$2.8M+ in lifetime value generated over 17 months
How GTM Revenue outperformed a team of 6 salespeople and 3x'd their go-to-market performance with better market intelligence and data.
About the client
This client is a B2B SaaS with a product that addresses common demand-generation and marketing-operations problems for mid-market and enterprise companies.
Baseline when we started
- Sales team: 6 reps
- Meetings generated by the sales team: ~47 / month total
- Attributed closed deals: 3-4 per month (after a full sales cycle)
Challenges
When we began, their six-person sales team was booking about 47 meetings per month and closing only 3-4 deals after a full sales cycle.
Because traditional filters like company size and industry weren't precise enough to identify their ideal customers, 40% of the leads in their CRM were unqualified - despite looking qualified on the surface.
This is a common blind spot: companies underestimate how much unqualified leads quietly reduce revenue. Targeting and talking only to better-fit prospects who actually need your product can significantly increase sales without changing anything else in your process.
The way to do this reliably is to use AI and data from 10+ sources to paint a complete picture of each prospect, and confirm they're a fit before even considering reaching out. Teams often understand the idea but lack the know-how - which is why working with an experienced partner like GTM Revenue is the fastest path to results.
For this client, the problem was invisible until we dug into their data - we diagnosed a hidden issue and fixed it in a way they hadn't considered possible.
See the strategies responsible for generating $2.8M+ in lifetime value
Solution & process
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 for their situation.
With this client we uncovered a clear messaging leak. Rather than jumping straight to new copy (the common, surface-level fix), we identified the true root cause: the team couldn't write relevant messaging because they lacked real context about prospects' situations.
So our first move was to qualify every prospect at intake to understand their situation, pain points and intent. Those insights then drove messaging, scored and prioritized leads, and automated routing - so reps engage the right buyers with the right message, at the right time.
We built a custom AI to evaluate every company, identify which ones truly matched the client's ideal-customer profile, and enrich each lead with deeper context, using signals such as:
- Marketing team structure and size
- Marketing tech stack
- Primary marketing channels and focus
- Finance team size
We used all of that new data to target better leads and write more relevant messaging that 3x'd their reply rate from 1.5% to 4.7%.
Their campaigns before
Campaign with GTM Revenue
- New messaging written by our experts
- Better targeting powered by our custom AI
We didn't just fix existing campaigns - here are some of the additional strategies we implemented
Social listening
- Picked high-activity LinkedIn accounts whose audiences match their ICP
- Monitored key accounts and triggered alerts on relevant social activity
- Built lists of people engaging with target keywords for context-led outreach
Intent data
- Third-party intent feeds for topic-level buying signals
- Website visitors mapped to accounts to surface warm targets
- Custom signals (hiring, exec changes, company news) to time outreach
Custom lists
- LinkedIn followers of competitors - people already interested in similar solutions
- Industry-event attendees for pre/post-event, high-intent outreach
We aggregate and refresh all of these lists, push the signals into our enrichment and qualification layer, and run the full outbound motion (trigger → personalize → sequence → route) so reps only engage prioritized, context-rich prospects.
Results over 17 months
Jan 1, 2024 - Jun 10, 2025 (still ongoing)
Average results across 17 months of working together
- ~48 meetings per month (their sales team of 6 was generating ~47)
- ~6-10 closed deals after a full sales cycle (previously 3-4 for the same number of meetings)
- For context: lifetime value of a customer is ~$15,000-$25,000
- 8 customers x $20,000 LTV = $160,000 LTV per month
- $2.8M+ in lifetime value generated during our collaboration
"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 set them apart from every 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.