How Decentro (YC S20) increased their ARR and Gross Margin visibility with Mantys (YC W23)

Quick highlights:

- Mantys is an ARR tracking & forecasting tool for SaaS and consumption based business models.
- Existing Decentro solution was very manual and didn’t give them day to day visibility
- Huge data volumes meant the solution needed to be both flexible and robust
- The team feel confident they can get what they need from Mantys faster than they could from Metabase and Excel
- Data from Streak and Metabase consolidate in Mantys along with in built pricing structure in Mantys for a full picture of their Customer wise revenue and Gross Margin

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‍The Full Story: 

Decentro (Y-Combinator S20), is a Banking-as-a-Service platform that helps banks and fintech companies choose the right modules for their business, test them in their sandbox, and launch their product with our APIs & SDKs, all in a matter of days.

“Senior execs have picked up very quickly and enjoy how they can look at data in different ways. The team checks our Mantys dashboards on a regular basis."

We started working with Decentro (YC S20) a few months back when they started scaling up and were experimenting with different products. Decentro has a consumption based model and multiple products further increases the complexity. They have a software arm and a payments/collection i.e. transaction arm. Daily revenue and cost depends on a lot of parameters.

When we started working with them, Decentro was struggling with:

• Real time visibility of their customer wise churn and revenue
• Cohort analysis
• Targets vs actuals and giving that visibility to stakeholders across the company
• Manual effort needed to get visibility on metrics

Mantys helped Decentro by:

1. Integrating with different data sources and getting all the data at one place
2. Integrate with sources like Streak, Metabase and Excel
3. Running sync on a near real time basis to give real time visibility
4. Configuring metrics and creating a pricing structure to cater to their unique usage based business model
5. Configured custom metrics(Booked ARR, Billed ARR, cost, LTV, etc.) based on their definitions
6. Created an editable pricing and cost structure to accomodate different parameters
7. Track usage on a daily basis to give daily revenue and cost
8. Giving visibility and access to different stakeholders:
9. Track targets vs actuals
10. Track sales owner wise revenue and GM and increase accountability

What’s next?

• Build segment wise cohort analysis
• Do their revenue planning on the platform