Manage creator campaigns with a shared data language by calculating GMV, conversion rate, average order value and earnings per click with consistent denominators.
“We earned strong reach” and “we grew efficiently” are not the same statement. Creator content may build attention, send qualified traffic, enlarge a basket or deliver the last touch before a sale. Marketing, commerce and finance teams need to read the same metrics with the same denominators to understand which job the content performed.
GMV, CVR, AOV and EPC form the core of that shared language. Adding acronyms to a dashboard is not enough. Creator comparisons become misleading if nobody can tell whether GMV is before or after returns, whether CVR uses clicks or sessions, and whether EPC describes gross revenue or contribution.
The correct formulas for four core metrics
| Metric | Recommended formula | Question answered |
|---|---|---|
| Gross GMV | Product total of attributed orders | How much order demand did the creator generate? |
| CVR | Approved orders / unique qualified sessions | How effectively did the traffic convert? |
| AOV | Approved net sales revenue / approved orders | How large was the converted customer's basket? |
| EPC | Approved net revenue / unique tracked clicks | How much revenue did each click generate? |
Add a second financial EPC column: contribution EPC = pre-marketing contribution / unique tracked clicks. Two creators may deliver identical revenue EPC, while the creator selling lower-margin products leaves less contribution for the business.
An “approved order” has passed payment failure, cancellation, fraud and return rules. Pending orders can be shown while the campaign is active, but estimated and finalized values should never be blended into one cell.
Example: four stories inside one report
Consider these 30-day results for two creators:
| Indicator | Creator A | Creator B |
|---|---|---|
| Unique tracked clicks | 10,000 | 6,000 |
| Approved orders | 300 | 240 |
| Approved net revenue | TRY 420,000 | TRY 384,000 |
| CVR | 3.0% | 4.0% |
| AOV | TRY 1,400 | TRY 1,600 |
| Revenue EPC | TRY 42 | TRY 64 |
Creator A brings more total revenue; Creator B produces stronger conversion, basket size and click efficiency. Scaling A's reach may make sense, while testing B's creative angle with similar creators may improve profitability faster. There is no universal answer to “who won?” The decision depends on capacity, margin, new-customer mix and creator cost.
Build the report in five layers
Rather than placing dozens of metrics on one screen, let each layer answer a distinct question.
1. Delivery and content health
Show approval time, on-time publication, brief compliance, advertising disclosure and usage-right status. Even strong sales cannot make a non-compliant disclosure or unauthorized ad usage scalable.
2. Attention and traffic
Present reach, views, completion, saves and link clicks by platform. Standardize clicks through UTM source, medium, campaign and content fields. Google Analytics guidance recommends consistent campaign naming; using “instagram,” “Instagram” and “ig” as three sources fragments the report.
3. Commerce outcome
Show gross GMV, pending orders, approved orders, CVR, AOV and revenue EPC. Label coupon orders with no observable link click as a separate attribution method. Never count one order once in the link row and again in the coupon row.
4. Financial quality
Return rate, discount cost, product margin, creator cost, customer acquisition cost and post-campaign contribution belong here. Continue to the post-return profitability guide for the full waterfall.
5. Customer cohort
Track new-customer share, 30/60-day repeat purchase, first-order category and product breadth. This keeps short-term sales targets separate from longer-term customer value.
Use a decision card, not a universal creator score
Compressing every metric into one “creator score” discards useful information. Give every creator a decision card instead:
- Role: awareness, consideration, conversion or reactivation.
- Strongest creative angle: demonstration, comparison, routine, problem–solution or live explanation.
- Commerce result: approved GMV, CVR, AOV and EPC.
- Economic result: net contribution, new-customer cost and return rate.
- Operational result: delivery reliability, revision load and brand safety.
- Next decision: scale, test with another product, change creative or stop.
A creator-commerce case discussed in the Ankara E-Export Summit '25 report illustrates that sales can concentrate within a small portion of a creator portfolio. This is not a fixed benchmark for every brand. It is a reason to build learning loops at creator and product level instead of managing the portfolio by its average.
Keep attribution fields visible
The report should show how credit was assigned, not only the sales number:
| Field | Example value |
|---|---|
| Attribution method | Tracked link plus creator coupon |
| Lookback window | Seven days after click |
| Conflict priority | Direct creator coupon |
| Order status | Pending / approved / returned |
| Customer type | New / existing / reactivated |
Google's attribution documentation explains how models distribute credit differently across touchpoints. When a model changes, annotate the report version and transition date to preserve historical comparisons. Do not hide differences among platform data, web analytics and the order system as “errors”; reconcile them by source.
Weekly and monthly meetings need different reports
The weekly operations report focuses on inventory, publication, click anomalies, pending orders and rapid creative tests. The monthly decision report uses return-matured cohorts, net contribution, creator reinvestment decisions and budget allocation. Use early data for speed and matured data for financial commitment.
Every insight should produce an action: “Creator B's comparison video delivered stronger CVR, so we will test that angle with two micro creators and another price tier.” That is more operational than “engagement increased month over month.”
Data-quality checklist before launch
- Does every URL use the standard UTM fields?
- Are link and coupon orders deduplicated?
- Are click, session and user denominators kept separate?
- Are GMV and approved net revenue distinct?
- Do all sources share a time zone and currency rule?
- Are cohorts with open return windows labeled pending?
- Are creator fees, seeded products and media costs complete?
- Can every dashboard ratio be recalculated from visible raw counts?
Use the link and coupon attribution guide to build the measurement layer end to end. To turn those measurements into an operating model, continue with the creator commerce implementation guide.
The takeaway
A strong influencer report is not a presentation that decorates the past; it is a system that accelerates the next budget decision. GMV describes demand, CVR traffic quality, AOV basket behavior and EPC the economic density of traffic. Once returns, margin and customer cohorts are added, a brand can see which creators generate measurable, durable growth rather than visibility alone.
Create a brand account and manage the process from creator discovery through campaign reporting in one place.