Mantys: ARR reporting and forecasting tool for SaaS companies

Hey everyone!

We are excited to Launch Mantys to all of you!

Mantys helps SaaS startups get real-time visibility of their ARR Cycle. If you struggle to know what your contracted, live and realised ARR are at given point of time or need to go through a lot of manual effort to reach there, we can help you.

Problem:

As companies grow, revenue is not just revenue, it is Contracted ARR, Live ARR, Realised ARR, Churn, expansion, etc. and it becomes increasingly difficult to keep a track of them due to:

• Data sitting in disparate locations: Contracted ARR sits in CRM(Salesforce/Hubspot), Billed ARR sits in a billing software(Stripe, Chargebee), Churn sits in CS software(Gainsight) or Excel sheets, so on and so forth.
• Most of the tracking ends up happening in Google/Excel sheets which leads to dependency on individuals, high chance of errors and inability to handle multi-dimensional data
• Difficult to forecast complex business models: SaaS has matured and there are complex pricing models like usage based, hybrid emerging which makes customer level forecasting even more difficult.

As a result, founders/CFOs are not able to answer fundamental questions like what their ARR is, how much is actually realised, what is the onboarding cycle, how will it impact cash flow etc. at any given point of time leading to governance issues and lack of actionable insights. It takes them 5-7 days every month to just compute revenue metrics.

The solution

Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR.

We enable them to:

• Establish a single source of truth and automate processes: Integrate with CRM, Accounting and Billing software to get real time visibility of your Contracted ARR, Billed ARR, Realised ARR, Unearned ARR, Expansion, Contraction, Churn, etc., broken down at customer & cohort level and use the data cleaning layer to reduce 80% of manual effort
• Get actionable insights and take corrective action faster: Know the exact cycle between Contracted to Billed to Realised and reasons for discrepancies for different dimensions like time period, region, industry, etc,. and take actions preemptively to avoid accidents
• Simulate different what-if scenarios in minutes and forecast: Build different scenarios to see how Bookings will translate into billing and cash flow and forecast at a customer/cohort level taking into consideration both revenue and usage data

We know every business is complex and has it nuances. We have however, solved this problem for multiple Series A+ SaaS companies like MoEngage, Locus, etc. and have identified patterns for data cleaning and transformation across businesses. And we know how to handle them.

• Recording Unbilled or unearned entries? Just enter on the system
• Usage based revenue? Integrate your usage data
• Don’t have a common identifier across systems? We can handle it.
• Multiple entity or currency issues? Don’t worry, we will convert it.

And we provide best-in-class templates which help SaaS startups get up and running in days with very minimal effort involved from their end.

Our ask:

• Have trouble figuring out your ARR lifecycle? Schedule time to chat here: https://calendly.com/kriti-25/kritiarora_mantys
• If you know any growth stage SaaS company who might be a fit, please introduce us.