The Problem:
- Data modeling was slow—testing audience segments took too long to generate insights.
- Inaccurate lists led to wasted mailings—undeliverable addresses and unverified contacts hurt ROI.
- Clients wanted proof of performance—but lacked visibility into what was working.
How We Helped:
- Enabled real-time data validation with ResponseIQ, allowing the agency to test audience segments faster.
- Provided tools to identify discrepancies in mailing lists, improving accuracy and reducing waste.
- Delivered detailed response analytics to help refine targeting and optimize future campaigns.
The Results:
- Faster campaign testing—data models could be refined in days, not weeks.
- Improved mailing list accuracy, reducing undeliverable mail and cutting wasted spend.
- More value for clients—better targeting led to higher engagement and improved conversion rates.