affinsy.com valid
Affinsy
Affinsy turns raw e-commerce order history into revenue-ranked test hypotheses. It mines Market Basket Analysis (association rules: what sells together, what sells next, replenishment cycles) and RFM customer segmentation from uploaded or synced order data, then attaches a ready-to-export customer audience (Klaviyo, CSV, API, MCP) to every hypothesis. Built for agencies first, with self-serve plans for merchants.
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.affinsy.com/llms.txt
- llms-full.txt
- https://www.affinsy.com/llms-full.txt
- Sections
- 7
- Links
- 308
- Size
- 91798 bytes
- Registered
- 2025-11-28
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- Ecommerce
- For agents
- Transactional: buying or booking an agent could carry out
- First seen
- 2026-10-24T12:35:22.932Z
- Last checked
- 2026-10-24T12:35:24.670Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T12:35:22.983Z. Cached copy · Source on affinsy.com
# Affinsy
> Affinsy turns raw e-commerce order history into revenue-ranked test hypotheses. It mines Market Basket Analysis (association rules: what sells together, what sells next, replenishment cycles) and RFM customer segmentation from uploaded or synced order data, then attaches a ready-to-export customer audience (Klaviyo, CSV, API, MCP) to every hypothesis. Built for agencies first, with self-serve plans for merchants.
Data comes in via CSV upload, webhook, or API; no app install on the store. Pattern mining is deterministic (support, confidence, lift, revenue impact; RFM scoring), and every hypothesis links to the rules behind it. AI is used only to write plain-language explanations of computed results. Plans: Free, Pro, Agency, Enterprise.
## Product
- [Home](https://www.affinsy.com/): what Affinsy does, sample audit, pricing
- [About](https://www.affinsy.com/about): who builds Affinsy and why
- [Partners](https://www.affinsy.com/partners): partner program for agency founders, in-house teams and store owners
## Platform guides
- [Affinsy for Shopify](https://www.affinsy.com/for/shopify): Install Affinsy from the Shopify App Store and turn your order history into bought-together patterns, reorder lists and RFM segments. Billed by Shopify, 7-day trial. CSV and webhook paths too.
- [Affinsy for WooCommerce](https://www.affinsy.com/for/woocommerce): Turn your WooCommerce order history into bought-together patterns, RFM segments, and a ranked test backlog. CSV, webhook, or REST API. Nothing to install.
- [Affinsy for Shoper](https://www.affinsy.com/for/shoper): Turn your Shoper order history into bought-together patterns, RFM segments, and a ranked test backlog. Affinsy reads Shoper's wide CSV export natively.
- [Affinsy for Haravan](https://www.affinsy.com/for/haravan): Turn your Haravan order history into bought-together patterns, RFM segments, and a ranked test backlog. Order export or private webhook. No app to install.
- [Affinsy for Shopee](https://www.affinsy.com/for/shopee): Turn your Shopee order export into bought-together patterns, RFM segments, and a ranked test backlog. Export from Seller Centre, save as CSV, upload. No app, no API keys.
- [Affinsy for Magento](https://www.affinsy.com/for/magento): Turn your Magento order history into bought-together patterns, RFM segments, and a ranked test backlog. Export orders as CSV and upload. No extension needed.
- [Affinsy for PrestaShop](https://www.affinsy.com/for/prestashop): Turn your PrestaShop order history into bought-together patterns, RFM segments, and a ranked test backlog. One SQL Manager query, one CSV upload. No module to install.
- [Affinsy for Klaviyo](https://www.affinsy.com/for/klaviyo): Score every customer on recency, frequency, and monetary value, then export any RFM segment as a Klaviyo-ready CSV. No integration, no account access.
- [Affinsy for MailerLite](https://www.affinsy.com/for/mailerlite): Score every customer on recency, frequency, and monetary value, t
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