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Table Table 2 Go-to-market & pricing

The measurement, and the traps it must survive

Four steps that make the exposed-versus-untouched split mean something: an exposure tag set before close, no revenue ranking, a placebo split that must come back quiet, and enough accounts that the answer is not noise.

StepWhat it guards againstWhat the seeded simulation shows
Tag integration exposure per account, before closeWithout the tag, any later comparison is folkloreNot a field in any system; an afternoon to reconstruct
Never rank on pre-close revenueRegression to the mean, read as damageThe top decile of 400 accounts reads −15.1 pp with no effect present, in 73% of runs
Run the placebo split firstA measurement that alarms on random halvesRandom halves recover the true noise floor at every spread tested (0.20, 0.45, 0.80)
Respect the base-size floorTwenty-point swings that mean nothing95% noise range: −33.1/+34.2 pp at 100 accounts, −24.2/+24.4 at 200

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Cite Embed

Reference & Evidence

Source: integration-exposure-null.py: 400 accounts, 2,000 trials, seed 20260807; published beside the pair's claim ledger and reproduces bit for bit. Author's own design; the simulated numbers are the null, not a finding about any deal.