Amplitude and Claude: Complete Product Analytics Guide

Find out if Amplitude is worth it, how to use it step by step to analyze your users' behavior, and how to supercharge it by connecting your data to Claude via MCP to ask questions about your analytics like you would a senior analyst.

Is Amplitude worth it?

Short answer: yes, especially if your priority is understanding user behavior inside your product. Unlike traditional web analytics tools (like Google Analytics, focused on sessions and page views), Amplitude focuses on events and users, which makes it ideal for product, growth and marketing teams.

Plans and pricing from their official site

Free plan (Starter): exceptionally generous. Includes up to 10,000 Monthly Tracked Users (MTU) and 2 million events per month, forever. No credit card required and it's not a temporary trial. Includes basic analytics, Session Replay, limited web experimentation and access to AI agents.
Plus plan: designed for small teams that have already found product-market fit. Scales to 70 million events, adds custom formulas, alerts, heat maps, 20 behavioral cohorts and 2 years of data retention.
Growth and Enterprise plans: custom pricing. Offer unlimited volumes, SSO (single sign-on), role-based access control (RBAC), real-time data sync and dedicated support.
Startup bonus: if you have fewer than 20 employees and less than $10M in funding, you can apply to the Startup Scholarship and get 1 free year of the Growth plan.

Verdict

It's well worth starting with the free plan. The only "catch": if your product scales quickly, monitor your event volume to avoid unexpected costs when you jump to the Plus or Growth plan.

How to use Amplitude step by step

Step 1: Setup and instrumentation

Create your account at amplitude.com and set up your first project.
Install the SDK in your application (Web, iOS, Android, React Native, etc.) or connect a data source like Segment, Snowflake or RudderStack.
Define your Tracking Plan: before sending data, decide which actions matter. For example: Registered, Completed_Onboarding, Added_to_Cart, Made_Purchase. Assign properties to each event (e.g., on Made_Purchase, add properties like amount, currency, payment_method).

Step 2: Behavior analysis (the 3 key tools)

Funnels (Funnel Analysis): visualize at which step users drop off a process (for example, from step 1 to 4 of checkout). It lets you identify bottlenecks.
Retention (Retention Analysis): measures how many users return to your product after performing an initial action (for example, 7- or 30-day retention). It's the king metric for measuring "habit".
User Paths: discover in an unsupervised way what users do before or after a specific event, revealing flows you may not have considered.

Step 3: Dashboards and collaboration

Group your most important charts into a Dashboard.
Set up Alerts to get notifications (via Slack or email) if a key metric (like daily purchases) suddenly drops by 20%.

Step 4: Session Replay and experimentation (advanced level)

Turn on Session Replay to see anonymous recordings of how users interact with your UI when they fail in a funnel.
Use Amplitude Experiment to run A/B tests or feature flags (progressive feature rollouts) while directly measuring their impact on your product metrics.

How to use Amplitude with Claude: the powerful combination

Amplitude has adopted the MCP (Model Context Protocol), enabling native, bidirectional integration with AI assistants like Claude. This means Claude can "talk" directly to your Amplitude data securely, without copy-pasting CSVs, and return real-time analysis to you. It's the same principle behind other tools we've covered, like the SearchFit SEO skill for Claude Code: connecting your data stack to an AI agent instead of jumping from tool to tool.

There are three ways to combine both tools depending on your technical comfort level and the type of task. I'll explain them in order, from the most powerful to the most manual.

Method A: native connection via MCP (recommended)

It's the most modern and fluid way to work, and it turns Claude into your on-call product analyst:

Download and install the Claude Desktop application or use Claude Code in your terminal.
Go to Settings > Connectors > Add custom connector and look for the official Amplitude MCP plugin.
Authenticate via OAuth to securely link your Amplitude workspace.
Start asking questions in natural language. Claude will query the Amplitude API in real time and return the chart or analysis directly in the chat.

Examples of what you can ask, by type of analysis:

Retention: "Show me the 7-day retention chart for users who signed up last week."
Funnels: "At which checkout step do users drop off the most? Compare last week's funnel with the week before."
Experiments: "Analyze the results of the latest A/B experiment on the pricing page and tell me if it's statistically significant."
Paths: "What's the most common path users follow right before canceling their subscription?"
Cohorts: "Create a cohort of users who signed up free 30 days ago and still haven't paid, and tell me what features they use."

Key advantage: being connected in real time, Claude doesn't work with frozen data: you can ask for the same analysis with different dates or filter by properties on the fly, and verify any figure it gives you before taking it as fact.

Security tip: the connector respects the permissions of your Amplitude workspace, so properly configure your team's roles so that Claude only reads the data it should (RBAC).

