How Zalando Cut Campaign Timelines From 8 Weeks to 4 Days

Six to eight weeks, down to three or four days.

That's what Zalando's Vice President of Content Solutions, Matthias Haase, told Reuters in May 2025 about the retailer's photography turnaround after moving campaign production onto Generative AI. Costs fell about 90%. By the fourth quarter of 2024, roughly 70% of Zalando's editorial campaign images were produced with Generative AI.

The cost figure gets the headlines. The speed to market is what restructured budgets, and it's worth understanding why.

Why Turnaround Matters More Than Cost

The general consensus is that Generative AI wins on price, that a cheaper cost per image output means more volume, and that more generative output helps consumers determine what to buy. That’s partly right.

A traditional campaign locks its shot list weeks ahead of the shoot day. Whatever the market is doing by the time those assets go live, the brand already committed to a timeline early on. If a product moves unexpectedly, if a channel for messaging changes its format specs, if a competitor shifts the context, there's no ‘good’ way to respond quickly through the traditional reshoot route.

Cutting eight weeks to four days doesn't just save money. It turns campaign photography from a fixed asset into something a brand can revise while the campaign is still running. That's a different capability entirely, and it's why the teams getting the most out of Generative AI techniques aren't the ones with just gaining the biggest savings — they're the ones who rebuilt their calendar around a better, faster, and cheaper speed to market.

Said another way— the brands winning here didn't buy cheaper-priced photography. They bought a shorter, quicker loop for a workflow that produces better results.

What A New Workflow Actually Looks Like

Photography budgets have historically been treated as a fixed operational cost, and a large one. A full-day lifestyle shoot can run on average between $10,000 and $25,000 once talent, location, crew and post are accounted for. That sets a floor under how much photography a brand can afford for any given photo shoot, which means it also sets a limit on how much of the catalog gets used in a marketing campaign.

The brands getting the best results aren't simply cutting that line and pocketing the difference. They're moving it into coverage — more images per product, more lifestyle contexts, more frequent refreshes to keep content current. These economics let a marketing team produce Gen AI photos, at the scale, that marketing channels demand, instead of limiting the number of photos they have to work with, because traditional production made expanded coverage unaffordable.

That leaves two groups of brands in meaningfully different positions. One has product pages with deeper visual context, photography refreshed against more channels, at a fraction of the cost of traditional production. The other is still working to a traditional calendar, and paying traditional prices for it.

The difference between the two approaches is the workflow, built on cost-effective speed to market. That's why Generative Photography spends more time up front, during the initial stages: on the creative briefing rather than on platforms.

For a category-by-category view of what Generative Photography vs traditional production costs, download our 'Generative Photography Cost Breakdown' guide: genphotography.com/asset/costbreakdown