Outbound enrichment pipeline for B2B revenue teams
Consolidated brittle SaaS glue code into a controlled enrichment workflow—lifting reply quality without multiplying vendor contracts.
Product walkthrough
Product walkthrough
Challenge
Revenue leadership at an HR-tech vendor targeting US mid-market seats was underwriting ~$400/month of overlapping enrichment SaaS yet seeing sub-2% cold reply rates. Volume was never the constraint—signal specificity was. Pipeline economics demanded authentic, account-level hooks without additional headcount.
Solution
- CSV ingest from Apollo with governed ICP segmentation (50–500 employees, HR decision-makers).
- Programmatic extraction from careers surfaces plus recent public narrative signals.
- Frontier-model extraction pass surfaces account-level narrative anchors.
- Secondary inference pass generates controlled variant subject lines + bespoke opening lines.
- Exports reconcile directly into Smartlead with QA checkpoints.
Stack
Next.js 14Apollo CSV ingestionManaged scraping layer (careers + social signals)Anthropic Claude (structured extraction)OpenAI GPT-4o (controlled linguistic variants)CSV export → Smartlead
Timeline
- Day 1
- Pipeline skeleton + governed ingest contracts.
- Day 2
- Signal acquisition subsystem + durability testing.
- Day 3
- Extraction prompt suite calibrated against pilot cohort.
- Day 4
- Variant synthesis tuned to corporate voice guidelines.
- Day 5
- QA dashboard + export hardening.
- Day 6
- Stakeholder recording + operational sign-off packet.
Impact
- Observed reply lift from 1.8% → 4.6% on first 600 sends post-cutover.
- Qualified meetings booked increased ~2× within equivalent outbound capacity.
- Recurring tooling spend compressed materially versus prior Clay dependency.
Disclaimer · Walkthrough Loom published. Named client reference / authorized metrics still pending formal publicity approval — do not invent logos.
Productized offer: Fixed-scope scope & pricing
Comparable mandate internally?
Tiered engagements plus bespoke programs—scoped on a single working session.

