Personalize email content by browser activity –– Personalization use cases
2026-02-28 19:02 Diff

Personalize email content based on browsing activity

Who:

Leading furniture retailer

Strategy:

A leading furniture retailer personalized email content for individuals based on each person’s browser history. The widget embedded in the email copy used data directly from the website to showcase items recently viewed, as well as recommended products, increasing the chances of cart recovery. By integrating the web browsing data into emails, this retailer ensured it maximized each touchpoint with its visitors — even if the visitors had no purchase history on file. Notably, this web browsing data updated the email widgets in real time, which meant that the most relevant products populated at the time of open, regardless of the time at which the email was sent.

Hypothesis:

Personalized email content based on web browsing history increases the relevancy of emails for the individual. This in turn increases the chances of recovery and conversion.

What real growth looks like with personalization

  • How Valamar converts travel intent into bookings with real-time context

  • What makes Saks’ personalization engine a game-changer for driving 10% more conversions?

  • Bringing the in-store expert online: How Bergzeit reinvented gear discovery with conversational commerce

  • 32% of Total Purchases from AdaptML Recommendations

  • +88% Conversion Uplift with Mastercard Predictive Spend Insights

  • Making Personalization a Breeze for Leading Financial Institutions

  • +10.3% uplift in add-to-cart rate

  • 39% decrease in same-month cancellations

  • 16% contribution to D2C revenue from Dynamic Yield

  • 16% of revenue from recommendations