OpenClaw for Lead Gen Workflows
Outcome
Build a lead engine that captures, scores, and follows up without manual bottlenecks.
Who this is for
Operators who need predictable pipeline generation with clean qualification.
System architecture
- Intake: forms, inbound messages, social signals
- Enrichment: company/person context
- Scoring: ICP + intent model
- Action: outreach and follow-up cadence
- Review: weekly pipeline quality report
Implementation steps
- Define ICP and disqualifiers.
- Set source ingestion and normalization.
- Add score tiers (A/B/C).
- Trigger tailored sequences per tier.
- Log outcomes and retrain scoring rules.
Example scoring model
- role fit: 0-3
- company fit: 0-3
- pain urgency: 0-2
- buying signal: 0-2
A-tier: 8-10, B-tier: 5-7, C-tier: 0-4
Failure modes and fixes
- high volume, low quality → strengthen disqualifier rules.
- low reply rates → improve first-touch relevance and timing.
- follow-up fatigue → cap cadence and diversify touchpoints.
KPI suggestions
- qualified lead rate
- meeting-booked rate
- reply rate by segment