Outbound Intelligence
Signal-based cold email and LinkedIn outreach targeting companies showing genuine buying intent right now. Qualified meetings on your calendar in 30 days.
For B2B founders, CROs, and RevOps leaders who need a working GTM motion, not a strategy deck.
You build the business. We build the demand. GTM Intelligence installs the GTM strategy, AI automations, and AI sales agents that turn demand into forecastable pipeline. We rebuild your ICP and stage gates, automate the handoffs your team copy-pastes every day, and run the AI sales agents that take the manual work off your reps. One system. Three layers. Your revenue runs on rails.
Highly rated across leading B2B review platforms
1,200+
Qualified meetings delivered
3X
Average pipeline growth
5+
Regions with active clients
8+
Industries served
Trusted by Growing Teams Worldwide
What sits inside GTM Intelligence
Strategy at the top, automations in the middle, and AI agents that run the revenue motion day to day. Each layer can stand alone. They compound when run together.
A senior partner walks your data with you, runs interviews with closed-won and closed-lost, and rewrites your go-to-market in 6 weeks.
Lead enrichment, account scoring, meeting briefs, deal summaries, follow-up drafts. Built on Clay, Make, n8n, and the model that fits the task.
Account research, reply triage, signal monitoring, and pipeline hygiene, run by agents with their own tools, memory, and approval gates.
How we run a GTM engagement
Every GTM Intelligence engagement runs this loop. Each stage produces an artefact your team can audit, own, and rerun without us in the room.
Weeks 1 to 3: 10 to 20 interviews with current customers, lost deals, and ideal-fit prospects. You observe 4 to 6 of them. Recordings transcribed and tagged for theme analysis. Captures the language, triggers, and alternatives. Source of truth.
Week 3 to 4: two-tier ICP grounded in interview data. Tier 1 'must-have' (200 to 500 accounts). Tier 2 'should-have' (1,500 to 5,000 accounts). Buying motion documented: stages buyers move through, gates between stages, rep action at each gate.
Week 4 to 5: identify 3 to 5 highest-leverage AI automation opportunities. Scope card per workflow: what job, what input, what output, what error tolerance, what fallback. Models benchmarked on your real data, not OpenAI demos.
Week 5 to 8: the AI sales agents built and configured to run the motion. Pipeline stages with explicit exit criteria. AI workflows shipped with confidence-check routing. Data hygiene loop via Clay. Dashboards built from manager interviews.
Week 8 to 12: production launch. We monitor accuracy, adoption, and cost daily for the first 30 days. 90-day post-launch advisory included; your team takes ownership by day 90 with documented runbooks.
The infrastructure underneath
Built on your existing tools. Documented for ownership transfer.
10 to 20 interviews with customers, lost deals, and ideal-fit prospects. Captures the language buyers actually use, the buying triggers, the comparison alternatives. Source of truth for everything downstream.
Two-tier ICP definition (must-have, should-have) and a documented buying motion: stages, gates, rep actions. Drives agent workflows and channel selection.
GPT-4o, Claude, and Gemini benchmarked on your real data. Scope-gated workflows for high-leverage revenue / ops jobs. Observable orchestration via Clay, Make, n8n, or custom Cloudflare Workers.
AI sales agents configured to run the motion: pipeline stages with exit criteria, automation that earns trust, data hygiene loop, dashboards your managers actually open.
Looker Studio dashboards built for the managers who use them. Stage-conversion rates, time-in-stage, forecast accuracy, leakage by stage. Each report ends with a decision.
Case studies
Named clients, named industries, and the actual forecast accuracy, hours saved, and pipeline hygiene gains from our consulting and automation work. No anonymised case studies.
View all case studiesAauti · India and US
Aauti needed a repeatable instructor-onboarding motion. We ran coordinated email and LinkedIn cadences against the same ICP, with sender splits protecting deliverability and a manual qualification pass before any meeting hit the calendar.
