Not-Invented-Here Syndrome

Knowing which webshops to focus on helps your business succeed. That’s why we've launched Tembi’s Size indication, a simple way to quickly understand how active and big (or small) any webshop is in the market compared to the largest online retailers.

What is the Size indication?

Tembi’s Size indications scores webshops from 1 to 100 points, dividing them into clear groups:

• Small: 0-24 points

• Medium: 25-49 points

• Large: 50-74 points

• Very Large: 75-100 points

This makes it easy to compare webshops and see where they stand compared to others.

How does it work?

The Size indication uses hundreds of data points per webshop to decide each webshop’s score, including:

• Size and variety of product offerings

• Investment in technology and infrastructure

• Amount of website traffic

• Types of delivery methods provided

These factors, and many more, provide a clear picture of how active and large a webshop is. Each webshop’s score is clearly explained, showing both positive and negative factors.  

Why the Size indication is useful

The Size indication makes market analysis simpler. You can quickly assess market size and find webshops that fit your ICP. When looking at thousands of prospects, Size indication allows you to sort all webshops, and see their size in relation to each other.

Combine Size indication with Growth Predictions

Tembi’s Size indication works hand-in-hand with our Growth Predictions feature. By combining these insights, you get a complete view of the market opportunity - clearly identifying which webshops are not only large and active but also likely to grow. This powerful combination helps you pinpoint the best opportunities for strategic action and growth.

Want to get started?

Log in to Tembi and check out the Size indication now. All Tembi clients have access to our Growth predictions and Size indication for free during July.

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In business, knowledge is power, but foresight is transformational. Until now, most market intelligence relies on delivered reactive insights, offering clarity on the past or present but limited visibility into the future. Today, Tembi changes that by launching a groundbreaking predictive feature for e-commerce: Growth Predictions.

Why predictions matter

Understanding past performance is essential, but knowing what's coming next is where you truly gain a competitive advantage. With Growth Predictions, Tembi analyses hundreds of critical factors across hundreds of thousands of webshops, giving you a clear view of each retailer’s potential growth over the next 3 to 6 months.

How does it work?

Our unique predictive model evaluates comprehensive data points, including:

• Financial trends

• Employee growth and changes

• Product portfolio developments

• Web traffic insights (powered by SimilarWeb)

• Technological investments

• Infrastructure reliability

• Delivery partnerships and methods

• Category-specific trends

At the heart of this model is our proprietary AI-powered data collection methodology. For several years, we've meticulously collected, structured, and continuously updated vast datasets. Our advanced machine-learning algorithms use this rich historical data to identify patterns, learn from past behaviours, and generate precise, data-backed predictions. This ensures that our Growth Predictions aren’t guesses - they're calculated insights driven by robust AI techniques.

We translate these complex signals into straightforward, actionable insights, predicting whether a webshop will experience high growth, stability, or potential decline.

Transparent insights for smarter decisions

Growth Predictions don't just give you a simple score. They explain precisely why we anticipate certain growth patterns. For example:

• Positive growth signals: Stable infrastructure, Product portfolio expansion, added delivery methods or partners.

• Negative growth signals: Limited product portfolio expansion, insufficient technological investments.

This transparency helps you quickly understand the underlying strengths or vulnerabilities of any webshop.

Transform your commercial strategies

If you’re responsible for partnerships, sales, or logistics, Growth Predictions become your secret weapon. Prioritise your efforts, target the right segments and customers, optimise your resources, and proactively manage your commercial relationships by focusing on webshops that have a higher likeability to succeed.  

First of its kind

No other e-commerce intelligence tool provides predictive growth insights at this depth. Using our unique dataset of retailers and product portfolios, we provide a comprehensive mapping of the e-commerce industry, helping companies plan strategically.

We update our dataset bi-weekly, ensuring teams can track prospects, provide insights and get a competitive advantage.  

Interested in knowing more, book a demo with one of our experts.

Growth predictions are available for free as an early release during July for all our clients.

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The retail industry is in the midst of profound transformation driven by two interconnected forces: the convergence of retail and e-commerce into a hybrid landscape, and the rapid integration of Artificial Intelligence (AI). These forces aren't just altering shopping habits - they're reshaping the entire retail value chain from manufacturing to fulfilment. McKinsey identifies these as key economic game-changers (putting aside broader geopolitical factors).

Two forces reshaping retail

1. The blended future of e-commerce and retail

E-commerce has evolved beyond a simple digital channel into three overlapping segments:

• Manufacturers going Direct-to-Consumer (DTC): Brands like Nike, Zara, and Dyson build direct customer relationships through digital storefronts and direct shipments.

• Pure-Play digital platforms: Born-digital platforms like Zalando and ASOS innovate with personalisation and logistics, with some even branching into physical flagship stores.

• Traditional retailers adopting digital: Giants like IKEA and Walmart are integrating physical and digital experiences seamlessly.

These segments are merging into a highly competitive ecosystem where agility and market intelligence are essential. This blending doesn't simplify competition - it intensifies it, demanding constant vigilance and adaptability.

