Cuts Email Production Time by 10x with Scalable Personalization

Fashion

Email

At Printemps, email product selection was largely manual. Each audience segment required a specific setup, with recommendations based on affinities, product categories, and best-sellers.

This process created several operational challenges: strong reliance on internal data and e-merchandising teams, setup times of up to 1.5 days per email, and limited scalability of the in-house recommendation engine, which had to be recalculated for every segment.

To overcome these constraints, Printemps sought to industrialize its product recommendations while preserving a high level of relevance and performance. By automating and scaling personalization, the brand significantly reduced production time and increased campaign efficiency without compromising impact.

  • 10x reduction in email production time

  • Industrialized and automated product recommendations

  • Maintained high relevance and performance at scale

-88%

in production time for emails

Download our use case

Cuts Email Production Time by 10x with Scalable Personalization

Fashion

Email

At Printemps, email product selection was largely manual. Each audience segment required a specific setup, with recommendations based on affinities, product categories, and best-sellers.

This process created several operational challenges: strong reliance on internal data and e-merchandising teams, setup times of up to 1.5 days per email, and limited scalability of the in-house recommendation engine, which had to be recalculated for every segment.

To overcome these constraints, Printemps sought to industrialize its product recommendations while preserving a high level of relevance and performance. By automating and scaling personalization, the brand significantly reduced production time and increased campaign efficiency without compromising impact.

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