The Future of Performance Marketing Beyond Clicks and Conversions

Industry & Competitive Context

Performance marketing emerged over the past two decades as a discipline built on a simple premise: every dollar spent could be tracked to a click, and every click could be tracked to a conversion. This architecture depended on two technical foundations third-party cookies for cross-site tracking on the open web, and mobile device identifiers (such as Apple’s IDFA) for tracking inside apps. Both foundations have been materially weakened over the past five years, forcing a rethink of how marketing effectiveness is measured and managed at the industry level.

The disruption began in earnest in 2020 and 2021, when Apple introduced App Tracking Transparency (ATT), requiring apps to obtain explicit user consent before accessing the device identifier used for ad targeting and measurement. In parallel, Google announced plans, first floated in 2019, to phase out third-party cookies in Chrome, the browser used by the majority of the world’s internet traffic. These two moves, taken together, threatened to dismantle the measurement infrastructure that performance marketing had been built on for fifteen years.

What followed was not a clean transition to a new measurement standard but a prolonged period of industry uncertainty. Google delayed its cookie deprecation timeline multiple times first targeting 2022, then late 2024, then mid-2025 before reversing course entirely. On April 22, 2025, Google’s Privacy Sandbox Vice President Anthony Chavez confirmed that Chrome would not introduce a new standalone consent prompt for third-party cookies and would instead maintain its existing approach, in which cookies remain available by default and users can disable them manually in browser settings. This reversal ended a five-year saga and left third-party cookies operative in the browser that still carries the largest share of global web traffic, even as Safari, Firefox, and Brave continue to block them by default.

Apple’s ATT changes, by contrast, were implemented and have remained in force since 2021, with measurable consequences disclosed by major platforms. Meta’s Chief Financial Officer, Dave Wehner, told analysts on the company’s fourth-quarter 2021 earnings call that Apple’s privacy changes were expected to reduce Meta’s 2022 revenue by approximately ten billion dollars, a disclosure that was followed by a stock decline of roughly twenty-six percent in a single trading session. This was among the most concrete, publicly disclosed figures of how identity-based targeting restrictions translate directly into advertiser and platform economics.

Against this backdrop, a parallel structural shift has been reshaping where performance marketing dollars actually go: the rise of retail media. According to eMarketer’s H1 2026 Retail Media Ad Spending Forecast, US advertisers are projected to spend sixty-nine point three three billion dollars on retail media in 2026, up from fifty-eight point seven nine billion dollars in 2025, a year-over-year increase of 17.9 percent. WPP Media’s December 2025 estimate placed global retail media spend above one hundred fifty billion dollars for 2026. Notably, eMarketer’s analysis found that of the ten point five three billion dollars in incremental US retail media spending expected in 2026, nine point four two billion dollars more than eighty-nine percent is going to just two companies, Amazon Ads and Walmart Connect, indicating a market that is both growing rapidly and consolidating around a small number of dominant players.

Brand Situation Prior to the Shift

For much of the 2010s, large consumer brands, including Procter & Gamble, built increasingly sophisticated digital targeting and attribution infrastructure, treating last-click and multi-touch attribution models as the primary tools for allocating marketing budgets across channels. Procter & Gamble’s Chief Brand Officer, Marc Pritchard, described this period publicly as a move from “mass blasting” ad campaigns toward one-to-one, data-driven targeting, supported by the company’s own data management platform, which the company stated contained anonymized audience data covering roughly ninety percent of the U.S. population and more than one billion consumer identifications globally.

This infrastructure delivered efficiency gains but also created a structural blind spot: last-click and last-touch attribution systems systematically favor channels and tactics that are easy to measure at the point of conversion primarily paid search and lower-funnel paid social while undervaluing upper-funnel brand-building activity whose effects are diffuse and delayed. Industry analysis published by outlets including Advertising Week has characterized this as a measurement framework that “fundamentally misunderstands how marketing works,” noting that attribution dashboards tend to treat every purchase as the outcome of a single, measurable action, which can lead organizations to optimize themselves toward short-term tactics at the expense of long-term brand equity.

By early 2023, this tension had become visible in P&G’s own financial results. The company reported its first quarterly sales decline in five years for the quarter ended December 31, 2022, prompting CEO Jon Moeller to reiterate at an investor conference in February 2023 that the company would pursue a strategy of marketing “productivity” increasing effectiveness without necessarily increasing spend. P&G’s management cited a specific internal case from its US baby care segment, in which the company reduced media spend by fifty percent year-over-year while increasing reach by twenty percent and top-of-mind brand awareness by twenty-six percent, a combination that the company said contributed to overall sales growth of ten percent in that business. This case, disclosed publicly by CFO Andre Schulten, became an internally cited proof point that reach and brand metrics, not click-based conversion metrics, could be the more reliable predictors of sales outcomes.

