Anamap
Anamap · Coding · Marketing
Anamap is an AI product analytics agent built for growth and product teams at Series A and B startups. Its analyst co-worker, Cartos, connects to the Google Analytics 4 or Amplitude data you already collect, then runs continuous investigations that explain what changed, why it happened, and which move to make next. As a product analytics tool, it skips the dashboard building. Instead, you get answers tied to real evidence.
About Anamap
What Is Anamap
Anamap is a continuous analytics layer that sits on top of the tools you already run. You keep GA4 or Amplitude, and Cartos reads that existing data to answer product questions without you writing a single query, sorting through event lists, or exporting anything into a spreadsheet. The pitch is simple: most teams collect plenty of data but still make important calls blind because nobody has time to dig.
The product targets smaller teams without a full-time analyst. Series A and B companies usually have the data but not the headcount, so questions about activation, retention, or a recent release pile up unanswered while everyone waits for the person who knows the dashboard. Cartos handles that backlog by investigating on its own and flagging what it finds.
The main limitation is scope. Anamap is a paid platform, and it works best when your event tracking is reasonably healthy. If your data is a mess, Cartos can detect problems, but you'll still need to fix the underlying tracking before the answers get sharp.
Getting Started
- Create an account at anamaps.com. No credit card is needed to explore the product.
- Connect your primary analytics source, either Google Analytics 4 or Amplitude.
- Let Cartos sync your data so it can build context around your funnels and events.
- Ask a real question about a launch, a conversion change, or a KPI movement.
- Review the investigation, then share the finding with your team through web, email, or Slack.
Product Information
A quick look at Anamap's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Product managers at Series A and B startups
- Growth teams without in-house analytics
- Founders who track KPIs personally
Tasks
- Post-release evaluation
- Root-cause investigation
- Experiment measurement
- Tracking health checks
Scenarios
- Someone asks "why did signups move this week" and nobody has time to dig
- A mobile onboarding redesign ships and the team wants proof it worked
- Leadership wants one clear next move from a pile of dashboards
Key features
Cartos, the AI Analyst Co-Worker
Cartos is the core of Anamap. It reads your existing analytics and answers product questions in plain language, explaining what changed and why rather than just showing a chart. Each answer comes with the evidence behind it, so you can check the reasoning instead of trusting a black box. No query writing. No waiting on an analyst.
Continuous Opportunity Discovery
Anamap doesn't wait for someone to remember a question. It keeps investigating segments, journeys, releases, campaigns, and behavioral shifts on its own. That means it can surface friction already costing money before anyone notices. What's the difference from a dashboard you check on occasion? Ongoing coverage.
Works With Your Existing Stack
You keep GA4 or Amplitude. Anamap connects to what you already use, so adopting it isn't a replacement analytics project. A quick setup, and you're live. Higher tiers add more connections, which matters when separate teams track different surfaces.
Release and Experiment Evaluation
After a launch, Anamap evaluates what actually happened so the next decision starts with evidence from the last one. It separates a real lift from noise by checking cohorts, acquisition mix, and device behavior, then tells you whether the result holds. The answer is usually blunt. Some launches work, and some don't.
Bad Data Resilience
Cartos checks the evidence behind its conclusions and investigates tracking problems directly. It detects impossible conversions, missing or renamed events, schema drift, and conflicting signals, then keeps corrected context from contaminating future work, so a broken event doesn't quietly skew every analysis that comes after it. Bad data becomes a finding instead of quietly wrong answers.
Persistent Business Context
The system remembers your funnels, releases, and past investigations. That memory means you don't re-explain your setup for every question, and it lets Cartos connect a current change back to something it flagged weeks ago. Context adds up.
Multi-Channel Delivery
Findings reach your team where they work. Anamap supports web, email, and Slack delivery, so product, growth, and leadership stay inside the same evidence-backed loop without copying screenshots into a doc. Everyone sees the same answer.
Pros and cons
Pros
- Answers come with the evidence behind them, so you can verify the reasoning instead of trusting a summary.
- Runs investigations continuously rather than only when someone asks, which catches problems earlier.
- Connects to GA4 and Amplitude, so you keep the analytics stack you already pay for.
- Unlimited company users on every plan, with no per-seat charge.
- Handles messy data by detecting tracking problems rather than producing confident wrong answers.
Cons
- No free plan, and the Starter tier starts at $415/month, which rules out very early startups.
- Sharp answers depend on reasonably healthy event tracking, so poorly instrumented products need cleanup first.
- Only two analytics sources (GA4 and Amplitude) are supported, so teams on other tools can't connect as easily.
- API availability isn't documented publicly, which makes custom integrations harder to plan.
Frequently asked questions
Anamap is an AI product analytics agent that investigates your existing analytics data to explain what changed, why it happened, and what your team should do next. Its analyst co-worker, Cartos, answers product questions using the GA4 or Amplitude data you already collect.
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