The 2025 State of Budget Allocation in Retail Media

Summary

The 2025 State of Retail Media explores key trends shaping this fast-evolving space, from measurement challenges to shifting media strategies. One important takeaway is how budget allocation in retail media is becoming more complex, with over 200 Retail Media Networks (RMNs) competing for ad spend. As Amazon costs rise and measurement models evolve, marketers are turning to AI-driven insights and flexible strategies to optimize their investments in an increasingly competitive environment.

Last updated: December 20, 2025

As retail media continues its rapid growth, marketers face a critical challenge: determining precisely where to allocate their growing budgets. Budget allocation in retail media is akin to advanced stock market trading—it requires careful analysis, vast amounts of data, and strategic foresight to ensure the highest returns.

Compared to other major digital advertising channels, which typically have just a handful of options, retail media presents an entirely different level of complexity. With over 200 Retail Media Networks (RMNs) available, budget allocation is already a difficult task. While much of the current spend is concentrated on Amazon, marketers recognize the rising competition and increasing costs on the platform. They also see untapped opportunities across other retailers. But how and where should they invest, and which ad formats and placements will maximize their returns?

With retail media spend projected to exceed $62 billion in the U.S. alone this year, the importance of strategic budget allocation cannot be overstated. Marketers must weigh several critical factors, including return on investment, measurement methodologies, competitive ad placements, and evolving media strategies. The ability to navigate these complexities will determine success in the coming years. According to Nielsen 2025, U.S. retail media spending is expected to reach about $60B in 2025 and grow sharply through 2028—raising the stakes for disciplined, measurement-backed allocation.

In this post, we will examine key trends, factors influencing budgeting decisions, and the major hurdles marketers must overcome to succeed.

Budget allocation in retail media is the process of distributing spend across retail media networks, ad formats, and placements to maximize incremental sales and profit. It balances performance signals (ROAS, incrementality, share) with constraints like seasonality, retailer partnerships, and measurement limitations.

Micro-answer: Distribute spend where it drives incremental profit.

What are the key influences on budget decisions?

  • Retail media budget allocation decisions depend on measurement, alignment, and partner guidance across networks.
  • Measurement choices drive allocation decisions.
  • MMMs influence planning, but many practitioners question their fit for retail media. Incrementality testing and attribution help validate true lift. Stronger RMN analytics and closer retailer partnerships give teams confidence to shift spend across networks, formats, and placements.

Marketers’ decisions on budget allocation are influenced by various factors, including measurement approaches, internal alignment, and recommendations from external partners. One notable insight from our exclusive 2025 State of Retail Media report, created in partnership with Path to Purchase Institute, is the increasing reliance on Media Mix Modeling (MMM) as a key decision-making tool – a trend that has sparked significant debate.

Alex Juday, SVP Revenue & Commerce Strategy at Incremental, raises concerns about this trend:

“One [finding] that stood out to me was that MMM was highlighted as the most important influence on budget allocation for retail media. That is a bit alarming to me as I’ve talked to very few people in the last year (besides MMM companies) who believe that MMM accurately assesses retail media performance. We have to move past force-fitting retail media into a methodology that isn’t fundamentally built to understand it.”

Beyond MMM, many marketers are turning to incrementality testing and attribution modeling to inform spending decisions. The need for better insights has pushed brands to work more closely with their RMN partners, leveraging their evolving analytics capabilities to guide smarter investments. According to IAB 2024, emerging retail media measurement standards aim to align definitions and reporting expectations—helping brands compare performance more consistently as formats expand.

What’s holding back smarter budget allocation?

  • Smarter allocation is limited by measurement gaps across RMNs.
  • Measurement gaps stall smarter reallocations.
  • Proving incrementality and ROI is still the biggest barrier to confident reallocation. Fragmented reporting across RMNs makes cross-network comparisons hard. Brands are responding with better attribution, controlled experiments, and AI-led analytics that support faster in-flight optimizations and smarter partner collaboration.

Despite growing investments, marketers still struggle to prove the impact of their retail media spend. Persistent challenges around incrementality, ROI measurement, and fragmented analytics make it difficult to justify budget shifts effectively, according to our 2025 State of Retail Media report.

Colin Lewis, Editor-in-Chief for Retail Media at InternetRetailing, highlights these ongoing concerns:

“When asked about factors that could lead to reduced investment in retail media, it’s unsurprising that challenges like ‘difficulty proving investment incrementality,’ ‘lower ROI compared to other channels,’ and ‘analytical limitations’ are prominent. This echoes the common concerns voiced at retail media conferences worldwide—how can ROI be accurately demonstrated, and do our tools effectively showcase these results?”

Marketers continue to grapple with the fundamental question: how can they confidently allocate budgets when measuring effectiveness remains so difficult? This uncertainty has driven many brands to explore new solutions, including AI-powered analytics and deeper partnerships with retail media providers that offer more sophisticated attribution tools. According to NIQ 2024, 97% of advertisers without real-time retail media performance data say real-time reporting would prompt them to increase investment—making faster, clearer measurement a direct allocation lever.

Teams increasingly use AI-powered marketing to spot pacing risk early and reallocate budgets before performance slips.

Where are marketers planning to invest retail media budgets?

  • Retail media budgets are growing and spreading across more formats.
  • Growth is broadening beyond a few networks.
  • Spend is growing, but formats and networks are diversifying. Sponsored products and other on-site placements remain core, while social commerce attracts experimentation. Because Amazon captures most dollars, marketers must decide where the long tail of RMNs can deliver category fit, data advantages, and efficient reach.

Retail media budgets continue to grow, with spend diversifying across various ad formats and platforms. According to our report, sponsored products/brands ads and other on-site placements remain top priorities for marketers, while emerging channels like social commerce are gaining traction.

