Why “100% Coverage” Is the Wrong Question in Fragmented Markets
- Yash Duseja
- Feb 17
- 3 min read

When private equity firms commission target lists in highly fragmented markets, a familiar question often comes up early.
“Are we getting 100% coverage of the space?”
It’s a fair instinct. But in fragmented markets, it’s the wrong framing. Not because the work isn’t thorough, but because true volume completeness is neither provable nor practical within real deal timelines.
Fragmented Markets Don't Have Clear Edges
In “non-niche” end markets like HVAC, plumbing, dental practices, or other local services, the market doesn’t present itself as a clean, bounded universe.
A single state can contain hundreds of cities, thousands of operators, inconsistent naming conventions, and uneven digital footprints. Some companies appear prominently online. Others barely exist beyond a phone number or a local license record. There is no authoritative source that says, “this is the full list.”
What exists instead is a long tail.
What the Work Actually Looks Like
When I build target lists in fragmented markets, the process is already exhaustive by most institutional standards.
I systematically enumerate economically meaningful cities within a defined geography and apply consistent discovery logic across each one. For every geography, I work through the full depth of available public signals, ensuring that no surface-level results are taken at face value and that the long tail is intentionally explored.
This process is repeated across multiple discovery paths, with the logic remaining constant and only the geographic inputs changing. Over time, patterns emerge. New companies begin to appear less frequently, and incremental effort produces diminishing strategic value.
The judgment comes in recognizing when the search has meaningfully exhausted the relevant universe and when additional effort would add volume without improving decision quality.
Why 100% Can't Be Proven
In theory, you could keep going.
You could run searches for every city, town, and municipality in a state. You could repeat the same process endlessly, hoping that each additional hour produces a meaningful net-new result.
But there is no objective way to prove that the final result represents “100%” of the market. There is no finish line that signals completeness. There is only a point where judgment has to step in.
That’s the part no spreadsheet can show.
Time,Tradeoffs, and Reality
Most PE firms are not looking for a census. They are looking for a decision-support tool.
In fragmented markets, I typically deliver target lists in 12 to 15 working days. That timeline reflects a balance between depth, coverage, and usefulness. Extending the work indefinitely in pursuit of theoretical completeness would materially increase time and cost without necessarily improving sourcing outcomes.
The question is not whether more companies exist. The question is whether finding them meaningfully changes how a deal team allocates its time.
A Better Way To Think About Coverage
Rather than asking for a percentage, a more productive question is:
“Have we covered the strategically relevant parts of the market in a way we can stand behind?”
High-quality lists in fragmented markets aim to:
· Capture the core of the market where scale and consolidation are plausible
· Apply consistent logic across geographies
· Avoid obvious blind spots that undermine confidence
· Be transparent about scope and tradeoffs
That kind of coverage can’t be reduced to a number, but it can be trusted.
The Role of Judgement
This is where bespoke research differs from automated tools or mass-produced lists.
Fragmented markets require human judgment. Knowing when a search has been sufficiently exhausted. Knowing when additional effort will produce insight versus volume. Knowing how deal teams actually use these lists downstream.
That judgment is the work.
If you’re evaluating how to scope target lists in fragmented markets or want to pressure-test what “enough coverage” looks like for a specific investment thesis, I’m always happy to compare notes. You can reach me directly at yash@agathonrp.com.



