Platformance x UM MENAT: How RADIUS Is Fixing Retail Media for Global FMCG Brands?
For years, brands in the region have been flying blind across fragmented retailer platforms. Platformance and UM MENAT just proved there’s a better way and the numbers are hard to argue with.

There is a version of retail media in the Middle East that most marketers know all too well. A campaign live across four retailers. Four separate dashboards. Four incompatible reporting formats. A week after the campaign ends, an agency team is still reconciling spreadsheets and by the time the insight lands, the window to act on it has long since closed.
This is not a niche problem. It is the operating reality for most brands running retail media at scale across the region. And for all the enthusiasm around retail media as a growth channel and the investment flowing into it, the infrastructure supporting it has not kept pace.
That is the gap Platformance set out to close when it launched RADIUS, a unified retail media platform built specifically for the fragmented realities of the Middle East market. And a recently published campaign case study in collaboration with UM MENAT offers the first concrete proof that the approach works in live conditions, at real scale, with results that warrant serious attention from brand builders and marketers across the region.

A Problem That’s Been Hiding in Plain Sight
| What it does? | Single interface for retail media planning, activation, optimization and reporting |
| Built with? | MCN Media agencies as a strategic launch partner |
| Key capability | Live cross-retailer performance in one unified view |
| AI Features | Insight generation and budget optimization recommendations |
Ask any brand manager or media planner operating in the GCC about retail media measurement, and the frustration surfaces quickly. The retailers are there. The budgets are there. The intent to drive performance is genuine. What has been missing is the connective tissue, a layer that sits above the individual retailer ecosystems and translates activity into a coherent, comparable picture of performance.
Without that layer, investment decisions are made on incomplete information. Budget gets concentrated in familiar retailers not because they are necessarily the best performers, but because they are the ones whose data happens to be most legible. High-performing Retailer × Market combinations go unidentified. Reallocation decisions that should take hours take weeks or don’t happen at all.
The knock-on effect for brands is significant. Retail media investment in the region has been growing rapidly, but the returns have been constrained by the infrastructure not the opportunity. Fragmentation has been quietly capping the ceiling on what retail media can deliver.

Building the Platform in the Field
What distinguishes RADIUS from a typical retail media product is how it was built. Rather than developing in isolation and bringing a finished product to market, Platformance took a different approach ,partnering with the media agencies of Middle East Communications Network (MCN) as strategic launch partners, and co-developing the platform in live campaign environments alongside UM MENAT and their clients.
The implications of this build-with-not-for philosophy are visible in the product. The optimisation logic, the reporting structure, the visual outputs, all of it was shaped by the people who would actually use it, in the conditions they would actually face. It is the difference between a platform built around theoretical workflows and one built around the reality of managing a multi-retailer FMCG campaign under time pressure.
One of the first advertisers to activate through this collaboration was a global FMCG & Health brand running complex retail media campaigns across multiple retailers in the region. The campaign would become the test case that validated the model and produced results that have since become difficult to ignore.

“Launching RADIUS alongside Platformance has been a genuinely collaborative process. Working together in live campaigns allowed us to shape the platform around real operational needs — simplifying how retail media is planned and activated, while giving us far greater visibility into performance across retailers.”
Abdelnabi Alaeddine — Regional Director, Digital & Partnerships, UM MENAT
What Happened When the Data Came Together
The campaign launched with RADIUS as the central operating layer, consolidating all retailer activity, spend, and performance data into a single, standardised view accessible to both the Platformance team and the agency. For the first time, there was no reconciliation required. Both parties were working from the same numbers, in real time.
The immediate effect was speed. Where previously identifying a high-performing Retailer × Market combination might take days waiting for individual platform reports, aligning formats, building a comparative view, it now took minutes. The data was live, visual, and actionable. And crucially, the team could act on it without delay: shifting budget toward stronger performers, concentrating spend in the combinations that were actually driving transactions, and doing so with confidence rather than instinct.
The results across Q4 2025 reflect the compounding effect of those decisions made in sequence. A 60% uplift in transactions arrived within the first month of activation not through a dramatic creative shift or a sudden increase in spend, but through better allocation of the budget already in the plan. Investment then scaled 3.6x from month one to month two, with ROAS remaining positive throughout. By month three, with AI-supported insight generation continuing to surface optimisation opportunities, ROAS had improved a further 26%. Over the full quarter, 92,300+ transactions were recorded, with 8% more media investment deployed versus the original plan, the result of confidence built through visibility.

“We designed our retail media solution to solve longstanding challenges like fragmented reporting and suboptimal budget allocation. The results have been immediate and meaningful — and this is only the foundation.”
Rohan Sawant — Director, Programmatic and Retail Media, Platformance
What This Means for Brand Builders in the Region
It would be easy to read this case study purely as an adtech story, a new platform delivering strong campaign metrics. But the implications for how brands think about retail media strategy in the Middle East are broader than the numbers suggest.
The first is about confidence. One of the quieter constraints on retail media investment in the region has been the difficulty of justifying budget increases when performance data is fragmentary and hard to trust. Unified measurement changes that equation. When brands and agencies can see clearly which retailers and markets are driving outcomes and act on that visibility in real time, the investment case for scaling becomes straightforward.
The second is about speed as a competitive advantage. In a retail environment where promotional windows are short and consumer attention is contested, the gap between a performance insight and a budget reallocation decision is strategically significant. A team that can identify a winning combination and shift resource toward it within hours is operating in a fundamentally different mode from one that learns the same thing two weeks later from a reconciled report.

The third is about what becomes possible when the infrastructure works. This campaign validated the model. But the more interesting question is what happens next, when brands enter the year with a full quarter of cross-retailer performance data informing their planning, when the AI-supported insight layer has been trained on more campaigns across more markets, when the benchmark for what retail media can deliver in this region has been reset.
Platformance’s own framing is characteristically measured: this is only the foundation. For marketers across the Middle East who have been investing in retail media and quietly wondering whether the returns could be better, that foundation just became considerably more tangible.