Crazy Egg vs Segment

What Crazy Egg is

Crazy Egg records how visitors scroll and click, producing heatmaps and session recordings. Heatmaps answer a specific question — where attention actually goes on a page — that a numbers dashboard cannot. It is a diagnostic tool rather than an analytics system, so it complements rather than replaces traffic reporting.

What Segment is

Segment (by Twilio) is the world's leading Customer Data Platform (CDP). It allows you to collect data from your website or app once and send it to hundreds of other tools (Google Analytics, HubSpot, Mixpanel, etc.) with the flip of a switch. It acts as a central hub for your customer data, ensuring consistency across your entire marketing and analytics stack. Segment removes the need for developers to constantly install new tracking snippets, making your data more reliable and your site faster.

What Crazy Egg is built to do

Click and scroll heatmaps

Visualises where visitors click and how far they scroll.

Session recordings

Replays individual visits to see where people struggle.

A/B testing

Runs simple page tests without developer involvement.

What Segment is built to do

Segment Connections

Link your web/app data to hundreds of marketing and analytics tools instantly.

Protocols

Enforce a strict data schema to prevent 'messy' data from entering your stack.

Personas

Build a unified, 360-degree view of every individual customer in real-time.

Functions

Write custom code to transform or filter data as it moves between sources.

Choose Crazy Egg if

• Teams that want to see how a page is used, not just how many visited.

Choose Segment if

• Data Engineers and Growth Marketers.

Crazy Egg: pros & cons

• Heatmaps are easy to read and share
• Session recordings show real behaviour
• Simple A/B testing included
• Sampling limits on lower plans
• Recordings raise privacy questions
• Less depth than full analytics

Segment: pros & cons

• One API: Write your tracking code once and send it to over 400 different tools.
• Data Consistency: Ensures every tool in your stack sees the exact same data.
• Developer Productivity: No more installing a new 'pixel' for every marketing request.
• Privacy Control: Easily filter out or mask sensitive user data before it leaves your server.
• High Cost: Can become exceptionally expensive for high-traffic applications.
• Complex Setup: Requires a very disciplined approach to naming and data schema.
• Latency: While optimized, adding another layer to your data flow can introduce slight delay.