Walmart Connect negative keyword controls launch to refine sponsored ad targeting

The introduction of negative keyword controls brings Walmart's retail media offering closer to the sophisticated targeting standards of Google and Amazon. For streaming advertisers and brands within the Walmart ecosystem, this provides the granular control necessary to optimize conversion rates and reduce wasted impressions on non-intent queries. As retail media networks increasingly compete for performance-driven budgets, these technical refinements are essential for maintaining platform competitiveness. The broader trend of data consolidation is also evident in Experian’s absorption of Audigent, signaling a move toward unified identity and curation stacks. Watch for Walmart to report changes in return on ad spend metrics as these precision tools gain wider adoption among its partner agencies.

Walmart Connect's move to add negative keyword controls reflects a broader competitive dynamic among retail media networks seeking feature parity with Amazon and Google. Amazon's Sponsored Products platform has offered negative keyword targeting since at least 2020, and Amazon Ads reported in Q1 2026 that its advertising segment generated $13.9 billion in revenue, up 19% year-over-year, underscoring the scale advantage that forces rivals like Walmart Connect to close capability gaps. Walmart Connect ad growth hits 38% as Vibe.co integration begins, according to the company's earnings disclosures, making it the second-largest retail media network in the United States behind Amazon. The negative keyword feature, available through the Walmart Connect Ad Center and third-party tools like Pacvue and Skai, directly addresses advertiser complaints about wasted spend on irrelevant search queries that have historically required manual campaign adjustments. The integration of Experian's Audigent brand into its broader marketing services division signals consolidation in the identity and data layer that underpins retail media targeting. Experian acquired Audigent in December 2024, adding the startup's first-party publisher data and inventory network to its existing demand-side capabilities, creating a unified identity resolution and audience curation stack that competes with LiveRamp and The Trade Desk's UID2 ecosystem. Audigent brought more than 4 billion first-party IDs and a device graph exceeding 13.3 billion records, according to MediaPost's coverage of the deal, which noted that Audigent CEO Drew Stein remained as managing director. This consolidation matters for retail media networks because clean room partnerships and identity interoperability are becoming prerequisites for cross-platform campaign measurement. Walmart Connect has historically relied on first-party purchase data and partnerships with The Trade Desk for off-site targeting, but the Audigent-Experian combination creates a new third-party option for advertisers seeking to activate retail media audiences across channels without direct platform dependencies. Apple's development of a proprietary large language model for the Chinese market, built with Alibaba's Qwen architecture, represents a different but related trend of platform owners building AI capabilities in-house rather than relying on third-party providers. , according to reporting from Bloomberg. For the advertising and streaming ecosystem, this signals that major platforms are increasingly building proprietary AI for content recommendation, ad targeting, and personalization rather than licensing external models. The same logic applies to retail media: Walmart Connect's investment in and granular targeting controls like negative keywords is part of a broader industry pattern where platforms build proprietary optimization tools to reduce dependence on third-party ad tech intermediaries and improve advertiser retention.