Lever Factor measures the true causal impact of every pricing change, advertising decision, and listing update. Built for sellers on Amazon today, expanding to Shopify, Meta, Google, and TikTok Shop next.
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 |
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.
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.
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?
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.
All plans include daily data sync, unlimited analyses, and event logging.
Open the demo to explore a real dataset with 1,267 days of ASIN-level data and 33 logged events.