
How Moody’s boosted revenue and cut analytics implementation by 90% with Avo
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"With Avo ensuring the quality of our data structures, we launched our GenAI product months ahead of schedule—unlocking millions in additional revenue.”
– Cristina Pieretti, General Manager, Head of Digital Insights at Moody's
Moody’s has evolved from a traditional credit ratings agency to a modern powerhouse in financial insights. Through an enormous volume of proprietary research, user interaction data, financial information, and company insights, Moody’s powers its GenAI-enabled research assistant—helping Moody's customers find answers faster and surface relevant content more efficiently.
The Challenge: Slow, manual data collection workflows that led to missed insights
Slow, manual data collection workflows that led to missed insights
When Dan Kaminski joined Moody’s as Senior Director, Head of Data Intelligence, the team was drowning in manual processes. All analytics tags were hardcoded – with documentation either non-existent or scattered across spreadsheets. Product managers felt removed from the process, and engineers struggled to decipher what tracking to deploy and how.
“There were spreadsheets flying around everywhere. Nothing was standardized or scalable.”
– Dan Kaminski, Senior Director, Head of Data Intelligence
The Solution: Streamlined tracking deployment in Avo to keep analytics in sync with product releases
Dan’s team implemented a new, end-to-end workflow for shipping analytics, using Avo as a single source of truth. Under the new system, product managers define events on a branch in Avo, Dan’s team comes in to review and approve and engineers then use Avo Codegen to implement tracking. All in a fraction of the time it took previously.
“We've cut the tracking deployment time for new features by 90%. We document events in Avo, merge to main, and engineers click a button. It just works.”
– Dan Kaminski
Once they’re defined in Avo, events flow into Adobe Analytics for reporting and downstream in Snowflake. From there, Moody’s data team can transform data in dbt and surface it in Power BI for data consumers. The result: stakeholders across the business get easy access to high-quality product analytics they can rely on.
The Results: High quality data, faster, which boosted revenue
- 90% faster implementation
- Zero delay in post-launch tracking
- Streamlined collaboration across functions
- Freed up time for strategic analytics
- Millions in new revenue generated
With Avo, the analytics team no longer has to chase down product managers or re-train engineers. Event tracking has become a seamless part of the development cycle, enabling them to capture critical insights from the very first user interactions after launch.
“Tracking now goes live with the feature launch. It’s a game-changer; In those first few days of engagement, there’s so many crucial insights you don’t want to miss.”
– Dan Kaminski
This new setup allowed Moody’s to move beyond the basics to advanced analytics. With a more reliable foundation, Dan and his team were able to pursue more strategic and exploratory tracking and experimentation that was previously too tedious or error-prone to implement.
From great data to great outcomes.
With reliable event data in place–delivered 90% faster, thanks to Avo–Moody’s was able to launch a GenAI-powered research assistant inside their CreditView product months ahead of schedule.
“Avo has allowed us to actually spend time doing what we were hired to do—leveraging data for real business impact."
– Dan Kaminski
Moody’s now relies on Avo to ship high-quality tracking alongside every product release. This ensures every team gets the insights they need, when they need them, and guarantees that strategic decisions and data-driven initiatives are based on trustworthy, consistent data from across the organization.

Industry
Financial Services
Company size
10,001+
Location
New York, NY
Tech stack
Avo, Adobe Analytics, dbt, Snowflake, Power BI
Key takeaways
- 90% faster tracking implementation
- Reliable tracking for feature releases live from day one
- Seamless collaboration across product, data, and engineering
- Millions in new revenue generated
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