24–30 Aug vs. 17–23 Aug 2026 · First-purchase acquisition · Consistent 7-day click / 1-day view reporting window
01 / Spend grew. Customer acquisition did not.
The example total rose from $8,000 to $10,000 while attributed first-time customers remained at 200. Blended CAC increased from $40 to $50. The total is below the illustrative $60 target, but that alone does not justify further scaling.
- Spend
- $10,000
- First-time customers
- 200
- Blended CAC
- $50
02 / Delivery: where the budget went
| Channel | Spend | Customers* | CAC* |
|---|---|---|---|
| Meta Ads | $4,800 | 80 | $60 |
| Google Ads | $3,200 | 80 | $40 |
| TikTok Ads | $2,000 | 40 | $50 |
| Total | $10,000 | 200 | $50 |
*Customers are deduplicated attributed first purchases in this synthetic example, not platform-reported conversions. CAC = spend ÷ those customers. Channel averages alone do not predict the return on the next dollar.
03 / Attribution: check the comparison first
The period totals use one conversion definition and reporting window. Before applying this structure to real data, verify cohort maturity, timezone, currency, and refresh status across the two periods.
- Use AppsFlyer or Adjust for the chosen mobile attribution baseline; keep media delivery separate.
- For a web journey, define the GA4 acquisition event and attribution basis before comparing it with media conversion counts.
- Mark missing or delayed observations explicitly. Do not replace them with zero or add duplicate conversions from multiple systems.
04 / Creative: review before replacing
Meta has the highest average CAC in this example. That does not prove creative fatigue. This dataset has no ad-level reach, frequency, CTR, or conversion breakdown, so a fatigue verdict would be unsupported.
Request next: creative-level delivery trends, audience exposure, landing-page conversion, and the timing of budget changes. Separate a tired message from an expensive audience or a weaker funnel.
05 / Findings: facts and hypotheses
- Observed: spend increased 25%; acquired customers were flat; blended CAC increased 25%.
- Observed: Google Ads has the lowest average CAC in this period.
- Hypothesis: marginal spend may be reaching less efficient traffic. Prior-period channel and campaign mix are needed to test it.
- Not established: which channel caused the change, whether creative is fatigued, or whether shifting budget would improve CAC.
06 / Actions: investigate, then decide
- Analyst: compare channel and audience mix with the prior period, using equal-maturity cohorts.
- Media owner: check Google Search headroom and incremental conversion quality before proposing an increase.
- Creative owner: review the ad-level signals before producing a replacement brief.
- Approver: review any proposed budget test with a spend cap and success criterion. No campaign changes have been made.
07 / Follow-up: measure the decision
Repeat the review after the next comparable reporting window has matured. Record which actions were approved, what actually changed, and whether new-customer acquisition improved—not just CTR.
Evidence checklist for your real report
- Authorized resource IDs and source timestamps, without exposing credentials.
- Spend query and deduplicated conversion source, definition, and window.
- Comparison period and cohort cutoff; missing, partial, or delayed states.
- Action owner, approval record, execution result if applicable, and next review date.
This example has no live source receipts. Replace synthetic numbers with verified source output before sharing as a business report.