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Tools & Platforms

Product Analytics Integration

Connecting product usage data from tools like Mixpanel or Amplitude to your email marketing platform.

Definition

Product analytics integration connects usage data from analytics tools (Mixpanel, Amplitude, PostHog, Heap) to your email platform. This enables email triggers based on in-app behavior, segmentation by product usage, and personalization with real activity data. It bridges the gap between what users do in your product and what emails they receive.

Why It Matters

Without product data, email operates in the dark. You cannot send upgrade emails when users hit limits, onboarding nudges when they skip steps, or re-engagement when they go quiet. Product analytics integration enables behavior-based email that responds to what users actually do, not just what you guess they might need.

How It Works

Product analytics tools track user events and properties. This data can be synced to your email platform through direct integrations, APIs, or intermediary tools like Segment or Reverse ETL. Once connected, product events can trigger emails, and product attributes can personalize content and define segments.

Best Practices

  • 1Start with the events that should trigger emails (not all events)
  • 2Sync key user properties for segmentation and personalization
  • 3Ensure identity resolution works correctly across systems
  • 4Test the integration before relying on it for critical emails
  • 5Monitor for sync delays that could affect time-sensitive triggers
  • 6Document which events and properties are synced
  • 7Avoid syncing excessive data that clutters your email platform

Event API

Send product events directly to Sequenzy via API. Use any event as a trigger for email automation or for building behavioral segments.

Learn More

Frequently Asked Questions

Most major analytics tools (Mixpanel, Amplitude, PostHog) have integrations or APIs that can connect to email platforms. Intermediary tools like Segment or Customer.io can also bridge analytics to email. Check your specific platforms for available integrations.

Focus on data that drives decisions: activation status, last login, key feature usage, plan type, and subscription status. Sync events that should trigger emails (trial started, limit reached, feature used). Avoid syncing everything or your email platform becomes unwieldy.

Use a consistent user identifier across systems. Email addresses often work, but dedicated user IDs are more reliable. When a user is identified in analytics, the same identifier should exist in your email platform so data maps correctly.