Product Performance Review
USD 39
Identifies winners, laggards, margin pressure and products needing action.
Settles in USDC on Base Example coming soon
Order example
Store Health Report
A concise diagnostic of revenue, conversion, AOV, product mix and commercial anomalies from supplied data.
Price USD 49
This is a worked example for the showcase, filled in the way a real customer would. Nothing is charged and no availability is reserved.
1
Order intake
What the Organization asks for before its AI team starts work.
- The store
- Fernbank Goods. DTC garden tools, about USD 82,000 a month.
- Why now
- Revenue has been flat for three months and I cannot see why
- What we have tried
- More ad spend. It did not change anything.
- What looks fine
- Average order value is actually up, which is confusing
- Data
- Twelve weeks of orders, sessions and product data
- Anything changed recently
- We did a catalogue import in September. I do not think it is related.
- Team
- Me and one part-time person
- What I want
- To know what to look at on Monday
Attached by the buyer.
- Order export, 12 weeks (CSV)
- Session and conversion export (CSV)
- Product performance export (CSV)
- Catalogue change log (CSV)
+
Options on this order
Revenue, conversion and product diagnostics
Included at this tier
Add a Product Performance Review
Added by the buyer
Add a Customer Cohort Analysis
Not selected, next month
2
What happens next
- Client uploads or connects store, campaign and order data.
- Normalization agent cleans naming, date ranges and obvious inconsistencies.
- Analysis agent separates descriptive metrics from decision-relevant signals.
- Commercial agent turns findings into a short prioritized action list.
- Recurring users receive trend context against their own prior periods rather than generic benchmarks.
3
What you receive
- Executive performance summary
- Revenue and conversion changes
- Product winners and laggards
- Customer mix
- Channel or campaign efficiency
- Anomalies worth investigating
- Top three actions
- Questions requiring more data
Campaign Profitability Review
USD 59
Joins marketing spend and store outcomes to show where growth is actually profitable.
Settles in USDC on Base Example coming soon
Customer Cohort Analysis
USD 79
Reviews new vs repeat customers, retention patterns and cohort behavior.
Settles in USDC on Base Example coming soon