Endor Labs
The challenge: Strong product-market fit, but no GTM infrastructure to reach it. Outbound was entirely manual, the ICP was defined on firmographics only, and SDRs spent 20 hours a week on research instead of conversations.
What We Built
- TAM and enrichment engine: 6-layer Clay waterfall with 'Why Now' triggers on every record
- Competitor displacement stack: live tracking across Snyk, Checkmarx, Veracode and Black Duck
- Buyer intelligence layer: 9 persona tiers (A to I) and 107 technologies scored
What Changed
- From no domains, inboxes or defined TAM to 3-channel outreach
- From firmographic-only ICP to technographic and intent targeting
- From 20 hours a week of manual research to 100 percent conversation time
- From no CRM visibility to every meeting tied to its trigger signal
Results Breakdown
- 19,400 accounts enriched, 104,000 contacts in pipeline
- 911 displacement accounts mapped across four competitors
- Email bounce rate held at 1.8 percent
- Zero headcount added, $31,200 a year saved vs Clay Enterprise
"Quality data is essential to a successful B2B outbound motion. Metro Surge House not only helped us streamline our prospecting data engine... they also layered on domain expertise in the cybersecurity space to help prioritize outreach to prospects with the most relevant propensity and timing signals." Eric Wong, VP of RevOps at Endor Labs
Nexus Cloud
The challenge: Nexus Cloud had a strong product but zero outbound motion. Their sales team was entirely reactive, relying on inbound and referrals. Reply rates on sporadic outreach attempts sat at 0 percent. They needed a system, not a campaign.
What We Built
- ICP mapped to mid-market SaaS teams, 50 to 500 employees, using technographic signals
- Cold email infrastructure with 4 dedicated domains, warmed over 3 weeks
- 7-touch hyper-personalized sequences referencing prospect's recent fundraise and tech stack
- LinkedIn outreach layer for warm-up pre-email
- CRM pipeline with automated follow-up workflows
Execution Timeline
- Week 1: Discovery call, ICP definition, competitive landscape
- Week 2: Sequence build, domain setup, data enrichment
- Week 3: Domain warm-up begins, copy finalized and tested
- Week 4: Full campaign launch, first responses within 72 hours
- Month 2 to 3: Optimization, split testing, scale-up to 600 prospects a week
Results Breakdown
- Reply rate: 0 percent to 6.2 percent, industry average is 1.5 percent
- 47 qualified meetings booked across 90 days
- 14 meetings converted to active opportunities
- $382,400 in revenue closed, $1.12M in total pipeline built
- System handed off fully operational at end of engagement
"Reply rates lifted from 0 percent to 6.2 percent in 90 days. They understand deliverability and personalization in a way most agencies simply do not." Arjun Sharma, CRO at Nexus Cloud
Meridian Capital
The challenge: Meridian Capital was reaching out to prospects but with generic messaging that didn't resonate with FinTech CFOs and VPs. Reply rate was a stagnant 2.1 percent. They had the relationships, but could not get in the door with cold prospects at the right decision-maker level.
What We Built
- Complete CFO and VP Finance ICP profile with signal-based list of 3,240 prospects
- Messaging repositioned around regulatory compliance pain and liquidity risk language
- Multi-stakeholder sequencing, CFO and Controller simultaneously
- LinkedIn authority content strategy targeting FinTech decision-makers
- Custom objection-handling framework for financial services pushbacks
Execution Timeline
- Week 1: Messaging audit, identified 3 positioning flaws killing reply rates
- Week 2: Full rewrite with compliance and ROI-first framing
- Week 3: Multi-stakeholder sequence launch
- Month 2: LinkedIn layer activated, reply rate crossed 6%
- Month 3: Peak 8.6 percent reply rate, $2.14M pipeline confirmed
Results Breakdown
- Reply rate: 2.1 percent to 8.6 percent, a 4.1x improvement
- $2.14M in qualified pipeline within 90 days
- 41 meetings booked, 24 with CFO or VP level contacts
- Ongoing retainer extended after 90-day sprint results
- System became their primary outbound channel
"They rebuilt how we think about outbound entirely. Within 3 months we had more qualified meetings than the previous year combined. The system runs itself." James R., CRO at Meridian Capital
Stackify
The challenge: Stackify built excellent developer tooling but struggled to reach the economic buyers, Engineering VPs and CTOs, who control budgets. Their outreach was landing with individual developers who had no purchasing authority. They needed to move up-market.
