Your Shoper orders, turned into a test backlog.
Drop in a Shoper order export as-is: Affinsy reads Shoper's wide, semicolon-separated CSV format natively and converts it for analysis. Then it finds the products your customers buy together, segments them by purchase behavior, and hands you ranked experiments to run.
No credit card · First report in minutes
How your Shoper data gets in
Three paths, all using what Shoper already gives you. There is no app to install from the Shoper marketplace.
- Export your orders to CSV from the Shoper admin panel.
- Drop the file into Affinsy as-is. Shoper's wide format (one row per order with repeated product columns, semicolon separated) is detected and converted automatically.
- Review the automatic column mapping, deselect any optional fields you want to leave out, and start the analysis.
- Copy your signed webhook URL from the Affinsy dashboard.
- In your Shoper admin, add a webhook for new-order events pointing at your URL.
- New orders stream in automatically from then on.
- Create a dataset and authenticate with your API key.
- POST orders to /api/v1/data/orders from your pipeline, one by one or in batches.
- Trigger runs and pull results over /api/v1/reports, or get a webhook when a run finishes.
Two reports and a plan, from one order history.
Association rules over your real orders: which products pull each other into the cart, how often, and what each pairing is worth. Ranked by revenue impact, not just statistical lift.
Every customer scored on recency, frequency, and monetary value, then grouped into segments like Champions, Loyal, At risk, and Hibernating, each with counts and revenue share.
Each finding comes with a hypothesis you can act on: the bundle to offer, the segment to target, the cross-sell to test, ranked so you know where to start.
Shoper specifics
Yes, natively. Shoper exports orders in a wide layout (one row per order, with product columns repeated) using semicolons as separators. Affinsy detects that layout, converts it to per-line-item rows, and maps Shoper's column names automatically. You see the mapping before anything is processed.
No. Affinsy is not a Shoper app. You upload a CSV export, point a webhook at Affinsy, or push orders over the API. Nothing is installed in your store.
RFM segmentation works from your first upload. Market Basket Analysis gets stronger with more co-purchase history: the more orders you include, the more reliable the bought-together rules become, so export the widest date range you can.
Affinsy only needs a stable per-customer identifier for segmentation. You can use a customer number or a hashed email instead of a raw address if you prefer to keep PII out. If you plan to export segments to an email tool later, keep real email addresses in the data.
Your next bundle is already in your order history.
Export your Shoper orders and see the first report in minutes.
Order data from: Affinsy for Shopify · Affinsy for WooCommerce
Segments out to: Affinsy for Klaviyo · Affinsy for MailerLite · Affinsy for Omnisend