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Turns seller-provided e-commerce metrics into a one-page KPI review using only user-chosen targets, explicit data gaps, and one evidence-based priority.
$8
Günlük & Haftalık Panel
Example session with this skill installed
Review my last seven days. Revenue was $1,240 from 31 orders, ad spend was $280, site sessions were 2,900, and refunds were $65. My chosen weekly revenue target is $1,500. I do not yet have attributed orders, payment fees, product costs, or the previous seven-day period.
- Read your context and instructions
- Compiled the g nl k
Weekly KPI review
Data quality: partial. Revenue, orders, ad spend, sessions, refunds, and the seller-chosen revenue target are available. Attributed orders, payment fees, product costs, and the comparable prior period are missing.
| Metric | Actual | Seller-chosen target | Status |
|---|---|---|---|
| Revenue | $1,240 | $1,500 | $260 below target |
| Orders | 31 | Not provided | Report only |
| Average order value | $40.00 | Not provided | Report only |
| Sessions | 2,900 | Not provided | Report only |
| Site conversion rate | 1.07% | Not provided | Report only |
| Ad spend | $280 | Not provided | Spend only; CAC/ROAS unavailable |
| Refunds | $65 | Not provided | 5.24% of gross revenue; not a pass/fail rule |
What cannot be concluded
CAC cannot be calculated without attributed customers or orders. ROAS cannot be calculated without an agreed attribution basis. Contribution margin and profitability cannot be calculated without product, fulfillment, payment, and other variable costs. There is no prior-period dataset, so this report cannot call the week an improving or declining trend.
One priority
Complete the measurement set: attributed orders with the same seven-day window, payment fees, product/fulfillment costs, and other variable order costs. Then calculate contribution before ads and CAC before deciding whether to raise or cut spend.
No universal CAC, AOV, margin, rating, or stop-rule threshold has been applied.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
E-commerce dashboards become misleading when missing data is treated as zero, attribution windows are mixed, or universal stop rules are applied without the seller’s context.
What it does
- Organizes revenue, orders, traffic, conversion, ad spend, returns, listing output, and cash constraints for a defined period.
- Separates missing data from true zero values and keeps currencies, bases, and date ranges consistent.
- Compares performance only with seller-chosen targets or clearly sourced platform requirements.
- Ends with one evidence-based next action instead of an unsupported causal diagnosis.
Use cases
- Weekly Etsy or Shopify review.
- Actual versus seller-chosen target reporting.
- Data-quality and attribution checks.
- Unit-economics readiness review.
Known limitations
Requires seller-provided metrics. It does not connect to store or ad accounts, guarantee growth, or apply universal CAC, AOV, margin, rating, quota, or liquidation thresholds.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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