Results at a glance

• 20 meetings booked from a standing start, every one cold-call sourced

• A portable ICP validated in Canada and replicated into the US within days

• Meeting velocity rising month over month, nine in the first two weeks of August alone

Strong product, and no idea who actually buys it.

The client is an AI platform selling to IT consulting and digital transformation teams, buyers who already live in the technology and do not need to be taught what AI is. There was no outbound infrastructure, no warmed sending capacity, and no defined view of who inside that market converts.

Targeting led with industry and geography: pick a country, then work out the person. The kickoff messaging was templated and AI-generated, and across the first weeks it drew almost no response on email or LinkedIn. The task was not to run more outreach. It was to find the signal buried in a broad, unproven market.

Where they were

• No outbound engine, no warmed domains, inboxes or dialer motion

• ICP defined by geography rather than persona, unproven and far too broad

• Templated AI-generated messaging producing near-zero email and LinkedIn response

• No evidence of who actually buys, or which channel deserved the investment

Three compounding systems.

• Data and ICP engine. Roughly 16,000 contacts sourced across the US and Canada, segmented by persona, seniority and market. Enrichment mapped role, firm type and reachability, turning a geography-first guess into a persona-first target.

• Multi-channel outreach. Cold calling ran as the always-on engine from day one. Email launched after a month of warm-up to protect deliverability, and LinkedIn ran in parallel on the same accounts.

• Qualification feedback loop. Every conversation scored, and what the SDRs heard on live calls fed back into the ICP week by week. Targeting sharpened while the engagement ran rather than after it.

What changed

• Three channels live in parallel: cold calling, email and LinkedIn

• A proven, portable persona validated in Canada and replicated to the US

• 20 meetings booked with velocity rising month over month

• A clear read on the winning channel and buyer, so spend can concentrate

What moved in 90 days.

Persona beat geography, and it was not close. Canadian conversations kept surfacing the same pattern, both teams aligned on a persona-first ICP, and that model dropped into the US in early August and booked on the first day. The channel data is equally unambiguous: every meeting came from the phone. Email and LinkedIn are built and healthy at the top of the funnel, with the copy identified as the separable, fixable gap.

The numbers

• ~16K TAM sourced, US and Canada

• 8,077 Multi-channel touches

• 20 Meetings booked

• 194 Conversations and replies

• 29 Active pipeline conversations

Engagement

• Client: AI platform for IT consulting and digital transformation

• Markets: United States and Canada

• Engagement: 90 days, roughly two months full multichannel

• Channels: Cold calling · Email · LinkedIn

• Stack: Apollo · Clay · Smartlead · HeyReach

• Personas: Decision-makers in consulting and digital transformation firms

• Services: SDR-as-a-Service · ICP Engineering · List Building

• Focus: SaaS & AI · ICP Engineering · US & Canada