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Ad Spend: $225112
Revenue Generated: $578245
Final ROAS:Â 2.57
Store Niche: PetsÂ
Introduction:
We started working with this Pet brand at the start of November 2019.Â
We quickly applied our testing, optimization & scaling frameworks and began ramping up the spend.
The client had supply chain issues after we sold out their stock at the end of December & early January.
He then restocked and we scaled him back up again, only to sell out of his stock at the end of February, thus scaling down temporarily again.
Challenges & Opportunities:
During our initial discovery call, the founder explained that he was struggling to scale his unique pet product. Despite knowing the product had broad appeal among pet owners, he faced difficulty moving inventory. He urgently needed to clear his stockpile by the end of Q4.
He identified self-managed media buying as a key issue, prompting us to conduct a detailed audit of his ad account. Our audit uncovered several critical issues:
Insufficient use of retargeting strategies, limiting potential growth.
A disorganized ad account structure with scattered campaigns, ad sets, and creatives, complicating performance analysis. Many campaigns were mistakenly optimized for reach, traffic, and engagement rather than sales.
Minimal audience testing (interest-based, custom, and lookalike audiences).
Poor-quality ad creatives that inadequately addressed customer pain points and failed to position the product effectively as a solution.
Strategy & Implementation:
We immediately guided the client on creating high-quality, direct-response ad creatives, clarifying the marketing angle, video format, length, and messaging required to scale effectively.
Next, we restructured and simplified their ad account from nine campaigns down to three core funnel stages (Top of Funnel – TOF, Middle of Funnel – MOF, Bottom of Funnel – BOF). This reduced audience overlap and improved ad spend efficiency.
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Our three-step funnel included:
Populating and systematically testing new custom and lookalike audiences.
Organizing clear ad groups for effective testing and data analysis.
Scaling the best-performing ad groups and implementing new high-quality creatives.
Launching Dynamic Product Ads (DPAs) using a product data feed for our BOF campaigns.
Revamping the MOF strategy to effectively monetize warm traffic segments (social media engagers, website visitors, video viewers), including targeted mid-funnel creatives and offers.
Creating a bottom-of-funnel re-engagement strategy for email subscribers and past customers.
With this structured funnel, we quickly identified and addressed any bottlenecks in traffic segments. MOF and BOF proved profitable immediately, while TOF required additional audience and creative testing to identify winning strategies.
After identifying successful broad audience segments, we scaled aggressively using Campaign Budget Optimization (CBO) combined with automated rules to dynamically increase budgets on profitable days and pause underperforming ads.
Using this approach, we scaled daily ad spend from approximately $500 to over $5,000 within 2-4 weeks, simultaneously increasing ROAS. Continuous cycling of new audiences and creatives helped maintain performance despite periodic creative fatigue and supply limitations.
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Results:
Within 3 days of our initial strategy call, we delivered a comprehensive Facebook funnel strategy.
Ads were live within 24 hours of client onboarding.
Within one month, we achieved a 2.5x ROAS, tripling their initial ad spend to between $2,500 and $5,000 daily.
By the end of the second month, the client sold out inventory initially thought impossible to clear, necessitating a temporary scale-down.
Restocking occurred mid-January, yet by early March, they faced another inventory sell-out, driven solely by Facebook Ads.
After roughly four months, by the end of March, we generated over $578k revenue from approximately $225k in ad spend, achieving an aggressive yet profitable ROAS of 2.57.

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