Outreach targeting criteria
Acquisition outreach targeting: what the data shows.

Most origination teams spend far more time rewriting a subject line than deciding who the email should go to in the first place. Acquisition outreach targeting decides whether a message is even relevant before a single word of copy matters, yet it is treated as an afterthought behind the buy box on a fund's investment thesis. We pulled the numbers from Danish Lead Co. / DealSource Systems outreach data, including campaigns run for private equity firms, M&A advisors, and corporate development teams, covering more than 1.5 million sends and 2,688 qualified positive replies over the past 90 days. Some of what the data shows does not match the targeting instinct most teams default to.
Does company size change the reply rate in acquisition outreach?
Yes, and the pattern is not what most teams assume. Businesses in the smallest size band do not produce the most replies; mid-sized businesses do.
| Employee count | Share of qualified positive replies |
|---|---|
| 1-10 | 12.96% |
| 11-50 | 49.17% |
| 51-200 | 26.25% |
| 201-500 | 6.31% |
| 501-1000 | 2.33% |
| 1000+ | 2.99% |
Nearly half of all qualified replies came from businesses with 11 to 50 employees, not the smallest owner-operated shops. That is a useful correction for any acquisition outreach targeting model built on the assumption that the very smallest businesses are the most receptive. Owners of a five-person business are frequently too close to daily operations to engage with an acquisition conversation at all; owners and operators at the 11-to-50 band have usually built enough of a business to think seriously about an exit, but are still small enough that a direct approach, rather than a banker-run process, is the natural first conversation.
Which seniority level replies most to acquisition outreach?
Senior operators and founders reply most, well ahead of anyone carrying the literal title of owner.
| Seniority level | Qualified positive replies |
|---|---|
| Senior | 125 |
| Founder | 89 |
| C-suite | 38 |
| Director | 36 |
| Partner | 31 |
| Manager | 28 |
| VP | 23 |
| Head | 17 |
| Owner | 12 |
That last row is the one worth sitting with. Only 12 qualified replies came from a contact titled precisely "owner", against 89 from contacts titled "founder" and 125 from a broader senior-operator classification. A targeting model that filters a contact list for the literal word "owner" will miss the large majority of the people who actually control a sale decision, because most of them carry a different title on their LinkedIn profile and their email signature.
Should acquisition outreach target the owner directly or a senior operator?
It should target whoever holds the decision-making authority, and that is very often not the person with "owner" in their title. Founders, CEOs, managing partners, and other senior operating titles collectively account for the large majority of qualified replies in acquisition outreach, which means a targeting list built purely on job-title keyword matching for "owner" or "principal" systematically under-targets the real decision-maker pool. The fix is to build acquisition outreach targeting around a role definition, whoever holds final say on a sale, rather than a single literal title string, and to pull in adjacent titles like founder, president, managing partner, and CEO as primary targets rather than fallback options.
Does industry affect who replies to acquisition outreach?
Yes, and the highest-replying industries in the data are not always the ones a fund's thesis slide highlights first.
| Industry | Qualified positive replies |
|---|---|
| Hospitals and health care | 16 |
| Furniture and home furnishings manufacturing | 10 |
| Textile manufacturing | 9 |
| Health, wellness and fitness | 8 |
| Medical equipment manufacturing | 6 |
| Mental health care | 5 |
| Medical practice | 5 |
Healthcare-adjacent categories dominate the top of the list, which lines up with why so many healthcare deal origination programmes across our healthcare industry work report strong response rates relative to other verticals. But manufacturing niches, furniture and home furnishings, textiles, show up close behind, which is a reminder that acquisition outreach targeting built purely around headline-grabbing sectors like software or healthcare will miss durable, less fashionable categories where owners reply at a comparable rate. The same discipline applies to how a team defines proprietary deal flow in the first place: the thesis sets the universe, and targeting data decides where inside that universe to spend the outreach effort.
So who should acquisition outreach actually target?
The data points to a targeting model built on role and business stage rather than headline job title or company size alone.
- Target founder, CEO, and senior-operator titles as primary, not fallback. The literal title "owner" captures a small fraction of the people who actually decide whether a business sells.
- Weight the 11-to-50 employee band correctly. This band produces the highest share of qualified replies, not the smallest businesses in a list.
- Do not assume the most obvious vertical is the only productive one. Manufacturing and industrial niches reply at rates that rival more fashionable sectors.
- Treat targeting as a living model, not a one-time filter. Deal origination metrics should include a breakdown by title and company size so a team can see when its targeting assumptions stop matching reality.
- Pair targeting with the right channel and cadence. Getting the target right still depends on follow-up discipline to convert a relevant contact into a real reply.
None of this replaces a sound investment thesis. A fund still needs to define the industries, revenue range, and geography it wants before it builds a list. But once that buy box is set, acquisition outreach targeting inside it should be built on what the reply data actually shows, not on which title sounds most like a seller. See how DealSource Systems builds targeting into an origination programme, review the solutions built around it, or check the results from campaigns run this way.
Frequently asked questions
What is acquisition outreach targeting?
Acquisition outreach targeting is the set of criteria, company size, industry, seniority, and title, used to decide which business owners and operators receive a direct outreach message about a potential sale or partnership.
What company size replies best to acquisition outreach?
Based on Danish Lead Co. / DealSource Systems data, businesses with 11 to 50 employees produced nearly half of all qualified positive replies, ahead of businesses with 1 to 10 employees or those above 200 employees.
Should acquisition outreach target contacts with the job title "owner"?
Not exclusively. Contacts with the literal title "owner" account for a small share of qualified replies compared with founder, CEO, and other senior-operator titles, so a targeting list should include those titles as primary targets.
Do larger businesses reply less to acquisition outreach?
Yes, in the data reviewed here, reply share drops off sharply above the 200-employee mark, likely because larger businesses have more layered decision-making and are less likely to have a single accessible contact who can engage directly.
Which industries reply most to acquisition outreach?
Healthcare-adjacent industries, including hospitals and health care, medical practices, and mental health care, show strong reply rates, but manufacturing niches such as furniture and textile manufacturing reply at comparable levels.
How often should a team revisit its acquisition outreach targeting criteria?
Targeting criteria should be reviewed against reply data on a regular basis, ideally monthly, so a team can see when its assumptions about company size, title, or industry stop matching what the data actually shows.
Does acquisition outreach targeting replace a fund's investment thesis?
No. A fund still needs to define its target industries, revenue range, and geography first. Targeting criteria refine who within that defined universe is most likely to engage, not which businesses qualify for the thesis.
Is job title data reliable for acquisition outreach targeting?
It is directionally reliable but imperfect, since business owners self-describe their titles inconsistently, which is why a role-based definition, whoever holds final say on a sale, works better than matching a single literal title string.