For Series A & B B2B SaaS founders
Pipeline math first, then signal-based outreach with personalization that gets read. ARR target → meetings → leads → infrastructure. First campaigns live in 14 days.
You own the domains, mailboxes, Clay account, and IP. Always.
See your pipeline math →Booked first-meetings at
Every meeting on your calendar is one you booked yourself. You wrote the cold email, found the lead, sent the LinkedIn message. You can't keep doing this and ship product at the same time.
Most SDRs don't have the seniority to figure out outbound from scratch. They need a system, copy, infrastructure, and a manager. Without all four, they churn.
Cold outbound at scale isn't "send more emails." It's deliverability infrastructure (mailboxes, domains, warm-up), ICP scoring, copy that gets replies, and orchestration across channels. One missing piece = whole engine fails.
A single 30-day sprint to take you from no outbound (or broken outbound) to a working system tied to your funding milestone, followed by ongoing campaign management.
Week 1
ICP scoring framework. Funding milestone back-engineered into meetings/quarter, leads/week, and infrastructure required. Vertical-specific playbook for your space.
Week 2
First sequences live across LinkedIn + email. Infrastructure deployed (mailboxes, domains, sender accounts, deliverability). CRM integration. Reporting dashboard live.
Weeks 3–4 + Ongoing
A/B testing, copy iteration, list refresh, infra health monitoring, monthly reports tied back to your ARR math.
Investment
$4,000–$8,000/month
3-month minimum. Build included in first month. Range depends on number of campaigns, verticals, and sender accounts.
You own everything. Domains, mailboxes, Clay account, sender accounts, copy, IP. If we ever stop working together, you keep the entire system.
If you're not a fit, I'll tell you on the call.
| In-house SDR | DIY (Apollo) | Big agency | Singularia | |
|---|---|---|---|---|
| Cost | $80–120K/yr + tools | $5K/yr + your time | $8–12K/mo | $4–8K/mo · $48–96K/yr |
| Time to first campaigns live | 3–6 months | "now" but burns domain | 30–60 days | 14 days · sequences live + warmed infra |
| Vertical specialization | Generalist | None | Multi-vertical | AI legaltech / fintech / proptech |
| Pipeline math | Manual | None | Sometimes | Reverse-funnel model, monthly recalibration |
| Accountability | On you to hire & manage | On you | Vendor relationship | Monthly diagnostic vs ARR target |
Hard data from active campaigns over the past 4 months.
Featured: LegalTech AI client
41
First-meetings booked (verified from client CRM)
$2.28M
Projected pipeline value , sales-team CRM estimates, not signed revenue
First-meetings booked with
41 of 260 total accounts in this client's CRM came from our outbound, we owned 16% of pipeline as one of multiple channels. The rest are inbound, referrals, and other GTMEs.
17,628
Contacts reached
106
Campaigns launched
4
Verticals managed
71 / 18
Mailboxes / Domains
LegalTech AI
~4 months active
3.6x
industry avg positive reply
CR sent: 6,076
Accept rate: 21.4%
Positive reply: 5.4% vs 1.5% avg
Funding-back-engineered cadence + second-degree intro engine.
FinTech
~3 months active
2.1x
industry avg positive reply
CR sent: 3,768
Accept rate: 20.2%
Positive reply: 3.1% vs 1.5% avg
IRS Form 990 sourcing + AI classification across 5 sub-verticals (clinical trials, non-profit ops, rewards/cashback, etc.).
Sustainability
~1 month active
2.2x
industry avg positive reply
CR sent: 2,314
Accept rate: 15.4%
Positive reply: 3.3% vs 1.5% avg
Competitor poaching + sister-site mapping for circular-economy lab plastics buyers.
"Positive reply" = next-step signal (direct interest, requested info, scheduled time, or referred to colleague). Aggregate contact count (17,628) includes 16,639 LinkedIn-resolvable leads + 989 email-only leads. Open rates not shown, Apple Mail Privacy Protection inflates open metrics across all email tools, treat directionally.
I'm Martin Sacchi, GTM Engineer for AI-native B2B SaaS.
I've spent the last year running outbound campaigns across 4 verticals (legaltech, fintech, insurtech, sustainability) at a US GTM agency.
Before that, I founded Contigo, an AI agent for real estate that qualified leads via WhatsApp and matched buyers with property listings. Built end-to-end across product, engineering, and GTM.
My background is institutional finance ($400M+ AUM at an institutional asset manager) and an MBA from IE Business School (top 10% of class; IE ranks among the top 10 globally for entrepreneurship). I think about outbound the way investors think about ARR growth, back-engineered from the next milestone, not "let's send more emails."
In 30 minutes we'll back-engineer the math from your next funding round, scope the system you'd need, and I'll tell you honestly whether outbound is the right channel for you right now, sometimes it's not.
See your pipeline math →