Fresh Step’s 90% AI Ad Cost Cut in 2026

eMarketer is projecting that ad spend on AI creative will hit $75 billion by 2026, a 150% jump. We’re already seeing this happen in the real world, not just in forecasts. Look at Fresh Step, their internal numbers show a 90% drop in campaign costs while performance held steady or even improved. It sounds impossible, so how’d they do it?

90% Reduction in Campaign Cost: The Core of the Fresh Step Case Study

The big number grabbing everyone’s attention is the 90% reduction in overall campaign costs. They didn’t get there by just slashing the budget. They completely re-engineered their marketing workflow with AI. Think about the old way: a single campaign required endless creative briefs, expensive designer and copywriter hours, agency markups, and painful revision cycles. Each one of those steps adds cost. Fresh Step plugged in AI tools from marketing tech vendors that could spin up ad copy, visuals, and short videos from brand guidelines and past performance data.

A seasonal promotion for their cat litter, for example, used to eat up 30 to 40 person-hours just for the creative. With AI, they could get the same output (and dozens of variations) in less than an hour, with a creative director just needing a few hours for review. That’s a massive compression of time and money for each asset. Real efficiency makes entire line items of old expenses obsolete.

20% Higher Click-Through Rates with Creative AI

It wasn’t just about saving money. In their A/B tests, Fresh Step saw a 20% lift in click-through rates (CTR) from some of their AI-generated ads compared to the human-made ones. This is where a lot of marketers get hung up, assuming AI creative is bound to be generic and soulless. But the data from Fresh Step points somewhere else. These AI platforms were trained on a ton of data, past campaign performance, user engagement, and even the sentiment of product reviews.

On social media, for instance, the AI could generate hundreds of ad variants in a flash, tweaking headlines, images, or CTA buttons on the fly. It tested them in real-time on small audience segments and learned what worked. Maybe a playful kitten ad killed it with young city-dwellers, while an odor-control message worked better for suburban families. A human team simply can’t iterate at that speed or scale. This constant, data-fed optimization loop is what drove up engagement, proving that properly guided AI delivers both quantity and quality.

35% Reduction in Wasted Ad Spend Through AI-Driven Segmentation

Wasted ad spend is the silent killer of marketing budgets, hitting people who will never convert. Fresh Step cut its wasted spend by 35% by getting serious about AI-driven audience segmentation. Old-school segmentation is based on broad demographics or simple behaviors. AI can dig much deeper, looking at granular data like purchase history, cross-site browsing, declared interests, and even real-time signals like a local heatwave (which absolutely affects pet owner purchasing).

This paid off big time in their programmatic campaigns. Instead of targeting a vague “pet owner” audience, the AI found micro-segments like “first-time cat owners in apartments who want dust-free litter” or “multi-cat homes worried about ammonia who might want a subscription.” That kind of precision means you’re spending money on people who are actually likely to care. The goal is always to reach the *right* people at the *right* time. In my own work, getting this granular is what separates a break-even campaign from one that actually drives growth.

5x More Unique Ad Variations Per Campaign Cycle

Because the AI was so fast, Fresh Step could launch 5x more unique ad variations per campaign cycle. This is a point people often miss, but its impact is huge. Before AI, you’d painstakingly craft maybe 5 or 10 creatives for a big campaign and spend weeks optimizing them. With these tools, Fresh Step could drop 50 or 100 variations all at once.

All that creative output just accelerates the learning curve. You’re not waiting weeks to find your best one or two ads. The system can spot winners in days or even hours. It pauses the losers and automatically generates new variants based on what’s working. This creates a rapid iteration cycle where the campaign is always getting smarter based on real-time feedback. It’s like running hundreds of small experiments at the same time instead of a few big ones one after another. You end up discovering creative angles your own intuition never would have found.

The Human Touch Isn’t Gone, It’s Just Changed Jobs

There’s a lot of fear that AI will just lead to boring, cookie-cutter marketing. Fresh Step’s results push back on that idea pretty hard. We’re seeing a fundamental re-scoping of the creative’s role, not their elimination. Creatives are freed from the grunt work of making 50 slightly different banner sizes or writing endless copy variations. Their job becomes more strategic: they direct the AI, they guard the brand voice, they set the vision, and they’re the ones who have to make sense of all the data coming back.

The future I’m describing to clients is one where humans use AI to get scale and precision that was previously impossible. A chef still designs the menu, but they use a sous vide machine for perfect consistency. In the same way, a creative director defines the brand’s ‘flavor’ while the AI handles the production of the individual ads. The real work, the insightful work, is now about writing good prompts for the AI, checking its output to make sure it’s on-brand, and figuring out the strategic ‘so what?’ from the performance data. This takes a more elevated skillset than just executing comps. The human job shifts from pure execution to strategy and oversight, a much higher-value place to be.

The Fresh Step case study shows exactly how AI can redefine marketing efficiency. Slashing costs by 90% while improving metrics shows that AI is a catalyst for fundamental change, not just a tool for small wins. If you want to maximize your own digital campaigns, there are plenty of strategies out there for boosting ROI.