OpenRank LabsAEO & ChatGPT Ads WorkflowsStart here
Example deliverable · fictional data throughout

A plan you can
examine before paying.

This fictional retail example demonstrates the structure of our work. It is not a client case study, an account audit, a scan, or evidence of achieved performance.

Example assumptions: one retail offer, one proposed market, a purchase action, $150 order value, 60% contribution margin, $2 CPC, 3% click conversion rate, $10,000 monthly media, and the current growth-management fee shown below. Margin excludes advertising and the agency fee; all figures are hypothetical USD.

Sample decision scorecard

Evidence gapNext actionOwnerSuccess measure
Advertiser and market eligibility unknownCheck actual account capabilities and supported market before promising a launchAgency delivery lead + client account ownerEligibility evidence recorded; unsupported launch not approved
Purchase event not testedQA primary events and deduplication; document attribution settingsMeasurement ownerAgreed test transactions appear once with source/timezone/window documented
Margins and conversion rate are assumptionsValidate contribution costs and design a bounded acquisition testClient finance owner + agency strategistAssumptions accepted or revised; budget cap and decision date signed off
Creative lacks an approved hypothesisDraft one buyer-relevant message test and verify claimsCreative lead + client approverApproved assets, hypothesis, customer action, and review criteria retained

Example action sequence

  1. Before spend: resolve eligibility and event QA. Do not use an average score to bypass either gate.
  2. Before launch: approve the economics assumptions, creative, owner, test envelope, and stopping rule.
  3. At readout: review qualified customer actions, fee-inclusive contribution, and uncertainty. Expand only where the evidence supports the next allocation.

Time to readout depends on traffic, sales cycle, and test design. This example sets no statistical-confidence or performance promise.

Interactive example · hypothetical · USD

Does the scenario
cover acquisition costs?

Single-order contribution model. No lifetime value is assumed. Change the numbers to see how media and agency fees affect the result. This does not forecast platform performance.

Scenario output · example assumptions
Estimated paid conversions150
Contribution per order$90.00
Contribution after media and agency fee-$1,500.00
Maximum media CPA at this scenario volume$56.67

This scenario cannot cover its acquisition costs.

Contribution margin must account for all variable delivery costs except advertising and the agency fee. More complete customer economics require additional evidence.