
Ampd’s Agentic Shoppable Media eliminates shopper drop-offs with AI-powered deep linking, equitable retailer routing, and 5X conversion lifts for CPG brands.
The world of digital commerce has always operated under one nagging tension — the gap between a consumer seeing an advertisement and actually completing a purchase. For years, brands have poured billions into shoppable media campaigns only to watch shoppers abandon their journey midway, distracted by too many clicks, confusing redirects, and an experience that felt anything but seamless. That gap is now being addressed head-on. Seattle-based media technology company Ampd has officially announced the launch of its Agentic Shoppable Media solution, a first-to-market platform that uses agentic AI to automate the shopper journey from ad click to retailer Product Detail Page (PDP) in a single, frictionless step. For marketing leaders, commerce strategists, and brand managers keeping an eye on where technology and consumer behavior intersect, this announcement marks a turning point worth paying close attention to.
At GMA Council, where we continuously track the convergence of marketing technology and commerce innovation, this launch stands out not just as a product update, but as a philosophical shift in how brands should think about the relationship between media investment and commerce outcomes. Agentic AI is no longer a futuristic concept confined to enterprise data labs — it has arrived at the front lines of retail media, and it is already rewriting the rules of engagement.
To understand why Ampd’s launch is generating significant attention across the martech and commerce ecosystem, it is important to first reckon with just how broken the existing shoppable media experience has been. The premise of shoppable media was always sound — place a purchase-ready touchpoint inside an advertisement so that a motivated consumer can complete a transaction without navigating away. In theory, this should have shortened the buyer’s journey dramatically. In practice, it created an entirely new layer of friction that brands are still struggling to manage.
The data tells a sobering story. Shopper drop-off rates with traditional shoppable media solutions have reached as high as 95%, meaning that for every one hundred people who click on a shoppable ad, only five ever make it to the intended product page. That is an extraordinary loss of both media spend and commercial intent. The root cause is largely structural. Traditional where-to-buy solutions required shoppers to navigate through intermediary landing pages — often called “interstitials” — where they were prompted to choose a retailer before being redirected. Every additional click in a mobile-first shopping environment represents an opportunity for the consumer to lose interest, get distracted, or simply close the page. The result was massive bounce rates that rendered a significant portion of brand advertising spend effectively wasted.
Beyond the consumer experience problem, brands also faced a compliance headache. Many omnichannel brands operate under contractual obligations to maintain fair-share Gross Merchandise Value (GMV) allocations across their retail partners. This means that if a brand is selling through Amazon, Walmart, and Target simultaneously, it must demonstrate that its media-driven traffic is being distributed equitably among those partners. With traditional shoppable media tools, enforcing and evidencing this allocation was cumbersome, often manual, and open to dispute. Brands risked damaging their most critical retail relationships simply because the technology was not sophisticated enough to automate equitable routing at scale. It is within this context that Ampd’s new solution arrives — not just as an upgrade, but as a fundamental rethinking of the entire shoppable media infrastructure.
At its core, Ampd’s Agentic Shoppable Media solution works by deploying intelligent, real-time AI to replace the manual and multi-step processes that have historically defined shoppable media. Rather than sending a shopper to an interstitial page and asking them to select their preferred retailer, the system autonomously determines where to route that shopper based on data signals — and then executes that routing instantly. The result is a near-complete transfer of ad clicks directly to retailer PDPs, with the consumer landing logged-in, within their preferred app, and ready to complete a purchase in a single click.
The term “agentic” here is precise and intentional. Agentic AI refers to artificial intelligence that does not simply respond to instructions but actively takes actions on behalf of the user to complete a defined goal. In the context of shoppable media, this means the AI is not waiting for consumer input at every decision point — it is already making routing decisions in the background, invisibly and instantaneously, based on what it knows about the shopper’s retail preferences, geographic location, and behavioral history. This is a meaningful departure from rule-based automation, which required brands to pre-configure routing logic manually and could not adapt dynamically to individual consumer contexts.
From a brand’s operational standpoint, the shift is equally significant. Previously, managing shoppable campaigns across multiple retailers required creating and maintaining separate ad account builds for each retail partner. Ampd’s solution consolidates this into a single link that dynamically serves all retailers — meaning media agencies and in-house marketing operators can now build once and deploy everywhere. For large CPG brands running hundreds of concurrent campaigns across platforms like Meta, Google, TikTok, and Amazon, this represents a dramatic reduction in both operational complexity and the potential for human error.
Ampd’s Agentic Shoppable Media is built around four core capabilities, each designed to resolve a specific pain point that has historically plagued shoppable campaigns. Understanding these features in detail helps illustrate why this solution has the potential to become a new industry standard rather than just another incremental product update.
Intelligent Deep Linking is perhaps the most commercially impactful feature in the suite. This capability eliminates the interstitial page entirely by automatically launching the shopper’s preferred retailer app — whether that is Amazon, Walmart, Target, or another partner — directly from the ad. The shopper lands on the exact PDP for the advertised product, fully logged in and ready to purchase. Brands using this feature are projecting up to a 5X conversion lift compared to traditional shoppable media solutions, a figure that, if borne out at scale, would represent a transformational shift in return on ad spend (ROAS) calculations for the entire category.
