Your buyers are technical, your sales cycle is specific, and generic outreach gets ignored. This system is configured for your market from day one.
Apollo title filters miss the real buying committee. The person with "Head of Growth" in their bio is often not the one who signs. In SaaS the actual buyer rotates by company stage — founder pre-PMF, head of revops at Series A, VP of marketing at Series B — and a single title-based list flattens all of that into one bad sequence.
Free-trial signups poison your intent signals. Most off-the-shelf intent tools count anyone touching a competitor's site as "in market." In SaaS that's a job seeker, a curious engineer, a free-tier squatter. Real intent in SaaS shows up in pricing-page revisits, integration-marketplace clicks, and engineering job posts — not surface-level visits.
And SaaS buyers smell template outbound from one line in. They've sat on the other side of the table; the BDR motion is their day job. A first message that opens with "I noticed you're the [Role] at [Company]" gets archived before line two.
Specific tactics, named. Not a feature list.
We pull people who follow the 2–4 companies you actually compete with on LinkedIn. They're already aware of the category and the problem. That's a fundamentally warmer list than a title search filtered by industry.
We exclude companies currently in a free trial of a direct competitor or a tool that solves an adjacent problem. Reaching out mid-trial is the wrong moment — wait for the renewal window or move on.
SaaS buyers ignore cold email from unknown domains. We open on LinkedIn — connection request with context, then a value message — and only fall back to email if the LinkedIn thread goes quiet.
When a company opens reqs for the roles that use your product (e.g. "DevRel" for a developer tool, "RevOps Manager" for a sales tool), they're building the team that buys you. That signal beats most third-party intent data.
Founders, IC operators, and VPs get materially different first messages on the same campaign. Same offer, three angles — what's in it for each role, in their language.
SaaS outbound needs precision. Different buyer personas at different company stages need different messages. Your system is configured around your specific ICP, with lead sources that target companies using complementary or competing tools, hiring for roles you sell to, or showing intent signals in your category.
Competitor-follower lists and hiring-signal lists weighted higher than waterfall search. Waterfall is the safety net, not the spine.
Slower than agency-style outbound. Day 1, 4, 9, 16. SaaS buyers need room to come back on their own time.
The agent qualifies on stage, current stack, and buying timeframe before pushing a call. "Interested but exploring" goes into a nurture lane, not a booked meeting that no-shows.
Direct question about pricing, integration, or trial setup. Everything else gets a thoughtful follow-up, not a calendar link.
Waterfall search, competitor followers, LinkedIn group members, post engagers. All filtered for your exact buyer.
Sequences written for people who hate being sold to. Value-first, no fluff, in your product's language.
LinkedIn and email in one dashboard. One sequence, two channels, no switching between platforms.
The AI agent knows your product. It handles replies, qualifies interest, and books calls without sounding like a bot.
Sometimes. If you have a defined ICP and at least a working sales narrative, yes — outbound can be a discovery channel as much as a pipeline channel. If you're still validating who the buyer is, we'd rather have an honest conversation first than take your money. Outbound is a poor substitute for product clarity.
Both, but they're built differently. For PLG we focus on enriching self-serve signups, identifying accounts where multiple users have signed up, and reaching out to the economic buyer above them. For sales-led we focus on traditional ICP targeting with hiring and competitor signals layered in.
That's one of the cleaner builds. We source from competitor-tool followers, GitHub adjacent signals where available, and LinkedIn engagement on technical posts. Sequences are short, plain, no buzzwords. Founders respond to short and direct.
Yes, within scope. We train it on your docs, your pricing, and your common objections during onboarding. For deep technical questions or edge cases it explicitly hands off to you — we'd rather it say "let me pull in someone who can answer that" than guess.
Typically 7 business days from kickoff to first campaign live, assuming you can get us your ICP definition and product context in the first call.
We don't fight your existing stack. We can run Wingmen as the LinkedIn layer on top of an existing email tool, or replace both. Most teams end up consolidating after a few weeks because running two systems is more work than running one.
If you're a SaaS team that needs pipeline without hiring or outsourcing, this might be a fit.
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