Customer Story

How ClassDojo Streamlined Revenue Planning with Causal

Series D


Using Causal, we feel more confident than ever in our revenue planning processes. We're now able to accomplish more, faster, and with tighter collaboration across the business.
Mike Overell
Head of Revenue
Greater confidence in accuracy
Improved growth forecast accuracy by 70%.
2 days saved per month
Monthly cohort and scenario modelling in a fraction of the time.
More time for product development
Time freed up to focus on optimizing product and customer experience

The Problem

With no in-house finance team, a new freemium offering (ClassDojo Plus) and a desire to better understand their drivers of growth, ClassDojo’s revenue team was inhibited by Google Sheet’s limitations.
Inability to run scenarios
As ClassDojo tried to add scenarios to their Google Sheets model, the number of calculations multiplied  with each new scenario added, resulting in a slow and overcomplicated model.
Difficulty managing cohorts
The ClassDojo team had difficulty managing their customer cohort model in G-Sheets as they tried to track LTV metrics and improve their retention curves. The manual nature of the model meant that the ClassDojo team was spending too much time building models with less confidence
No version control
Having to update actuals manually and create new versions each time assumptions were updated created confusion and increased risk to ClassDojo’s revenue planning processes

The Solution

With ClassDojo’s team eager to learn about their business in data driven and probabilistic ways,  it became essential for them to have the ability to have a model where assumptions could be quickly changed, to add and compare scenarios effortlessly and to share relevant and real-time dashboards and models in logical ways.
Detailed Cohort Modelling
With Causal, the ClassDojo team is able to effortlessly model and analyze multiple revenue lines, each having different characteristics. With each revenue model built as their own model, the team can now analyze projections at a granular and consolidated levels. These projections are then able to be layered in with dynamic scenario functionality so they can understand each case as they solidify their plans.
Automated and accurate cohort modelling
With connected data, easy to use formulas and automated cohort calculations, the ClassDojo team was able to finally gain confidence in their retention curves and metrics as they knew they were modelling in accurate and reliable ways.

The Outcome

Greater efficiency and accuracy, giving the finance team more time for strategic work
Strategic finance
With Causal’s revenue planning model humming in the background, ClassDojo can spend more time on what matters: building the best customer experience for their fast-growing community of students and their families.

With more time and fewer worries about data accuracy, they are able to free up resources to focus on product strategy and execution.
Continuous planning
With a small team focused on cross-functional collaboration, the ability to ‘de-mystify’ the revenue model with natural syntax language and linked formulas that actually make sense have allowed the product, engineering and data team to work better together as they focus on hitting targets and building ranges of confidence within their financial models.