Every client call needs a next test, and today that costs an analyst, a spreadsheet, and a week. Affinsy reads the client’s order history and hands you the ranked test list, with the audience for each one, before the call.
The client asks what to test next, and the answer is in a year of their orders nobody has time to read: which products pull others along, which customers are quietly leaving, who is due to reorder. Every run reads all of it and files the result. When the client asks what changed since last quarter, that quarter’s run is still there, exactly as it was: open it next to the new one or drop it in the deck.
One bridge from captured revenue to what's still on the table: the share flowing through co-purchase patterns, cross-sell winnable right now, and replenishment coming due. Every dollar of upside is sized on customers you can actually reach.
Open on the live report
The mined rules, one row each: lift, confidence, support, the revenue flowing through the pair, the AOV lift when the add-on lands, and a week-by-week trend. Substitutes and out-of-stock traps are filtered out by default, so the list is what a client can actually act on.
Open on the live report
Every run also grades the customer base with RFM: Champions to Hibernating, revenue mapped per segment, and a ranked share table ready for the deck. Win-back and VIP audiences export exactly like basket audiences.
Customers grouped by the month of their first order and tracked month by month: the share still ordering, what each cohort is worth after six months, and where they sit in the segments today. Compared at the same age, so a young cohort never reads as a bad one, and the second-order window falls out of the data instead of a guess.
Open a product and see what customers buy before it, with it, and after it, drawn as a lineage: solid edges for the co-purchases, dashed ones for the orders that came earlier or later. Step deeper, raise the lift floor, click a product to move the view there. The fastest way to answer what a hero product is actually pulling into the basket.
Open on the live report
Every product customers buy on a cycle, with the typical gap between orders, how tightly buyers keep to it, and how many came back. Buyers are split into the ones approaching their window, the ones inside it, and the ones past it, so a client's next reorder campaign is a matter of ticking rows and exporting the audience.
Open on the live reportThe importer recognises the order exports of the major platforms and maps their columns for you. Anything else works as a CSV with an order ID, a date, and a product per row; customer, price, and quantity unlock the full reports.
Every workspace comes with a Merchandising Engineer, an assistant that knows the client’s orders, products and analyses. It answers from the data, starts a new analysis when the question needs one, and builds the customer lists to act on.
Every number comes from the workspace's own orders and completed analyses. If something isn't in the data, it says so. It doesn't guess.
Ask a question that needs new work and it starts the Market Basket or RFM run itself, files it into the right space, and links the result when it's ready.
Turn a cross-sell rule into the exact customers to contact — sized, filtered by segment, and downloadable as a CSV for your email tool.
Invite analysts and account managers with their own logins. They open the same dataset, the same MBA and RFM reports and the same spaces. The AI connection is wired once, for the workspace, so a client engagement survives any single laptop.
When client audits pile up, the reflex is another analyst req. Affinsy makes the analyst you have, or the founder, cover every client on the roster with the evidence to show for it. Same month of work, side by side.
AffinsyHow CRO and retention agencies (and the merchants we work with) typically use Affinsy. Quick, honest answers.
Still have a question? Email usDrop a client’s order history in. Affinsy returns the rules, the hypotheses, and the audience for each one.
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For CRO and retention agencies delivering across up to 10 client stores.
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See a sample auditMerchant gives one store the same analyses: basket rules ranked into testable moves, customer segmentation with win-back audiences, and the workspace assistant.
More than 10 client stores or higher data volumes? Tell us about your book, we size larger plans case by case.
