The Datavations Method captures every transaction at every store, every day. Panel data samples households. The gap shows up in every merchant meeting, and on every PLR scorecard.
Live now
Every retailer, every SKU, every store, every day. The Datavations Method runs continuously across 11,936+ store locations.
The Datavations Method
100%
every transaction, every SKU, every store
Panel and receipt data
0.2%
of national transactions sampled
Dont guess the rest, Panels see a sliver.
Datavations sees the whole store.
Panel limit: Panel samples can't pinpoint which stores are in a test. They estimate from a sample.
Datavations: Store Cohorts. Tag test vs. control stores, track incrementality through every distribution wave.
A kitchen products manufacturer used Custom Cohorts to win a Lowe's branded-bay planogram debate, $10M revenue uplift.See it in Measure →
Panel limit: Sales-per-store math requires store-derived data. Panels estimate from household receipts.
Datavations: Sales per Store and Sales per Point of Distribution.
A building materials supplier used SKU-level velocity to grow Lowe's market share from 16% to 20% in a previously under-indexed category.See it in Assortment Optimization →
Panel limit: Household panels never capture a contractor buying 50 rolls of insulation for a job site.
Datavations: Pro transaction capture in pro-heavy categories.
Insulation, building materials, and pro-fastener brands rely on Datavations exclusively. Their volumes are systematically undercounted by panel methods.See it in Customer Solutions →
Panel limit: ASP averages away the signal. You can't tell a sales-mix shift from a price change.
Datavations: Min and max price by store, promotional flags, elasticity modeling.
A caulk and sealant brand pinpointed that an 8% price reduction on a 14oz SKU caused a $330K revenue loss. Invisible to ASP-only data.See it in Price Optimization →
Panel limit: Panel data has no inventory signal. Stockouts, OOS, replenishment rates are all invisible.
Datavations: Per-store stockout ratio, lost sales due to OOS, inventory turn, on-hand quantity.
An insulation manufacturer documented a competitor's Texas supply-chain failure, secured a spot buy, added $660K at Lowe's and a 3% market share bump at Home Depot.See it in Inventory Optimization →
Panel limit: Panels have a frequency floor. Lower-volume SKUs vanish below the cutoff.
Datavations: Long-tail SKU accuracy across every SKU in every store, every day.
An abrasives manufacturer used grit-attribute analysis to identify a 15-pack disc white space, sized at $1.6M annual retail revenue.See it in Assortment Optimization →
Every one of these maps to a decision you make with a retail merchant. This isn't about more data; it's about the right data for the conversations that matter.
| Capability | Datavations | Panel (Yipit, Numerator, etc.) |
|---|---|---|
| Per-store, per-SKU sales | Daily, every store | Modeled estimates |
| Identify and measure store tests | Store Cohorts | Not measured |
| Sales per Store and Sales per POD | Native | Not available |
| Apples-to-apples SKU comparison | AI-linked, structural | Limited |
| Pro-channel transaction capture | Yes | Not measured (consumer panels only) |
| Min, max, and actual price by store | Yes | ASP only |
| Promotional flags and elasticity | Yes | Limited |
| Per-store inventory and stockouts | Yes, Real time alerts | Not measured |
| Long-tail SKU visibility | Full SKU list | Cuts off below frequency floor |
| Contractual accuracy guarantee | Yes, weekly backtests | None |
The Accuracy Guarantee
Because we source directly from retailer-published data, we can validate our modeled sales against ground truth, store by store, SKU by SKU. Every month (or every week, if you prefer), you receive a backtesting accuracy report. Live customer environments consistently see less than 3% variance to retailer-internal numbers. If we're materially off, we refund the month. In writing. In the contract.
Ask any panel provider to put their accuracy in writing. They can't, because they're modeling from a sample.
This is really the stuff we've never been able to get before.
Datavations is built specifically for the merchants and merchandisers driving building materials and home improvement. Every metric, every report, every drill-down is engineered for the categories you live in: hardware, plumbing, paint, flooring, fasteners, adhesives, abrasives, and the rest of the channel. Numerator, Yipit, and other panel providers spread broad and shallow across every industry. We go deep on one. The result: insights your merchant recognizes on first read, in the shape they already use, with the granularity their planogram demands.
You backtest us, on a cadence you choose. Because our data is sourced from retailer-published signals, our outputs can be validated directly against your internal POS, store by store, SKU by SKU. Pick monthly, quarterly, or whatever rhythm your team wants. Live customer environments consistently see less than 3% variance against retailer-internal numbers. If we’re ever materially off in any month, we refund that month’s subscription. The clause is in the contract. No other provider in this market puts that in writing, because no other provider can stand up to that kind of independent backtest.
Numerator was directional only, not quantitative enough for the velocity comparisons we needed. Store-level transaction data is what merchants actually want.
Standard coverage runs across our hallmark retailers: The Home Depot, Lowe’s, Menards, Ace Hardware, and Tractor Supply. Plus full Pro-channel depth at Ferguson and other wholesale and dealer retailers your trade-customer relationships actually touch. Categories: building materials, hardware, plumbing, paint, flooring, fasteners, abrasives, adhesives, and the adjacent home-improvement lines. If your category or retailer isn’t on the standard list, a 30-minute scoping call can confirm feasibility before any commitment.
30 minutes. Walk through real per-store, per-SKU data in a category you care about. We'll show you what panels miss.
See your category's data
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