Strategic Objective

The strategic objective that emerged across the industry during this period, as articulated by platform providers, large advertisers, and measurement vendors, was to move marketing measurement away from a near-exclusive reliance on digital, click-based attribution and toward a blended framework that could capture both the tactical efficiency of digital channels and the broader, harder-to-attribute contribution of brand-building media. For Procter & Gamble specifically, the stated objective, reiterated by Moeller and Schulten across multiple earnings calls between 2023 and 2024, was to increase “the effectiveness of advertising” and “return rates” while simultaneously increasing reach, explicitly positioning reach as a metric management would track alongside, not subordinate to, return on investment.

At a platform level, Google and Meta pursued a related but distinct objective: providing advertisers with tools that could demonstrate the value of their inventory beyond what last-click attribution could show. This was made explicit in Google’s own framing of Meridian, its open-source marketing mix modeling tool released on January 29, 2025, as a way for advertisers to use “best-in-class marketing mix models” to understand channel contribution using causal inference methods rather than individual-level tracking. Meta had taken a similar step earlier, open-sourcing its own marketing mix modeling tool, Robyn, in 2023.

Campaign Architecture & Execution

The industry’s execution response unfolded along three parallel tracks, each documented through public company statements and industry reporting.

The first track was the public rehabilitation of marketing mix modeling (MMM), a statistical, econometric measurement technique developed in 1949 that estimates the contribution of marketing and non-marketing variables to sales using aggregated, privacy-safe data rather than individual-level tracking. MMM had fallen out of favor in the early 2000s as digital advertising, with its promise of granular, real-time, click-level attribution, took hold. Its return was driven by two forces operating simultaneously: the erosion of individual-level tracking data following ATT and ongoing privacy regulation, and significant advances in cloud computing and Bayesian statistical methods that made MMM faster, cheaper, and more granular than earlier generations of the technique. Google’s release of Meridian and Meta’s earlier release of Robyn as free, open-source tools were both strategically significant, since, as industry analysts have noted, both companies have a commercial incentive to promote a measurement methodology that tends to surface the full value of their inventory particularly for channels such as YouTube, which multi-touch attribution models have historically under-measured relative to search and lower-funnel social placements.

The second track was the build-out of retail media networks as a distinct, high-growth channel that blends the targeting precision associated with performance marketing with proximity to the actual point of purchase. Retail media networks, led overwhelmingly by Amazon Ads and Walmart Connect, offer advertisers access to first-party purchase data collected by the retailer itself, sidestepping much of the third-party cookie and device-identifier disruption entirely, since the targeting and measurement occur within a closed, logged-in retail environment rather than across the open web. The scale of this build-out is reflected in eMarketer’s finding that retail media’s growth has become increasingly concentrated: the “largest retail media networks are growing the fastest, leaving the long tail further behind,” in eMarketer’s own characterization of the H1 2026 data.

The third track was the direct public commitment, at the level of individual advertisers, to sustain or increase brand-building investment even during periods of cost pressure. P&G’s management repeatedly and publicly resisted the instinct to cut marketing spend during periods of softer sales growth. In a January 2024 earnings call, Moeller told analysts that “now is not the time to be pulling back on investments and marketing,” arguing that the opportunity to fully penetrate households with product innovation justified sustained spend, while CFO Andre Schulten simultaneously emphasized that the company was becoming more granular in assessing return on investment “down to the brand and channel level,” so that effective campaigns would not be allowed to mask underperforming ones.

Positioning & Consumer Insight

The underlying consumer insight driving this industry-wide repositioning is that purchase behavior, particularly for everyday consumer packaged goods, is shaped cumulatively by repeated exposure and brand familiarity built over time, not solely by the final digital touchpoint that precedes a transaction. P&G’s documented baby care case is instructive here: a fifty percent reduction in media spend that nonetheless produced a twenty percent increase in reach and a twenty-six percent increase in top-of-mind awareness indicates that the prior spending pattern had been inefficient at building reach and awareness, likely due to over-concentration in narrowly targeted, high-frequency digital placements optimized for short-term, attributable conversions rather than breadth of exposure. The resulting ten percent sales growth in that segment reinforced, at least for that specific documented case, the proposition that awareness and reach metrics can be leading indicators of sales outcomes in ways that click-based conversion metrics are not designed to capture.

