Executive Summary

Event Recommendations Based on Customer Behavior

In event ticketing, discovery is the defining moment of the experience. Platforms succeed or fail based on whether they surface events that genuinely resonate with the user at the right time. When variety is not filtered meaningfully, choice quickly turns into friction, slowing decisions and weakening engagement.

This playbook explores how past behavior becomes the strongest signal for relevant event discovery. Events users have viewed, purchased, or attended reveal far more than declared interests. By placing these behavioral signals at the center of recommendations, platforms can move from broad listings to experiences that feel intentional and curated. Behavior-based recommendations shift the journey from browsing to guided discovery. Users spend less time searching and more time engaging with events that align with their preferences, location, and habits. Over time, this relevance builds trust, strengthens loyalty, and transforms the platform into a reliable guide rather than a catalogue.

Behavior-Based Recommendations Playbook

Turn past customer experiences
into meaningful discovery

This playbook explores how event platforms use behavioral signals to guide users toward relevant experiences, reduce decision friction, and improve engagement through personalized discovery.

Behavioral Signals

Why past behavior matters in event discovery

Past interactions reveal real interests and provide the most reliable foundation for relevant event recommendations.

  • Uses views, purchases, and attendance as intent signals.
  • Builds a behavioral profile beyond declared preferences.
  • Reduces randomness in event suggestions.
home page recommendations segmentation search
Guided Discovery

From endless browsing to curated experiences

Behavior-based recommendations transform large event catalogs into focused, guided discovery flows.

  • Highlights events aligned with user history and tendencies.
  • Shortens decision time by reducing comparison fatigue.
  • Creates a calmer, more intentional exploration experience.
product recommendations search page 1
Engagement Impact

Turning relevance into long-term loyalty

When discovery feels personal and timely, users engage more and return with confidence.

  • Increases conversion without aggressive promotion.
  • Strengthens emotional connection with the platform.
  • Builds trust through consistent relevance over time.
ecommerce loyalty program