Objective: Use the assigned scores to classify leads into different categories based on their likelihood of conversion.
Actions:
Warm Leads: Leads with high scores that show a high level of interest and a good fit with your ideal customer profile.
Warm Leads: Leads with moderate scores that require more interaction and nurturing before they are ready for a sale.
Cold Leads: Low scoring leads that are not currently showing high interest or do not fit your ideal customer profile well.
Example: A lead with a score of 80 could be classified as a hot lead, while one with a score of 40 could be considered a warm lead.
5. Lead nurturing
Objective: Develop lead nurturing strategies kenya number dataset to convert warm leads into hot leads.
Actions:
Email Marketing: Send email campaigns with relevant and educational content.
Retargeting: Use retargeting ads to keep your brand top of mind for interested leads.
Personalized content: Offer personalized content based on the lead's behavior and needs.
Example: Send a series of automated emails to warm leads, offering ebooks, guides, and webinar invitations to keep them engaged and educated about your product.
6. Transfer to sales
Objective: Pass qualified leads (warm leads) to the sales team for more direct follow-up.
Actions:
Automatic Notifications: Set up alerts in your CRM to notify your sales team when a lead reaches a specific score.
Personalized follow-up: The sales team must carry out personalized follow-up, aligned with the needs and interests of the lead.
Example: A lead that achieves a score of 80 receives an automatic notification to be contacted by a sales representative to schedule a product demo.
7. Review and optimization
Objective: Regularly evaluate the effectiveness of your lead scoring system and make adjustments as necessary.
Actions:
Results analysis: Review the conversion rates of qualified leads.
Sales Feedback: Get feedback from the sales team on the quality of qualified leads.
Score Adjustment: Modify scores and criteria based on data and feedback received.
Example: If your sales team indicates that certain qualified leads are not ready to buy, you can adjust the criteria and scores to better reflect the quality indicators.