What is Tealeaf?
Acoustic Analytics, formerly known as Tealeaf, was founded in 1999 launched the experience analytics category. IBM acquired Tealeaf in 2012.
As one of the first tools to incorporate user session replay, Tealeaf has largely served a technical audience such as IT departments, meaning that it is often siloed from other teams, such as product and development.
Teams can choose between a SaaS cloud version and an on-premise one.
Glassbox, an Israeli-based enterprise analytics platform, is often viewed as the evolution of Tealeaf.
What does Tealeaf do?
As an AI-powered behavior analytics platform, Tealeaf helps teams optimize their digital channels. The platform also includes a number of market tools that serve a wide range of purposes.
Broadly speaking, Tealeaf helps teams identify moments of user friction, pinpoint anomalies, and uncover insights into customer behavior that make it easier to execute on data-driven decisions that actually improve business performance, not just IT results.
Tealeaf’s current key features include the ability to:
- Visualize web and mobile interactions to better understand user behavior.
- Quantify the business impact of customer friction and other errors
- Detect anomalies (both good and bad) using AI
- Reduce MTTR, especially call-time in call centers
- Remain compliant with regulations such as GDPR
Who uses Tealeaf?
Tealeaf is an enterprise-level analytics solution that is primarily used by marketers, IT/Ops, and anyone who owns application projects.