Lever Factor gives every action an impact score, based on the revenue it generated. No tracking, no pixels, not just ads.
They follow clicks, cookies and pixels. They can only measure what can be tracked, which means ads. When tracking breaks, so does the answer.
It reads the outcome, not the user. Price changes, listing updates, stock levels, campaigns, seasonality. Everything that moves revenue gets measured, and scored from 0 to 10.
Half of what moves your revenue was never trackable. We measure it anyway.
Connect once. Log what you do. Get causal attribution on every dollar of revenue change.
OAuth login to Amazon Seller Central pulls in revenue, sessions, units, ad spend, and 18 more metrics. Syncs daily, per ASIN, automatically.
One click logging from the dashboard whenever you change a price, launch a campaign, update a listing, or restock inventory. Each event becomes a candidate cause.
The causal engine builds a counterfactual baseline and attributes every revenue change to the specific actions that caused it. Each scored 0 to 10.
Was it the price reduction on week 2? The new keyword targeting? The lifestyle photos? A competitor stockout? Or did the category just have a seasonal spike?
Most sellers attribute revenue to whatever action happened most recently. This is wrong, and it costs money in two ways: spending on actions that do not work, and abandoning actions that actually do.
Every time you open Lever Factor, you see the single action that drove the most revenue change in the period, with its LF Score and contribution percentage.
The Lever Factor is the action with the highest causal contribution to your revenue change. It is calculated using a counterfactual baseline that asks the right question: what would have happened if you had done nothing?
Track 22 metrics per ASIN, daily. Sort by any column, filter by account or product family.
| SKU | Sessions | CVR | Total sales | PPC sales | PPC spend | ACoS | TACoS | ROAS | CPC | Profit/unit |
|---|---|---|---|---|---|---|---|---|---|---|
| A001_USB_CABLE | 76.4K | 24.2% | $486K | $148K | $42.3K | 28.6% | 8.7% | 3.50x | $0.42 | $3.18 |
| B001_SPATULA_SET | 54.2K | 22.1% | $382K | $112K | $38.8K | 34.6% | 10.2% | 2.89x | $0.51 | $4.92 |
| B004_BAMBOO_BOARD | 41.8K | 19.4% | $298K | $94.5K | $31.2K | 33.0% | 10.5% | 3.03x | $0.48 | $7.14 |
| A002_WIRELESS_CHG | 32.6K | 18.7% | $245K | $78.3K | $28.6K | 36.5% | 11.7% | 2.74x | $0.62 | $8.45 |
| B002_GLASS_PREP | 24.1K | 16.3% | $186K | $58.7K | $24.2K | 41.2% | 13.0% | 2.43x | $0.71 | $11.20 |
| B003_CAST_IRON | 22.8K | 16.8% | $164K | $52.1K | $21.4K | 41.1% | 13.0% | 2.43x | $0.69 | $12.50 |
| A003_PHONE_STAND | 30.6K | 20.5% | $98K | $34.2K | $13.8K | 40.4% | 14.1% | 2.48x | $0.45 | $4.21 |
Pick a date range, hit Run analysis. See every factor that contributed, ranked by LF Score, with statistical confidence on each one.
Revenue, sessions, units, ad spend, ACoS, ROAS, CVR, CTR, Buy Box percentage, BSR rank, rating, inventory, and more. All selectable, all overlay-able. Event markers show exactly when each logged action happened.
Every event you logged in the period gets its own row, scored by impact and confidence. The Hidden Lever flag appears when more than 10 percent of the change cannot be explained, telling you something happened that was not logged.
Lever Factor processes daily ASIN-level data and applies causal models that account for seasonality, competition, and inventory effects.
Start with a free 14-day demo on your own account. Every plan gives each action an LF Score.
*Usage limits apply. See the FAQ for details.
Start freeOpen the demo to explore a real dataset with 1,267 days of ASIN-level data and 33 logged events.