Circana’s Complete Why Gives Walmart Suppliers a Driver-Level Answer for the JBP Table

Most category review conversations go one of two ways. A supplier comes in with a driver story: here is what moved our volume, here is what the promotion actually contributed net of baseline, here is what the competitive environment did to our numbers in specific store clusters. Or a supplier comes in with a trend line and waits to see what questions the buyer asks. The gap between those two postures is widening, because Walmart’s own data environment is getting more precise at exactly the moment when external noise (tariff-driven pricing shifts, competitive promotional activity, weather-related demand swings) is making performance harder to read cleanly.

Circana’s launch of Complete Why on March 4 addresses that gap directly, built for the supplier side. The platform uses AI-enabled, store- and week-level statistical modeling to diagnose and quantify the contributions of up to 60 distinct drivers of sales performance per product and market, covering price, promotions, distribution, competitive activity, economic conditions, and weather. It runs inside Circana’s Unify+ platform and is continuously refreshed with current POS data. For suppliers who sell through Walmart, the case for this tool is less about what it does in isolation and more about what it does relative to what Walmart’s own analytics can now surface.

Walmart’s Analytical Environment Is Getting More Precise

In October 2025, Walmart Data Ventures announced new capabilities coming to Scintilla, including an AI-powered intelligence tool described by Mark Hardy, senior vice president of Walmart Data Ventures, as helping suppliers “understand key metrics and how to interpret them for their business.” In February 2026, Walmart introduced Scintilla In-Store, a rebuilt platform (formerly known as Volt) that puts real-time inventory signals, modular compliance data, and execution metrics into a single app for supplier field representatives. Scintilla In-Store is designed to connect shelf execution to sales outcomes, giving both supplier teams and Walmart’s own category managers a tighter read on whether a volume trend reflects demand or a distribution or execution variable.

The cumulative picture is an analytical environment in which a well-prepared Walmart buyer can increasingly distinguish between a promotion that genuinely shifted demand and one that captured volume that would have come anyway. They can see whether a velocity decline in a given region traces to a competitor’s pricing action or to a gap in in-store execution. For supplier teams preparing for line reviews, JBP conversations, or quarterly business planning sessions, that means the bar for what constitutes a credible performance narrative is higher than it was two years ago.

Complete Why is designed to give suppliers the counterpart capability at scale. According to Circana’s press release, the platform processes trillions of data points and its statistical models are built to mitigate aggregation bias, the distortion that occurs when chain- or category-level averages conceal what is happening in individual stores or weeks. Patty Altman, president of Global Solutions for Circana, described the platform as one that “fundamentally changes how companies evaluate performance and empowers them to make smarter, more agile decisions.” At the store and week level, that means a supplier can arrive at a Walmart conversation with a decomposed view of their own results, not a directional summary.

Tariff-Era Pricing Has Made the Analytical Problem Harder

There is a specific reason 2026 is a particularly difficult year to read performance without driver-level analysis. Pantheon Macroeconomics noted in a February 2026 research note, as reported by CBS News, that businesses had passed only about half of their tariff-related costs on to consumers by the end of 2025, with further price increases expected into early 2026. The Yale Budget Lab reported the average U.S. tariff rate as of mid-January 2026 at 16.9%, the highest level since 1932. Walmart CFO John David Rainey, on the Q4 FY2026 earnings call, signaled that Walmart would continue leaning into everyday low prices, noting that supplier commentary focused on lower prices “plays to our value proposition.”

For a supplier in that environment, a softening unit velocity trend is genuinely ambiguous. It could reflect demand weakness. It could reflect a price-point adjustment that compressed volume in elastic segments. It could reflect a competitor’s temporary promotion or an out-of-stock situation at a cluster of stores. Each of those explanations carries a different implication for what the supplier should do next, and each leads to a different conversation with the buyer. Presenting a flat trend line and letting the buyer interpret it cedes the analytical narrative to whoever in the room has the most precise data.

