Signal-based selling, honestly

Signal-based selling works. Here is how to make it work harder.

The research is real: a single buying signal does about 5x better than cold, and stacked signals do better still. So the question is how much more you get from them. Here is the evidence, and what wins the most: the stack on each company, ranked against your ideal customer profile, with a warm way in through someone you already know.

A

Who do you sell to?

Pick the market you work. One click — there’s nothing to fill in.

B

These companies just raised

Real rounds from the last 30 days. This is the list a Fundz customer wakes up to, filtered to their market.

    Pick a market to see what lands.

    Live data, not a recording. Refreshed —. Nothing here needs a signup, and nothing is sent to anyone.

    The ladder (and the data on every rung)

    0
    No signal: spray-and-pray
    Generic cold email replies at 1 to 5% (avg 3.43%; Backlinko: only 8.5% ever get a reply). Only 5 to 15% of your market is in-market at any moment; the rest is noise.
    1
    One real signal
    Reach a buyer on an actual trigger (just raised, hired a CRO, expanding) and you have a reason to write. That matters: 73% of B2B buyers avoid suppliers who send irrelevant outreach (Gartner 2025, 632 buyers).
    2
    Multiple signals, stacked
    Funding + a hiring surge + a leadership change isn't "maybe"; it's "almost certainly." Gartner tells demand-gen leaders to "triangulate on multiple intent signals," and buyers who get outreach relevant to their whole buying group are 3x as likely to report a high-quality deal (Gartner 2025).
    3
    Stacked, ranked to your ICP, through someone you know
    Timing still helps: 92% of buyers start with a vendor in mind (Forrester 2025), and 95% of winning vendors were on the buyer's first shortlist (6sense 2025). Timing pays most alongside which companies you pick (the ones where several signals stack and the company fits your ideal customer profile) and how you get in (through someone who already knows your name).

    Where the extra gains come from

    Signal selling works. In one team's published 6-campaign A/B, signal-based outbound produced 9x more pipeline per email, but their own conclusion was blunt: "Our biggest challenge was latency. A funding signal fires Tuesday. The rep doesn't see it until Thursday. By then the window narrowed." Fixing latency is the first gain. The next ones come from stacking several signals on the same company, ranking it against who you sell to, and walking in through someone you know. Most signal tools still hand you a feed you have to check, research, and act on manually.

    What makes it work harder: the stack, your ICP, and who you know

    Fundz brings more than a dozen live signal types together on each company as they happen: fundings, contract awards, open roles, new executives, acquisitions, trademark filings, employee sentiment and more. Each company that moved is ranked against your ideal customer profile, and each morning you get the few worth your time, with the reasons on the card, the verified decision-maker, and the outreach drafted from what actually happened, sent from your own inbox. Research-to-send drops from 15 to 30 minutes to under 2.

    Then the part nobody can copy. Connect your network once and Fundz weaves who you already know through everything, so the day a company raises you see that you know someone there. Nobody is contacted, and your connections are never shown to anyone. One signal is a coincidence. A company that just raised, is hiring in the department you sell into, and just installed a new executive to own that budget is a call you make this morning. In our own signal-based campaigns, 30 to 35% accepted the connection, well above typical cold rates.

    More than a dozen live signal types. Ranked for your exact market. Woven through your own relationships. The combination is the product, and no chat model or single-signal feed can assemble it.

    The rep math

    Put it on your own pipeline. You blast ~1,000 cold emails for ~30 conversations. The rep who waits for a signal sends 200 and gets ~36: better conversations, with buyers already in-market, in a quarter of the time. The rep who does even better is working the few companies where the signals stack and the company fits, and walks in through someone the buyer already knows.

    75% of B2B deals now start from a signal trigger, so signals clearly work. The open question is how much more you get from them: one alert at a time, or the companies where the signals stack and you can reach them warmly. One closed deal pays for Fundz many times over.

    FAQ

    Does signal-based selling actually beat cold outreach?
    It does, and the evidence is real. 92% of B2B buyers start with a vendor already in mind (Forrester 2025), so a real signal that gets you there early matters, and buyers who get outreach relevant to their whole buying group are 3x as likely to report a high-quality deal (Gartner 2025). Stacking them on the right companies, and reaching them through people you know, makes them work harder still.
    Does speed still matter in signal-based selling?
    Yes. 95% of winning vendors were on the buyer's first shortlist (6sense 2025), and acting within 48 hours converts 4x better. Speed works best when you also pick the companies where several signals stack against your ideal customer profile, and reach them through someone you already know.
    Why reach out right after a company raises funding?
    Funded companies spend roughly 2x more and hire 2x faster, and about 71% finalize vendors within 90 days of the raise. The first 60 days is the highest-intent window.
    How is Fundz different from a database or a signal feed?
    A database tells you a company exists. A signal feed tells you it changed, and tells your competitors the same thing. Fundz brings more than a dozen live signal types together on each company, ranks the company against your ideal customer profile, surfaces the right person, shows who you already know there, and drafts the outreach. Worth it alongside what you use.