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Dev Tools · LinkedIn + Email

Stackify
Stackify builds application performance monitoring

Industry
Dev Tools
Channel
LinkedIn + Cold Email
Timeline
10 Weeks
Key Result
60 Qualified Calls

Who Is Stackify?

Stackify builds application performance monitoring (APM) and log management tools for development teams. They had a strong product used by thousands of developers individually — but converting that into enterprise team-wide sales required reaching engineering managers and VP Engineering personas who are among the hardest to engage cold.

They had tried cold email previously with a 1.2% reply rate. The problem wasn't the product — it was that generic B2D messaging didn't work on enterprise buyers who care about team-wide ROI, not individual developer features.

The Problem

01

Generic Developer Messaging

Their outreach was written for individual developers — feature-heavy and technical. Enterprise buyers (VP Eng, CTO) care about cost savings, team adoption, and reducing incident response time. The messaging didn't speak their language.

02

Disconnected Channels

Email was being used in isolation. LinkedIn was completely unused despite being the primary platform where engineering leaders engage with vendor content and make purchasing decisions.

The Plan We Built

We shifted the entire messaging framework from developer-centric to business-outcome-centric. For VP Engineering, we focused on three angles: reducing mean-time-to-resolution (MTTR), onboarding new engineers faster, and consolidating tooling spend. Each angle was validated through LinkedIn content engagement before ever sending an email.

We built a coordinated LinkedIn-first sequence: connect, engage with 2-3 posts over 5 days, then send a brief value-led DM. Only after LinkedIn engagement did we follow up with email — creating the impression of a warm outreach even though it was fully automated.

How We Executed

Wk 1
ICP & Messaging
Enterprise Buyer Persona Mapping
Mapped 3 buyer tiers: VP Eng (primary), CTO (secondary), Sr. Engineering Manager (tertiary). For each, defined 2 pain angles and the specific business outcome framing that would resonate. Built the LinkedIn + email sequence architecture.
Persona MapMessaging FrameworkSequence Architecture
Wk 2
LinkedIn Setup
LinkedIn Sequence Launch & Connection Campaign
Set up LinkedIn automation via Dux-Soup with strict rate limits to protect account health. Began connecting with 40 prospects/day from the VP Eng segment. Personalized connection notes referenced their tech stack or recent engineering blog posts.
40 Connects/DayPersonalized NotesContent Engagement
Wk 2–3
List Building
Prospect Research (Apollo + Clay)
Built 1,800-contact list filtering for VP Engineering + CTOs at SaaS companies 200–2000 employees. Used technographic data to identify teams using competitors (Datadog, New Relic) as high-intent targets.
1800 ContactsCompetitor TechnographicsClay Enrichment
Wk 3–4
Email Launch
Cold Email Sequences with AI Personalization
Launched 5-step email sequences to warm LinkedIn connections first. AI first lines referenced their specific tech stack, recent hiring spree, or an engineering blog post. Subject lines were tested across 4 variants.
AI First Lines4 Subject Line Tests5-Step Sequences
Wk 5–10
Optimize & Scale
Iteration & Volume Scale
Reply rate hit 4.2% by week 6. Doubled volume on winning variant. LinkedIn DM → Email combo outperformed standalone email by 3.1×. Managed all reply logistics, booked calls into AE calendars directly.
3.1× Multi-Touch LiftReply ManagementAE Calendar Integration

What We Delivered

Reply Rate Increase
60
Qualified Enterprise Calls
4.2%
Peak Reply Rate

"We'd tried cold email before and written it off. MSH completely changed our view — the LinkedIn-first approach meant prospects already knew who we were when the email arrived. 60 qualified calls in 10 weeks was genuinely shocking."

— Head of Sales, Stackify

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