Lookalike Customer Finder Enhanced

1. Contact prospects from this month's ICP
2. 2. Track which scores/signals convert
   3. 3. Update ICP with highest-converting characteristics
      4. 4. Re-score next month's prospects with improved weighting

         5. 5. Watch conversion rate improve

            6. Connected to Your CRM

            7. Your persistent ICP becomes source of truth for:

            8. • Outbound targeting: Who to prospect
               • • Lead scoring: Rate inbound leads against ICP
                 • • Customer segmentation: Which tier did they come from?

                   • • Churn risk: Customers matching old ICP may be at risk

                     • Core Workflow

                     • 1. Build Your ICP (5 Dimensions)

                     • • Firmographics: Industry, size, revenue, stage, geography
                       • • Tech Stack: Common technologies + adoption %
                         • • Growth Signals: Funding, hiring, expansion, launches
                           • • Buying Behavior: Decision makers, deal size, sales cycle

                             • • Psychographics: Culture, values, priorities

                               • 2. Find 100+ Lookalikes

                               • Weighted scoring model:

                               • • Industry Match: 25%
                                 • • Company Size: 20%
                                   • • Tech Stack: 15%
                                     • • Growth Stage: 15%
                                       • • Revenue Range: 15%

                                         • • Geography: 10%

                                           • Similarity Scale: 90-100 (perfect), 80-89 (strong), 70-79 (good)

                                           • 3. Tier & Target

• Tier 1 (90-100): Top 10 prospects, highly personalized (40-50% response)
• • Tier 2 (80-89): Next 40, personalized at scale (20-30% response)

  • • Tier 3 (70-79): Next 50, volume outreach (10-15% response)

    • 4. Track & Improve

    • Record for each prospect contacted:

    • • Similarity score
      • • Response/meeting rate
        • • Deal stage progression

          • • Win/loss outcome

            • Analyze monthly: Which scores/signals correlate with closes?

            • 5. Update ICP Quarterly

            • Based on win/loss analysis:

            • • Up-weight signals present in most wins
              • • Down-weight signals present in most losses
                • • Create ICP v2 with new weightings
                  • • Re-score all prospects in pipeline

                    • • Watch metrics improve

                      • Best Practices

                      • ✅ Quality over quantity (10 perfect > 100 mediocre)

                      • ✅ Track performance + close the loop

                      • ✅ Update ICP monthly based on wins

                      • ✅ Use multiple matching dimensions

                      • ✅ Prioritize recent growth signals

                      • ❌ Don't match only on industry

                      • ❌ Don't ignore performance data

                      • ❌ Don't use static ICPs (update seasonally)

                      • Use Cases

                      • "Find 100 companies like my top 5 customers"

                      • Input: Top customers + their key characteristics

Output: Ranked lookalike list + ICP + contact intelligence + targeting strategy

Bonus: Track conversion by tier for next month's improvements