awais@macedomarketing.com
Most brands see ROAS tank the moment they increase ad spend. This case study shows how we flipped that pattern - scaling spend from $120K to $284K while increasing ROAS from 1.8 → 2.2.
Don’t just take our word for it - hear the results straight from the brand.
This personalized car accessories brand was plateaued at ~$176K/month in revenue. On the surface, they had everything in place - strong demand, inventory ready to ship, and a broad-appeal product. But under the hood, growth was stalling.
What they were up against:
Every time they pushed ad spend higher, ROAS would tank.
The same ads were recycled for months, with no structured testing or volume of new content.
With an average order value of just $20, they needed volume to win - but couldn’t sustain it without better margins.
They were ready to scale but spinning their wheels, unable to break past their ceiling.
This wasn’t a “failing brand” - it was a brand with potential being held back by weak creative and an undisciplined scaling approach.
The first thing we uncovered was a complete lack of creative strategy. The brand’s previous agency had been running the same tired ads for months, and every push in spend just accelerated fatigue. We flipped the script:
Review mining with AI uncovered hidden USPs, emotional triggers, and buying prompts buried in customer feedback.
Creative refresh at scale. Instead of a handful of ads, we ramped production to 50+ new creatives per week - statics, UGC, and variations of proven winners.
Quick wins first. We identified their past best-performing ads, then launched variations and split tests to regain immediate momentum.
This surge of fresh creative became the engine that fueled everything else. By matching customer language with disciplined testing volume, we finally had ads that could keep up with higher spend.
Once the creative engine was in motion, we turned to audiences and offers. The problem was clear: their best audiences were burned out. People had seen the same ads again and again - performance was collapsing. On top of that, with a low $20 AOV, profitability was razor-thin. Here’s how we fixed it:
Reactivated proven audiences. By digging deep into past campaign data, we reconnected with high-conversion segments that had been neglected.
Paired fresh ads with old winners. When those same audiences saw new creative, ROAS immediately lifted.
Raised AOV with smarter offers. We tested multiple promotions until we found a clear winner: quantity discounts. The more units a customer bought, the more they saved - instantly improving profitability.
Segment-tailored ads. Messaging was crafted for each group.
The result: audiences that were “dead” suddenly came back to life - and they were buying more per order than ever before.
With new creatives and stronger offers in place, we introduced Meta’s Advantage+ campaigns - the perfect fit for this brand’s profile.
Low AOV + broad appeal. Advantage+ thrives when products are inexpensive and universally appealing.
Rich historical data. The account already had months of purchase history, giving Meta’s algorithm the signals it needed to optimize delivery.
Automation at scale. Advantage+ made real-time adjustments that would be impossible to manage manually, keeping performance smooth as budgets increased.
By leaning into the algorithm’s strengths, we were able to push ad spend higher without the usual drop in ROAS that had stalled growth before.
Before we stepped in, there was zero structured creative testing. The brand’s old agency simply increased budgets on the same ads and hoped for the best. That approach guaranteed burnout. We built a disciplined creative testing system designed to:
Spot winners fast. Fresh creatives were tested in isolation to clearly identify what worked.
Cut losers early. Underperforming ads were turned off before they drained spend.
Stay ahead of fatigue. Continuous testing meant there were always new angles ready before old ones wore out.
Maximize budget efficiency. Every dollar was redirected to the ads and audiences proven to convert.
This wasn’t about flooding the account with random ads. It was about methodically finding the ads that could scale - and then putting budget behind them with confidence.
With creative winners locked in and campaigns optimized, the final step was scaling spend. But instead of chasing growth recklessly, we scaled with precision. Our approach:
Incremental budget increases. We raised spend by 20-25% every 3 days, giving Meta’s algorithm time to adapt without breaking performance.
Smooth growth curve. This prevented the “spend spike → ROAS crash” cycle the brand had experienced before.
Long-term stability. Each new revenue milestone was sustainable, setting the stage for continued scale.
Maximize budget efficiency. Every dollar was redirected to the ads and audiences proven to convert.
This steady, data-driven scaling turned unpredictable results into a reliable growth engine - and positioned the brand for the explosive jump you’ll see in the results below.
Scaled monthly revenue 3.5×
Increased budget while improving performance.
Higher return on ad spend with smarter execution.
Rapid growth achieved in less than 3 months.
Review mining and volume testing unlock consistent winners.
Past campaigns often hide your best audiences.
Creative testing keeps ads alive longer and spend efficient.
Low AOV + broad appeal = algorithmic leverage.
Gradual increases protect ROAS while accelerating growth.
