What it does
Buyer Match takes a target company — described however you like — and produces a ranked list of the buyers most likely to acquire it. Each result includes a 0–100 fit score, the reasons that drove the score (sector overlap, size band, geographic focus, prior deals in the space), and a direct link to the buyer's Mergr profile.
It draws on Mergr's full universe of acquirers: PE firms with active investment mandates, PE-backed platforms hunting add-ons, and strategic corporates with relevant M&A history.
When to use it
Reach for Buyer Match when you want to:
Pressure-test a banker's buyer list — see who they may have missed.
Pre-qualify outreach for a teaser or CIM — start with the top 25–50 scored fits instead of a blast.
Scope a divestiture — see which firms have shown appetite for assets like the one you're considering.
Validate a thesis — confirm that a "category" of buyers actually exists before pitching the deal.
How to use it
Buyer Match accepts three input modes — use any one, or combine them.
Describe the target in plain English
Example: A US-based industrial gas distributor with $10M of EBITDA based in Texas.
Click Parse (or just hit enter). The tool will extract fields — sectors, keywords, size band, geography — and fills the criteria strip below. A short rationale appears explaining what was inferred from your text. You can edit the output if you like.
2. Search for a company already in Mergr
Start typing a company name in the Search Mergr box. Pick a match. The tool reads that company's profile — sector, size, geography — and pre-fills the criteria as if that company were the target.
3. Edit criteria chips directly
Sectors — add or remove industry chips.
Keywords — free-text terms that get matched against firm interests, prior deals, and portfolio descriptions.
Size — minimum and maximum revenue or EBITDA. Use the toggle to switch units.
Geography — countries or regions the buyer must operate in.
Buyer size pool — restrict the candidate pool to small-, mid-, or large-cap buyers before scoring.
Once everything looks good - select Find Matches.
Reading the results
Score (0–100) — a fit score combining sector overlap, size match, geographic match, and historical deal activity in the space.
Reasons — the specific signals that drove the score (e.g., “4 prior acquisitions in industrial services", “declared interest in South US", "portfolio company in adjacent sector").
Buyer profile link — opens the firm's full Mergr page (portfolio, deal history, professionals, contact).
Your results are split between PE Firms / Financial buyers and Strategic.
Financial buyers.
Strategic buyers.
Tips
Start broad, then narrow. If you get too few results, remove a chip. If you get too many lookalikes, add a keyword that captures the differentiator.
The keyword field is your friend. "Refrigeration", "specialty chemicals", "managed services" — niche terms surface buyers whose declared sectors are too broad to catch them.
Combine modes. Describe the target in plain English to get a starting point, then hand-edit the chips to add nuance the parser missed.
Use the reset link. (top-right of the criteria header) to clear everything and start over.
Export from the results page. to drop the ranked list into a CRM, spreadsheet, or pitch book.
FAQ
Q: Does Buyer Match include strategic buyers, or only PE?
Both. The candidate pool covers PE firms, PE-backed portfolio companies acting as add-on acquirers, and corporates with relevant M&A history.
Q: How is the score calculated?
The score blends sector overlap, size-band fit, geographic alignment, and historical deal activity in adjacent spaces. Each result lists the specific reasons that drove its score — no black box.
Q: Why is a buyer I expected ranked low?
Likely because their declared sectors or recent deal history don't overlap with your criteria. Try adding a keyword that captures the connection you're seeing — Buyer Match scores from declared mandate and observed behavior, not intuition.
Q: What's the difference between Buyer Match, Investor Match, and Advisor Match?
Same engine, different counterparty. Buyer Match ranks acquirers for a target. Investor Match ranks growth-equity investors. Advisor Match ranks investment banks and law firms.