Real systems. Real pipeline.
Every engagement follows the same shape: find the revenue gap, prescribe the stack, build the system, hand your team a machine they own. Here's what that looked like for three very different businesses.
"Four lead gen agencies had failed them in two years. A signal-based rebuild generated 423 qualified opportunities and $4.95M in pipeline in ten months."
The situation before
The client had built a strong AI-powered live chat platform — automating customer conversations, qualifying website visitors, and improving engagement. The product wasn't the problem. The pipeline was.
Over two years, four different lead generation agencies had run the same playbook: generic prospect lists, broad targeting, high-volume outreach. Each produced noise instead of pipeline. What the client needed wasn't more volume — it was a go-to-market engine built around buying signals, relevance, and timing.
What we built
A signal-based outbound GTM engine targeting companies already investing in customer engagement and operational change. Two signal layers drove targeting: technology signals (companies running live chat software or Intercom) and organisational signals (newly appointed COOs, VPs of Operations, and Directors of Operations — leaders with a mandate to change things).
The system ran on n8n, Instantly, and HubSpot: automated lead sourcing, enrichment, AI-assisted pain-point research, personalised value propositions, and custom Loom video outreach — generated automatically per prospect. Every reply was human-managed: qualified, triaged, and routed to the right salesperson, with demos booked for qualified prospects. Automation found the opportunities; people converted them.
Mid-campaign, outbound was deliberately paused for six weeks while we worked with the client to sharpen positioning, messaging, and a new landing page — scaling a refined offer instead of a mediocre one.
What it delivered
- 136,300 emails sent over the campaign (March–December 2025)
- 3.17% reply rate across a global enterprise audience
- 423 qualified sales opportunities — defined as a positive response from a relevant prospect expressing interest
- $4.95M in estimated pipeline at an $11,702 average deal size
- ~40% of qualified opportunities progressed to booked product demos
- Clean handoff: every qualified lead synced automatically into HubSpot
How it played out
- Before — Four agencies, two years, no predictable pipeline. Volume-based outreach that burned lists and goodwill.
- Months 1–3 — Signal engine built (n8n + Instantly + HubSpot). Tech and org signals live. First qualified opportunities within weeks. Deliberate pause to refine positioning.
- Months 4–10 — Refined messaging scaled. 423 qualified opportunities, $4.95M pipeline, 40% demo progression — with a 6–10 month enterprise sales cycle feeding future quarters.
"From zero qualified outbound pipeline to €250K in sales opportunities in 8 weeks."
The situation before
Wingtra makes high-precision surveying drones — the kind used by mining companies, construction firms, and government agencies around the world. The product was never the problem. The pipeline was.
Everything came in through the front door: website enquiries, trade show contacts, the occasional bit of word of mouth. They'd tried outbound once before, through a B2B cold-calling agency, and it hadn't gone well. Plenty of activity, no real pipeline, some internal goodwill burned along the way — and a sales team left sceptical that outbound could work for them at all.
So when inbound went quiet, there was nothing to fall back on.
The system we built
We built Wingtra an automated outbound engine designed around how their market actually buys. It watches continuously for buying signals across mining, construction, and agriculture, identifies the companies that fit their ICP, finds and enriches the right decision-makers at each one, and sends personalised outreach — on its own, with no manual prospecting from the sales team.
Once it was live, it ran by itself. The team's only job was to pick up the qualified, in-market accounts it put in front of them.
What it delivered
- A pipeline engine that runs continuously, independent of inbound traffic
- €250K in pipeline from accounts that had never engaged with Wingtra before
- Outreach driven by genuine buying signals rather than spray-and-pray volume
- No internal prospecting effort — the system handles everything up to the conversation
How it played out
- Before — 100% inbound dependent. One failed cold-calling attempt. No system behind any of it.
- Weeks 1–4 — We built the ICP, configured signal detection, and brought the automated enrichment and outreach workflow live. First campaigns went out in week 3.
- Weeks 5–8 — €250K in pipeline, with the system running autonomously in the background.
"From 6 months without a single new business conversation to $500K in pipeline — without me chasing any of it."
The situation before
Savvy Studios produces performance creative, CTV ads, and marketing video for brands — and the work is genuinely good. What they didn't have was a reliable way to get it in front of new people.
David, the founder, had gone six full months without a single new business conversation. He was paying a content agency to keep producing marketing material, but none of it was turning into pipeline. Almost every new client arrived through a referral — welcome when it happened, but impossible to predict, scale, or plan around.
None of that was a reflection of the work. There was simply no system putting it in front of the right buyers.
The system we built
We replaced Savvy's referral dependency with a system that generates pipeline on its own. It identifies brands that fit their ideal client profile and are showing signs of being in-market, reaches the right people with personalised outreach, and keeps running in the background — so new business no longer hinges on a referral happening to land.
David went from hoping introductions would show up to having a pipeline source he doesn't have to manage.
What it delivered
- A predictable, repeatable pipeline engine to replace unpredictable referrals
- $500K in pipeline from companies that had never heard of Savvy Studios
- The founder out of manual prospecting entirely — the system runs without him
- New business that no longer depends on who happens to refer who
How it played out
- Before — Six months, zero new business conversations. Paying for content that wasn't converting. Entirely reliant on referrals.
- Month 1 — We defined the ICP, built the signal workflow, and brought outreach live. First campaigns went out in week 3.
- Months 2–3 — $500K in pipeline, with the whole system running without the owner having to touch it.
Different markets. Same method.
AI SaaS, drone surveying, and video production have nothing in common except this: all had good products, all had no system putting them in front of in-market buyers, and all got one. If your market has buying signals, and every B2B market does, the method transfers.
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