Part of Run Outbound Campaigns End to End
Sales Blueprint
Enrich & Segment Lists
Add research columns to prospect lists and tier companies by hypothesis fit and data richness.
What problem does this solve?
Adds custom research data points to your prospect list and tiers companies by hypothesis fit, enabling personalization and segmentation at scale. Without enrichment, all contacts on your list are treated the same; enrichment reveals which companies are the best fit and what resonates with each tier.
How does it work?
Work through three skills in sequence: 1. Use enrichment-design to plan which custom data points you need (industry, use case, technology stack) and map each to a hypothesis. 2. Use list-enrichment to run Extruct's AI tables to research each data point per company. 3. Use list-segmentation to tier companies by hypothesis alignment and data completeness. Output: a fully enriched table with custom columns and tiering, ready for people search and personalized email generation.
Included Skills
No skills in this group
What's required to run this?
Requires Extruct API token. Enrichment runs as AI table operations, with each data point costing 1 credit. Plan your columns before running enrichment to avoid wasted credits.
Key Features
Enrichment Design
Plan custom research columns mapped to pain hypotheses and segmentation logic.
List Enrichment
Run AI-powered research to add custom data points to every company in your list.
Hypothesis-Driven Tiering
Segment companies into Tier 1 (best fit), Tier 2 (good fit), and Tier 3 (exploratory) based on enriched data.
Data Completeness Scoring
Rank companies by how much enriched data is available, ensuring emails route to prospects with the best personalization data.
About This Blueprint
- Industry
- SaaS Sales & GTM
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