AI Agent Ecosystem - 60-90 sales opportunities per month
Read this case study to see how we built an AI-agent ecosystem that generates 60-90 sales opportunities and outperforms the client's prior efforts by 10x.
About the client
Our client is a marketing agency serving B2C SaaS companies - they provide paid ads, SEO, and content strategy.
They win most clients through referrals but wanted to scale and needed a way to reliably generate new sales pipeline.
They had tried inbound (lead magnets and content) and ran outbound through three external agencies - with disappointing results.
When we first spoke, they told us every approach had fallen short of their expectations.
Challenges
We don't force the same playbook on every client - that's a core difference between GTM Revenue and a typical lead-generation agency. For each engagement we deeply analyze the client's data and current processes, diagnose the distinct bottlenecks, and determine the highest-impact strategies tailored to their situation.
We lead with a deep understanding of the client, their market, and their customers, then build strategies that fit that context.
Here's what the problems we found out after analyzing the different processes of our client:
Inbound
- Leads from ads and lead magnets were routed straight to sales reps with only basic company info.
- Reps entered conversations blind - no context on role, pain, or company research - so every call became an uphill battle.
- Conversion rates were low and CAC was too high to be profitable because reps spent time on unqualified contacts and long, unproductive conversations.
- Many contacts weren't decision-makers - they were whoever filled a form, not the buyer - so follow-ups wasted rep time and pipeline capacity.
Outbound
- Lacking data-driven insights, outbound sequences were generic and repetitive.
- Messages missed the recipient's situation and failed to open relevant conversations.
- As a result, both inbound and outbound workflows were inefficient and had a negative ROI.
- Low reply/meeting rates, poor pipeline quality, and rising acquisition costs.
Net effect
- Sales time was eaten by manual research and chasing low-fit leads.
- Marketing ROI collapsed: spend drove volume but not revenue.
- The business couldn't scale GTM activity profitably until lead qualification and context were fixed.
See how we built an entire AI agent ecosystem
Solution & process
After our team analysed all of their processes and we conducted interviews with their sales reps and top clients, we built a set of different systems that all work together to solve all major bottlenecks.
The goal wasn't to just get better data.
GTM Revenue Process
Insane value custom lead magnet generated by AI agents
- Prospect inputs their site URL and receives a full AI audit of social & SEO
- Outperformed all previous tactics by 10x in opt-ins due to real value
Determine the prospect's exact issues without a call
- Aggregate all data from the AI audit agent
- Qualify on 7+ signals: team size, active Meta Ads, spend, hiring, funding, and more
Outreach
- Inbound sequences tailored to each company's pain points
- LinkedIn Connection Requests: 800/month per account
- LinkedIn InMails: 800/month per account
- Cold email to qualified companies: 500/day (15,000/month)
Lead scoring & prioritisation
- AI agents inside the CRM score every lead in real time
- Leads with the highest score get prioritised and sales reps get notified within 3 minutes along with deep data and research about each lead.
Lead nurturing system
- All non-converted leads enter a weekly, personalized value stream
- Recover up to 15% of otherwise lost leads
Results over the last 90 days
Mainly outbound, inbound results are separate
Key takeaways
Use an AI-generated, high-value lead magnet to open doors.
Give prospects a tangible deliverable (a full AI audit tied to their site or stack). That audit proved far more effective than generic lead magnets - it drove dramatically higher opt-ins because it delivered immediate, useful insight rather than vague content.
Diagnose prospects' problems before you talk to them.
Aggregate AI audit outputs and other signals so you can state a concise problem diagnosis without a discovery call. Qualifying on multiple signals (team size, active paid channels, spend, hiring, funding, etc.) lets reps open conversations with authority instead of guessing.
Score and route in real time so reps move fast.
AI agents scored every lead inside the CRM and pushed top leads to reps within minutes with deep context. That speed + context turned signals into meetings - shortening time-to-first-touch and improving show and conversion rates.
"GTM Revenue did what no one else could"
We'd tried several agencies and been frustrated by surface-level fixes. GTM Revenue was different: they diagnosed root causes, rebuilt our go-to-market strategy, and delivered real, lasting improvements. Their depth of expertise and hands-on experience set them apart from every go-to-market partner we've worked with.
Book a strategy session with our Founder
We'll analyze your current situation and uncover the highest-impact opportunities to scale your pipeline and get more closed-won deals.
Outcomes we deliver, again and again
in lifetime value over 17 months
19 enterprise opportunities from one campaign
qualified meetings, every month
sales opportunities, every month
meetings in 4 hours of work
go-to-market rebuilt end to end
in 12 days, deal closed in 25
in 2 months at 58% positive reply
chose us over 8 competitors
Frequently asked questions
What problems do you solve?+
- - No real-time alerts for key account events
- - No single view that aggregates intelligence from multiple sources
- - Impossible to keep data enriched and accurate at scale
- - Reliance on stale CRM entries and shallow data from tools like Apollo, Cognism or ZoomInfo
- - Can't orchestrate sophisticated GTM campaigns at scale
- - No system to prioritize high-intent accounts, so effort is wasted
- - More time spent managing data than building relationships
- - Campaigns launched without a consistent GTM plan
- - Agencies overpromise, underdeliver, and send generic blasts
- - Software and outsourced teams show little real ROI
How does this work? / What's your business model?+
We have three ways we work with clients:
- 1. In-house system set-up - a one-time set-up cost plus a monthly maintenance and optimization cost.
- 2. Done-for-you service - we strategise, build and manage GTM campaigns or data solutions for you, at a monthly cost.
- 3. AI Growth Partner - a deeper, outcome-aligned partnership.