2. AI-driven retail intelligence

AI has moved from futuristic concept to operational necessity. Retailers leverage AI for personalised recommendations, dynamic pricing, predictive inventory management, and customer service automation, enabling smarter, faster, and more profitable operations.

Additionally, the expansion of cloud computing and the explosion of available data provide new opportunities to understand market dynamics in real-time. Historically, analysing every shelf in Europe was unthinkable; today, online data combined with AI makes large-scale, real-time market analysis entirely feasible.

A strategic framework for AI-enabled retail

Staying ahead requires a structured approach. Recently, Shish Shridhar from our partner Microsoft shared a strategic framework leveraging real-time data, AI, and automation, highlighting essential levers to drive growth.

Customer-facing levers

Place – Sales channels: physical, digital, hybrid
Product – Assortment depth, availability
Value – Pricing strategy, perceived customer value
People – Customer service, store experience
Communication – Marketing, promotions, loyalty programmes

Operational levers ("The Triangle")

Systems – Technology infrastructure, analytics, automation
Logistics – Efficient supply chain, fulfilment methods, delivery
Suppliers – Vendor management, sourcing and COGS

How market intelligence creates a competitive advantage

At Tembi, we equip retailers and brands with large-scale market analytics derived from real-time data. We continuously track over 600,000 online retailers and 300 million products across Europe - among the largest datasets in the industry. By connecting this data with location specifics, company details, and AI-powered analytics, commercial teams gain clarity and confidence in decision-making, eliminating guesswork when it comes to understanding what drives growth.

As I see it, by unifying data across digital and physical touch points, market intelligence at scale enables smarter decisions in Product, Value, and Systems - helping businesses thrive in a hybrid, AI-first retail world.

Place

• Based on the product categories that you excel in - which markets are then optimal, and in which geographies would it be optimal to promote and sell your products.
• If you have or plan to set up physical stores how are they threatened and compared to online retailers, and how is the specific area you think about investing in evolving. This will show whether you can expect optimal levels for sales per store and store traffic.

Product

• Predict which product categories and brands to invest in, when you decide where to play - which product segments are you in with which brand and pricing strategies to drive market share and inventory turnover and hence sales growth.
• Understand the competition in the product categories and brands you are in and the strengths and strategies of the other players in the market.
Improve out-of stock-rate by finding out when products are sold over the year and if that differs in different geographies, and thereby make sure that availability is secured.

Value

• Understand the current (or seasonality-defined) pricing in the market to increase gross margin, right-in-time markdowns, and possibility for price skimming but get an actual X-ray about the real price development in the market.

Logistics

• When being present in the market, or especially entering a new one, you need to know how to make it successful. One of the important things to understand delivery market standards in different markets, e.g. OOH, home delivery, free shipping thresholds, delivery time etc. Some D2C try to negotiate a pan-European delivery contract without factoring ion the different market dynamics, or simply enter with the wrong expectations. This quickly becomes very expensive - e.g. if the customers are used to home deliveries and you go in the market wth parcel boxes, you would need to wait for that to be changed. Hence, very important to understand if you model fits to assure fulfilment accuracy.

Intelligence as the new retail imperative

Success in modern retail isn’t about choosing between physical and digital - it’s about blending them intelligently. In the era defined by AI and hybrid commerce, tools like Tembi provide retailers the crucial insights required to navigate complexity.

Whether you’re a DTC manufacturer, a digital-first retailer expanding your reach, or a traditional retailer enhancing your omnichannel strategy, winning demands strategic clarity grounded in data and real-time market intelligence.

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How a Last-Mile delivery commercial team used Tembi to reach online retailers when they were most likely to engage.

The context

A last mile delivery provider was looking to improve how and when they approached new merchant prospects. While they had a solid understanding of who they wanted to work with, outreach often happened too early (before the merchant was ready to switch) or too late (after a competitor had locked in a contract).

Without visibility into what was changing in the merchant’s checkout, reps had to rely on cold outreach, hoping to catch a merchant at the right moment. They needed a way to:

• Identify merchants that were actively reviewing or switching delivery providers
• Spot meaningful signals, like new product categories or delivery method updates
• Align outreach timing with actual changes in the merchant’s delivery setup

What they did with Tembi

Using Tembi Checkout Intelligence, the team started monitoring live changes in merchant checkout configurations. Tembi scrapers simulate checkout flows on thousands of webshops and detect:

• When a merchant adds or removes a delivery provider
• When delivery pricing or speed options are updated
• When a new product category is added (suggesting operational changes)
• When delivery method names or descriptions shift (e.g. switching from “standard” to “express”)

The team set up biweekly alerts on merchants that matched their ICP and showed recent changes in their delivery stack. This created a dynamic feed of prospects likely to be re-evaluating logistics partners, so an ideal timing for outreach.

The result

The team didn’t need to chase every webshop in a market. Instead, they focused on high-potential accounts showing signs of change. Over a six-week period, they:

• Reached out to 37 merchants flagged by stack change alerts
• Booked 22 first meetings, with 18 confirming they were actively reviewing delivery providers
• Landed 8 new partnerships directly tied to alerts showing recent removals of a competing provider

Timing their approach based on real signals helped them avoid wasted effort and start conversations when interest was highest.

