Drive your product with actionable data

Track how new features impact your key product metrics

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Collect your data

1. COLLECT YOUR DATA
Connect to your existing analytics tool to retrieve metrics.

Activate the feature

2. DEFINE YOUR KPI
Define your most important product KPIs and map them with your metrics.

Ensure your feature works well

3. TRACK SOME FEATURES
Specify the feature you want to follow and its main objectives.

Iterate and improve

4. LEARN ON INSIGHTS
Evaluate the impact of each feature on your metrics and goals.

Data analysis should be easier

You have the data, we make them actionable


You have lots of data but no time to correlate them with your last releases.
You don't have to wait for a data scientist to help you know which feature is performing well, or which one is useless.
Measure the impact of your new features on one single interface, without aking your developers.

Smart Correlation

Define your objectives and key metrics for each new feature.

Retrieve metrics per feature on one single interface.

View the growth on your KPIs before vs. after each feature.

Makitoo dashboard

Easy integration

Connect to your existing analytics tool (Segment, Mixpanel, Google Analytics, etc.).

Add more data sources to gather everything in one place (CRM, APM, etc.).

Integrate them without any coding skills, thanks to our connectors.

View on a specific bucket

Beta testing

Release some features only for some users to run a beta test.

Target some user segments for the feature activation.

Evaluate the impact of the feature (with vs. without) to iterate faster.

View on a detailed report

Why using Makitoo?

French Institute for Research in Computer Science and Automation
Top-notch technology

Makitoo technology is based on years of research carried out at INRIA.

Agility

Makitoo enables you to quickly understand which features matter in a few clicks.

Data-driven

Makitoo provides you actionable reports on your product improvements, without coding skills.

Simplicity

Makitoo is made for enabling Product Managers to do data science by themselves on their product.

Try it, you will love it!

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