The math nobody runs before hiring an SDR
Most founders build outbound around a single hire: find the SDR, give them a list, target economic buyers, and expect meetings. The logic feels sound. If you’re selling a $30K/year platform, you want to be talking to the VP or the Head of Risk, not an analyst who can’t sign anything.
But “decision maker only” as a targeting rule quietly throws away half your addressable pipeline before a single call is dialed. Not half your budget. Half your sales.
Why the number lands near 50%
In most B2B org charts, especially in FinTech and InsurTech where budget authority sits with a VP, Head of Compliance, or CFO, that title represents roughly one seat per team. Below them sit two, three, sometimes five people who influence the purchase, use the product daily, and can kill or champion a deal: the compliance analyst who has to live with the tool, the senior engineer who evaluates the integration, the ops manager who owns the workflow you’re replacing.
When you restrict outbound to the named decision maker only, you’re not just narrowing your list. You’re cutting off every warm path that runs through the people who actually feel the pain your product solves. Those people often reply to cold outreach at higher rates than the executive above them, because they’re closer to the problem and less buried in meetings. They also frequently do the internal selling for you: “hey, we should look at this” travels up an org chart far more easily than a cold email lands on a VP’s calendar.
Split the math simply. If a company has one decision maker and three to four realistic influencers who can open a door, and you only target the one person, you’ve excluded the majority of viable entry points at that account. That’s where the “50% of sales” framing comes from: not a rigorous industry statistic, but a structural reality of how buying committees work. Cut the influencers, and you cut a large share of the routes that end in a meeting.
What decision-maker-only outbound actually looks like in practice
Picture a list of 200 InsurTech companies. The “decision maker only” approach filters to VP of Underwriting or Chief Risk Officer, maybe 200 contacts, one per account. Reply rates on cold outbound to senior executives tend to be lower across the board. They get more pitches, delegate more, and are harder to reach directly.
Now picture the same 200 accounts with a broader map: the VP, plus the underwriting manager, plus the senior underwriter, plus whoever owns the tooling decision day to day. Same number of target accounts, three to four times the contact surface. More conversations, more replies, more chances for someone to say “let me loop in my boss,” which is often a better meeting outcome than a cold VP call anyway, because it comes with an internal advocate.
This isn’t an argument for spraying everyone at a company. Targeting still matters. But targeting should be based on relevance to the problem you solve, not seniority alone.
How to fix this without losing focus
Map the buying committee, not just the buyer. For each target account type, identify who feels the problem daily, who evaluates the solution technically, who controls budget, and who has to approve procurement or compliance. In regulated FinTech and InsurTech sales, that last one matters more than most teams plan for.
Write different messages for different roles. The compliance officer cares about audit trails and regulatory exposure. The economic buyer cares about ROI and risk to their budget. The end user cares about whether this makes their week easier or harder. One message to all of them flattens your reply rate no matter who you’re targeting.
Let replies route themselves. A message to a manager that gets forwarded to their VP with “we should talk to these people” converts better than a cold VP outreach, because it arrives with context and internal credibility. Build outbound sequences that make that forwarding easy, not ones that assume the first person you reach has to be the final signer.
Track meetings by role, not just by volume. If you’re not measuring which titles actually convert to meetings and which meetings convert to pipeline, you can’t tell whether “decision maker only” is a real constraint or just an assumption baked into your list-building process. Pull this data before you decide to narrow or widen targeting.
Reconsider firmographic filters alongside title filters. Company size, tech stack, or regulatory status often predicts fit better than a single title does. A senior analyst at a fast-growing account can be a better first conversation than a VP at a company that isn’t a fit yet.
When to stop doing this yourself
If you have the internal bandwidth to map buying committees, write role-specific messaging, and train callers to route conversations upward when they land on an influencer instead of a decision maker, DIY outbound can work well. It takes real operational investment: list-building discipline, message testing, and callers who know how to handle “I’m not the person you want, but let me get you to who is” without losing the conversation.
If that infrastructure doesn’t exist yet, or building it would take longer than it’s worth compared to just generating pipeline, a pay-per-meeting model removes the guesswork. Nurturance runs outbound through live human callers who work the full buying committee, not just the named title on a list, and you only pay when a qualified meeting actually lands on your calendar. That’s usually the better fit when you’d rather test demand now and refine targeting from real conversations than spend the next quarter building the targeting logic yourself.