An additional 10 to 25+ qualified meetings a month, on top of whatever your team already runs. AI personalisation at SDR-level quality, proprietary intent-signal scrapers per company, continuous optimisation. Your team turns up to the meetings.
PartnerBridge is an Edinburgh-based partner intelligence platform for B2B SaaS. We’ve run their cold email and LinkedIn outreach as a fully done-for-you service. Their team stays focused on product and partnerships. They just take the meetings that appear in their calendar.
Most B2B pipelines are still being built one of three ways. All three are quietly going wrong.
A fully-loaded UK SDR is £55-75k a year for a junior, £70-95k mid-level, before tools. Two SDRs and a manager land at £235-360k. Median ramp is three to six months. Median tenure is under two years; one in three churn every year. Add the manager hours keeping them on the rails and the maths only ever gets worse. The strong rep leaves with the playbook in their head. The cycle restarts.
Tens of thousands of emails sent in month one, a handful of booked meetings, most unqualified. The list is an Apollo export with half the contacts in the wrong vertical or already moved jobs. Targeting is title-based, missing the prospects in their actual buying window. Personalisation is AI-written from a basic prompt that the buyer clocks as AI inside the first sentence. Replies sit unread for hours. A monthly PDF lands at month-end with opens, sends, and a story about why the numbers were soft, no specific optimisation actions, no channel breakdown that maps to your funnel. Founder reads the PDF, fires the agency, signs with the next one. The cycle restarts there too.
30 hours a week of someone's time on lead scraping, copy iteration, deliverability management, reply handling, nurture, follow-ups. The list goes stale. Apollo data is wrong on half the rows. Reply rates collapse because the AI personalisation looks like everyone else's AI personalisation. The volume of genuinely personalised copy required to book 10 or more qualified meetings a month is more than any internal team can produce by hand at quality.
Meanwhile competitors who got it right are working through the same market. Every multi-year contract they sign is a buyer closed off to you for one to three years. The hidden cost of human-heavy outbound isn’t the rep salary. It’s the market position you didn’t take.
Dedicated infrastructure (sending domains, warmed mailboxes, DNS) is the standard playbook every serious cold-email operation needs. The AI engine and operator layer on top are what make the difference.
Layer 01
80 to 150 dedicated mailboxes spun up per client, sized to your market, capped at 25 sends per mailbox per day. Sending domains are dedicated and kept separate from your main domain: each one forwards to your real website so a recipient who checks the sender lands on your live business. Full SPF, DKIM, DMARC. Three-week mailbox warmup before a single cold email goes out. Your main domain is never used for outreach.
At full operating volume
Steady state
10–25+
qualified meetings booked per month, on average.
Per active campaign
~3,000
personalised emails sent per day at SDR-level quality.
Reply time
5 min
max time to reply on every positive inbound.
Numbers vary by niche, ICP, market, and country. The realistic range for your specific company is given on the discovery call.
Decision-maker. Inside the ICP we agreed at the start.
The ICP gets locked in writing during onboarding. If a meeting doesn’t meet the bar, it doesn’t count toward the numbers.
Weeks 1-4
Week 1: full email infrastructure stood up. Domains and mailboxes provisioned, DNS authentication, mailbox warmup begun. Weeks 1 to 4 in parallel: custom scrapers built, lead lists constructed, intent-signal scrapers built around the buyer-readiness pattern for your company, copy drafted and refined, ICP locked in writing. No cold sends during warmup.
Week 4
First emails go out at low volume. Deliverability monitored daily. LinkedIn outreach starts in parallel.
Weeks 4-8
Volume scales gradually toward target. Copy improves on live reply data. First booked meetings typically land around week six.
Weeks 8-12
A/B testing compounds. ICP refinement on the back of live data. LinkedIn cadence tuned. Reply patterns dialled in.
Week 12+
Copy fully tuned. Operating at full volume across email and LinkedIn. The 10 to 25+ qualified meetings per month range starts to come in once the market, offer, and targeting are proven.
Then · Six headcount-equivalents
Cold outbound used to need a four-person plus SDR team and a sales-operations layer to keep it running.
Six headcount-equivalents, all in the same business of moving real conversations into a real calendar.
Now · Run as infrastructure
The work hasn’t gotten easier. The default agency answer has gotten worse, because the market is now flooded with AI cold email the buyer clocks inside a sentence and reply rates have collapsed across the channel. We run the whole operation as infrastructure: AI doing the volume work at human-grade quality, humans doing the strategy and approval, every layer custom-built around the company we’re running it for. Email and LinkedIn outreach run in parallel on the same target list. Your team turns up to the meetings.
Generic agencies
Apollo export, contacts who left their job last year
Tannto
Custom scrapers built per company, AI-verified per vertical, every contact in-vertical before it reaches the send queue
In 30 minutes, we map your offer, market, current sales motion, outbound risk, and realistic meeting range. If Pipeline is the right route, we show you what the operating system would need to look like. If it is not, we say so.
