CallRail Labs Unveils AI-Powered Self-Reported Attribution
- Written by Kelly Lindenau
- Published in News Briefs
CallRail, an AI-powered lead intelligence platform, released AI-driven, self-reporting attribution capabilities as a part of its innovation program, CallRail Labs. The new solution seeks to enable practitioners to gain more visibility into the impact brand, word of mouth, social media and other difficult-to-track marketing efforts has on generating leads.
The introduction of AI-powered self-reported attribution is designed to take attribution to offer deeper access into buyer journey insights and the influence of indirect marketing channels. Specific features reportedly include:
- Conversational AI that listens, understands and reports when customers share crucial information about the factors that prompted their engagement or purchase decisions; and
- Merging digital attribution with self-reported attribution to help enrich reporting capabilities by source.
”As AI continues to revolutionize industries, it has empowered us to unlock new frontiers in understanding and optimizing the buyer's journey," said Emily Popson, Sr. Director of Growth Marketing at CallRail, in a statement. "Until now, it’s been notoriously challenging to measure the influence of brand marketing, word of mouth or dark social — that data was hidden in conversations. By bridging the gap between traditional attribution methods and AI-driven insights, self-reported attribution empowers marketers to make even more informed decisions and confidently navigate the complexities of today's marketing landscape."
This latest announcement closely follows CallRail’s October release of three new AI features, which are designed to help bolster marketing performance by automatically unlocking insights from phone calls.