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Spending Less on Precision Targeting of Anonymous Users.
Same media budget, much sharper targeting using Kahoona's AI Predictive Segments.
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- 2.9x Avg. ROAS Improvement
- 5.6x Avg. CVR Improvement
- -51% Avg. Cost Reduction
The Challenge
The brand's retargeting was aimed at broad pools of recent site visitors, for example everyone who had viewed a product page or added to cart in the last 60 days. That approach spent heavily on users with low intent, dragging down return on ad spend and inflating cost per result.
Kahoona's Solution
- Kahoona's AI Predictive Segments, targeting visitors with the highest predicted likelihood to purchase and those predicted to spend above average, replaced the broad retargeting pool with high-intent anonymous users identified through Kahoona's real-time Digital Body Language approach.
- Kahoona improved conversion rate and ROAS while significantly reducing retargeting spend.
- The result was meaningfully better conversion and higher ROAS at a significantly lower cost.
- The team reinvested the saved budget into prospecting, using Kahoona's audiences to drive net-new revenue.
The Results
- 2.9x Average ROAS Improvement
- 5.6x Average CVR Improvement
- -51% Average Cost Reduction
Conclusion
Precision beat volume. By targeting the right anonymous users instead of everyone, Kahoona improved performance and efficiency at the same time as it lowered cost, turning saved spend into new growth. Source: seasonal campaign, UK, dynamic product and audience ads, benchmarked vs. best approach before Kahoona.
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