Case Study
Case Study
National Rehabilitation Company
A respected national rehabilitation company commissioned a project with AION to audit brand assets, craft new messaging, and improve overall targeting for their campaigns.
The initial project had four defined goals:
- Utilize AION predictive behavioral data to find people who were actively looking for treatment
- Profile demographics, geography, and commercial insurance policies for targeting
- Craft a unique differentiator to showcase to potential patients seeking help for addiction
- Increase the quality of leads
The targeting for this project marketing campaign was developed out of multiple segmentation work done during the researching phase. The assumption going into the project was that the target segmentation would be the key factor in improving the quality of leads, alongside real-time behavioral tracking based on segmentation.
Real-time behavior and audience segmentation monthly size were over 1,364,605 potential prospects.
However, with a third of the population on state-funded insurance and individuals discontinuing their policies due to work or age, there was bound to be a gap in active insurance. With this in mind, we added a safety net to retroactively filter and apply machine learning to enrich data sets.
By doing so, the quality of leads improved dramatically over the course of 90 days. We increased the quality of leads by 1,176% and decreased the cost-per-lead (CPL) by 97%.
6-month results showed the quality trend rising, as cost-per-lead continued to decrease month over month.
National Rehabilitation Company
A respected national rehabilitation company commissioned a project with AION to audit brand assets, craft new messaging, and improve overall targeting for their campaigns.
The initial project had four defined goals:
- Utilize AION predictive behavioral data to find people who were actively looking for treatment
- Profile demographics, geography, and commercial insurance policies for targeting
- Craft a unique differentiator to showcase to potential patients seeking help for addiction
- Increase the quality of leads
The targeting for this project marketing campaign was developed out of multiple segmentation work done during the researching phase. The assumption going into the project was that the target segmentation would be the key factor in improving the quality of leads, alongside real-time behavioral tracking based on segmentation.
Real-time behavior and audience segmentation monthly size were over 1,364,605 potential prospects.
However, with a third of the population on state-funded insurance and individuals discontinuing their policies due to work or age, there was bound to be a gap in active insurance. With this in mind, we added a safety net to retroactively filter and apply machine learning to enrich data sets.
By doing so, the quality of leads improved dramatically over the course of 90 days. We increased the quality of leads by 1,176% and decreased the cost-per-lead (CPL) by 97%.
6-month results showed the quality trend rising, as cost-per-lead continued to decrease month over month.
Let’s Talk Data
Interested to see how AION can help? Let’s get to know your brand and your unique goals so we can come up with a plan that works for you.
Let’s Talk Data
Interested to see how AION can help? Let’s get to know your brand and your unique goals so we can come up with a plan that works for you.