Track product engagement
Where storefront tracking is configured, review how shoppers interact with products presented through CommerceGPT.
- Product-card impressions
- Product-card clicks
- Common add-to-cart signals
Conversational commerce analytics
See what happens between a customer question and the next shopping action.
CommerceGPT commercial-impact reporting connects supported conversation signals with product engagement, carts, purchase influence, unresolved questions and support outcomes while keeping attribution confidence visible.
Product engagementAttribution confidenceSupport outcome signals
Built for ecommerce questions
Measure more than the number of chatbot conversations.
Conversation volume alone does not show whether an ecommerce assistant is useful. CommerceGPT reporting is designed to connect supported shopper interactions with downstream actions while separating stronger evidence from inferred or client-reported signals.
Review purchase influence carefully
Separate direct tracked purchase paths from assisted or influenced outcomes instead of assigning every later purchase entirely to the chatbot.
- Direct tracked purchase paths
- Assisted purchase influence
- Revenue-assisted reporting where supported
Keep event confidence visible
Distinguish browser or client-reported events from stronger server or commerce-platform verification when those sources are available.
- Client-reported events
- Verified events where integrated
- Attribution confidence retained in reporting
Review friction and support outcomes
Use unresolved questions, unavailable-product demand and outcome events to investigate where shoppers may still need better information or human support.
- Unresolved final questions
- AI-resolution signals
- Human-handoff reporting when outcome events are recorded
Installation options
Install with AI, connect through MCP, or use a code snippet.
CommerceGPT keeps manual setup available while also providing guided Install with AI and an authenticated Installer MCP for compatible coding agents.
Guided setup instructions
Authenticated MCP installer tools
Manual code snippet remains available
Explore CommerceGPT
Related guides and solutions
Ecommerce knowledge gap analysis
Find repeated questions and missing information that may deserve attention.
Learn moreCommercial-impact features
Review the complete CommerceGPT reporting feature set.
Learn moreAI product recommendations
See how product recommendations connect to tracked engagement signals.
Learn moreFrequently asked questions
Practical answers before you start.
What does CommerceGPT track after a shopper conversation?
Where the relevant storefront tracking is configured, CommerceGPT can report product-card impressions and clicks, common add-to-cart signals, purchase influence and other commercial-impact events supported by the available tracking data.
Does CommerceGPT claim full credit for every purchase after a conversation?
No. CommerceGPT reporting distinguishes different types of supported attribution, including direct purchase paths after tracked product engagement and assisted or influenced outcomes where the assistant may have contributed without receiving sole credit.
Are all purchase events verified?
No. CommerceGPT keeps browser-reported or client-reported events separate from verified server or commerce-platform events where those stronger verification sources are available.
Can CommerceGPT identify questions that may have contributed to abandonment?
CommerceGPT can surface unresolved final questions and other conversation signals that may indicate friction. These are indicators for business review and should not be treated as proof that a single question caused abandonment without stronger evidence.
Can CommerceGPT measure AI resolution and human handoff?
CommerceGPT includes inferred AI-resolution and recorded human-handoff reporting when the storefront emits the required outcome events. The interpretation depends on the available event data.
Try CommerceGPT with your own ecommerce website.
Create a free account, add your website and test realistic customer questions before deciding how to install it.