Complete Why’s driver coverage of external variables, including economic conditions and weather alongside the standard price, promotion, and distribution variables, is particularly relevant in this context. The tariff cycle that began in spring 2025 pushed pricing adjustments across many categories simultaneously. A supplier trying to evaluate whether their subsequent performance represents a durable demand signal or an elasticity effect sitting on top of macro-driven volume compression needs the kind of driver separation that panel-level or chain-level data cannot reliably provide.

Where Supplier Teams Can Put This to Work at Walmart

The most immediate application is promotional post-event analysis tied to Walmart Connect. Walmart Connect grew 41% in FY2026, per Walmart’s Q4 earnings release, which means more suppliers are running coordinated campaigns that layer Sponsored Products, Sponsored Brands, or Sponsored Video spend on top of in-store trade mechanics. Walmart Connect’s closed-loop measurement connects ad spend to in-store and online sales results. What it does not automatically separate is the promotional baseline from genuine ad-driven incrementality when both are running simultaneously alongside a distribution change or a competitor’s pricing move. Complete Why’s store- and week-level driver decomposition addresses exactly that separation. A supplier who can demonstrate to their buyer that their Connect-attributed lift was incremental to baseline, net of a competitive tailwind in a specific region, is making a more credible investment case than one presenting aggregate return figures.

Distribution and velocity conversations are a second application. When a supplier gains distribution at Walmart through new stores, a modular reset, or expanded facings, the resulting velocity increase can look like demand growth when some or most of it is mechanically distribution-driven. Scintilla’s Channel Performance reporting shows where you are gaining or losing velocity at the item level. Complete Why adds the decomposition layer that quantifies how much of that velocity shift is attributable to distribution versus underlying demand versus external factors. That distinction matters when a supplier is making the case for expanded placement in a category review or defending a velocity decline that followed a modular reduction.

For 1P teams preparing category reviews, the third application is the most strategically significant. Walmart buyers expect suppliers to bring a category-level view, not just a brand-level story. A supplier who can show, at store-level granularity, why a category moved in a given quarter, which competitive price points demonstrated elasticity, and which segments held despite external headwinds is operating at a different level than one presenting chain averages. The 60-variable architecture of Complete Why, including weather and economic conditions alongside standard commercial drivers, gives category teams the raw material to build that kind of narrative before the meeting, not reconstruct it afterward.

What This Means for Marketplace Sellers

The Complete Why framework maps most naturally to 1P selling, where POS-driven, store-level analysis of distribution, promotional mechanics, and competitive shelf dynamics is the relevant analytical terrain. For brands operating primarily in the 3P Marketplace, whether through WFS, Collect, or Prepaid fulfillment, performance drivers are structured differently. Buy Box mechanics, listing content quality scores in Seller Center, competitive pricing algorithms, and digital shelf visibility shape Marketplace outcomes in ways that physical POS decomposition does not capture.

For those teams, Scintilla’s Digital Landscapes module is the more directly applicable tool. Walmart Data Ventures updated Digital Landscapes in January 2026 to provide deeper end-to-end visibility into how Walmart shoppers discover, engage with, and convert on items online. Suppliers running both a 1P and a 3P business can treat the two capabilities as complementary inputs into the same annual planning process: Complete Why informing the in-store category conversation with the buyer, Digital Landscapes informing the digital shelf and Marketplace performance story.

Supplier Fluency Is Now Part of the Performance Bar

Walmart’s sustained investment in Scintilla, Scintilla In-Store, and the AI-powered intelligence tools coming to the platform reflects a consistent direction. The data environment available to Walmart’s buyers and category managers keeps getting more granular and more current. Complete Why gives supplier teams the capability to meet that standard at the store and week level, covering the external variables that have made 2025 and 2026 performance especially difficult to interpret cleanly.

The suppliers who benefit most will not be the ones who pull it up when a difficult question surfaces in a review. They will be the ones who use it to build a rigorous driver story before the category review, the JBP session, or the Connect budget conversation, and who arrive already knowing what the data says about why their numbers moved.

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