ProfitFalcon ProfitFalcon vs BeProfit
Both compute store profit from your data. The difference is what happens after the number appears: BeProfit reports it, and ProfitFalcon shows the arithmetic that produced it and then scores its own recommendations against what actually happened.
| ProfitFalcon | BeProfit | |
|---|---|---|
| Approach | Computes unit economics from your store exports — Python runs the math, every number traceable | Profit and expense dashboards built on connected store and ad data |
| Verifiability | Formula shown for every KPI — open any figure and read the arithmetic | Dashboard metrics; methodology managed by the platform |
| Recommendations | Deterministic playbooks queue the moves worth making; nothing executes without your approval | Reporting and simulators — you choose the inputs and draw your own conclusions |
| Scored against outcomes | Yes — every approved recommendation records what we projected, then the next export re-measures the same metric and the ledger keeps both | |
| Predictions | Kept, then compared to the measured result and shown either way — including the misses | Predicted Costs estimates returns and fees, and their page says the real numbers replace them; no predicted-vs-actual figure is reported |
| Pricing | Banded by order volume, and the band is the whole bill — no per-order surcharges and no overage billing | $49 / $99 / $149 / $249, capped at 450 / 900 / 1,700 / unlimited orders; one store below the top tier |
| Free tier | Free plan, no card | 14-day trial; no free plan |
| Best for | Operators who want to audit the math and hold the tool to its own advice | Operators who want profit and expense reporting across connected sources |
When BeProfit is the better pick
- You want expense tracking breadth — custom operational and fulfilment cost rules across many sources.
- You are under 450 orders a month and their entry tier fits.
- You want reporting only, and would rather draw your own conclusions than be handed a queue of moves.
When ProfitFalcon is the better pick
- You want to audit the math — every KPI ships with the formula that produced it, and a SQL console to check it against your own rows.
- You want the tool to be accountable for its advice: what it projected, what actually happened, and the misses left in.
- You are past a few hundred orders a month and want the price to stop climbing with volume.
Why the accountability row is empty on their side
We looked for it. BeProfit publishes no back-test, no holdout, and no accuracy or hit-rate figure on any recommendation — and it makes few recommendations to begin with, which is a reasonable product choice rather than a flaw. The closest thing is Predicted Costs, which estimates returns and fees so today's orders carry a profit number before the actuals land. Their own page says the real numbers replace the estimates. That is the one place a prediction meets reality in their product, and the difference between the two is not reported.
We are not claiming they are wrong. We are claiming that nobody in this category shows you whether their advice worked, and that a tool which tells you what to do should be willing to be graded on it. That is the row above, and it is the only one on this page we would call a moat.
See your SKU truth in one upload
Drop an export, get contribution margin, LTV, and per-SKU profit — computed, with the math shown.
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