A founder recently told me they emailed 200 investors and heard back from 3. Two were polite passes. One asked for a deck, then went silent.
This is the spray-and-pray approach, and it has a roughly 1-2% response rate. Compare that to founders who research 20 investors carefully and email 15. They typically hear back from 4 to 6. Same amount of effort, wildly different results.
The difference is targeting.
Why spray-and-pray fails
Investors are not interchangeable. A climate-tech VC does not invest in fintech. A Series B fund does not write pre-seed checks. A US-focused investor does not typically lead rounds in Southeast Asia.
When you email an investor who does not match your stage, sector, or geography, you are not just wasting their time. You are wasting yours. Every mismatched email is time you could have spent crafting a thoughtful note to someone who actually invests in companies like yours.
There is also a reputation cost. The startup ecosystem is smaller than it looks. Investors talk to each other. If you blast the entire market with a generic "Dear Investor" email, you signal that you have not done your homework. That signal follows you.
Finally, spray-and-pray creates a false sense of progress. "I contacted 200 investors this week" sounds productive. But if none of them invest at your stage, you moved zero percent closer to a term sheet.
The 4 filters that matter
Building a targeted investor list comes down to four questions. Get these right and you eliminate 90% of the market, which is exactly what you want.
Stage fit. This is the first and most important filter. An investor's stage focus determines whether your conversation is even possible. If they invest at Series A and you are raising pre-seed, there is no deal to be had. Some investors span multiple stages, but most have a sweet spot. Pre-seed and seed are different worlds. Make sure you know which one you are in and which investors operate there.
Sector fit. After stage, sector is the strongest signal. Many VCs specialize: health tech, developer tools, B2B SaaS, marketplace, consumer. Some are generalist, but even generalists tend to cluster around themes in any given fund. Look at their recent portfolio. If the last 10 investments are all enterprise software and you are building a consumer app, move on.
Check size fit. This one is often overlooked. If an investor typically writes $5M checks and you are raising a $500K round, the economics do not work for them. Similarly, if you need a $2M lead and the investor caps at $250K, they cannot anchor your round. You want investors whose typical check size fits within your round size.
Geography fit. Many investors have geographic preferences or restrictions. Some funds can only invest in specific regions. Others prefer companies within driving distance for board meetings. This filter is less rigid than stage or sector, but it matters. A Nordic-focused investor is more likely to respond to a Helsinki-based startup than a Bay Area one.
Building your shortlist
Start with a broad search using these four filters. If you are a pre-seed B2B SaaS company in Europe raising 750K, you want investors who: invest at pre-seed, have B2B SaaS in their portfolio, write checks between 50K and 500K, and invest in European companies.
This will give you a list of maybe 40 to 60 investors. That is still too many to approach at once.
Now prioritize. Look for signal strength on each of the four filters. An investor who led three pre-seed rounds in B2B SaaS last year is a stronger match than one who occasionally participates in early-stage deals across all sectors.
Look at their portfolio for companies that are similar to yours, not competitors, but companies that suggest the investor understands your space. If they backed a dev-tools company and you are building infrastructure tooling, that is a pattern worth noting.
Check for recent activity. An investor who has not made a new investment in 18 months may be between funds or fully deployed. Prioritize investors who are actively deploying capital.
Your final shortlist should be 15 to 20 names. These are investors where all four filters align and there is evidence of recent, relevant activity.
How to prioritize within the shortlist
Not all 15 names on your list are equal. Rank them by warmth and fit.
Tier 1 (approach first): Investors where you have a warm connection, even a weak one, and where the fit is strong across all four dimensions. These get your most personalized outreach. Mention the specific portfolio company that caught your eye. Reference their blog post or podcast appearance. Make it clear you chose them deliberately.
Tier 2 (approach second): Strong fit but no warm connection. These get thoughtful cold emails that demonstrate your research. Lead with why you are reaching out to them specifically. One sentence about their relevant investment, one sentence about what you are building, one sentence about why the timing is right.
Tier 3 (approach if needed): Good but not perfect fit, or investors where you are less certain about one of the four filters. These are your backup outreach. Send them a clean, professional email but do not over-invest in personalization.
Work through the tiers in order. Give Tier 1 a week before moving to Tier 2. This lets you adjust your pitch based on early feedback before approaching your full list.
The math works differently than you think
Fifteen targeted emails at a 30% response rate gives you 4 to 5 conversations. That is enough to generate competitive interest and move toward a term sheet.
Two hundred generic emails at a 1.5% response rate gives you 3 conversations, but with investors who may not be a great fit. And you burned through your entire addressable market in one shot, leaving no room for a second pass with improved messaging.
Targeting is not just about being polite or professional. It is about conversion math. A smaller, better list outperforms a larger, random one every time.
Pitchkit's investor database includes over 1,100 European investors with stage focus, sector preferences, check sizes, and fund details. You can filter by all four dimensions and build your shortlist in minutes instead of weeks of manual research. The data is there. The filtering is the work that most founders skip, and it makes all the difference.
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