Patreon is a digital-native platform connecting creators and fans at global scale. Leveraging a significant investment in Databricks, data powers everything from product discovery to revenue growth.   

The data science team, led by Martin Yamane, supports growth, engagement, revenue, marketing, and product analytics.  As the company scaled, a steady stream of simple-to-medium complexity questions began to crowd out deeper work.  As Martin explained, “The number of ad-hoc requests we were getting was pretty high and distracted us from the larger projects on our roadmap.”

Why WisdomAI?

Patreon evaluated multiple tools before selecting WisdomAI.  WisdomAI's tools — conversational analytics via chat, AI-powered dashboards, and Proactive Agents — were a meaningful differentiator.  For Martin, it came down to ease of use, ease of setup, and trust in the team. As he put it, "We felt like if we needed any custom solutions or had feedback, WisdomAI would be flexible with us." 

Results

Patreon connected four distinct datasets spanning growth, retention, engagement, and revenue — the kind of disparate data that typically requires significant wrangling, but with WisdomAI, the rollout moved fast. Within three months, Patreon expanded from 50 to 450 users. 

WisdomAI achieved 95%+ accuracy on queries — a dramatic improvement that Martin described as more than 50 percentage points better than prior attempts with other tools.  

Two use cases that changed how the team operates

Self-service:  

• Non-technical teams across the business can now ask data questions in plain language and get immediate answers — no analyst required, no ticket submitted, no waiting. 

  
  

• More than 50% of the everyday simple-to-medium complexity questions that previously landed on the data science team are now fully self-serve, allowing for a structural change in how the data team spends its time. 

"Live look-it-up" workflows:  

• During meetings and discussions, anyone can now pull a real answer in real time. "It's replaced a lot of dashboard usage," Martin noted. "In the past, people just wouldn't even know where to look. Now you don't have to worry about searching for anything. You can just ask."

The big picture

The downstream effect on the data science team has been equally important. With routine metric pulls removed from their plate, analysts and data scientists at Patreon can focus on deep-dive analysis, and other high-value work that requires their expertise, not their time.

When stakeholders can get answers themselves, decisions happen faster. When meetings don't stall on missing data, conversations stay strategic. And when the data team is freed from a high volume of routine requests, they do better work on the things that leverage their talent.

For Patreon:

• Stakeholders validate ideas faster

• Meetings are grounded in data

• Analysts focus on higher-value work

• Data feels more accessible across the company

As Martin puts it, “It’s made data more accessible to more people… and empowered grounded conversations.”