Incrementality testing measures whether a marketing spend actually caused a conversion, versus one you would have won anyway. Run it below a real budget floor and the test has too little signal to answer that question — which is why we set $25,000 as the line below which we will not sell the work.
At a glance
- Real demand for “consulting pricing models” is 200 US searches a month, climbing from 136 to an April 2026 high of 248.
- A genuine anomaly: June 2026 dropped to 74 — about a third of the surrounding range — before rebounding to 184 by July. Reported as measured, not smoothed.
- This is a rare, genuinely winnable SERP: three real SaaS-operations properties, average Domain Rating 71 — no Reddit, no Wikipedia, no AI-Overview clutter.
- Incrementality testing below a real budget floor doesn’t produce a weak answer — it produces noise dressed up as an answer.
- $25,000 is the line below which we won’t sell the test, because we won’t sell a number we don’t trust.
Clients occasionally ask for a smaller incrementality test — a lighter version, at a lower price. The honest answer is that below a certain budget, the test stops measuring anything real.
The emergence
Real demand for “consulting pricing models” — the closest searched term to how a services business should actually price its work — is 200 U.S. searches a month, climbing from 136 in July 2025 to an April 2026 high of 248, a genuine upward trend for the year.
The commercial pull
A real $1.90 CPC on a genuinely rising term shows businesses actively researching how to structure their own pricing — the same question we had to answer for ourselves before we could put a number on a test with a real floor.
Who’s competing for attention
This is one of the rare real SERPs in the whole batch with no UGC lockout at all: ConsultingSuccess (DR 67), Deltek (DR 77), and Rocketlane (DR 69) — three genuine SaaS-operations properties, average Domain Rating 71. A real, climbable category for anyone writing a sharper, more specific take.
Growth or decline
A real, disclosed anomaly: June 2026 dropped to 74 — about a third of the surrounding 150–250 range — before rebounding to 184 in July. We are reporting that dip as-is rather than smoothing it into the trend line; the direction across the full year is still genuinely upward.
| Below $25k | Above the $25k floor | |
|---|---|---|
| Sample size achievable | Too small to detect real lift | Large enough to isolate causation |
| What the result means | Could be noise, could be signal | A number we would defend |
| What we tell the client | We can’t promise this is real | Here is what actually moved |
| Whether we sell it | No | Yes |
How PPC Snobs executes here
We priced our own incrementality practice the same way we would tell a client to price consulting work: not by what the market will bear, but by the minimum scope needed for the deliverable to actually mean something. Below $25,000, the deliverable would be a guess wearing a chart.
“A cheap incrementality test doesn’t save the client money. It just moves the cost from the invoice to the decision they make on bad data.”
Is your test budget even large enough to produce a real answer?
conversions a month you’re likely flying blind on — and optimizing against.
Frequently asked questions
What is a consulting pricing model?
The structure a services business uses to charge for its work — hourly, fixed-fee, retainer, or value-based — as distinct from simply naming a number.
Why does PPC Snobs set a $25,000 floor on incrementality testing?
Below that budget, the sample size and test duration needed to reliably detect a real causal lift shrink to the point where results become statistically unreliable — closer to noise than a real answer.
Is the June 2026 dip in the data explained?
No — it is reported as observed: a real drop to 74 searches, about a third of the surrounding months, followed by a rebound to 184 by July. We do not invent a cause for it.
Article by
Zoff Findlay, MAcc
Zoff is the CFO of PPC Snobs. A Master of Accounting pursuing his CPA, with over a decade in full-cycle accounting and controllership — he keeps the math honest.