| name | shopping-assistant-performance |
| description | Analyze how your Shopping Assistant is performing as a revenue channel — most recommended products, best-converting recommendation pairs, revenue and time-to-purchase per conversation, and the pre-sales topics and handover reasons behind it. Read-only. Analytics are in beta — directional. |
Shopping Assistant Performance
Shopping Assistant is a revenue surface, not a support cost — it recommends products, answers pre-sales questions, and nudges shoppers toward checkout. But most teams never look at how well it sells. This recipe turns it into a channel you can actually manage: what it recommends, what converts, what it earns, and where pre-sales conversations break down. Read-only.
Heads up: Gorgias MCP analytics are in beta. Revenue, conversion, and time-to-purchase figures are directional and may differ from your in-product Statistics. Use them for trends and prioritization, and cross-check exact numbers before reporting them up.
When to use it
- A monthly read on Shopping Assistant as a revenue channel
- Deciding which products to feature or pair in recommendations
- Diagnosing why pre-sales conversations stall or hand over to a human
- Building the case for (or measuring the ROI of) pre-sales automation
Customize before you run
| Variable | Example |
|---|
{{WINDOW}} | "the last 30 days" |
{{COMPARE_TO}} | "vs the previous 30 days" (optional) |
The workflow
Using the Gorgias MCP, give me a Shopping Assistant performance read for {{WINDOW}} ({{COMPARE_TO}}). Where a figure relies on beta analytics, say so.
Recommendations & conversion
- What are my most recommended products?
- What products are most commonly recommended together, and which pair converts best?
- What's the purchase rate per recommendation pair?
Revenue & velocity
4. What's the revenue per Shopping Assistant conversation?
5. What's the time-to-purchase after a recommendation?
Where shoppers engage & stall
6. Which product pages start the most conversations?
7. What pre-sales topics do shoppers ask about most frequently?
8. What are the biggest handover reasons for pre-sales conversations, and how often does each occur?
Close with the top 3 actions: products to feature, pairings to push, and the pre-sales gap to fix first.
What it writes
Nothing — read-only.
Tips
- Recurring handover reasons are pre-sales questions the assistant couldn't close — feed them to
intent-gap-guidance so it can next time.
- Pre-sales topics that map to specific products belong in
pdp-gap-finder — answer them on the page and in the assistant.
- Some signals (e.g. product-link clicks / add-to-cart from a card) may not be available yet — if a number comes back empty, it's a current limitation, not a data error.
