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Analytics: Track M&A Market Activity, Sector Rotation, Exit Mix, and Sponsor Trajectory Across a Rolling 10-Year Window

Filter by acquirer type, geography, sector, or keyword — or scope every chart to a single PE firm or strategic — for thesis sizing, market overviews, and sector trend pitches.

What it does

Analytics is the market-level lens on Mergr's deal data. Where every other tool starts from a single firm, company, or target, Analytics starts from the universe and lets you slice it. The page renders seven sections across a rolling 10-year window: Market Pulse, Sector Rotation (Top 8), Exit Mix, Top 25 PE Sponsors — Trajectory, Deal Types, Top 20 Deals, and Geography.

A three-row filter bar at the top controls every chart simultaneously: an optional Entity scope (one PE firm or company), Acquirer filters (type, country, US state), and Target filters (country, state, sector, keyword). Every chart updates in place.

When to use it

  • Thesis sizing for IC. "Is this sector growing or shrinking? Is the buyer pool widening or concentrating?"

  • Market overview decks. Three or four screenshots from Analytics is a credible one-page market section in any pitch or LP update.

  • Scope to one acquirer's decade. Drop a sponsor or strategic in the Entity picker — every chart re-renders as "this firm's market footprint" instead of the market's.

  • Sector trend pitches. Use the keyword filter (e.g., HVAC, mining) plus Sector Rotation to back a "this niche is consolidating" narrative with numbers.

Where to access it

How to use it

1. Pick a starting frame. The page loads with no filters — the full market.

  • Filter the universe. Use the Acquirer row (Type / Country / State) and Target row (Country / State / Sector / Keyword) to narrow. Every chart updates simultaneously.

2. Use the keyword field for niches.

  • Keyword matches target name, DBA, and description. Use `OR` to widen (e.g., cold chain OR refrigerated logistics). This is how you isolate a niche sector that doesn't map cleanly to a Mergr sector chip.

3. Scope to one entity.

  • Type a PE firm or company name in the Entity picker. All charts re-render as that entity's deals only. The Acquirer row locks when an Entity is set (Entity implies the acquirer).

Tips

  • Two filters, then read. More filter combinations narrow the result set fast — under ~50 deals, most charts get noisy. Start broad, narrow one dimension at a time.

  • Top 25 Sponsors — Trajectory is the most underused section. It surfaces the active sponsors in whatever slice you've filtered to, with recent-window growth deltas. Useful for spotting who's leaning into a sector before it shows up in the headline coverage.

  • Sector Rotation tells you what's increasing, not just what's big. Heatmap visualizes year-over-year shift across the top 8 sectors. A small sector with a steep gradient is more interesting than a big flat one.

  • Use the Entity picker for sponsor diligence. Stack Analytics against Dossier (narrative) and Trading Partners (counterparties) for a full firm view from three angles.

FAQ

Q: How wide is the time window?

A rolling 10 years from today.

Q: Why does the Acquirer row lock when I pick an Entity?

Because picking an Entity already implies the acquirer (it *is* the acquirer). Re-applying Acquirer filters on top would double-constrain in confusing ways. Clear the Entity picker to re-enable Acquirer filters.

Q: How does the Keyword field work?

Matches against the target company's name, DBA, and description. Supports `OR` for multi-term matching (e.g., `HVAC OR heating OR mechanical`). Useful for niches that span multiple sector labels.

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