Interactive Amplitude Demo
Amplitude is a product analytics platform that tracks how people use a digital product. Teams use it to see which features drive retention, where users drop off in a funnel, and how behavior differs across segments, so product decisions rest on data rather than guesses.
What is Amplitude?
Amplitude is product analytics built to answer questions about behavior inside a product. You instrument your app to send events, such as a user signing up, opening a feature, or completing a purchase, and Amplitude turns that stream into charts about what people actually do. The focus is behavioral rather than page-view counting, which is the line between product analytics and traditional web analytics.
The analyses Amplitude is known for are funnels, retention, and segmentation. A funnel shows where users fall out of a multi-step flow. A retention chart shows whether people come back after their first visit and for how long. Segmentation lets you compare behavior across groups, like new versus returning users or by plan tier. Together these answer the questions product teams care about: what keeps people, what loses them, and which features matter.
Amplitude also offers cohorts you can act on, experimentation, and customer data infrastructure that has grown over time. The hardest and most important part is the tracking plan: deciding which events to send and how to name them. Get that right and the analyses are trustworthy. Get it inconsistent and the data becomes hard to rely on. Pricing scales with event volume, with a free tier that covers smaller products.
How to get started with Amplitude
- 1
Define what you need to learn
Before instrumenting anything, decide the questions you want answered, such as where users drop in onboarding or which feature drives retention. Those questions determine which events to track. Starting from the questions rather than tracking everything keeps your data focused and your tracking plan manageable.
- 2
Build a tracking plan and instrument events
Write down the events you will send and a consistent naming convention, then add the Amplitude SDK to your product and fire those events. This is the foundation, so agree the plan across product and engineering before coding. Consistent naming now prevents messy, untrustworthy data later.
- 3
Verify your data is flowing correctly
Use Amplitude's live event stream to confirm events arrive with the right names and properties as you use the product. Catching a misnamed or missing event here, before you build reports on it, saves you from drawing conclusions from broken data down the line.
- 4
Build your first funnel and retention chart
Create a funnel for a key flow like sign-up to activation, and a retention chart for whether users return. These two analyses answer the questions most teams start with. Reading them together shows both where you lose people and whether the ones who stay keep coming back.
- 5
Segment, share, and act
Break your charts down by segments like plan or acquisition channel to see where behavior differs, then share dashboards with the team so the insights drive decisions. The value only lands when the analysis changes what the team builds, so close the loop by tying a finding to a roadmap choice.
Who is Amplitude most useful for?
Amplitude is most useful for product managers, growth teams, and data analysts at companies building digital products with enough usage to learn from. A product manager uses it to decide which features to invest in based on adoption and retention rather than opinion. A growth team uses funnels to find the step in onboarding where people give up. The common thread is making decisions from how users behave, not from what they say in surveys.
It fits subscription and consumer products especially well, where retention is the metric that determines whether the business works. Seeing exactly how a cohort's usage decays over weeks, and how a feature changes that curve, is the kind of insight Amplitude is built to surface. For teams trying to improve onboarding, pairing those funnel insights with an interactive Supademo walkthrough can address the exact step where users drop.
It is less suited to very small products with little traffic, where there is not enough behavior to draw conclusions from, or to teams that only need basic traffic numbers that a simpler web analytics tool covers. It also rewards investment: without a thought-out tracking plan and someone who owns analytics, the tool can sit underused while the team keeps guessing.
Analytics tools range from product behavior platforms to all-in-one suites that bundle replay and feature flags, so the right pick depends on how deep your behavioral analysis needs to go and what else you want in one place.
Mixpanel is Amplitude's closest competitor, covering the same core of event-based funnels, retention, and segmentation. The two are often shortlisted together, and the choice tends to come down to specifics of the interface, pricing, and which team finds the analysis flow more natural. Both reward a clean tracking plan and both target product and growth teams.
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PostHog combines product analytics with session replay, feature flags, and experimentation in one open-source-friendly platform, and can be self-hosted. Teams that want behavioral analysis plus those adjacent tools without buying several products lean toward it. Amplitude goes deeper on pure analytics, while PostHog wins on breadth in a single tool.
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Google Analytics is free and strong on acquisition, traffic sources, and marketing attribution, which is a different job from product behavior. Many teams keep it for the marketing side and add Amplitude for in-product analysis. As a standalone product analytics tool it is more awkward, so it complements Amplitude more than it replaces it.
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Heap takes a different approach by automatically capturing every interaction, so you can analyze events retroactively without having instrumented them in advance. That reduces the upfront tracking-plan work but can create noise to sift through. Teams that dislike planning events ahead of time find the autocapture model appealing compared with Amplitude's deliberate instrumentation.
FAQs on Amplitude
Commonly asked questions about Amplitude. Have more? Reach out and our team will be happy to help.
How is Amplitude different from Google Analytics?
Amplitude vs. Google Analytics comes down to product behavior versus web traffic. Google Analytics is strong on page views, traffic sources, and marketing attribution. Amplitude is built around user actions inside a product, so it answers questions about feature adoption, funnels, and retention that GA handles awkwardly. Many teams run both: GA for acquisition and marketing, Amplitude for understanding what users do once they are in the product.
What is a tracking plan and why does it matter?
A tracking plan is the agreed list of events you send to Amplitude and how they are named and structured. It matters because the quality of every analysis depends on it. Inconsistent or sloppy event tracking produces charts no one trusts, while a clean, well-named plan makes funnels and retention reliable. Most teams that struggle with Amplitude are really struggling with their tracking plan, so it is worth the upfront effort.
What can Amplitude tell me that I cannot see otherwise?
Amplitude surfaces behavioral patterns that are hard to see in raw data: exactly where users abandon a funnel, whether a cohort keeps coming back over weeks, which features correlate with retention, and how different segments behave. These answer the product questions that drive roadmap decisions. The point is moving from guessing why users churn to seeing the step where they actually leave.
Is Amplitude free?
Amplitude has a free Starter plan with a monthly event limit that covers smaller products and lets a team learn the tool. Paid plans scale with event volume and unlock more advanced features like experimentation and larger data retention. For a growing product, cost rises with how much you track, so the tracking plan affects both data quality and the bill.
How much engineering work is involved to set up Amplitude?
Setup requires instrumenting your product to send events, which is engineering work, though SDKs and integrations with customer data platforms reduce it. The bigger investment is deciding what to track and keeping it consistent as the product changes. A team that treats analytics instrumentation as part of shipping features, rather than a one-time project, gets far more out of Amplitude than one that bolts it on once and forgets it.