Urban Ascent’s AEO: 2026 Strategy for 2.5x ROAS

Getting AEO right is about having a clear strategy and actually executing it. I’ve seen leaders with huge budgets blow right through them because they lacked a real plan, while others with a solid process get amazing returns. So what’s the difference between a high-performing AEO campaign and one that’s just an expensive bonfire?

Case Study: Urban Ascent’s “Trailblazer” Campaign

Let’s break down the “Trailblazer” campaign from outdoor retailer Urban Ascent. They wanted to drive sales for a new line of lightweight hiking boots. The team put an $850,000 budget behind it over a four-month period (March to June 2026), aiming for a 2.5x Return on Ad Spend (ROAS) and keeping their Cost Per Conversion (CPC) under $40.

Strategy and Planning

Urban Ascent knew a product launch needed to do more than just build awareness. It had to drive sales. Their strategy was a full-funnel approach, breaking down their audience into three distinct groups: “Adventurous Explorers” (their existing customers), “Aspiring Hikers” (new people showing interest in the outdoors), and “Gear Enthusiasts” (the tech-spec crowd researching high-end equipment). It was about precision targeting. They blended Google Ads (using Smart Bidding on search and shopping) with Meta Ads (running Value Optimization for conversions), plus a smaller programmatic spend on The Trade Desk to hit niche outdoor sites.

Here’s a move I wish more brands would make: they walled off 15% of their budget ($127,500) for the first three weeks just for A/B testing creative and audiences. Too many people launch based on assumptions and hope for the best. Urban Ascent used that initial phase to prove their hypotheses before going all-in. Without that upfront work, you’re just gambling with the rest of the budget.

Creative Approach: Storytelling Meets Performance

The creative team built three different ad sets for each segment, each with a different angle. “Adventurous Explorers” got ads with athlete testimonials that talked up the boots’ durability and advanced features. “Aspiring Hikers” saw lifestyle shots, focusing on the comfort and the simple joy of getting out on a trail. For the “Gear Enthusiasts,” the team created detailed video breakdowns, complete with technical close-ups and competitor comparisons.

They ended up with 25 unique ad variations across images, carousels, and videos. To keep things fresh, they planned to roll out new creative every 4-6 weeks. For example, after the first month, they swapped in user-generated content (UGC) showing real customers on actual trails. That change gave them a nice lift in engagement, pushing the Click-Through Rate (CTR) up by 15% for the “Aspiring Hikers” group in month two.

Targeting and Audience Segmentation

Urban Ascent had a solid first-party data strategy. By integrating their CRM with their ad platforms, they could build custom audiences of past buyers and website visitors. They then built lookalike audiences from their best customers to find new prospects. On Google Ads, they ran broad match keywords but kept them in check with a strong negative keyword list and used Custom Segments to find people actively looking for hiking gear. Their programmatic display ads were pointed only at specific outdoor rec websites and forums, which cut down on wasted impressions.

The initial testing phase produced some great intel. For instance, the “Aspiring Hikers” group loved short video ads (under 15 seconds) showing the boots in scenic spots, while the “Gear Enthusiasts” wanted longer videos (30-60 seconds) that got into the technical weeds. That kind of specific insight guided their media buying and creative rotation for the rest of the campaign.

What Worked

• Phased Creative Refresh: Swapping in new ads, particularly the UGC, was a huge win for engagement and conversions, stopping the typical performance decay. You have to do this if you want a campaign to have legs.
• First-Party Data Activation: Building lookalikes from their own customer data was incredibly effective. The CPL for their “Adventurous Explorers” segment came in at just $28, way below the $37 campaign average. An eMarketer report from 2025 noted that companies doing this well see about a 25% ROI improvement, so this tracks.
• Aggressive A/B Testing: Spending that money upfront on testing let them quickly figure out which creative-audience combos worked and which didn’t, so they stopped burning cash on bad ads early.
• Smart Bidding Strategies: Once they had enough conversion data, they turned on Google’s Target ROAS and Meta’s Value Optimization. This automated the bidding and freed up the team to focus on strategy instead of manually tweaking bids all day.

What Didn’t Work (and How They Adapted)

• Initial Broad Display Targeting: At first, their programmatic display targeting was way too general. In the first two weeks, it produced terrible CTRs (0.18%) and expensive CPCs ($3.50).
• Response: They pulled back immediately and retargeted to focus only on specific hiking and outdoor sports communities, cutting spend on general news sites. After they tightened their focus, their display CTR jumped to 0.45% and the CPC fell to $1.20 inside of a month.
• Long-Form Video for “Aspiring Hikers”: They tried showing detailed, longer videos to the “Aspiring Hikers” group, but the audience just wasn’t interested. Drop-off rates were high and they saw almost no conversion assists.
• Response: The team pivoted to shorter, punchier videos for this audience that focused on the feeling of hiking, not the tech specs. This shift immediately boosted video completion rates by 20% for that group.
• Over-reliance on Automated Placements: On Meta, they initially let the algorithm choose all ad placements. A lot of money went to the Audience Network, which delivered a 30% lower ROAS than Instagram Feeds.
• Response: They took back manual control and prioritized Instagram and Facebook Feeds and Stories, where they knew engagement was better for their products. That one change improved their overall Meta ROAS by 0.3x.

Optimization Steps Taken

The Urban Ascent team ran weekly performance reviews, pulling data from Google Analytics 4, Google Ads, Meta, and The Trade Desk into a single dashboard. This let them take quick action on what they were seeing.

• Daily Bid Adjustments: They watched performance like a hawk, making small bid adjustments every day on keywords and audiences that were falling behind their target CPC.
• Negative Keyword Expansion: They were constantly adding new negative keywords to their Google Search campaigns to block irrelevant searches, which cut their wasted spend by 8% over the four months.
• Audience Refinement: The team regularly refreshed their lookalike audiences and made sure to exclude recent buyers so they weren’t showing purchase ads to people who just bought the boots.
• Creative Iteration: They didn’t just stick to the planned refreshes. They were always tweaking ad copy and images based on A/B test data, turning off the losers and putting more money behind the winners. They learned that ads with diverse models in real-world settings always beat studio shots.
• Landing Page Optimization: The ad team worked with the web devs to A/B test the landing pages. One test, which involved simplifying the checkout process, bumped the conversion rate from that page by 7%.

Campaign Metrics Summary

After four months, the “Trailblazer” campaign posted some great final numbers:

The campaign crushed its 2.5x ROAS goal and easily beat the $40 CPC target. This happened because of their structured approach, constant measurement, and aggressive optimization. The launch is the easy part. The real work that gets you these kinds of results is the daily grind of monitoring performance and making adjustments.

A final thought: a strong creative brief is the foundation for everything. I’ve seen so many campaigns fall flat because the creative was just an afterthought. If your creative team doesn’t get the audience, the product, and the campaign goals, your sophisticated AEO strategy won’t save you. The best AEO work happens when sharp, data-backed targeting meets creative that people actually want to look at. That’s the whole game.

Good AEO work is never a “set it and forget it” job. It’s a constant process of watching the data, making decisions, and being ready to pivot. When businesses commit to solid planning, nonstop testing, and detailed optimization, they can really move the needle on performance and hit their goals.