This insight also reframes the competitive position of retail media. Because retail media networks place advertising within or near the actual purchase environment, they offer a form of measurement that is closer to the sale than most open-web digital advertising, while still being understood internally by many brands as part of the same budget pool as other digital performance channels. The McKinsey survey of roughly one hundred fifty US media-buying decision-makers, conducted in November 2025 and published in March 2026, found that retail media spending has, for most CPG brands, been redistributed from existing digital budgets rather than representing net-new marketing investment a finding with direct strategic implications for how brands think about channel mix rather than treating retail media as simply additive growth.

Media & Channel Strategy

The documented channel strategy shift across the industry has several concrete, verifiable dimensions. First, global advertising spend itself continued to grow, with WARC forecasting total global ad spend of one point three trillion dollars for 2026, an increase of 9.1 percent year-over-year, indicating that the measurement disruption did not constrain overall marketing investment at the macro level. Second, within that growth, retail media has been one of the fastest-expanding categories, with eMarketer projecting it will represent an increasingly significant share of total US digital ad spend, alongside continued strength in connected television, where US digital video ad spend was projected by eMarketer to exceed eighty billion dollars in 2026. Third, measurement budgets and tooling shifted toward hybrid approaches combining digital attribution for tactical, campaign-level optimization with marketing mix modeling for strategic, channel-level budget allocation a combination that both Google’s and Meta’s own open-source tooling releases were explicitly designed to support, and which industry commentary has described as moving the role of measurement “from reporting to planning.”

Business & Brand Outcomes

The publicly documented outcomes of this shift are, by design of this case study, limited to what companies and credible industry sources have disclosed. Meta’s own disclosure that Apple’s ATT changes were expected to reduce 2022 revenue by approximately ten billion dollars stands as one of the most concrete, quantified business impacts of the identity-measurement disruption on any single company. Procter & Gamble’s disclosed baby care results a fifty percent reduction in media spend accompanying a twenty percent increase in reach, a twenty-six percent increase in top-of-mind awareness, and ten percent sales growth represent a documented, company-disclosed case of a brand achieving improved business outcomes while reducing, rather than increasing, performance media spend, by prioritizing reach and awareness metrics. At the platform level, Google’s decision to abandon its third-party cookie deprecation plan in April 2025, after more than five years and multiple delayed timelines, represents a documented reversal driven by what the company described as a changed industry landscape and continuing engagement with regulators including the UK’s Competition and Markets Authority. At the market level, eMarketer’s documented forecast that US retail media spend will reach sixty-nine point three three billion dollars in 2026, with nearly ninety percent of incremental spend concentrated in Amazon Ads and Walmart Connect, confirms that the growth of this adjacent, purchase-proximate channel has been real, substantial, and increasingly concentrated among the largest retailers. No verified public information is available on the aggregate, industry-wide financial return generated specifically by the shift toward marketing mix modeling, since MMM outcomes are modeled at the level of individual advertisers and are not consistently disclosed in public filings or press releases.

Strategic Implications

Several strategic implications follow directly from the documented record. First, the prolonged uncertainty around third-party cookies five years of announced, delayed, and ultimately abandoned deprecation demonstrates that platform-level infrastructure changes of this magnitude are subject to significant and difficult-to-predict regulatory and competitive pressure, making it strategically risky for advertisers to build measurement systems dependent entirely on any single infrastructure assumption, whether that assumption favors cookie persistence or cookie deprecation. Second, Meta’s disclosed ten-billion-dollar revenue impact from Apple’s ATT changes illustrates that identifier-based restrictions, unlike the cookie deprecation that never fully materialized, can and do produce large, quantifiable effects on digital advertising economics when platforms lose access to individual-level tracking, even where the underlying infrastructure (the open web, in the cookie case, versus mobile operating systems, in the ATT case) differs. Third, the public re-adoption of marketing mix modeling by major platforms and major advertisers alike signals an industry-wide recognition that privacy-safe, aggregate measurement techniques are becoming complementary, not peripheral, to digital attribution, and that advertisers who maintain measurement capability exclusively oriented around last-click conversion data risk systematically under-investing in brand-building channels whose contribution such systems are not designed to detect. Fourth, the concentration of retail media growth in a small number of large retail platforms suggests that the channel, while real and substantial in scale, is increasingly replicating the platform-concentration dynamics long associated with search and social advertising, a consideration brands should weigh when evaluating retail media as a long-term channel diversification strategy versus a new locus of platform dependency. Taken together, the documented record indicates that the future of performance marketing is not a wholesale rejection of performance measurement but a rebalancing of it: toward blended measurement systems that treat attribution as a tool for tactical optimization and marketing mix modeling, reach, and brand metrics as tools for strategic budget allocation, a distinction that Procter & Gamble’s own publicly disclosed experience suggests can coexist with, rather than undermine, sales growth.