Why it worked

✅ Actionable timing signals was more effective than cold outreach
✅ Changes tracked automatically from actual checkout flows
✅ Focus on merchants in motion who are more likely to convert
✅ Fewer dead ends - reps only acted when there was a reason to reach out

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A last mile delivery provider operating across several European countries needed to give its regional sales & partnerships team a clearer picture of how competing providers were positioned locally. Without reliable data, the team depended on anecdotal feedback from merchants or patchy CRM notes about which providers were in use. This made it difficult to:

• Prepare for calls with accurate competitor insight
• Spot new merchant opportunities based on delivery gaps
• Build region-specific messaging around speed, tracking, or price

They weren’t seeking a broad market expansion strategy, just precise, local visibility to sharpen commercial conversations.
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What was done with Tembi

Using Tembi Checkout Intelligence, the team pulled data on hundreds of webshops in their target region. Tembi’s technology visits every retailer with an active webshop and creates visibility into checkout flows and extracts structured data on:

• Which delivery providers are actually offered
• Delivery speeds and  prices
• Labels and methods (e.g. express, standard, tracked) in use
• Recent changes - such as a provider being added or removed
• Images of how delivery options were presented

The data, updated every two weeks, enabled quick filtering by platform (e.g. Shopify, WooCommerce), product category, and country/area. Local sales teams gained a trusted, up-to-date view of the real delivery landscape.

The result

With provider usage clearly mapped for their target region, the team could:

• Enter sales calls with confidence, knowing which competitor was in place
• Spot merchants lacking tracked or fast delivery options
• Tailor outreach to emphasise service gaps (e.g. slow delivery, high fees)
• Build target lists of merchants using weaker providers for displacement opportunities

No major strategic shift - just sharper conversations, better timing, and stronger commercial positioning at the local level. With a 20% increase in conversion.

Why it worked

• Data based on real checkout flows - not assumptions or outdated lists
• Biweekly updates kept teams working with fresh information
• Easy filtering by region and platform enabled targeted, local action
• Directly supported pre-call research, personalised outreach, and competitive mapping

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Interested in exploring how Checkout Data and Webshop Monitoring can help you grow your sales? Book a call with one of our Last-mile data experts. Book a demo

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Today we’re rolling out Product Insights – a new tool that instantly breaks down the product catalogue of almost any webshop. By continuously monitoring 600,000 webshops and over 300 million products, Product Insights helps users find answers to questions that used to take days of manual work.

Understanding a retailer's product portfolio has always been a challenge – especially at scale. Tembi’s Product Insights structures each webshop’s catalogue based on Google’s product taxonomy (with over 2,000 sub-categories). Select a category, explore which sub-categories are sold, and get a clear view of the retailer’s product strategy.

Product Insights also lets you track trends over time. What categories are growing? Which brands are expanding? What product types are being phased out? With bi-weekly updates, your market understanding becomes sharper, faster, and far more granular than ever before.

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Track product portfolio development

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See exactly which brands a webshop sells, the total number of SKUs, and how they’re distributed across product categories. Our time-series view lets you pinpoint when a retailer expands or trims its range – whether that means adding 50 new kitchen appliances in March or dropping three footwear brands in May. Drill down by category or brand to understand growth spurts, assortment gaps, and strategic shifts at a glance.

‍Product weight and dimensions

Visualise a webshop’s entire catalogue by weight and dimensions in one interactive chart. The horizontal axis splits product prices into six bands; the vertical axis divides weights into six ranges. Each bubble’s size shows how many items fall into that combined bracket.

Track market trends

Go beyond individual retailers and tap into broader market movements. With Product Insights, you can zoom out and analyse how categories, brands, and product types are evolving across the entire e-commerce landscape in Europe (18 markets).

See which product categories are gaining momentum, what brands are expanding their reach, and how average product sizes or prices are shifting. Filter by country, industry or platform to spot changes in consumer demand, pricing trends, or assortment strategies.

Whether you're a brand manager trying to spot gaps, a logistics provider tracking shipping implications, or a buyer evaluating sourcing decisions – Product Insights turns market noise into clear, structured signals.

Discover and benchmark similar webshops

Instantly compare any retailer with others and uncover new prospects. Tembi’s Similar Webshops feature identifies other webshops with matching assortment structures, traffic levels, and category focus.

It’s a fast way to benchmark a client against competitors – or to find high-potential leads you might otherwise miss. Want to compare delivery providers across similar stores? Or find out how two apparel retailers differ in average price point and category spread? Just click “Full comparison” and dive into the details.

You can also scan for rising players in your segment. Use Similar Webshops to uncover up-and-coming stores with fast-growing assortments – perfect for partnership, outreach, or competitive monitoring.

Start exploring tomorrow

Product Insights is available now on Tembi. Whether you're tracking competitors, mapping out market shifts or sourcing prospects – the data you need is finally structured, searchable, and updated every two weeks.

Want to know more? Book a demo today!

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