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A bigger investor email database makes your raise slower: why we only want decision makers

Sunny Ray · · 5 min read

Fundraising Lists and data

A bigger investor list makes your raise slower. Every analyst you email is a partner you didn't, and every bounce at a fund you care about teaches your sending domain to look like a spammer.

On May 4, Charles and I sat with a data partner who walked us through a global investor dataset. The headline numbers were big: about a million investment records through Q1 2026, and 150,000 validated investor contacts worldwide, with the provider claiming better than 90 percent email deliverability. But the number that mattered to me was a rule, not a count. The dataset only includes decision makers. Managing directors. Principals. People who can say yes. It deliberately leaves out the bulk of employees at big firms.

That one rule is worth more than the other numbers combined.

Why a 200-person fund should get one email, not forty

Founders buy investor lists the way people buy cheap protein powder: by the kilo. Fifty thousand contacts sounds better than five thousand. It isn't.

Picture a large fund. It might have a dozen people who can actually move a deal forward and a hundred more in operations, platform, IR, finance and admin. A raw scrape gives you all of them. Now your sequence fires forty emails into one domain in a week. Their security team notices. Their inboxes start filtering you. And the one partner who covers your sector gets your email in a folder they never open, or gets it after three colleagues have already forwarded it around with a raised eyebrow.

One well-aimed email to the right partner beats forty to the building. Every time.

What decision makers only means in practice

The partner gave an example on the call that made it concrete: a huge corporation with tens of thousands of employees shouldn't show up in your list as tens of thousands of contacts. It should show up as the handful of people who run its investing.

For a fundraise, that translates into a few filters we care about:

That last one hurts founders the most. They want coverage. What they need is the right name, and a second name held back for a later round of outreach if the first goes quiet.

Validated vs guessed emails: how we judge a dataset

There are two ways to get an investor's email. You find it confirmed somewhere, or you guess it. Guessing is common: take a name and a domain, try first.last, first, f.last and so on, and test which one the mail server accepts. The partner described exactly that kind of generation to fill the gaps between their 150,000 validated contacts and a much larger universe they think they can reach.

Generation isn't bad. It's how most data gets built. But it changes how you treat the result. When we look at a dataset, I want to know three things before a single email goes out: how many records are confirmed versus generated, when each was last checked, and what the bounce rate looked like the last time someone sent to it. Then we verify again ourselves before launch anyway, because a vendor's deliverability claim is a vendor's claim.

The 90 percent figure is a good sign. It's not a reason to skip your own check.

Data decays every quarter

Three days before this call, I was on with a founder whose campaign had hit a priority crypto fund. A bunch of auto-replies came back from people who no longer worked there. The list wasn't fake. It was old. Investors switch funds, start their own, retire, go operator. A list that was perfect last year is quietly rotting this year.

That's why I don't care much about the size of a database. I care about when it was refreshed. A smaller list checked this quarter beats a giant one checked last year, and it protects the domains you're sending from.

Segment before you send

The dataset broke investors into family offices, VC and PE, angels, grants and incubators. Use those segments as campaigns, not as a column you ignore.

They behave differently. A family office reads an email differently from a seed fund partner. A grant program doesn't want your pitch at all, it wants your application. An angel cares about you as a person more than your TAM slide. One generic email sent to all five segments performs worse than five short emails written for each.

The order matters too. We usually start with the segment most likely to say yes for your specific raise, learn from the replies, and then move outward. The reply column tells you more about your round in two weeks than a month of guessing.

The math of a raise changes

When you swap a giant scraped list for a tight list of decision makers, three things happen. Fewer emails go out. More of them reach people who can act. And your domains stay healthy enough to keep sending through the whole raise instead of burning out in week three.

Founders think the bottleneck is reach. Usually it's aim. Ten great names at the right funds will do more for your round than ten thousand names at the wrong ones.

If you want to see how we build and refresh investor lists before a campaign, here's how the list gets built.

Frequently asked questions

Where can I get a list of investor emails?

Data providers sell investor contact databases, and some focus only on decision makers like partners and principals. Whatever you buy, ask how many records are confirmed versus generated and when they were last checked, then verify again before you send.

How often does investor contact data go out of date?

Constantly. Investors move funds, start their own or leave investing, so a list checked last year will produce bounces and auto-replies from people who are gone. Refresh before every major campaign.

Should I email multiple people at the same VC firm?

Not at the same time. Pick the one partner most likely to cover your stage and sector, and hold a second name back for later if the first goes quiet.

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