When your KPIs shift, do you know precisely why?
It can be particularly challenging to understand why a KPI has changed because there are so many things typically going on - marketing campaigns, experiments, changes in the user population, seasonal influences, etc. As a result, data teams spend weeks trying to determine the reason behind KPI changes using traditional methods.
The problem is that these methods fail to capture the complex interactions driving KPI shifts, and in the interim, the company could be losing money.
At Loops, we’ve developed a breakthrough approach that takes Root Cause Analysis from Contribution to Change (CTC) to in-depth Explainability Scoring (ES), a next-level RCA metric that quantifies and prioritizes the proportional drivers behind KPI trends and anomalies.
Join us for an Exclusive Data Science Webinar
Thursday, April 17, 2025: 9 am - 10:30 am PT
What You’ll Learn:
- The Challenge of CTC – Why traditional attribution models fall short
- Calculating Contribution to Change – core components and formulas for CTC
- The Explainability Score (ES) – Loops’ innovative multi-factor, segment size-based, impact quantification formula
- Statistical Guardrails – Rigorous statistical and business relevance filters for accuracy
- Real-World Validation – The real-life use cases that validated the approach.
- Step-by-Step Formulas & Methodology – A deep dive into the math behind RCA
You'll also have time to ask questions in our Q&A session.
Meet the Experts:
🔹 Simon Trudeau, Head of Data and Optimization at Wahi
🔹 Tom Laufer, CEO of Loops (Host)
🔹 Itay Sisso, PhD, Senior Data Scientist at Loops
Who Should Attend?
This session is designed for VPs of Analytics, Data Scientists, Analysts, and Product and Growth Leaders, looking to understand the WHY behind KPI changes.
✅ Stop guessing. Know WHY your KPIs are changing.
📅 Secure your spot today!
