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Phase 5: Segmentation & Qualification (Sorting the Harvest)
Once the data is in your CRM, leverage its capabilities to segment and qualify leads. This is where "List Mining" principles are applied.

Behavioral Segmentation: Group leads based on any historical or ongoing engagement (e.g., if the CSV indicates they visited your website, segment them by pages viewed).
Intent-Based Segmentation: strong intent signals (e.g., companies gambling data taiwan using a competitor's product, or those in a rapidly growing industry sector in Bangladesh).
Lead Scoring: Implement a lead scoring model based on firmographic fit (how well they match your Ideal Customer Profile) and engagement signals. This prioritizes leads most likely to convert.
Qualification Criteria: Define clear criteria for Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQLs), ensuring only the most promising leads are passed to your sales team.
This phase transforms enriched profiles into qualified, prioritized prospects.

Phase 6: Consent-Driven Engagement & Nurturing (Cultivating Relationships)
This is the most critical phase for turning any lead from a CSV/export into a "real lead"—securing explicit consent for direct marketing. This is particularly crucial for externally sourced or older internal CSVs where initial consent may be ambiguous.