Too Good To Go connects customers to restaurants and stores that have surplus unsold food so less food goes to waste. With product analytics laid out in canvases on Count, deep product insights can be surfaced quickly.
Before adopting Count, the product analytics team at Too Good To Go faced considerable challenges centralizing all the data they needed and then sharing it with the broader organization. This often resulted in the manual export of data to Google Sheets sent out via email.
With Count’sintegrations, the team brings together data from their MySQL databases, third-party platforms like Salesforce, and external APIs into a unified analytical environment that everyone can access with a link. This consolidation has drastically reduced the time and complexity associated with data preparation, enabling analysts to spend more time deriving insights.
“What used to be a disjointed and time-consuming process is now seamless and intuitive, allowing us to pull together data from diverse sources effortlessly." - Dan Redgate, Head of Partner Product Analytics
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Faster Product Analytics
With their previous data stack it was impossible to refresh the data and instantly see how it was updating. With Count product analysts can now build complex queries and models using SQL and Python to visualize the results instantly. They can compose these into reports complete with filters, date pickers, and more to segment and explore their data in real-time.
This allows the team to rapidly iterate on their hypotheses, explore data from multiple angles, and uncover hidden patterns and trends with unprecedented speed.
"The real-time analysis capabilities of Count have been a game-changer for us. We're now able to iterate and explore data dynamically, uncovering insights that were previously out of reach." - Dan Redgate, Head of Partner Product Analytics
Sharable Product Analytics
One of Count's most impactful features for Too Good To Go has been how easy it is to share a Count canvas across the product analytics team and beyond. Analysts can share raw analyses with colleagues and polished intuitive dashboards to the entire org. This ensures that insights are not siloed but are instead leveraged across teams to inform product decisions and the overall strategy of the company.
"Count has become an indispensable tool in our analytics arsenal, empowering us to make faster, more informed decisions that drive our mission forward." - Dan Redgate, Head of Partner Product Analytics
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