Case Study: Aegon turns unexplained drop-offs into replay-backed fixes with InfiniteWatch AI Insights

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Preview of the Aegon Case Study

Aegon turns 3,000+ analyzed sessions into 3 priority fixes with InfiniteWatch

Aegon, an insurance company, faced the challenge of unexplained user drop-offs on its website. Their analytics could show where users were leaving but not why, leading to lost revenue and slow, manual troubleshooting. They partnered with InfiniteWatch and implemented its AI Insights product to automatically analyze real user sessions and uncover the hidden causes of this friction.

InfiniteWatch's solution automatically analyzed over 3,000 sessions in the first week, identifying and prioritizing issues with replay-backed evidence. This resulted in three specific, engineering-ready tickets being created immediately. The outcome for Aegon was a significant reduction in triage cost and the ability to recover revenue by quickly fixing problems that were directly blocking customer conversion.


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