Evernote uses ChatGPT Ads to drive trial-to-paid conversions

Evernote ran targeted ChatGPT Ads to reach people working with AI and followed new users from their first tagged ad click through free trial to a first subscription payment, the company reported.

Campaign approach and measurement

The initial creative emphasized Evernote as a place to save and organize notes and transcriptions, building on messaging from high-performing search campaigns. Ads directed people to Evernote’s website, with conversion campaigns optimized for new-account registrations.

Evernote used its first-party web analytics and subscription records to track outcomes. The company attributed a new account to ChatGPT Ads when the user’s first tagged visit came from a ChatGPT ad click, and compared trial-to-paid conversion for trials that started August 28–September 12, 2026 against a historical paid-acquisition benchmark from March–August 2026. Evernote noted the comparison does not establish incremental lift.

Reported results

Evernote reported that about 25% of desktop visits from the featured ChatGPT Ads campaigns resulted in a new account during September 14–28, 2026. The company also reported that new users from those same campaigns converted from free trial to paid subscription at a rate roughly 10–20% higher than its historical paid-acquisition average earlier in 2026.

Claudio Di Blasi, Data Analyst at Bending Spoons, said helping new users see enough value to become paying customers is a core challenge and that the team sought to show how Evernote’s evolving AI capabilities fit current workflows.

Evernote described the early month of activity as encouraging and directional while it evaluates whether performance holds as the channel scales. The team plans to explore additional use cases and to develop creative and dedicated landing pages that demonstrate how Evernote can fit into users’ AI workflows.

Source data: Evernote’s first-party web analytics and subscription records for the specified campaign and benchmark periods.


Original source: OpenAI News

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