Content pipeline
Content pipeline running on autopilot
Keyword research and publishing pipeline for an in-house SEO stack. Indexed pages generated, linked, and maintained without a writer on payroll.
Publishing without an in-house writer
Prospect research
The SDRs show up to 200 pre-researched prospects, not a blank CRM
Sourced nightly from ICP filters, enriched with firmographics, SMTP-verified, and paired with a personalised opener from recent company or person activity.
Client
UK B2B marketing agency
Build time
4 weeks to production
Headline outcome
Pipeline without an SDR team
The problem
SDRs spend more time researching than selling. Tools like Apollo and Lusha hand over bad emails, stale data, and no actual context, the opener still has to be written. Outbound conversion from untargeted lists sits at 0.5-1%, so teams throw more volume at the wall, which kills deliverability.
The system
A nightly pipeline that takes an ICP definition, sources matching companies + decision-makers, SMTP-verifies every email before writeback, and generates a genuine personalised opener from a recent LinkedIn post, news mention, or hiring signal per contact. Existing clients and recently-contacted prospects are excluded automatically.
How it runs
The workflow, end to end.
01
ICP sourcing
Companies matching size, sector, tech stack, and geo filters are pulled nightly from enrichment APIs. Decision-maker roles are resolved per company.
02
Email discovery + verification
Voila Norbert for discovery, then SMTP handshake verification against the real mail server. Anything under 95% confidence gets dropped.
03
Context enrichment
Recent LinkedIn posts, funding events, hiring changes, press mentions, and podcast appearances are pulled per contact.
04
Opener generation
Claude writes a one-line personalised opener referencing a specific recent event. House style and tone are enforced via a reviewed system prompt.
05
CRM handoff
Only verified, de-duplicated, opener-paired prospects land in the CRM. Everything else is filtered out before a human sees it.
Outcomes
What it moves.
200
Verified prospects / day
<2%
Email bounce rate
~3x
Reply rate uplift vs templated
-80%
SDR research time / week
Stack
What it's built on.
- Apollo + Apify (sourcing)
- Voila Norbert + SMTP verification
- Claude (opener generation)
- HubSpot / Pipedrive API
- Python + Postgres
B2BOutboundLead gen
Running outbound? Let's look at your current list quality.
20 minutes. No slides. One process, one prototype.
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