Jindal Lifestyle · US, Europe, Mexico
Jindal Lifestyle wanted to open an OEM vertical separate from its retail business. We ran 8 campaigns across three geographies and three named trade shows (Ambiente, NRAS, NAEFM), with industry-specific positioning per region and LinkedIn outbound running in parallel.
UK student housing brand · enterprise client (anonymised)
An enterprise UK student-housing brand watched rising CPCs erode its primary acquisition channel. We rebuilt the Google Ads programme around tight match-type discipline on high-intent housing queries, a landing-page refresh that matched ad copy to the application form, and weekly bid review against actual booking data.
ImpactCraftAI · India, US, UAE
ImpactCraftAI launched with no installed base, no inbound leads, and no warm network. We ran 17 campaigns across India, US, UAE, Massachusetts, and California with per-geography copy splits. The California campaign alone hit a 12.1% reply rate on 2,925 sent.
Fox India Voyages · India
Fox India Voyages sells MICE and corporate event logistics. The buyer pool is narrow but high-intent. We ran a LinkedIn-led outbound system that opened every message with the planner's calendar problem, not Fox's service catalogue.
STITCH · Apparel manufacturing
STITCH sells a garment MES to apparel factories. Most agency programmes were burning the budget on broad-match irrelevant traffic. We rebuilt around tight exact-match keywords on "garment MES" and "production tracking software", and rewrote the landing page with manufacturer-specific proof blocks and a three-field form.
FullDome.pro · Global
FullDome.pro sells immersive dome installations to museums, planetariums, theme parks, and immersive venues. The challenge was precision, not scale. We ran a tight email and LinkedIn programme against a manually curated decision-maker list, with sub-vertical copy splits per venue type.
ZappLoans · India
ZappLoans needed digital loan application volume at unit economics that worked. We ran salaried-professional targeting on instant-loan keywords, with continuous spend optimisation week-on-week against actual borrower disbursement data.
Bana · Global
Bana sells designer and fashion-brand fabric sourcing. We ran high-intent keyword precision against the searches designers and merchandisers actually use, with proof-led creatives that spoke to fabric quality and consistency, not to generic supplier positioning.
Video testimonials
Why Growleads
We are accountable for one thing: qualified meetings with decision-makers who have real budget and authority. Not open rates. Not sequences sent. Not monthly reports that show everything except pipeline.
GEO and AEO, getting your brand cited inside ChatGPT, Perplexity, and Gemini, is live for Growleads clients today. Most demand generation agencies are still running the 2021 playbook. The first-mover window is roughly 18 months wide.
Outbound, inbound, and LinkedIn authority all draw from the same buyer model. Your buyer experiences a consistent, credible brand across every channel. Your pipeline compounds instead of plateauing. One partner, one weekly call.
ICP models, signal libraries, channel playbooks, messaging frameworks, AI automation infrastructure. All of it is yours. The system compounds. Campaigns stop the moment the retainer does. The intelligence we build does not.
If outbound is not right for your market, we say so in the first call. If your ICP is too broad to run with precision, we push back before a dollar is spent. This has cost us some projects. It has kept clients for years.
Testimonials
A 30-day system, not a guess. We understand your buyer first, then build, activate, and run every channel under one intelligence layer.
We study your buyer before touching a single tool: intent signals, channel behaviour, buying committee, decision timeline. The channel decision comes after the buyer is understood, never before.
A channel plan built for your ICP and your market, not a template with your logo on it. It names the channels, the rationale, the budget, and the expected outcomes. You approve it first.
Campaigns go live in 14 days. The intelligence is already built, so activation is fast without cutting corners. The first message knows who it is going to and why they respond.
Outbound, inbound, and LinkedIn authority running under one strategy and one intelligence layer. You attend the meetings. We run everything else.
Shared dashboards and weekly insights: meetings booked, pipeline created, conversion at each stage. Not emails opened. The numbers that connect to revenue.
Is this consulting, AI automation, or AI agents?
