How YCM Slashed Cost Per Result by 51.8% While Scaling Ad Spend by 434%
Discover how Njin helped Your CEO Mentor achieve a 51.8% reduction in cost per result and a 1,008% increase in total results through AI-powered advertising optimisation.
Challenge
YCM was struggling with high cost per acquisition on their Facebook advertising campaigns. Their ads were generating leads but at an unsustainable cost, limiting their ability to scale.
Solution
Njin implemented a comprehensive AI-powered advertising strategy, restructuring campaign architecture, refining audience targeting with predictive analytics and deploying automated creative testing.
Results
Key metrics achieved: -51.8% reduction in cost per result, +1,008% increase in total results and +434.7% increase in ad spend through profitable scaling.
Your CEO Mentor (YCM) is a coaching and consulting firm dedicated to helping business leaders reach their full potential. Founded by Sarah Mitchell, YCM provides executive coaching, leadership development programs and strategic mentoring to CEOs and senior executives across Australia.
When YCM approached Njin, they had a strong reputation but their Facebook advertising was generating leads at an unsustainable cost. Every attempt to increase spend resulted in diminishing returns.
The challenge
YCM had been running Facebook campaigns for several months, but cost per acquisition was too high to scale profitably. The core issues were threefold: campaign architecture lacked structure for efficient optimisation, audience targeting was too broad and creative assets had not been systematically tested.
They needed more than incremental improvements. They needed a fundamental rethinking of their advertising strategy, powered by data and intelligent automation.
Our approach
Campaign architecture restructure: We rebuilt YCM's campaign structure from the ground up, implementing a tiered approach that eliminated internal competition between ad sets. Each tier served a distinct purpose in the customer journey, ensuring budget allocation matched strategic intent.
Predictive audience targeting: Using AI-driven analytics, we analysed YCM's existing customer data to build detailed lookalike audiences and refined interest-based segments. Every dollar of ad spend was directed toward people most likely to convert.
Automated creative testing: We implemented a structured creative testing framework that systematically evaluated different messaging angles, visual formats and calls to action. AI-powered analysis identified winning combinations far faster than manual testing.
Continuous data-driven optimisation: We established ongoing optimisation processes that monitored performance signals in real time. Budget was automatically reallocated toward top-performing segments and underperforming creatives were paused.
The results
-51.8% reduction in cost per result. By restructuring campaigns, refining targeting and optimising creative, we cut YCM's cost per acquisition by more than half.
+1,008% increase in total results. YCM generated more than ten times the number of results compared to their previous campaigns.
+434.7% increase in ad spend (profitable scaling). Because cost per result had dropped so significantly, increasing spend by over 434% was a strategic decision backed by data, and every additional dollar invested delivered strong returns.
Key takeaways
Campaign structure matters as much as creative. Internal competition between ad sets and poor budget allocation can undermine even the best creative assets.
AI-powered targeting outperforms manual approaches. The speed and depth at which AI can analyse audience data and identify high-intent segments is not achievable through manual processes.
Systematic testing beats guesswork. Structured creative testing frameworks backed by AI analysis consistently identify winning combinations faster and more reliably.
Efficiency enables scaling. When you reduce your cost per result, scaling becomes a strategic opportunity rather than a financial risk.
"Njin transformed our advertising performance. We went from struggling with unsustainable costs to scaling profitably at levels we didn't think possible."