Most PE-backed SaaS exits start too late: EBITDA focus at eighteen months, a numbers clean-up at twelve, pipeline theatre at six and an Information Memorandum written three months out. This guide argues that SaaS exit readiness is an operating discipline that should begin two to three years before a process, and sets out the evidence a buyer will test: net revenue retention, a scalable commercial model, operational maturity, a proven land-and-expand motion and AI capability with EBITDA proof. It draws on the EY 2026 Global PE Exit Readiness Study, KPMG's 2026 dealmaker survey, SaaS Capital and Software Equity Group valuation data, and sets out the three questions every exit IM must answer under buyer diligence. Written by James Lawson of River Consultancy Group for founders, CEOs and PE operating partners planning a SaaS exit.

Most SaaS growth targets fail from lack of pacing, not lack of effort. This post uses a marathon pace band analogy to explain what 10 to 25% ARR growth actually takes for founder-led and PE-backed SaaS businesses: why plans outrun delivered growth, and how ICP discipline, expansion loops and OKR alignment must be paced against each other rather than pushed at maximum effort. It draws on Benchmarkit, Maxio, SaaS Capital, High Alpha and Startup Genome data, including median private SaaS growth of 22 to 26%, rising new customer CAC, the 40% share of new ARR now coming from existing customers, and the link between net revenue retention and growth. It then shows how the Revenue Strategy Lab and an embedded Fractional Growth Partner build a paced growth plan that holds.

Many European SaaS businesses call themselves AI-powered, but few can show the EBITDA impact of their AI investment or explain why their capability is defensible. This post explains why AI due diligence and technology stack diligence will become a standard exit risk for PE-backed software companies, what buyers such as strategic acquirers and growth equity firms are already asking, and what a genuine AI readiness assessment covers: data infrastructure, operating processes, change management and the commercial model. It draws on Grant Thornton, Mayer Brown, Gartner, McKinsey and MIT NANDA research, sets out five AI use cases tied to net revenue retention and cost lines, and explains how the EU AI Act timeline and AI governance affect deal readiness. Written for founders, PE operating partners and growth leaders preparing for exit.

Most SaaS leaders still report Net Promoter Score to their board, yet investors price something different: net revenue retention. This post explains why a customer health score built on NPS fails to predict renewal, which behavioural signals actually forecast churn and expansion (product engagement depth, time to value, stakeholder breadth, expansion velocity and support ticket patterns), and how net revenue retention drives SaaS valuation multiples for private equity and equity-backed SaaS businesses. Drawing on research from Gainsight, Benchmarkit and Software Equity Group, it shows how to rebuild a customer health score into a revenue-predictive model, back-test it against real renewals, and give growth revenue a clear owner so your customer success metrics tell a story investors can underwrite.

This 100-day post-acquisition SaaS playbook is built for PE operating partners, portfolio operators, and management teams navigating the critical first months after a SaaS acquisition, drawing on direct experience across 62 portfolio companies to show why the strongest post-acquisition outcomes come from diagnosing before prescribing rather than rushing to install a pre-built growth plan. Covering the real drivers behind early NRR decline, sales rep attrition, ICP drift, and inflated pipeline conversion problems, the piece breaks down the sequencing that separates portfolio companies creating measurable value fast from those still firefighting at month eighteen, and explains why SaaS businesses are uniquely vulnerable to hidden operational fragility that ARR alone won't reveal for six to twelve months. Written for PE firms, operating partners, and SaaS leadership teams managing post-acquisition integration, customer success scaling, and commercial due diligence, this is a practical framework for the first hundred days rather than generic M&A advice, grounded in what actually happens inside SaaS businesses once the deal closes.