PPC diagnosis · Synthetic example
How to explain rising ad spend and falling revenue.
Start with the measured gap. Then separate possible explanations from what the report actually proves. That gives the client a useful plan without presenting a guess as a finding.
Calculate the gap before writing the explanation
The synthetic benchmark report (PDF, page 1) provides both comparison periods. Spend went from $18,400 in August to $20,700 in September, a $2,300 increase. Dividing $2,300 by the August value gives 12.5%. Tracked revenue went from $123,000 to $105,400, a $17,600 decline; $17,600 divided by $123,000 is about 14.3%. These are different measures, so the paired movement is a problem to investigate, not a causal calculation.
| Reported measure | August | September | Reading |
|---|---|---|---|
| Ad spend | $18,400 | $20,700 | +12.5% |
| Tracked revenue | $123,000 | $105,400 | −14.3% rounded |
| Leads | 428 | 401 | −27 |
| Cost per lead | $42.99 | $51.62 | +$8.63 |
| Closed customers | 41 | 34 | −7 |
Use wording that matches the evidence
A claim to hold back
“Audience fatigue caused the revenue decline.” The report suggested this as one possibility, but its table and notes do not establish it. The same caution applies to weaker ad creative.
A source-backed client statement
“In September, spend increased while tracked revenue, leads, and closed customers declined. We have not established the cause from this report. We will check campaign, device, and traffic-source patterns before deciding what changed.”
That second statement tells the client what is known, what remains open, and what the team will investigate. It avoids claiming that the lead decline caused the revenue decline or that the landing page was responsible.
A practical diagnostic sequence
- Verify the comparison. Confirm the same date ranges, currency, attribution settings, and conversion definitions were used in both periods. If a definition changed, annotate the comparison before interpreting it.
- Locate the change. Break the landing-page conversion decline from 8.9% to 7.1% out by device, campaign, and traffic source. Use those source systems as follow-up evidence; the benchmark PDF does not contain that breakdown.
- Check tracking and sales handoff. Compare analytics events, lead quality, opportunity stage, and closed-customer counts. A reporting gap or lag can alter the meaning of tracked revenue.
- Evaluate hypotheses one at a time. Test creative fatigue, audience mix, landing-page performance, and attribution changes against new evidence. Record which checks support or weaken each idea.
- Approve the client explanation. Keep “unresolved” visible until the team has evidence strong enough to change it.
What this report cannot settle
The benchmark PDF contains summary metrics, not campaign-level diagnostics or a controlled causal test. It supports the direction and size of the reported changes. It cannot establish why they occurred, whether the advertising itself changed customer behavior, or whether tracking captured every sale.
Related guides
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