All three, sequenced. Consulting (buyer interviews, ICP, motion design) runs weeks 1 to 5. AI automation scoping runs weeks 4 to 5. Automation and agent deployment runs weeks 5 to 8. Launch and 90-day operator support runs weeks 8 to 12. They are one engagement, not three contracts.
Will you produce a strategy deck for our board?
We will give you the slide content (ICP definition, channel rationale, expected outcomes, investment) and you adapt it to your board template. We do not optimise for board appearance over operating reality. The deck is a byproduct of the work, not the work.
How do you handle disagreement between sales and marketing?
We surface it in week 1 by interviewing both teams separately. Where they disagree on ICP, buyer journey, or conversion model, the buyer interviews break the tie. The team that was right gets recognised; the team that was wrong sees the data. We do not paper over the disagreement.
Do the AI agents act without human approval?
No. Every agent runs behind approval gates. It researches, drafts, and proposes the next step, and a human approves before anything reaches a buyer. You set the autonomy level per workflow and tighten it as trust builds.
Will AI automation actually work, or will it hallucinate?
Both. Some AI workflows hold up at scale; others hallucinate the moment they leave the demo. We benchmark candidate models (GPT-4o, Claude, Gemini, fine-tuned smaller models) on samples of your real data before building. Workflows that cannot tolerate any error rate we do not build. Workflows that can tolerate some error get confidence-check routing with a human-in-the-loop fallback.
How much of our leadership team's time does this need?
Founder/CEO: 4 to 6 hours (interviews observed, key decision approvals). Head of Sales / CRO: 8 to 12 hours (interviews participated in, motion validation). Head of Marketing / VP Demand: 8 to 12 hours. RevOps lead: 12 to 16 hours (automation and agent configuration review). Total leadership time over 12 weeks: 30 to 45 hours.
What happens when the AI model gets updated by OpenAI / Anthropic?
Workflows are versioned. When a model is updated, we run the previous workflow against the new model on a sample of recent runs and check accuracy. If accuracy drops, we adjust prompts and few-shot examples. If accuracy holds, we promote. The team doesn't see the change.
Who owns the strategy, automations, and agents at handover?
You do. Interview recordings, ICP documentation, motion playbook, AI workflow configurations, agent configurations, Looker Studio dashboards, and runbooks all transfer to you. We give a 14-day handover with a recorded walkthrough of every workflow and dashboard.
What does a GTM Intelligence engagement cost?
We do not publish a number because every engagement is sized to interview depth, automation scope, and agent complexity. What we will say upfront: 12-week fixed-scope engagement with optional 90-day advisory extension, priced for outcomes (working motion + working automation + working agents), not hourly. The first call gives you a number tailored to your scope.
Do you cover B2B go-to-market strategy and revenue operations consulting in one engagement?
Yes. The B2B go-to-market strategy work rebuilds your ICP, segmentation, and stage gates; the revenue operations consulting installs the automations and AI agents that run the motion. One engagement, one accountable team.
Do you do AI lead generation?
AI lead generation is part of it. The bigger job is the GTM strategy, automations, and AI agents that turn that demand into forecastable pipeline, so the leads actually convert instead of piling up.
Resources
Playbooks and breakdowns from the demand programmes we run. Written by the operators doing the work, not a content team.
Lead quality vs quantity is the wrong debate. Learn how B2B teams can measure qualified pipeline, sales opportunities, ROI, and revenue impact in 2026.
Most lead generation campaigns fail before launch. Learn how ICP, GTM strategy, messaging, data, qualification and campaign planning prevent wasted spend.
Learn what a transparent lead generation process includes, from ICP research and outreach to qualification, reporting, sales handoff, and pipeline review.
You build the business. We build the demand.
We will audit your current GTM motion, identify the biggest gap between strategy and execution, and tell you whether a 12-week engagement is the right next move. No commitment. No pitch deck. If GTM Intelligence is not what you need, we will say so before the contract.
Avg. response in 4 hours · Calendly · No sales pressure