Hallowell Home spent approximately $424,000 per month across six paid channels: Meta, non-brand Google Search, branded search, retargeting, TikTok and YouTube. Blended return on ad spend, as reported by the platforms' own attribution, was 3.6× — and the growth plan extrapolated that figure linearly.
Platform attribution assigns credit to the advertisement closest to the sale. Two channels benefit structurally from that convention: branded search, which captures customers already searching for the company by name, and retargeting, which reaches customers already on the site. Together they held 38% of the budget.
The company ran two geographic holdout experiments — switching each channel off in matched markets and measuring what sales actually did against a pre-period baseline.
Branded search: reported 5.0×, measured 0.87× [95% CI 0.65–1.09]. Retargeting: reported 3.9×, measured 0.32× [0.07–0.57]. Both were predominantly harvesting demand created elsewhere. The mirror error also surfaced: YouTube, held at 6% of budget, reported 1.8× under last-click while the calibrated model estimated its true return near 3.0×.
The statistical model alone illustrated a further point: uncalibrated, it fitted two years of weekly data well (R² 0.94) while producing channel estimates that diverged badly from experimental results on smaller, correlated channels. Estimates were therefore anchored to the experiments, and untested channels carried no decision authority pending a testing rotation.
| Measure | Before | After |
|---|---|---|
| Net revenue (TTM) | $15.6M | $17.5M (+12.1%) |
| Media spend | $5.09M | $5.05M (−0.7%) |
| Measured blended return | 2.01× | 2.30× |
| Harvest-channel share of budget | 38% | 14% |
Revenue rose $1.9M on an unchanged budget — roughly $0.8M of contribution profit at the company's margin structure. Reallocation on a genuinely flat budget produced low-teens growth, a realistic ceiling at prevailing saturation levels and materially below what a linear reading of platform figures had implied. The saturation analysis also showed the media program near its efficient frontier, informing a decision to direct incremental capital to creative development, new channels and conversion improvement rather than more spend on existing channels.
Additional annual contribution profit on 19% less ad spend
Customer lifetime value in twelve months
Additional gross profit from the same 40,000 customers
A year of ineffective discounting, identified and eliminated
Increase in ARR in twelve months
Net revenue retention in twelve months
Additional annual contribution profit on 19% less ad spend
Customer lifetime value in twelve months
Additional gross profit from the same 40,000 customers
A year of ineffective discounting, identified and eliminated
Increase in ARR in twelve months
Net revenue retention in twelve months