯 Prescriptive Analytics: "How can we make it happen?"

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.