Track Chat Conversions
Know that AI conversations drive revenue.
Your AI chatbot for Shopify answers questions all day — but does it actually sell? Conversion Analytics connects chat activity to real revenue so you can see what your AI is worth, then tune it to close more carts. And it does this without ever tracking shoppers individually.
Why Conversion Tracking Matters
Most support tools tell you how many tickets the AI deflected. That's useful, but it's only half the story. The other half is revenue: when a shopper chats and then buys, you want to know — and you want to know what nudged them over the line.
Traditional attribution leans on tracking individuals across sessions, stitching together cookies and profiles. That's exactly what privacy-conscious merchants (and increasingly, regulators) want to move away from. Flyweight takes the opposite approach: it gives you a reliable read on whether and when chats influence purchases using privacy-respecting attribution models — no individual user tracking, no shadow profiles. You get the clarity you need to make decisions while keeping customer privacy intact.
How Conversion Attribution Works
Flyweight correlates chat activity with orders at an aggregate level, then reports the revenue impact across configurable attribution windows. You decide how tightly to attribute.
Configurable attribution windows
Choose the window that fits how your customers shop:
- 2 hours — for quick, in-session decisions where a chat clearly led straight to a checkout.
- 1 day — for shoppers who chat, sleep on it, and come back the same or next day.
- 7 days — for higher-consideration products with a longer path to purchase.
Looking at the same chats through different windows tells you how much of your revenue is immediate versus considered — and that shapes how you follow up.
The metrics you get
- AI-generated Revenue (AIR) — revenue correlated with chat activity, reported across each attribution window so you can see short- and longer-horizon impact.
- AI-influenced Order Count — how many orders chats are associated with, aggregated rather than tied to named individuals.
- Average Order Value (AOV) after a chat — whether shoppers who engage with your AI spend more per order.
- Average Time to Conversion — how long it typically takes from chat to purchase, so you know whether you're closing in the moment or planting a seed.
Optimize Your Funnel With Real Data
Numbers are only worth as much as the decisions they unlock. Conversion Analytics turns chat data into a tuning loop for your store:
- Sharpen your copy. See which conversations precede purchases and rework the messaging that falls flat.
- Time your popups. Use time-to-conversion to decide when to surface offers, recommendations, or a proactive prompt.
- Tighten CTA logic. Test where and how the AI nudges toward checkout, then keep what moves AOV.
For the full picture, Conversion Analytics pairs with Resolution Analytics: one shows you what the AI sells, the other shows you what it resolves. Together they tell you whether your chatbot is both helpful and commercially worth it — so your AI doesn't just talk, it sells.
Privacy by Design
Privacy isn't a footnote here — it's the foundation. Because attribution is aggregated and modeled rather than built on per-user tracking, you get a dependable signal of chat-driven revenue without profiling the people in those conversations. Flyweight is GDPR and EU-AI-Act aligned, so the analytics that grow your store are handled responsibly from the start. You shouldn't have to choose between understanding your funnel and respecting your customers, and with Flyweight you don't.
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 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 and the resolution side of your AI's performance.
How is this different from standard support analytics?
Most support metrics measure deflection and resolution. Conversion Analytics measures money — connecting chat activity to revenue so you can see commercial impact and optimize copy, popup timing, and CTA logic around it.
Conclusion
Support metrics tell you the AI is busy. Conversion Analytics tells you it's worth it. With configurable attribution windows, revenue and AOV signals, and time-to-conversion all reported without tracking anyone individually, you get real clarity on what your AI delivers — and a clear, privacy-first path to making it sell more.