Amplitude

The Product Analytics Standard

Amplitude has become the default choice for product analytics at growth-stage and enterprise companies. Spotify, Walmart, PayPal, and NBC all use it. Why? Because it handles behavioral data at scale without breaking. When you're tracking millions of events per day across web and mobile, most tools choke. Amplitude doesn't. That reliability at volume is what justifies the investment.

Cohort Analysis That Drives Decisions

Behavioral cohorts are Amplitude's bread and butter. Group users by any combination of actions, properties, or timing. "Users who completed onboarding in the first 24 hours and used the export feature within 7 days" becomes a cohort you can track over time. Compare retention rates, conversion rates, and revenue across cohorts. This is how product teams figure out what drives long-term engagement.

Built-In Experimentation

Amplitude Experiment lets you run feature flags and A/B tests natively within the analytics platform. No more stitching together Optimizely data with your analytics tool. Ship a feature to 20% of users, measure impact on your core metrics, and roll out or kill it. The statistical engine handles multi-variant tests and automatically flags results when they reach significance.

Where Amplitude Gets Complicated

The learning curve is real. Non-technical team members need training to get value from the platform. Event taxonomy planning is critical. If you dump events in without structure, your data becomes a mess fast. Pricing on the Growth tier isn't transparent, and enterprise contracts regularly exceed $50K/year. The free plan is limited in data history and advanced features.