Method B: analyzing exported data (without MCP)

If you prefer not to configure connectors or you use the basic web version of Claude:

In Amplitude, create a chart or cohort and click Export > CSV or JSON.
Paste that data into Claude (or upload the file if you use Claude with file analysis capabilities).
Ask it to analyze, summarize or transform the data.

Useful prompts:

"Analyze this CSV of users who abandoned their cart. Identify 3 common patterns in their user properties and suggest 2 hypotheses to improve conversion."
"Convert this table of Amplitude events into a SQL query (or Amplitude Query Language) to replicate this analysis in our data warehouse."
"Summarize this daily retention CSV into 5 actionable ideas and rank them by priority (high/medium/low)."

Limitation: it's a manual flow with static data. It's ideal for one-off analyses, but if you need to query fresh data repeatedly, Method A is superior.

Method C: Claude as an instrumentation assistant

Before writing a single line of code, use Claude to design your analytics and implement it:

Tracking Plan design: "I'm building a project management SaaS for small teams. Act as a Product Manager expert in Amplitude. Generate a table with the 10 key events I should track, the properties each event should have, and a short description of why it matters for measuring growth."
Consistent naming: "Review this list of event names and propose a coherent naming convention (e.g., past-tense verbs in snake_case) to avoid duplicate events like 'click_button' and 'ButtonClicked'."
SDK implementation: "Show me how to initialize the Amplitude SDK in a Next.js app and how to log the login and sign-up events with their properties."

This way, Claude not only tells you what to measure, but also helps you name it well and write the instrumentation code, avoiding the classic "garbage in, garbage out" problem.

Method D: automated recurring analysis (Claude on duty)

Once you have the MCP connector configured, you can turn Claude into an analyst that watches your metrics on a recurring basis:

"Every Monday, analyze last week's D30 retention and let me know if there's a drop greater than 10% compared to the 8-week average."
"Review the onboarding funnel and tell me if the percentage reaching the 'Invite teammates' step went down compared to last month."
"Prepare a one-page executive summary with the 3 most important numbers of the week for the leadership team."

This flow turns product analysis into a routine, not a one-off event: Claude surfaces the anomalies and opportunities, and you decide what to do with them.

Key tips for success

Garbage in, garbage out (GIGO): invest time in defining a coherent Tracking Plan. If developers send events with inconsistent names (for example, click_button and ButtonClicked), your analysis will be useless.
Don't track everything: the free plan has a 2 million event limit. Don't send "mouse move" events or low-value telemetry data. Focus on actions that reflect user intent.
Leverage the ecosystem: if you already use tools like Slack, Jira, Salesforce or HubSpot, connect Amplitude to them to activate cohorts (for example, sending the list of at-risk users to your sales team).
Configure permissions before connecting Claude: the MCP connector respects the roles (RBAC) of your workspace, so review what data each team member can read before giving the AI access.

Frequently asked questions

Is Amplitude free?

Yes, it has a free plan (Starter) that includes up to 10,000 tracked users per month and 2 million monthly events, with no credit card and no time limit. Paid plans (Plus, Growth and Enterprise) add more capacity and advanced features.

Is Amplitude better than Google Analytics?

They're not the same thing. Google Analytics focuses on sessions and page views (oriented to web marketing); Amplitude focuses on events and individual users (oriented to product). For analyzing behavior inside your product, Amplitude is the more powerful option.

How do I connect Amplitude to Claude?

Amplitude has native MCP support: install Claude Desktop or use Claude Code, add the official Amplitude connector in Settings > Connectors and authenticate with OAuth. Once connected, Claude can query your data in real time. You can also export your data as CSV or JSON and analyze it in Claude without configuring connectors.

What is an event in Amplitude?

An event is any specific action a user performs in your product that you decide to track, such as Registered, Completed_Onboarding or Made_Purchase. Each event can carry properties that enrich it, like amount or payment_method.

Can I automate analysis with Claude?

Yes. With the MCP connector configured you can ask Claude for recurring analyses, for example reviewing D30 retention every Monday and notifying you if there's a drop greater than 10%, or preparing a weekly executive summary of your three most important metrics. This turns product analysis into a routine.

If this topic caught your interest, these guides might also help:

How to Install and Master the Superpowers Skill in Claude Cowork — the AI skills framework that applies TDD and systematic development so your agents plan, test and review their own code.
How to Use SearchFit SEO in Claude Code: Rank Your Gym with AI — scored SEO audits, keyword clustering and schema markup without leaving your editor.
OpenCode Go: price, usage limits and whether it's worth it in 2026 — an alternative to Claude worth knowing before expanding your portfolio of AI assistants.

Conclusion

Amplitude is an investment (of time or money) that pays for itself if your goal is to make decisions based on real behavioral data. And combining it with Claude's reasoning and synthesis capabilities through MCP will save you hours of manual analysis work: you'll be able to ask questions of your data as if you were talking to a senior analyst.