One campaign, two measures of efficiency
USD 1.705 vs 2.215 · Compared with the largest-spend placement, not a before-and-after reduction.
The review covers 8 September–7 October 2026. We compare conversion cost with tracked returns by placement, then check whether creative rankings tell the same story. This is retrospective selection, not a randomised experiment; the apparent advantages require a future test.
Placements: cost and return together
| Placement | PA spend (USD) | Reported conversions | CPA (USD) |
|---|---|---|---|
| Largest-spend reference | 1,092.108 | 493 | 2.215 |
| Placement A | 105.714 | 62 | 1.705 |
| Placement B | 210.154 | 121 | 1.737 |
Placement A has a 23.0% lower CPA than the reference; placement B is 21.6% lower. Spend and conversion counts are shown together because their volumes differ.
Tracked returns for the same placements
| Placement | RT cost* | RT revenue* | Revenue / cost* |
|---|---|---|---|
| Largest-spend reference | 1,010.545 | 122.107 | 0.121x |
| Placement A | 94.789 | 31.724 | 0.335x |
| Placement B | 202.020 | 50.992 | 0.252x |
Tracked return ratios for A and B are 2.77 and 2.09 times the reference. All three remain below 1x: this is a relative efficiency advantage, not evidence of profitability. * RedTrack currency and whether reported revenue represents settled income remain unverified.
Time check: does the advantage persist?
Period A: 8–22 September 2026; period B: 23 September–7 October 2026, 15 days each. Cost per event below is RT cost divided by default conversion events, calculated separately from PA CPA.
| Placement | Period | RT events | Cost per event* | Revenue / cost* |
|---|---|---|---|---|
| Largest-spend reference | A | 605 | 0.883 | 0.103x |
| Largest-spend reference | B | 511 | 0.932 | 0.141x |
| Placement A | A | 80 | 0.581 | 0.282x |
| Placement A | B | 74 | 0.653 | 0.385x |
| Placement B | A | 140 | 0.687 | 0.314x |
| Placement B | B | 134 | 0.789 | 0.196x |
Both candidates have lower cost per event and higher return ratios than the reference in both periods. However, A’s own event cost rises from 0.581 to 0.653, and B’s from 0.687 to 0.789; B’s return ratio also falls. A persistent relative advantage does not mean every metric is improving.
Creatives: lower CPA and higher return can favour different ads
Four creatives ran in this campaign. This comparison uses creative X, with the lowest whole-period CPA, and creative Y, with the most conversions and highest tracked return ratio. Both ran in both periods.
| Creative | PA spend (USD) | PA conversions | PA CPA (USD) | RT cost* | RT revenue* | Revenue / cost* |
|---|---|---|---|---|---|---|
| Creative X | 496.271 | 269 | 1.845 | 455.599 | 57.215 | 0.126x |
| Creative Y | 699.651 | 283 | 2.472 | 651.246 | 113.524 | 0.174x |
X has a 25.4% lower CPA than Y, while Y has a 38.8% higher tracked return ratio. Until valid-customer and revenue definitions are verified, CPA alone is insufficient to decide which creative to replace.
Control placement mix when comparing creatives
| Placement | Creative X: CPA / conversions | Creative Y: CPA / conversions |
|---|---|---|
| Largest-spend reference | 1.802 / 182 | 2.571 / 217 |
| Placement A | 1.477 / 30 | 2.075 / 18 |
| Placement B | 1.788 / 39 | 1.682 / 30 |
X has lower CPA on the reference placement and A, while Y is slightly cheaper on B. Creative rankings vary by placement. A future comparison should hold placement, schedule, bid and landing page constant.
How to validate the next step
- Confirm valid-customer or first-deposit events, deduplication, revenue and currency before judging true acquisition cost and return.
- Prioritise a controlled test of placements A and B with comparable reference traffic, assessing cost, volume and downstream quality together.
- Compare X and Y under stable delivery conditions. Change one creative element at a time and record asset versions and activation dates.
- Compare matching weekdays and equally mature conversion cohorts; inspect 7-, 14- and 30-day patterns and time of day. Extend observation when evidence is insufficient; elapsed days alone do not establish a result.
What this evidence supports
The data supports same-period placement and creative comparisons, not a claim that replacing a creative caused improvement. Creative revision logs, valid-customer counts, settled income and statistical significance remain unverified. This review changed no bids, budgets, schedules or creatives.
Why did CPA rise after increasing spend? Check the placement mix first.
Compare placements that ran in both periods separately from newly added traffic. A higher campaign average can reflect a change in traffic mix even when the original placements have the same CPA. Also check event definitions and conversion delay before interpreting the change.
