Shoptalk Fall 2026
Sept 29–Oct 1 · Music City Center, NashvilleThe expertise you hired an agency for is now built into the platform.
Retailers brought in an agency because paid media used to require real specialist know-how - structuring campaigns properly, setting the right targets, following best practice most retailers didn't have in-house. A lot of that know-how is now automated into the platforms themselves. The fee hasn't caught up with that shift.
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Why the fee doesn't add up anymore
Retailers have traditionally paid an outside agency to bring specialist expertise to their advertising - the technical know-how to structure campaigns properly, set the right targets, and follow best practice. Increasingly, a lot of that expertise has become built into the advertising platforms and tools themselves, through automation. The specialist knowledge an agency used to provide a real edge with is now, to a significant extent, available by default.
That leaves many retailers paying a substantial ongoing fee for a service that, in practice, now amounts to occasional minor tweaks by junior practitioners rather than the meaningful strategic value the fee originally reflected. The frustration isn't that the agency is doing a bad job - it's that the value they're best placed to add has shrunk, while the cost of keeping them hasn't.
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What changes with Upp.ai
Upp.ai's platform, Rubin, takes on the work an agency team used to do by hand and adds something most agencies never gave you: a clear, ongoing view of what's actually working and what to do about it. It runs in three stages: Deploy, Measure, Plan.
Rubin runs the day-to-day execution: building campaign structures, managing bids and adjusting budgets in real time, using live commercial data like stock availability and demand. This is the work a retainer used to pay a person to do by hand except it happens continuously, across all products.
Rubin separates what your campaigns actually caused from what would have happened anyway, using attribution, incrementality testing and geo experiments. Instead of taking a platform's own reported numbers at face value, you get a clear, honest read on real impact.
Rubin forecasts demand and models where budget should go next, so spend can move toward where demand is building - by category, region or channel - before a monthly report would even tell you it happened.
Put together, this replaces the strategic judgement a retainer used to pay for with a platform that's watching every day, not checking in once a month.
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Demand-led budgeting
Media budgets are usually set for the month and left alone. Demand doesn't work that way - interest in a category can build or drop off within a week, driven by a trend catching on, a competitor running short of stock, or a season arriving early. Upp.ai tracks demand as it happens and shifts budget toward where it's building, then eases off automatically once it fades. Your spend follows real demand, not a plan that was set weeks ago.
Shoptalk Fall 2026