Presight
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On this page
  • 🛒 What are Events?
  • Example
  • 📓 Use-cases of Presight Events
  • Optimizing User Journeys
  • Measuring Product Feature Adoption
  • Boosting Customer Retention
  • Personalizing Customer Experiences
  • Evaluating Marketing Campaign Performance
  • Analyzing Cross-Channel Interactions
  1. INTRODUCTION
  2. Core Concepts

Events

PreviousMetricsNextSegments

Last updated 5 months ago

🛒 What are Events?

In the context of data analytics, Events represent critical moments or actions taken by users that matter to your business. These are recorded interactions or milestones within your data, often providing key insights into user behavior, product value, and operational effectiveness. Events go beyond simple metrics—they form a narrative that can explain how users engage with your product, what motivates them, where they drop off, and why they come back.

Example

Imagine your business tracks customer orders. Every time an order is successfully placed, it signifies a pivotal interaction between the user and your service, and is recorded as a unique record in a table named Orders.

If Jane Johnson placed a $100 order on January 1, 2024, this action is captured as an "Order Placed" Event. By tracking Events like these, you gain a lens into user behavior that reveals how your product supports and interacts with its audience.


📓 Use-cases of Presight Events

Optimizing User Journeys

  • Where users drop off during key processes, such as checkout or onboarding.

  • Bottlenecks in user journeys, allowing you to simplify complex steps and boost conversions.

  • High-performing touchpoints that encourage user engagement, informing future improvements.

Measuring Product Feature Adoption

  • Feature engagement trends over time, helping you understand if users are adopting newly launched functionalities.

  • User segments driving feature usage, which allows for targeted campaigns to increase adoption in underrepresented groups.

Boosting Customer Retention

  • Identify common behaviors among retained vs. churned users, informing retention strategies and engagement campaigns.

  • Segment users based on specific actions, such as purchase frequency, to create tailored loyalty programs.

Personalizing Customer Experiences

  • Customize product recommendations based on a user’s previous actions.

  • Trigger targeted messaging or promotions when users complete or miss specific milestones, like a product search or abandoned cart.

Evaluating Marketing Campaign Performance

  • Quantify campaign-driven conversions and see which channels drive the best return on investment (ROI).

  • Understand customer journeys triggered by marketing campaigns, providing insight into which messaging resonates most.

Analyzing Cross-Channel Interactions

Event Analytics lets you track and unify user interactions across multiple platforms, such as websites, apps, and CRM systems. This helps:

  • Understand how behavior in one channel influences another, offering a holistic view of the customer journey.

  • Optimize cross-channel strategies to ensure a seamless user experience across all touchpoints.

Read more on or see an

👋
How to Use Events
Example Event Analytics Report
An Event on Presight is as simple as a record from one of your tables