Separate hypothetical example, not the campaign results above and not evidence that a budget increase caused a change. Assume equal-length comparison periods with matched weekday coverage, time zone, event and approval rules, attribution window and conversion maturity. Spend is USD; conversions are the same agreed event in both periods, not automatically FTDs or unique customers.
| Placement | Before: spend / events / CPA | After: spend / events / CPA |
|---|---|---|
| A | 600 / 30 / 20 | 600 / 30 / 20 |
| B | 400 / 10 / 40 | 400 / 10 / 40 |
| C (new) | Not running | 1,000 / 10 / 100 |
| All placements | 1,000 / 40 / 25 | 2,000 / 50 / 40 |
The original A+B group stays at USD 1,000 ÷ 40 = USD 25 per event. New placement C adds USD 1,000 for 10 events. Total CPA becomes USD 2,000 ÷ 50 = USD 40, a 60% increase. In this constructed example, the arithmetic difference comes from adding C; A and B have not worsened. It is not proof of what caused a real campaign change.
- Compare spend, events and CPA within the original placements. If their results also changed, investigate bids, creative, schedule and delivery changes before attributing everything to new traffic.
- Evaluate new traffic separately against the agreed event, quality evidence and cost limit. Higher CPA alone does not establish worse customer value.
- Record a maintain, pause or limited-test recommendation with its evidence, budget authority and review date. No fixed spend multiple or percentage increase works for every campaign.
James can review placement reports and available change history, then propose bid, pacing or test adjustments within the agreed scope. An incomplete conversion window or missing change log limits the conclusion.
Counts disagree? Start with the tracking example and worksheet.
Which placements should I keep, pause or test?
Start with the event you are buying and the evidence available at a fixed reporting cut-off. A low CPA can justify further investigation, but it does not establish approved income or customer value. Record what supports a decision and what would change it before approving more spend.
Hypothetical decision record, continuing the A/B/C teaching example above. These are proposed actions, not changes made to a client campaign. The tracked event is not assumed to be an FTD or a unique customer.
On narrow screens, scroll the tables sideways.
| Evidence at the cut-off | Proposed decision and reason | What would change the decision / owner |
|---|---|---|
| Existing A+B: USD 1,000 / 40 events = CPA 25 in both periods. Approved downstream value is unknown. | Maintain only the already authorised plan while reviewing quality. Stable measured CPA is not a reason to increase the budget. | Buyer checks each placement; operator or network supplies available accepted-event / approved-commission evidence. Reassess if the event definition, delay or quality changes. |
| New C: USD 1,000 / 10 events = CPA 100. Its addition lifts the total CPA from 25 to 40; A and B did not worsen in this example. | Hold further expansion of C. Check placement, bid, creative, event and reporting-window differences before treating the higher CPA as a lasting result. | Buyer owns the comparison. Comparable accepted outcomes and a documented test rationale are required before requesting extra spend; cheap clicks alone do not satisfy this condition. |
| C after the checks: whether a bid or creative change helps is still unknown. | Run one bounded test only after the budget owner approves the variable, maximum media spend, stop condition and review date. Otherwise keep the proposal unexecuted. | Buyer records the change and result; budget owner approves spend. Review after the agreed reporting delay, or earlier if tracking fails or the authorised spend limit is reached. |
When does a pause have enough support?
A pause can follow a pre-agreed spend or loss limit, or an inability to measure the test reliably. A performance-based pause needs comparable events and a mature reporting window. If only provisional tracker revenue is available, record that limitation rather than treating it as approved income. A measurement fault may justify stopping additional test spend while it is fixed; it does not prove the placement is fraudulent.
Copy this into your next placement review
On narrow screens, scroll the tables sideways.
| Record field | What to enter |
|---|---|
| Scope | Placement / source, market, offer, currency, event definition, cohort dates and reporting cut-off. |
| Evidence and unknowns | Spend, accepted event count, CPA, approved return if available, reporting delay and missing data. Keep estimates separate. |
| Decision and alternative explanation | Keep / watch / pause / propose test; why; what else could explain the result. |
| Authority and limits | Decision owner, approver, test variable, maximum spend and stop condition. No approval means no additional test spend. |
| Recheck | Agreed date or evidence trigger, responsible person, observed result and reason to maintain or change the decision. |
James can review available placement and change records, separate measurement gaps from testable buying questions, and document a proposed action with its limits. Platform fixes and unavailable operator data need the responsible team. Execution depends on the agreed scope and authority.
Use the Tracking Worksheet for unresolved reporting differences
Data and methodology
Data was obtained on 8 October 2026 through authenticated, read-only PropellerAds and RedTrack queries. PA reporting defaults to EST; the RT timezone and attribution date basis remain unverified. The 15-day windows have different weekday composition, and recent events may receive late postbacks. PA and RT costs and counts do not yet reconcile, so calculations stay within each source. Default RT events are not verified unique customers, first deposits or profit.
The placement report was reconciled by originating campaign: 587 placements total approximately 1,490.212 in RT cost and 1,676 default events, matching the campaign-level report apart from decimal aggregation differences. Brand names, campaign, placement and creative IDs, tracking URLs and personal information are omitted.
Report downloads are not shared through this portfolio.