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Personalization

Personalization

The process by which a digital experience is automatically tailored to a given user, based on browsing data, purchase history, real-time behavior or CRM segments. It enables content, recommendations, messages or offers to be tailored to the profile, with no action required on the part of the user.

Personalization is today a key lever in CRO (Conversion Rate Optimization), as it aims to reduce friction, accelerate decision-making and increase perceived relevance, while improving the performance of conversion tunnels.

Objectives :

  • Make the experience more fluid, engaging and contextual,
  • Improve conversion and retention rates,
  • Create a local relationship at scale via data.

One-to-one vs. one-to-many personalization:

  • One-to-one personalization
    Individual targeting, based on unique data (e.g.: user ID, purchase history, cross-device behavior).
    → Example: a logged-in user sees "recommended for you" products based on his precise history.
    This is the finest level, but requires a robust data infrastructure (CDP, login, first-party cookies) and rigorous privacy management.
  • One-to-many personalization
    Targeting by behavioral or demographic segment, applied to a group sharing common characteristics.
    → Example: all new mobile visitors coming from a paid campaign see a specific welcome message.
    This approach is simpler to implement and remains very powerful for tailoring the experience to typical profiles.

Tools and technologies :

  • Dynamic Yield, AB Tasty, Kameleoon for web personalization,
  • CDP like Segment, mParticle, or Salesforce CDP to centralize data,
  • AI / recommendation engines for algorithmic personalization (e.g.: product, content, email...),
  • Customized AB testing to test different experiences for different profiles.

Best practices :

  • Don't over-personalize (to avoid the "creepy" effect),
  • Always test impact via A/B testing or incremental testing,
  • Comply with regulatory frameworks (RGPD, ePrivacy),
  • Prioritize use cases with measurable value (e.g. personalization of checkout, reassurance messages or CTAs).

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