However, allocating budgets strategically isn’t simple. Brands must navigate a crowded and competitive landscape of RMNs. A recent analysis from eMarketer highlights this reality, showing that Amazon alone captures 77.3% of retail media ad spend, leaving a fragmented market where dozens of smaller RMNs compete for the remaining share.

The competition among smaller RMNs underscores the importance of aligning spend with networks that cater to specific categories—such as Ulta or Sephora for beauty brands—to efficiently reach the most relevant audiences. Additionally, as retailers build out their own media offerings, many are providing advertisers with exclusive first-party data and enhanced targeting capabilities, making strategic budget allocation even more crucial.

Brands managing multiple RMNs often benefit from centralized retail media solutions that unify reporting and help normalize decision inputs across networks.

How are channel performance and spend evolving?

  • Budget allocation shifts as brands scale and goals change.
  • Agility beats set-it-and-forget-it budgets.
  • Budget allocation isn’t a one-time plan—it changes as brands scale, learn, and pursue new growth goals. High concentration on major platforms pushes teams to revisit the mix often. A disciplined test-and-learn cadence helps balance proven placements with niche RMNs and emerging formats.

The way brands balance and rebalance their retail media budgets is constantly shifting. Kaitlyn Fundakowski, Sr. Director of E-Commerce at Chomps, emphasizes the need for ongoing reassessment:

“The channel performance and media mix is insightful and has seen a lot of key changes over the past few years. I think this is so dependent on organization and brand scale, and needs to align to broader brand growth initiatives for ultimate success. We are always relooking at the balance of spend as we grow. It is ever-evolving for growing brands.”

This insight reinforces the need for agility in budget allocation. Brands must continuously refine their spending strategies in alignment with growth stages and broader business objectives. Additionally, the concentration of ad spend on major platforms further highlights the necessity of exploring smaller, niche RMNs for targeted, high-impact advertising.

Marketers who can master a more data-driven, flexible approach to budget allocation will be best positioned to adapt to retail media’s ongoing evolution. The right balance of proven strategies and experimental spending can ensure long-term success in this competitive space.

Why is strategic budgeting more important to retail media success than many realize?

  • Retail media success increasingly depends on strategic budget control.
  • Strategic allocation protects performance as complexity rises.
  • Most marketers inherit budgets rather than set them, but the winners treat allocation as a strategic lever. Flexible budgeting, better measurement, and cross-team alignment make it easier to defend spend and capture opportunities as retail media fragments into commerce media across many networks.

The overwhelming majority (95%) of marketers are not involved in budget decisions. They are handed a budget and asked to spend it wisely for the biggest return. However, the ones who do control the purse strings understand just how impactful it can be. Ultimately, marketers must embrace more thoughtful and flexible budgeting strategies to navigate the complexities of retail media. Balancing proven tactics with emerging opportunities while overcoming measurement challenges is no easy feat.

As retail media continues to evolve into commerce media and fragment across networks, success will depend on staying agile, informed, and aligned with data-driven measurement strategies. Marketers who refine their approach will be best positioned to maximize returns in an increasingly competitive landscape.

If you missed our previous discussions of the findings from our 2025 State of Retail Media report, check them out here:

If you would like to learn more about how Skai’s retail media solutions can help, please reach out to our team.



Frequently Asked Questions

What is budget allocation in retail media?

It’s how you distribute retail media spend. Budget allocation in retail media means deciding how much to invest across RMNs, ad formats, and placements based on performance goals and constraints. Strong programs combine ROAS with incrementality signals, then rebalance budgets as new opportunities and measurement insights emerge.

How do I build an incrementality measurement plan for retail media?

Start small with controlled tests. Pick one RMN and one category, define a single incrementality definition your stakeholders accept, and run a controlled experiment (e.g., geo split or holdout). Use consistent success metrics, document assumptions, and repeat quarterly so allocation decisions rely on comparable, causal evidence.

Why isn’t my retail media budget reallocation improving ROI?

Common issues include mismatched metrics. ROI can stall when teams optimize to ROAS alone, compare RMNs with inconsistent attribution windows, or shift spend without accounting for seasonality and auction dynamics. Validate incrementality, normalize reporting definitions, and reallocate gradually with guardrails (tests, pacing checks, and clear stop-loss rules).

Budget allocation in retail media vs fixed retailer budgets: Which is better?

It depends on your constraints. Fixed budgets simplify planning and can secure key placements during peak moments, but they reduce flexibility when performance shifts. Dynamic allocation works best when you have timely measurement and the ability to move spend across RMNs and formats. Many teams use a hybrid: fixed “base” + flexible test funds.

What’s new with retail media budget allocation in 2025?

More networks, more pressure to prove lift. In 2025, retail media continues expanding across formats and touchpoints, while advertisers push harder for comparable, faster measurement to justify reallocations. Industry efforts toward standardization and independent measurement are accelerating, and marketers increasingly use AI and automation to manage pacing and optimize allocation in-flight.

Glossary

Retail media network (RMN): A retailer-operated advertising ecosystem that sells on-site and off-site placements; RMNs are the “containers” you allocate retail media budget across.
Media Mix Modeling (MMM): A statistical approach for estimating channel contribution; MMM often influences budget allocation but may need validation for retail media’s dynamics.
Incrementality testing: A causal measurement method (e.g., holdouts/geo tests) used to estimate true lift; incrementality is what helps justify shifting budget between RMNs.
ROAS vs incremental ROAS: ROAS measures attributed return, while incremental ROAS focuses on added sales caused by ads; the gap between them can change allocation decisions.