Retail Media Isn't Just Amazon Anymore

Uber launched its advertising platform in 2022. Three years later, ad revenue crossed $2 billion. In 2026, the company took the step the market anticipated: it expanded beyond its own apps.

This isn't just an Uber story. It's a structural shift in advertising: companies that own first-party data about real user behavior are building their own ad networks. Amazon paved the way. Uber proves the model works well beyond e-commerce.

If you manage media budgets or run PPC campaigns, this matters directly.

What retail media is and why you can't skip it

Retail media means advertising on platforms owned by companies that have a direct commercial relationship with consumers. Not a publisher selling ad space. A transport company, a retailer, or a delivery app monetizing its user base through targeted ads.

The difference from traditional advertising comes down to data quality. Retail media platforms don't rely on third-party cookies (which are fading anyway) or inferred audiences. They work with directly observed data: real transactions, usage frequency, physical location, order history. When an Uber user opens the app 15 times a month and orders from Uber Eats 8 times, the platform knows exactly who should see a relevant offer.

Amazon standardized the model in e-commerce. Walmart Connect, Instacart Ads, and DoorDash followed. Uber is doing the same thing now, but with a distinct advantage: behavioral data from the physical world. It knows where you go, when, how often, and at what frequency. That kind of signal is hard to replicate in any other digital channel.

What Uber Ads launched and what the data shows

A recent article on Marketing Dive detailed the scope of Uber Advertising's expansion. A few numbers that put things in perspective:

In Q1 2026, Uber reported total revenue of $13.2 billion (14% year-over-year growth), 3.6 billion trips (up 20%), and 17% growth in monthly active users. Against this backdrop, the company launched several new ad formats across both business lines.

On Uber Rides: Destination Offers (location-based deals tied to where you're headed), Ride Offers on Journey (promotions served during the ride), and Homescreen Ride Offers (branded messages on the app's main screen). Miller Lite tested Ride Offers on Journey and saw a 45% higher click-through rate compared to standard creatives without offers.

On Uber Eats: Brand Takeovers (full-screen pop-up when the app opens), Item Showcase (product carousel highlighting menu items), and Offer Spotlight (full-screen promotional ads). Molson Coors was among the early testing partners for these formats.

The most significant move is Offsite Ads. Uber now uses its first-party data to target users on external platforms, including Google Shopping. It's no longer just an ad channel. It's an ad network with reach beyond its own ecosystem.

Why it works: context beats volume

A banner on a random website and an offer shown during an Uber ride are not the same thing. The difference is context.

According to Uber's data, 81% of users are open to receiving offers during rides. Over 50% would make a detour to redeem an offer. 64% say discounts make them feel more positive about brands, and 65% say discounts capture their attention.

This isn't an audience suffering from ad fatigue. These are captive users with free time (the duration of their ride), phone in hand, and a willingness to engage. Compare that to someone speed-scrolling through a feed during a lunch break. The attention quality is fundamentally different.

For brands operating in markets like Romania, where Uber and Bolt compete for ride-sharing dominance, this creates an interesting dynamic. As these platforms grow their ad businesses, local advertisers get access to granular geographic and behavioral targeting that wasn't available before. A restaurant chain can target riders heading to a specific neighborhood. A retail brand can reach frequent Uber Eats users in Bucharest or Cluj. The precision is real, and the data comes from actual behavior, not demographic assumptions.

We analyzed a similar pattern when we looked at how AI lifts ad revenue, but not for everyone. The lesson repeats: the platforms that win aren't necessarily the ones with the highest traffic volume. They're the ones that offer the right context at the right moment.

What you should do with this

Don't move 30% of your Google Ads budget to Uber tomorrow. But consider a structured test. A controlled budget, targeting a defined audience (for example, Uber Eats users in a specific city), can reveal whether the channel works for your brand.

Three practical principles for evaluating retail media:

• Test with small budgets, measure incremental conversions. Miller Lite's 45% CTR lift is impressive, but what matters is what happens after the click. Set clear objectives: site traffic, offline conversions, brand lift. Don't stop at vanity metrics.
• Evaluate platforms through your audience lens. Uber makes sense for FMCG brands, restaurants, entertainment, and retail. For B2B SaaS, probably not. Before testing, verify that your audience uses the platform with relevant frequency.
• Prepare for fragmentation. Uber, Lyft, DoorDash, Spotify, Revolut. Every platform with first-party data will launch its own ad network. Media buying is getting more complex, but also more precise. Invest in cross-platform attribution tools and the ability to rapidly evaluate new channels.

We recently discussed how ChatGPT is becoming an ads platform. The trend is the same, coming from different directions: audiences no longer live exclusively on Google and Meta. They're spread across platforms people use daily for concrete things. Transport, food, finance, entertainment. Each of these platforms is becoming an advertising channel.

Retail media isn't an experiment. It's a mature advertising category that deserves a place in the media plan of any brand with a digital presence. The question isn't whether to consider it, but how quickly you adapt.