Case Study: ClassDojo achieves faster, more accurate revenue planning with Causal

How ClassDojo Streamlined Revenue Planning with Causal

ClassDojo, a B2C edtech company (198 employees, $191M raised) using a freemium model, struggled to run reliable revenue and cohort analyses without an in‑house finance team. Relying on Google Sheets left them unable to run multiple scenarios efficiently, made cohort/LTV and churn tracking error‑prone, and required manual versioning that slowed decision‑making. They turned to Causal for a dedicated revenue and cohort modelling solution.

Causal’s platform provided dynamic revenue modelling, automated cohort calculations, scenario planning, connected data, and natural‑language formulas so ClassDojo could build granular and consolidated projections, compare scenarios quickly, and trace outputs to inputs. The switch to Causal reduced monthly cohort and scenario modelling time (saving about 2 days per month), increased confidence in retention and LTV metrics, improved cross‑functional collaboration, and freed up team capacity to focus on product and customer experience.

ClassDojo

Michael Overell

Revenue Lead