Data as a Differentiator for a Successful Insurtech Exit

Natalie Cramp explains why a robust data approach is now essential for insurtechs seeking successful private equity exits

Contributor

Natalie Cramp

Partner, JMAN Group

Private Equity firms are setting their sights on the insurtech market as they seek to consolidate market share and overtake competitors. Their strategy? Data.

In a new article for Insurance Edge, Natalie Cramp Partner at JMAN Group, unpacks why a strong data strategy has become a non-negotiable for insurtechs aiming for lucrative exits, particularly when engaging with PE. Natalie says that simply showcasing top-line growth is no longer sufficient; investors need more, and using AI to process data is the foundation for compelling value stories and higher valuation multiples.

This article examines exactly what discerning investors are looking for, from the crucial ARR bridge and sales pipeline reporting to pricing model defensibility and product usage insights.

You will learn:

  • Why a robust data strategy is now a fundamental requirement for securing a high-value insurtech exit with PE firms
  • Which specific data points and analyses are most critical for investors.
  • How demonstrating the leverage of data for AI applications can significantly enhance an insurtech’s valuation potential.

If you are ready to unlock your insurtech’s full exit potential, read the full article in Insurance Edge.

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Prep for Exit

Maximize valuation and de-risk transaction with robust, extensive and high-quality data
  • Does the target have the data assets required to drive value creation (including Al deployment)?
  • How do I get better data on my target and the wider market?

Value Creation

Accelerate value creation plan delivery using Data, Machine Learning & Gen Al
  • How do I use a data-driven approach to make my business more profitable?
  • How do I achieve as high a multiple as possible ?

Core Reporting

Track company performance and quantify value creation leavers with accurate real time data from automated systems
  • How can I get a real-time, detailed and consistent... view of my operational and financial metrics?
  • What is happening in our portfolio companies and across our fund?

Data Advisory

Balance short-term extraction of value from data with laying the right digital foundations.
  • How do I assess the maturity of my data foundations and value creation plan levers ?
  • How can I collaboratively create and deploy a roadmap of value-first initiatives that pay for future foundational investments?

Due Diligence

Understand target's market position and ability to execute their business plan
  • Does the target have the data assets required to drive value creation Including Al deployment ?
  • How do I get better data on my target and the wider market?