Super budget friendly software, would recommend to all startups!
Use Cases and Deployment Scope
Financial modelling made easy with Causal.
We had a very challenging use case which involved multiple products with multiple GTM strategies and Causal helped us to paint a picture of what this would look like whilst being able to dial up and dial down resources for what was required for each product to succeed.
The beauty of Causal is the ability to repeat model with ease.
Pros
- Time Series Analysis
- Working with numerous variables in ranges
- Sensitivity Analysis
Cons
- Lags and volatility in range calculations
- AI driven error checking through a model
- Some small bugs which were always flagged and ironed out
Likelihood to Recommend
Definitely suited best for B2B / B2B2C product modelling.
We used this for B2B / B2B2C / C2C and the C2C side of things was always more complex to model out due to this being dependent on marketing spend (CAC) and factors around virality which really cannot be forecasted (not a shortcoming of Causal, just implied by the mechanics of modelling).
