Google Analytics and Amplitude answer different questions. Google Analytics (GA4) tells you where users come from and how they navigate your website. Amplitude tells you what users do inside your product and why they stay or leave. The distinction matters because the tools you choose shape the questions your team asks.
Most product teams eventually need both, but budget and team capacity often force a choice. The right pick depends on whether marketing attribution or product behavior is your primary analytics need. For understanding which metrics matter, see the guide to product metrics.
Quick Comparison
| Dimension | Google Analytics (GA4) | Amplitude |
|---|---|---|
| Best for | Marketing teams, web traffic analysis | Product teams, in-app behavior |
| Core model | Sessions + Events | Events + Users |
| Pricing | Free (GA4), $150K+/yr (GA4 360) | Free (10M events/mo), Growth ($49+/mo) |
| Funnel analysis | Basic | Advanced (multi-step, conversion windows) |
| Cohort analysis | Limited | Purpose-built |
| Retention analysis | Basic | Advanced (N-day, unbounded, custom) |
| Segmentation | Audiences (limited) | Behavioral cohorts (powerful) |
| Attribution | Built-in (multi-touch) | Basic |
| Path analysis | Path exploration | Pathfinder (visual, interactive) |
| Real-time | Yes | Yes |
| Data export | BigQuery (free) | Snowflake, S3, BigQuery |
| Learning curve | Moderate (GA4 is complex) | Moderate |
Google Analytics (GA4): Deep Dive
Strengths
- Free and full-featured. GA4's free tier includes event tracking, funnel analysis, path exploration, audience building, and BigQuery export. No other analytics platform offers this breadth at zero cost
- Marketing attribution. Multi-touch attribution, campaign tracking (UTMs), and conversion modeling are built-in. Marketing teams can tie spend to results without a separate attribution tool
- BigQuery integration. Free raw data export to BigQuery enables custom SQL analysis without data limits. Teams with SQL skills can build analytics that neither GA4 nor Amplitude surface through their UIs
- Google ecosystem. Native integration with Google Ads, Search Console, and Looker Studio. For teams running Google Ads, the attribution loop is native
- Massive adoption. GA is installed on most websites. Documentation, tutorials, and community knowledge are abundant. Finding someone who knows GA4 is easier than finding Amplitude expertise
Weaknesses
- Session-centric legacy. Despite GA4's event-based model, its reporting still leans toward sessions, pageviews, and traffic analysis. Product-level questions (feature adoption, user retention, behavioral cohorts) are awkward to answer
- Weak cohort analysis. GA4's cohort exploration is limited compared to Amplitude's. Building behavioral segments based on in-product actions requires workarounds that Amplitude handles natively
- Complex UI. GA4's interface confuses even experienced analysts. The Explore section is powerful but unintuitive. Reports require configuration before they're useful
- Sampling at scale. GA4 samples data in explorations when datasets are large. This introduces imprecision that product teams relying on exact numbers find unacceptable
Amplitude: Deep Dive
Strengths
- Behavioral analytics depth. Amplitude was built for product teams. Funnel analysis with conversion windows, retention curves (N-day, unbounded, custom bracket), and behavioral cohort creation are first-class features
- Cohort analysis. Define cohorts by any combination of behaviors, properties, and timeframes. "Users who completed onboarding in the first 3 days and used Feature X at least twice in week one" is a native query, not a workaround
- Pathfinder. Visual path analysis shows the most common user journeys through your product. Identify drop-off points, unexpected paths, and feature discovery patterns interactively
- Team collaboration. Shared dashboards, notebooks, and team spaces make analytics a collaborative activity. PMs, designers, and engineers can explore data without gatekeeping
- Generous free tier. 10 million events per month covers most startups and mid-size products without paying anything
Weaknesses
- No marketing attribution. Amplitude tracks what happens inside your product but doesn't model marketing attribution, campaign performance, or ad spend ROI. You still need GA4 or a marketing analytics tool
- Expensive at scale. Growth plan pricing increases with event volume. High-traffic products can face significant costs as they scale past the free tier's 10M monthly events
- Implementation effort. Getting value from Amplitude requires thoughtful event taxonomy design. Unlike GA4's automatic pageview tracking, Amplitude needs deliberate instrumentation
- Smaller ecosystem. Fewer integrations, fewer community resources, and a smaller talent pool compared to Google Analytics. Hiring analysts with Amplitude experience is harder
When to Choose Google Analytics
- Marketing attribution and traffic analysis are your primary needs
- You run Google Ads and need built-in campaign tracking
- Budget is a hard constraint and free matters
- Your team already has GA4 expertise
- Web analytics (traffic, sources, landing pages) is more important than in-product behavior
When to Choose Amplitude
- You're a product-led company where in-app behavior drives decisions
- Feature adoption, user retention, and behavioral cohorts are critical questions
- Your PM team needs self-serve analytics without SQL
- You need to understand why users convert, retain, or churn
- Your product has 10M+ monthly events and you can budget for Growth tier
For a related comparison, see Amplitude vs Mixpanel for product analytics alternatives. Understanding the HEART framework can help structure which metrics to track in either tool.
The Verdict
Google Analytics and Amplitude aren't competitors. They're complements. GA4 is the right tool for understanding traffic, acquisition, and marketing performance. Amplitude is the right tool for understanding product usage, retention, and user behavior. If forced to choose one, product-led companies should pick Amplitude. Marketing-driven businesses should pick GA4. Most successful product teams run both.