The situation
The client was a developer-tools startup with product-market fit and a bottleneck: all outbound was the CEO, personally sending 50–100 LinkedIn messages a week. It worked — founder-sent outreach usually does — but it capped at roughly 8 meetings a month and consumed the CEO’s selling time.
The harder problem: they sold to three distinct personas — CTOs, VPs of Engineering, and DevOps leads — with different pain points and different buying motivations. One-size-fits-all messaging had already been tried and had already flattened results.
What we built
- Four parallel campaigns split by persona. CTO messaging led with ROI and strategic impact; VP Engineering with team productivity and developer experience; DevOps with specific technical capabilities and integration points.
- Signal-driven targeting. Clay enrichment on tech stack, public GitHub activity, and hiring signals identified the companies most likely to need the product now.
- True multichannel. LinkedIn outreach via HeyReach ran coordinated with the email sequences — same prospect, same narrative, two channels — instead of two disconnected programs.
- Weekly A/B cadence per campaign, with underperforming angles cut and budget shifted to what converted.
The numbers
By month three the system was producing meetings at roughly 3× the founder-led baseline — from ~8 a month to the mid-20s — with open rates around 44% across the four campaigns. The DevOps segment was the standout, with positive-plus-interested replies near the top of our published 4–12% band; the CTO segment ran lowest volume but converted to opportunities at the highest rate.
The startup has since hired two AEs to handle the meeting volume and expanded outbound into two new market segments. Numbers are what ReplyWorks was directly accountable for — booked meetings and replies, not closed revenue.
“Syed is clearly an expert in this field. He spent a long time working with me getting all the basics of my account set up before launching my campaign. Highly recommended.”
— Toby B., Founder, B2B SaaS · verified Upwork review
What was specific to this engagement
- Persona-split campaigns only paid off because each segment’s TAM was big enough to sustain its own campaign. With a smaller market, four parallel tracks would have exhausted the list.
- Technical buyers punish generic copy harder than any other audience. The enrichment depth wasn’t optional — it was the difference between replies and spam reports.
The honest caveats
- One of the four campaigns — a broad “engineering leaders” catch-all — never beat the persona-specific ones and was retired at month two. The catch-all is listed here because we ran it, not because it worked.
- Meeting volume at this level required the client to actually staff the calendar. Until the AEs were hired, the founder was the bottleneck again — this time on the good side of the funnel.