Exit Readiness & Client Data Valuations — an Advisor's Guide
Increase Client exit multiples and business value via data dividends
Data is becoming a more visible component of enterprise value. Advisors who can quantify it — quickly, without disruption, and before a transaction — are bringing something new to the table. Xferdata gives you that capability in hours, not months.
Turn internal corporate data into recurring revenue via Xferdata auctions. 24 hour valuations. 4 month auctions.
WHY THIS MATTERS NOW
Fortune 500 have converted data to ARR for years. Walmart, Tesco, Vodafone, JPMorgan, and Hutchison Telecom are all examples of businesses licensing data. Anonymized and aggregated. Lower and mid-market companies are largely untapped. As data becomes a standard line in exit valuations and 100-day PE plans, advisors who can surface and quantify it early are creating a measurable edge for their clients. External licenses allow data assets to be placed on balance sheet.
WHAT YOU GET
- A data valuation utilizing our AI model, supervized by domain experts (ex GlaxoSmithKline, LSEG, D&B, Orange Telcom)
- A clear estimate of what your client's data could earn annually through recurring data subscriptions with all buyer types (data aggregators, Wall Street, consultant, AI driven buyers)
- Buyer demand testing. We validate buyer demand before starting auction.
HOW IT WORKS
- Complete a short 20-question online form
- No data uploads or sharing, no calls, client name remains confidential
- Receive your valuation report same day
ELIGIBILITY FOR VALUATION
Available to companies with 3+ years of operations and either 100+ business customers or 1mn+ consumer users.
TOP SECTORS SEEING BUYER DEMAND
- B2B software
- E-Commerce
- Payments
- Logistics
- Supply Chain
- Retail
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Use Case
Turning Data into EBITDA
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A vertical SaaS company with 100 customers and $10M ARR, $3mn EBITDA runs a data valuation.
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The company receives a data valuation the same day, without data sharing, that states there could be 15 buyers of their data (no PII, company name anonymous) at $100k = $1.5mn recurring revenue.
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The company decides to test this valuation via an accelerated data auction. The auction is a success.
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That adds $1.3M in new ARR (90% margin for data) — lifting EBITDA by 35%.
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No disruption of technology or operations. No new hires. Just sharing aggregated & anonymized data the company already had.
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Xferdata acts as the sole distributor and interface to all buyers.
FAQ
Who is Xferdata?
Data industry veterans focused on data valuations and data auctions. Executives and advisors based in US, Canada and UK. Ex LSEG, D&B, Goldman Sachs, GSK and Orange Telecom.
What type of data do you care about?
We consider all industries that are 'data-rich'. Software, logistics, procurement, payments, e-commerce, etc.
What are the costs?
Low cost monthly subscription to support valuation and auction journey. Cancel anytime.
What about compliance and commercial sensitivities?
No PII in data, right to collect, and right to share. Data owner, i.e., company name, remains anonymous. You can block buyer types from auction access (i.e., competitors, existing data partners)
What are valuations, and how much money will my client company receive?
Our valuations are typically $300k to $5mn ARR received from multiple buyer types. This is high-margin recurring cashflow for business valuation or reinvestment purposes.
How do I know valuations are achievable?
We don't start auctions without pre-auction demand testing. We run a 120 day auction process (allowing for compliance and backtesting prior to auction bidding). You have full visibility if buyers are engaging, backtesting, or selling data.
What types of buyers attend Xferdata data auctions?
Large data aggregators, Wall Street, consultants, and corporates. Experienced and regulated data buyers.
Will this disrupt client company operations?
No. Xferdata is your data distributor and supports all buyer interactions, compliance, data research, and data delivery exercises. Data is not productized. Buyers have a budget, skills, and compliance processes to ingest raw data.