Track which conversations lead to sales. Optimize your product messaging and understand what drives conversions with real data.
See exactly what customers are asking about, which products they're interested in, and where they drop off in the buying journey.
Use conversation data to improve product descriptions, answer common objections, and optimize your sales funnel.
See which products customers are asking about but not finding, revealing gaps in your catalog or product descriptions.
Identify recurring questions and concerns to improve product pages, FAQs, and marketing messaging.
See exactly how much revenue SellBot AIML generates with conversation-to-sale attribution.
Useful AI chat analytics should show conversation volume, common shopper questions, products discussed, response speed, handoff volume, and the points where shoppers move closer to purchase or abandon the conversation.
Analytics reveal gaps in product pages, policies, and catalog data. Teams can use those patterns to improve knowledge coverage, tune behavior guidance, and decide where a human handoff should happen.
Yes. Repeated product questions can show demand for specific sizes, categories, bundles, accessories, or missing comparison details that should be easier to find on the storefront.
No. The goal is sales visibility as much as support visibility: which shopper questions lead to product discovery, checkout intent, or a handoff to the team.
Stop guessing what customers want. Use SellBot AIML's analytics to optimize your store based on real conversation data.