ShareChest. rebuilt as infrastructure, not a campaign.
ShareChest needed a pipeline engine that would survive scrutiny from a Series B board. We rebuilt the outbound stack end to end.
- Engagement
- Cold email · LinkedIn · multi-channel rebuild
- Region
- North America
- Industry
- Fintech & Payments
- Duration
- 9 days to first SQL · 6-month run
- 47
- Meetings / month
- 11.4%
- Reply rate
- 9 days
- Time to first SQL
An outbound stack that wouldn't survive a board review.
ShareChest was approaching a category-defining raise. Their existing outbound was duct-taped together across three vendors, no shared data model, and a sending posture that was actively burning the primary domain.
The CRO needed a system the board could audit — not a slide that promised meetings. Every artifact had to be inspectable: domains, sequences, scoring, routing, the lot.
How we shipped the engine.
Three sequenced phases — diagnose, build, run. No pitch decks, no pooled SDRs.
- 01 · Triage
Quarantine the burning domain
Move all outbound off the primary, stand up a dedicated sending infrastructure, and stop the bleed in week one.
- 6 sending domains
- Warmup orchestration
- Deliverability monitor
- 02 · Architect
One account list, one signal layer
Replace three vendor lists with a single Clay-orchestrated source of truth, signal-scored against actual buying intent.
- Clay enrichment graph
- Signal scoring
- ICP definition
- 03 · Ship
Sequence email, LinkedIn, and calling against the same list
Three channels, one account view, one reply queue. SDR replaced with operator-led handling; demo handoff inside 4 hours.
- Multi-channel sequences
- Reply ops queue
- Demo handoff SLA
Assets and systems the operator owns.
Every artifact below is handed off as inspectable infrastructure — not a deck.
Email + LinkedIn + calling sequenced against the same account list with shared reply ops.
Signal-driven enrichment scoring accounts on intent, fit, and timing — refreshed daily.
Reply rate, meeting rate, SQL conversion, and pipeline sourced — auditable to the message level.
Documented system the in-house team owns end-to-end, with calibration cadence.
Before and after, audited line by line.
Results table
Movement on the metrics that mattered
| Metric | Before | After | Note |
|---|---|---|---|
| Time to first SQL | 47 days | 9 days | |
| Reply rate | 1.8% | 11.4% | |
| Meetings / month | 6 | 47 | |
| Primary domain health | Burning | Quarantined · 99% delivery |
The build, week by week.
No mystery box. Every milestone landed on a calendar the client could audit.
- 01Day 0–3
Quarantine
Primary domain pulled out of outbound; sending infra spun up.
- 02Day 4–9
First live sequence
Email + LinkedIn live against the first 400 accounts.
- 03Week 2–4
Signal layer online
Clay graph scoring accounts daily; sequences re-segmented.
- 04Week 5–8
Calling layer + reply ops
Operator-led queue; demo handoff inside 4 hours.
- 05Month 3+
Board-grade reporting
Auditable dashboard handed to CRO for board review.
“They rebuilt our outbound stack like infrastructure. Nine days from kickoff to our first SQL, and it hasn't stopped compounding.”
The Growth Rhino services behind the build.
Cold email
Deliverability-first infrastructure that compounds reply rates.
LinkedIn lead generation
Operator-run LinkedIn motions that earn replies, not block lists.
Multi-channel outbound
Cold email, LinkedIn, calling, and ads — sequenced as one instrument.
A pipeline engine, shipped like this one.
A 30-minute audit. We map your current motion, name what's leaking, and show you what shipping looks like for your sector.