What We Built
- New ICP: VP Engineering and CTO at 100 to 1,000 employee B2B tech companies
- Messaging pivoted from technical features to team velocity and cost-per-engineer framing
- Signal-based targeting using hiring data (companies actively scaling engineering teams)
- 6-touch cold email sequence with technical credibility hooks
- Direct LinkedIn outreach to C-level technology leaders
Execution Timeline
- Week 1: ICP shift identified, old ICP was 3 levels too low
- Week 2: Rebuilt list from scratch, 2,760 VP and CTO prospects verified
- Week 3: New sequence launched with enterprise-appropriate messaging
- Week 5: 20 meetings booked, all VP-level or above
- Week 10: 63 total enterprise calls completed
Results Breakdown
- Reply rate: 3.1x increase versus previous outreach
- 63 enterprise calls booked in 10 weeks
- 100% of meetings at VP Engineering or CTO level
- $742.6K in revenue attributed to the engagement
- Average deal size increased 2.3x due to buyer-level shift
"We were not reaching the wrong market, we were reaching the wrong level in the right market. MSH identified this in the first week. The results followed immediately." VP Sales, Stackify
Vault Analytics
The challenge: Vault Analytics needed to reach CFOs and VPs of Finance at enterprise companies, one of the hardest audiences to cold outreach. Generic email templates were not cutting through. They needed AI-level personalization at scale to break through to these executives.
What We Built
- AI-powered personalization engine referencing each CFO's recent earnings calls, LinkedIn posts, and company filings
- Verified list of 1,380 CFO and VP Finance contacts across target verticals
- Hyper-specific opening lines, an average of 2.5 minutes of research per prospect, scaled
- Risk-framing messaging, matched to CFO priorities, compliance, forecasting accuracy, cost
- Warm-up sequence via LinkedIn engagement before cold email hit
Execution Timeline
- Week 1 to 2: CFO ICP deep-dive, data build, AI personalization framework
- Week 3: First 200 emails sent with hyper-personalized openers
- Week 4: 12 CFO responses, 8 meetings booked
- Week 6: 20 meetings completed, 6 in active evaluation
- Day 60: 34 total CFO and VP meetings, $1.46M in pipeline
Results Breakdown
- 34 CFO and VP Finance meetings in 60 days
- Prospects reported emails felt personally researched, not automated
- $1.46M in attributed revenue impact
- 6 deals in active procurement evaluation at 60-day mark
- System documented and handed off as internal playbook
"The AI personalization is genuinely impressive, prospects thought they had been individually researched. 34 CFO-level meetings in 60 days. The ROI on this engagement was exceptional." Marcus Chen, VP Sales at Vault Analytics
Orbita Tech
The challenge: Orbita Tech was a UK-based IT services firm relying entirely on referrals. They had capacity to grow but no outbound motion whatsoever. No email system, no LinkedIn presence, no ICP definition. Starting from scratch.
What We Built
- Full GTM system built from zero, ICP, positioning, tech stack, and outreach
- LinkedIn authority strategy, content and strategic outreach to UK SMB decision-makers
- Cold email system targeting IT Directors and Operations Managers
- Referral amplification system, converting happy clients into active referrers
- Full CRM setup with pipeline visibility and monthly reporting
Execution Timeline
- Week 1 to 2: GTM blueprint, first ever outbound strategy for Orbita
- Week 3: LinkedIn profile overhaul and content calendar launched
- Week 4: Cold email system live, targeting 300 prospects a week
- Month 2: 8 inbound leads from LinkedIn, system self-sustaining
- Month 3 onward: 22 inbound leads a month consistently
Results Breakdown
- From 0 to 22 inbound leads a month within 90 days
- £184K in attributed revenue impact
- LinkedIn became primary lead source, organic and outbound combined
- Full GTM playbook documented for internal team
- Ongoing retained partnership for continued scaling
"We got a full outbound playbook, not just a campaign. Best pipeline investment we've made. MSH understands what high-ticket B2B buying actually looks like from the buyer's perspective." Sarah O'Brien, Founder at Orbita Tech
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