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Description

A powerful and free web analytics platform that tracks traffic, usage data, goals, funnels, and user paths to help designers and product teams understand how users interact with their products.

Market positioning

Dominant web analytics platform used globally across all industries

Target audience

Designers, product managers, marketers, and developers who need broad traffic and behavioral analytics

Use cases

A powerful and free web analytics platform that tracks traffic, usage data, goals, funnels, and user paths to help designers and product teams understand how users interact with their products.

Company information

Company size

Large Enterprise

Revenue

$350B+ (Alphabet Inc. annual revenue)

Scale

Global

Number of users

50M+ websites globally

Features

Behavior flow diagrams, Funnel visualization, Goal setting and conversion measurement, Out-of-the-box data collection, Traffic and usage tracking, User path analysis

Pricing

Pricing modelFreemium
Starting price$0 (Free); Google Analytics 360 starts at ~$50,000/year
Billing periodFree tier available; Google Analytics 360 billed annually

Rating

4.5/5

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • Free to use
  • Collects extensive data out of the box
  • Widely adopted and well-documented
  • Powerful goal and funnel tracking
  • Retroactive data availability

Cons

  • Overwhelming for non-technical users
  • Not tailored for design-specific research
  • Lacks qualitative insights
  • Data sampling issues at scale

Feature Comparison

Top features across 20 competitors (most common first)

Feature Google Anal…FullStoryMixpanelCanvaFigmaGoogle Shee…IntercomAI-Powered …DovetailFigma AIInVision Bo…Adobe Firef…SegmentAwesome Scr…MidjourneyWufooDALL-E 3BrandMapO'Reilly Le…MyFitnessPal
AI-powered design automation
Text-to-image generation
Cloud-based collaboration
Prototyping and wireframing
Behavior flow diagrams
Funnel visualization
Goal setting and conversion measurement
Out-of-the-box data collection
Traffic and usage tracking
User path analysis
Advanced session filtering by user attributes and pages visited
Onboarding flow analysis
Session recording and playback
Support trigger analysis
User behavior observation
User segment filtering
Cohort analysis
Event and action tracking
Feature impact measurement
Funnel analysis