Equitable Retailer Routing addresses the compliance challenge that has long complicated omnichannel brand strategies. Brands can now input their desired fair-share GMV allocations directly into the platform, and the agentic system will automatically route traffic in a manner consistent with those allocations while still maximising the probability that each individual shopper lands in their preferred retail ecosystem. Critically, the system also generates demonstrative evidence of adherence, giving brands a concrete audit trail they can present to retail partners to prove compliance. This removes a significant source of tension from brand-retailer relationships and allows marketing teams to focus on performance rather than administrative compliance.
Consolidated Ad Account Builds streamline the operational layer of shoppable campaign management. Instead of building separate creative and linking infrastructure for each retail partner, brands create a single link that the platform intelligently routes based on real-time consumer signals. This is particularly valuable for enterprise CPG brands managing complex, multi-market campaigns where the overhead of maintaining separate retailer-specific ad builds has historically consumed substantial agency and in-house resources.
Geo-Aware Logic extends the intelligence layer of the platform into the physical retail dimension. By incorporating the brick-and-mortar proximity of each shopper into the routing algorithm, Ampd ensures that consumers who are near a physical store location are directed toward that retailer’s experience, while those in areas dominated by a particular online retailer are routed accordingly. This geo-aware capability is especially relevant for brands that maintain strong relationships with regional grocery chains, pharmacy networks, or specialty retailers alongside their national e-commerce partnerships.
The reaction from within the industry has reflected both the novelty of the solution and the depth of the problem it is solving. Keith Lehman, Global Director of Digital Commerce at Colgate-Palmolive, offered a perspective that resonated broadly with brand-side stakeholders: the solution removes yet another click from the shopping journey and places consumers directly into their preferred shopping experience. By eliminating traditional friction, Ampd is delivering not only a superior seamless experience but also powerful lifts in conversion, media impact, and the bottom line.
The significance of this endorsement should not be underestimated. Colgate-Palmolive is one of the world’s largest CPG companies, operating across more than 200 countries with an enormous portfolio of consumer products sold through every major retail channel. When a brand of that scale commits to testing and validating a new commerce technology, it sends a signal to the broader market that the underlying problem is both real and commercially material.
From a broader martech landscape perspective, Ampd’s launch fits into a wider pattern of agentic AI making inroads across the marketing technology stack in 2026. IAB Tech Lab’s recent development of Agentic Advertising Management Protocols (AAMP) underscores that the industry as a whole is beginning to build the standardised infrastructure required to support AI agents operating autonomously within advertising ecosystems. Platforms like Google, Meta, TikTok, Amazon, and Walmart are all actively developing agentic layers within their advertising products, and solutions like Ampd’s Agentic Shoppable Media represent the early commercial fruits of that investment.
For GMA Council’s community of CMOs, growth leaders, and martech decision-makers, this moment represents an important inflection point. The brands that move quickly to integrate agentic commerce infrastructure into their media strategies will not only see near-term improvements in conversion rates but will also be building the data assets — shopper behavioral signals, retailer routing performance, attribution models — that compound in value over time. Early movers in agentic shoppable media will develop proprietary commerce intelligence that will be extraordinarily difficult for later adopters to replicate.
Stepping back from the product specifics, Ampd’s Agentic Shoppable Media launch invites a broader strategic conversation about where brand commerce is heading. For the past several years, the dominant narrative in retail media has been about the growth of first-party data and the rise of retail media networks. Brands have been investing heavily in sponsored products, display advertising, and search placements within retailer-owned ecosystems. This investment has driven enormous growth for platforms like Amazon Advertising and Walmart Connect, but it has also reinforced a somewhat siloed view of media performance — one where the value of advertising is measured primarily within the walls of individual retail platforms.
Agentic shoppable media challenges that paradigm by making offsite media — the advertising that happens on Google, Meta, TikTok, YouTube, and other publisher platforms outside of retailer ecosystems — a genuinely measurable and optimisable driver of retail commerce outcomes. When a brand can trace a click on a Meta ad directly to a purchase on a retailer’s PDP, with attribution that is deterministic rather than modelled, the strategic calculus of media investment changes fundamentally. Budgets that have migrated toward retail media networks precisely because they offered closed-loop attribution can now be justified across the full spectrum of digital media channels.
Deep link rates achieved through Agentic Shoppable Media are already tripling traditional where-to-buy benchmarks — and that metric, commonly used as a key indicator of commerce velocity, is one that CMOs and commerce directors will be watching closely as early adopters report results through 2026. The implication is that the conversation about brand media versus performance media, and about offsite versus onsite advertising, is about to become significantly more nuanced. Agentic AI does not just improve existing workflows — it restructures the underlying logic of how media investment translates into commercial outcomes.
As Ampd continues to expand its integrations — currently operating across Google, Facebook, Instagram, TikTok, Amazon, and Walmart, with YouTube and Target integrations in development — the potential addressable market for agentic shoppable solutions grows considerably. For the GMA Council ecosystem of brands, agencies, and technology platforms, the strategic implication is clear: agentic commerce is not a distant horizon. It is the present competitive frontier, and the decisions that marketing and commerce leaders make in the next twelve to eighteen months will determine which brands emerge as the definitive winners of the next era of retail media.