AtData, recently announced the release of the AtData Quality Score to help organizations better segment and qualify their customer databases. Based on machine learning, the AtData Quality Score can improve email campaign engagement, deliverability, response and conversions by enabling organizations to identify which subscribers most closely align to its best customers.
“Not only do marketers need to understand which email addresses are dead or high risk but they also need to identify which emails are most valuable. With the addition of the Quality Score, AtData now covers the full range of email dispositions from bad to good,” said Tom Burke, AtData CEO. “Knowing that ‘quality’ is in the eye of the beholder, we’ve built a machine learning model to interpret the score the same way our customers do, tapping into their first-party data to accelerate campaign performance and marketing results/ROI.”
Combined with AtData’s email address intelligence solutions, which connect the dots between an email address and the individual, the Quality Score helps identify high value email addresses enabling companies to confidently segment those more likely to engage across digital channels. This results in improved activation and segmentation as emails with varying scores can be targeted, messaged and analyzed differently.
