How to Use Lead Score to Focus on Your Hottest Contacts?

Q: Does Lead Score work for B2B and B2C contacts?

Yes. The score is applied to the Contact profile (the person you are talking to). In a B2B scenario, this is especially useful for identifying who the most engaged decision-makers are within a Company, allowing you to focus your efforts on the right people.

Lead Score is a system that assigns a score to your contacts to indicate each one's purchase potential, and Papo (https://papo.global/) offers this functionality both automatically with Artificial Intelligence and manually. By analyzing conversations and interactions, the platform classifies your leads, allowing your sales team to focus on the most promising ("hot") contacts and optimize the conversion process.

In any commercial operation, time is a valuable resource. Chasing leads who aren't ready to buy can exhaust your team and decrease your conversion rate. The goal of Lead Score is to solve precisely this problem: differentiate contacts who are just researching from those who show a clear intent to purchase.

With this classification, your sales team can direct energy toward opportunities with the highest probability of return, making the sales funnel faster and more efficient.

Criterion	Automatic Scoring (AI)	Manual Scoring and Segmentation
How it works	Artificial Intelligence processes conversation history to identify interest level.	A team member assigns a rating (stars) or a tag (marker) to the contact.
Scoring basis	Semantic analysis of messages, looking for purchase intent, urgency, and specific questions.	Salesperson's perception, information obtained outside the chat, or company-defined criteria.
Ideal for	Large volumes of contacts, 24/7 initial qualification, and pattern identification.	Detailed qualification after a call, validation of AI score, or segmentation by specific criteria.
Usage example	Run analysis on the entire contact base to create an overall ranking of the hottest leads.	Assign the tag "Hot Lead" or 5 stars to a contact who requested a quote during a call.

How Lead Score Works in Papo

Within the Papo platform, lead qualification is flexible, combining AI automation with your team's manual control to get the most accurate view possible of each contact.

Automatic Scoring with Artificial Intelligence

Papo's AI categorization feature is designed to optimize large-scale lead management. The process is simple:

Conversation Analysis: The AI processes existing conversations with your contacts, looking for signs of interest, such as price inquiries, quote requests, or expressions of urgency.
Score Assignment: Based on this analysis, the system assigns a star-based score (1 to 5) to each contact, indicating their potential. Each conversation evaluated to generate a score consumes one AI credit.
Ranking Creation: The platform generates a lead ranking, highlighting "hot contacts" — those with the highest scores — at the top of the list.

This allows the sales team to quickly see who the most promising contacts are across the entire base, without needing to read each conversation individually.

Manual Scoring and Segmentation

Automation is powerful, but human context is irreplaceable. That's why Papo allows your team to refine lead qualification:

Set a Manual Score: A salesperson can manually assign or adjust a 1 to 5-star score to any contact. This is useful for classifying a lead based on an external interaction (like a call or meeting) or for adjusting the AI's score based on their perception.
Use Markers (Tags): Create and assign custom labels to segment your base visually and practically. For example, you can create markers like "Hot Lead," "Requested Quote," or "Reactivate in 90 days." These tags function as a classification system that can be used to filter contacts and create targeted campaigns.

Step-by-Step Guide to Prioritizing Your Hot Contacts

Having a score for each lead is just the beginning. The true value lies in using this information to strategically guide your commercial actions.

Step	Action	Details
1. Generate Scores	Activate AI analysis to process your contact base and generate the initial ranking. For contacts who have re-engaged, request a re-evaluation to update the score.	The initial score creates a starting point for prioritization.
2. Identify Priority Leads	Access the contact list in the CRM and use filters to display only leads with high scores (e.g., 4 and 5 stars) or with specific markers, such as "Hot Lead."	This group represents opportunities with the highest probability of conversion and should be approached first.
3. Organize Work in Kanban	With the list of hot leads in hand, your team can focus efforts in the CRM Kanban. Move these leads' cards to the next stages of the sales funnel.	Actions like "Contact Made" or "Proposal Sent" can be streamlined with Kanban automations.
4. Personalize the Approach	Use the score's context to personalize your communication. A 5-star lead who asked about the "Gold Plan" should receive a different approach than a 2-star lead.	Show that you understand the customer's history. This builds trust and accelerates negotiation.
5. Nurture Other Leads	Low-scoring contacts should not be discarded. Use automations and email or WhatsApp campaigns to nurture them until they show more interest.	Create follow-up sequences to re-engage these contacts periodically and re-evaluate the score when they interact again.

Frequently Asked Questions (FAQ)

How does Papo's AI calculate the Lead Score?

The AI is trained to recognize patterns, keywords, intent, and sentiment in conversation text. It identifies questions, expressions of urgency ("I need it yesterday"), purchase-related terms ("price," "quote"), and problems ("doesn't work," "error"), using these signals to build the score.

Does manual scoring replace AI scoring?

They are complementary. Manual scoring allows a salesperson to adjust the AI's score based on information that automation doesn't have, such as the tone of voice in a call or a negotiation that occurred through another channel. The ideal is to use both for the most complete view.

What happens to low-scoring leads?

They are not lost. Low-scoring leads can be entered into automated nurturing flows, receive educational content via email, or be included in re-engagement campaigns. The goal is to keep them engaged until they are ready to move forward in the funnel.

Can I use Lead Score to segment marketing campaigns?

Yes. You can easily create filters in Papo's CRM to select all contacts with a specific score (e.g., 5 stars) or with a marker ("Hot Lead") and use this list as an audience for a message blast or email marketing campaign, offering an exclusive promotion, for example.

Does Lead Score work for B2B and B2C contacts?

Yes. The score is applied to the Contact profile (the person you are talking to). In a B2B scenario, this is especially useful for identifying who the most engaged decision-makers are within a Company, allowing you to focus your efforts on the right people.