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Case Overview

In just 60 days, a design-focused eCommerce platform selling both low-ticket products and custom installations turned around its paid acquisition performance—cutting the cost per purchase by over 80% and transforming a previously unprofitable ad account into a scalable growth engine. This was made possible through a strategic rollout of a proprietary Meta ad framework combined with AI-driven lead qualification for higher-ticket offerings.

What was once a struggling ad account propped up by the rest of the business is now on track to become a core revenue driver.

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Challenges

Unsustainable Cost Per Purchase: Paid ads were live, but costs were far too high to achieve profitability.
Ad Fatigue & Frequency Fallacy: The brand had fallen into a cycle of launching frequent new campaigns that didn’t convert, mistaking novelty for effectiveness.
Disconnected Ad Funnel: Creative concepts weren’t aligned with buying intent, and little data existed to guide iteration.
Manual Lead Management: Higher-ticket inquiries weren’t followed up fast enough, and many leads went cold before they could be qualified.

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Our Strategy

To address both sides of the business—product sales and high-ticket consultations—a two-pronged strategy was implemented:

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1. Signature Meta Ad Strategy

• Ad Element Testing via Reach Campaigns: Individual creatives, hooks, and calls-to-action were tested at scale to identify which elements best turned attention into action.
• Dynamic Creative Conversion Campaigns: Top-performing elements were then combined and tested as full ads in conversion-optimized campaigns.
• Evergreen Ad Architecture: Rather than constantly refreshing content, a high-performing set of evergreen creatives was used to consolidate spend and allow Meta’s algorithm to optimize more effectively over time.
• Creative Variety: The ad mix included UGC-style videos, polished product shots, and intentionally low-fi watermarked images—designed to feel organic and build trust.

2. AI-Powered Lead Activation

• A custom-built AI assistant was deployed to engage with high-intent leads in real time—qualifying, disqualifying, and passing actionable details to the client based on intent signals.
• This reduced drop-off, sped up the lead-to-booking cycle, and improved the overall quality of inquiries.

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Results Achieved

• Cost per purchase reduced by over 80%, allowing for profitable scaling
• 4x increase in high-ticket conversions, from 1 per month to 4+ in April
• Cost per qualified lead dropped by ~33%, with acquisition costs falling from ~30 units to ~20 (currency-neutralized)
• Improved ROAS and lead quality, with AI nurturing helping convert more interest into action
• Consistent evergreen ad performance, with Meta’s learning algorithm fully leveraged due to focused spend and reduced creative churn

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