Smarter insurance bidding with real-time AI
Key takeaways
The Optimization Agent uses real-time AI to automatically adjust bids based on user behavior and market conditions, ensuring insurance marketers maximize conversions while maintaining target acquisition costs.
By combining a carrier’s historical conversion data with Arity’s unique driving risk audience segments, the platform delivers more precise targeting and smarter budget allocation.
A controlled A/B test proved that AI-driven bidding consistently outperforms manual strategies by learning continuously and prioritizing high-value impressions without increasing operational workload.
The AI-powered test group achieved 5% lower cost per bind and 71% more binds overall, demonstrating its ability to drive stronger acquisition results at a lower cost.
By eliminating the need for constant manual tuning, the Optimization Agent lets teams scale campaigns efficiently, helping carriers compete more effectively in dynamic digital ad environments.
The challenge
A leading insurance carrier faced the challenge of maximizing the number of policy binds while maintaining a strict target acquisition cost in a highly competitive digital marketplace.
Traditional bidding strategies required constant manual tuning and often struggled to adapt to rapid changes in user behavior, market competition, and campaign performance.
The carrier needed a solution that could dynamically optimize bids in real time, ensuring more efficient spend and improved outcomes without increasing operational overhead.
The approach
To address this challenge, Arity deployed its Optimization Agent, leveraging both the carrier’s historical conversion data and Arity’s proprietary driving risk audience segments.
The campaign was structured as a rigorous A/B test over a two-week period, with one version using the Optimization Agent and the other relying on standard manual bidding. The AI model was trained to identify patterns in user engagement and conversion likelihood, allowing it to adjust bids dynamically based on real-time signals.
This approach ensured that the tool could prioritize high-value impressions and allocate budget where it would have the greatest impact.
The solution
The Arity Optimization Agent evaluated every ad request in real time, automatically adjusting cost-per-click (CPC) bids to maximize conversions at or below the target cost per bind (CPB).
The system continuously learned from incoming data, adapting its bidding strategy to market fluctuations and user behavior shifts. In the test, the AI-driven group received the same budget and targeting parameters as the control group, isolating the impact of automated bidding. The tool bid more aggressively on impressions with a higher predicted likelihood of conversion while reducing spend on lower-value opportunities, ensuring optimal efficiency throughout the campaign.
The Arity difference
What sets the Arity Optimization Agent apart from traditional bidding processes is its ability to deliver superior performance without additional cost or manual intervention.
By automating bid optimization, the tool frees marketing teams from the burden of constant campaign adjustments and enables them to scale efforts more efficiently.
The AI model’s integration with Arity’s proprietary driving risk audience data further enhances targeting precision, ensuring that ad spend is focused on users most likely to convert. This combination of automation and proprietary data delivers measurable improvements in both efficiency and scale, helping carriers achieve their acquisition goals in competitive environments.
Results
The A/B test demonstrated the clear value of the Arity Optimization Agent:
- 5% lower cost per bind compared to manual bidding
- 71% more binds achieved at the lower CPB
- No changes to budget or targeting—the only variable was the introduction of AI-driven automation
- The Optimization Agent consistently outperformed manual strategies, proving its effectiveness in maximizing results while maintaining cost discipline
Together, these results validated the effectiveness of the Arity Optimization Agent in improving conversion outcomes while maintaining strict cost controls — helping carriers achieve acquisition goals more efficiently in a dynamic digital marketplace.