Know your customers better than they know themselves.
Your order history already knows who is about to leave, who is worth the most, and what to recommend next. Six modules make that knowledge concrete: segmentation, churn prediction, lifetime value, recommendations and cross-sell, campaign impact and lead scoring. All built on your own data.
Try it yourself · fully interactive demo with fictional data
Six modules that turn customer data into decisions.
Each module is a self-contained building block that connects to your webshop, your CRM or your accounting system. Start with one, expand when it makes sense.
Segmentation
RFM analysis (recency, frequency, monetary) combined with clustering splits your customers into groups that genuinely behave differently. The input is orders and customer data from your webshop or CRM. The output is segments exported straight into your email tool, so VIPs, dormant customers and first-time buyers each get their own treatment.
Churn prediction
A gradient boosting model learns the patterns of the customers you have already lost and scores every active customer on churn risk. It uses purchase frequency, time since the last order and engagement signals. You get a prioritised list of customers in the danger zone while there is still time to act, plus feature importance that shows why.
Lifetime value
The CLV model estimates what each customer is worth over the next 12-24 months, typically using BG/NBD and gamma-gamma models on transaction data. That puts a concrete ceiling on what a new member of each segment may cost in advertising, and shows where your service effort pays off best.
Recommendations & cross-sell
Which products are bought together, and what should each customer see next? The engine combines apriori rules from basket analysis with collaborative filtering on purchase history. The result is "frequently bought together" blocks on product pages, personal recommendations in newsletters and a larger average basket.
Campaign impact
Uplift measurement against control groups shows what your campaigns actually move, stripped of seasonality and random noise. The input is campaign history and sales data. You see which campaigns pay for themselves, and which merely hand a discount to customers who would have bought anyway.
Lead scoring
Every lead is scored on its probability of becoming a customer, trained on your historical pipeline: source, behaviour, company size and timing. Sales gets a sorted list in the CRM every morning, so time is spent on the leads that actually convert, rather than on gut feeling.
Want to see all 24 modules in one place? See the full overview.
From first call to finished module.
Spot
A 30-minute video call. We find the customer modules that move the most for you, and you get a written report with impact estimates.
Prototype
A working demo on your own customer data, built in 1-4 hours. You see the segments and models working before you decide anything.
Build
A production-ready module in your dashboard, delivered in 1-4 weeks. Full documentation, 30-day guarantee, no lock-in.
What could it mean in real money? Try the calculator · or see all solutions.
Customer intelligence for small and medium-sized businesses
Most SMBs already sit on the data it takes: orders, customers, emails and campaign history in Shopify, WooCommerce, e-conomic or a CRM. The problem is rarely a lack of data, but that it lies scattered and unused while decisions about marketing and service are made on instinct. Customer intelligence turns that around: letting the history point to which customers are about to disappear, which are worth the most, and what each of them should be offered next.
The difference between this and a classic BI tool is that the models predict instead of merely describing. A churn model does not tell you how many customers you lost last quarter; it tells you who you are losing right now. A CLV model does not tell you what customers have bought, but what they are likely to buy. That is the difference that makes the numbers actionable in everyday work.
The modules are built on your own data and handed over with full ownership: the code, the models and the training data are yours. You need no data scientists on staff, no enterprise licence and no big project to get started. One module, a fixed price agreed in advance, and a free prototype before you decide.
See your own customers through the model's eyes.
Get a free demo built on your own data. You see the result before you pay anything.