--- title: "KnoCommerce Integration for Rig: Query KnoCommerce Data in Plain English" description: "Connect KnoCommerce to Rig and query your KnoCommerce data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse." canonical: "https://rig.so/integrations/knocommerce" format: markdown --- Browse integrations ![KnoCommerce logo](https://img.logo.dev/knocommerce.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true) Analytics & product Supported # KnoCommerce integration for Rig ## The easiest way to connect KnoCommerce to Claude and other AI tools KnoCommerce runs post-purchase surveys for ecommerce brands, covering attribution, motivation and customer profile questions in a single flow after checkout. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) ## What Rig syncs from KnoCommerce Once connected, Rig models these objects so questions resolve to the right tables and joins: - Survey responses - Survey catalog - Question catalog - Customer ID - Customer email - Customer shop ## How KnoCommerce connects to Rig Give Rig a client ID and secret. Rig syncs survey responses along with the survey and question catalog, and each response carries the customer ID, email and shop, so answers join to your orders and customers rather than living in a separate tool. ## Capture the attribution your pixels miss Between privacy changes and offline channels, a meaningful share of demand is invisible to tracking. KnoCommerce asks the customer directly, and Rig lands those answers next to the order they came from, so declared and tracked attribution can be compared per order. Ask Rig - What share of orders name a channel our tracking never recorded? - How does declared attribution compare with platform-reported attribution? - Which channels do first-time buyers name most often? ## Segment customers by why they bought, not just what KnoCommerce covers motivation and profile questions as well as attribution. In the warehouse those answers become customer attributes, so you can compare behaviour and value across the reasons people bought rather than only across the products they chose. Ask Rig - Do customers buying for a gift repeat at a different rate? - Which stated motivations correlate with the highest lifetime value? - How does average order value differ by customer segment? ## Track responses over campaigns and time Survey answers move as awareness and marketing change. With responses stored historically and joined to orders, you can see how the mix shifts against real campaign dates and real revenue rather than reading a current-period summary. Ask Rig - How did the answer mix change after our brand campaign launched? - Are attribution answers shifting between channels over time? - What is revenue by declared source by quarter? ## Ask your KnoCommerce data in Claude, ChatGPT or Cursor Rig serves your KnoCommerce data to AI assistants over MCP. Once KnoCommerce is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL. - [Claude](https://rig.so/integrations/claude) - [Claude Code](https://rig.so/integrations/claude-code) - [Cursor](https://rig.so/integrations/cursor) - [ChatGPT](https://rig.so/integrations/chatgpt) - [Codex](https://rig.so/integrations/codex) - [Gemini](https://rig.so/integrations/gemini) ## Frequently asked questions What does Rig sync from KnoCommerce? Survey responses plus the survey and question catalog. Each response carries customer ID, customer email and customer shop, which is what makes the join to orders possible. How is this different from Fairing? Both run post-purchase surveys and both sync the same way. KnoCommerce leans towards multi-question flows covering motivation and profile alongside attribution. If you run both, Rig can sync both. What do I need to connect KnoCommerce? A client ID and client secret from your KnoCommerce account. Can I compare survey answers with ad platform data? Yes. Once responses, orders and ad spend are in one warehouse, Rig can answer questions that span all three, which is where the gap between declared and tracked attribution becomes measurable. ## Related integrations [![Fairing logo](https://img.logo.dev/fairing.co?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)FairingPost-purchase survey answers joined to the orders that generated them.](https://rig.so/integrations/fairing)[![Google Analytics 4 logo](https://img.logo.dev/analytics.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Analytics 4Funnel, channel and conversion analytics from your GA4 events.](https://rig.so/integrations/google-analytics-4)[![Google Search Console logo](https://img.logo.dev/search.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Search ConsoleDaily organic search clicks, impressions, CTR and position by query and page.](https://rig.so/integrations/google-search-console)[![Google Tag Manager logo](https://img.logo.dev/tagmanager.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google Tag ManagerYour whole tag, trigger and variable configuration as queryable tables.](https://rig.so/integrations/google-tag-manager)[![Langfuse logo](https://img.logo.dev/langfuse.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)LangfuseToken cost, latency and quality analytics for your LLM features.](https://rig.so/integrations/langfuse)[![Microsoft Clarity logo](https://img.logo.dev/clarity.microsoft.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Microsoft ClarityDaily engagement, scroll depth and rage-click snapshots from Clarity.](https://rig.so/integrations/microsoft-clarity) ## Connect KnoCommerce data to AI tools like Claude Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/integrations/knocommerce) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)