Track Chat Conversions
Know that AI conversations drive revenue.
Your AI chatbot for Shopify answers questions all day. But is it actually driving sales? Conversion Analytics connects chat activity to real revenue, so you can see what your AI is contributing and tune it to recover more carts. It does this without tracking shoppers individually.
Why Conversion Tracking Matters
Most support tools show how many tickets the AI deflected. Useful, but incomplete. The other side of the story is revenue: when a shopper chats and then buys, you want to see that connection. You also want to understand what helped move them to checkout.
Traditional attribution depends on tracking people across sessions, stitching together cookies and profiles. That’s exactly what privacy-conscious merchants, and increasingly regulators, want to move away from. Flyweight takes a different approach: it gives you a reliable view of whether and when chats influence purchases through privacy-respecting attribution models. No individual tracking. No shadow profiles. Just the clarity you need to make better decisions while respecting customer privacy.
How Conversion Attribution Works
Flyweight correlates chat activity with orders at an aggregate level, then reports revenue impact across configurable attribution windows. You control how tightly chat activity is tied to a purchase.
Configurable attribution windows
Pick the window that matches how your customers buy:
- 2 hours - for fast, in-session decisions where a chat clearly led to checkout.
- 1 day - for shoppers who ask a question, think it over, and come back later that day or the next.
- 7 days - for higher-consideration products with a longer path to purchase.
Looking at the same chat activity across different windows helps you separate immediate revenue from more considered purchases. That gives you a clearer sense of how and when to follow up.
The metrics you get
- AI-generated Revenue (AIR) - revenue correlated with chat activity, reported across each attribution window so you can compare short-term and longer-term impact.
- AI-influenced Order Count - how many orders are associated with chats, measured in aggregate rather than tied to named individuals.
- Average Order Value (AOV) after a chat - whether shoppers who engage with your AI tend to spend more per order.
- Average Time to Conversion - how long it usually takes from chat to purchase, so you can see whether the AI is closing in the moment or starting the journey.
Optimize Your Funnel With Real Data
Metrics only matter if they help you improve the store. Conversion Analytics turns chat data into a practical feedback loop:
- Sharpen your copy. See which conversations tend to happen before a purchase, then improve the messaging that underperforms.
- Time your popups. Use time-to-conversion data to decide when to show offers, recommendations, or a proactive prompt.
- Tighten CTA logic. Test where and how the AI nudges shoppers toward checkout, then keep what lifts AOV.
For the full picture, Conversion Analytics works alongside Resolution Analytics: one shows what the AI sells, the other shows what it resolves. Together, they tell you whether your chatbot is both helpful and commercially valuable. So your AI doesn’t just talk, it sells.
Privacy by Design
Privacy isn’t an afterthought here. It’s the starting point. Attribution is aggregated and modeled, not built on per-user tracking, so you get a dependable signal of chat-driven revenue without profiling the people behind those conversations. Flyweight is GDPR and EU-AI-Act aligned, so the analytics helping you grow are handled responsibly from day one. You shouldn’t have to choose between understanding your funnel and respecting your customers. With Flyweight, you don’t have to.
FAQ
Do you track individual users to attribute revenue?
No. Conversion Analytics uses privacy-respecting, aggregate attribution models. It does not track shoppers individually or build per-person profiles. You get a reliable read on chat-driven revenue while keeping customer privacy intact.
What attribution windows can I choose?
You can view AI-generated Revenue and related metrics across configurable windows of 2 hours, 1 day, and 7 days. Shorter windows capture in-session purchases. Longer windows reflect higher-consideration buying journeys.
Which metrics will I see?
AI-generated Revenue (AIR) across each window, AI-influenced Order Count (aggregated), Average Order Value after a chat, and Average Time to Conversion. Paired with Resolution Analytics, you get both the revenue side and the resolution side of your AI’s performance.
How is this different from standard support analytics?
Most support metrics focus on deflection and resolution. Conversion Analytics focuses on revenue, connecting chat activity to sales so you can see commercial impact and improve copy, popup timing, and CTA logic around it.
Conclusion
Support metrics tell you the AI is active. Conversion Analytics tells you whether it’s paying off. With configurable attribution windows, revenue and AOV signals, and time-to-conversion, all reported without tracking individuals, you get a clear view of what your AI is driving and a privacy-first way to make it drive more.














