Anonymised flagship case study
A €900m, 5.5-million-customer base, rebuilt from transaction data. The flagship example of the methodology in practice.
See the evidence →The work behind growth programmes around the world with Keystone Partners. Now used to show investors what the revenue is actually worth and where the risk is already building.
We've spent two decades inside the customer bases of listed consumer, subscription, streaming, loyalty, financial services, and retail businesses. Keystone IQ reads customer bases the way an investor needs them to read - because we've sat on the operator side of every question PE buyers ask.
We analyse distributional movement across five behavioural metrics - frequency, total spend, breadth of purchasing, recency, and order value - over 12 to 48 months of observed transaction data. Not assumed probability models. Not survey-based proxies. Observed behaviour, at the individual customer level.
AI is absorbing cohort math, segmentation, and pattern recognition. The operator judgement above it - knowing what a movement pattern means for the investment thesis, and what to do about it - is structurally non-commoditisable. That is where Keystone IQ operates.
While other consultancies take three to six weeks for similar scope - with less relevant analysis.
A €900m, 5.5-million-customer base, rebuilt from transaction data. The flagship example of the methodology in practice.
See the evidence →Redacted sample outputs from live engagements, available to qualified deal teams under NDA.
Whether you are running a live mandate, reviewing a portfolio company, or preparing for exit, your best first step is a 30-minute conversation to understand how we can help you determine the real revenue quality.
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