
Bot goals configuration for defining qualification objectives
Architecture overview
Here is how the lead qualification flow works:- Lead enters the system — A new contact arrives via form submission, web chat, SMS opt-in, Facebook ad, or manual import.
- Bot initiates conversation — A workflow triggers the Conversation AI bot to send the first message within seconds.
- Qualifying questions — The bot asks a series of questions to determine fit: budget, timeline, needs, decision-making authority.
- Lead scoring — Based on the answers, the bot assigns a score using custom field updates and tags.
- CRM update — The bot writes answers to custom fields on the contact record and moves the opportunity to the appropriate pipeline stage.
- Routing — Hot leads get an immediate notification to a sales rep. Warm leads enter a nurture sequence. Cold leads are tagged for future marketing.
Step-by-step build
Create custom fields for qualification data
Set up your CRM pipeline
- New lead — Contact just arrived, not yet engaged
- Qualification in progress — Bot is actively qualifying
- Qualified - Hot — High score, ready for sales
- Qualified - Warm — Medium score, needs nurture
- Qualified - Cold — Low score, long timeline or low budget
- Disqualified — Not a fit
- Contacted by sales — Sales rep has reached out
Create the Conversation AI bot
- Name: “Lead Qualifier”
- Type: Suggestive (recommended for initial setup) or Auto-pilot once tested
- Channels: Toggle on the channels where leads arrive — typically SMS, Web Chat, and Facebook Messenger
- Calendar: Leave unassigned for now (this bot qualifies, not books)
Write the bot prompt
- Greet the lead and set expectations
- Ask qualifying questions one at a time (never dump all questions at once)
- Listen for buying signals
- Summarize what it learned
- Hand off to the appropriate next step
Configure bot actions for CRM updates
- Update custom field: Map each qualifying answer to its corresponding custom field
- Add tag: Add tags like “qualified-hot,” “qualified-warm,” or “qualified-cold” based on the conversation outcome
- Move opportunity: Advance the opportunity to the appropriate pipeline stage
- Assign user: Route hot leads to a specific sales rep or round-robin assignment

Appointment booking action configuration for scheduling qualified leads
Build the lead scoring workflow
- Score 70–100: Tag “qualified-hot,” move to “Qualified - Hot” stage, send internal notification
- Score 40–69: Tag “qualified-warm,” move to “Qualified - Warm” stage, enroll in nurture sequence
- Score 0–39: Tag “qualified-cold,” move to “Qualified - Cold” stage
Create the hot lead alert
- Internal notification — Send an email and/or SMS to the assigned sales rep with the lead’s name, score, and qualification summary
- Task creation — Create a task for the sales rep to call the lead within 15 minutes
- Bot handoff — Stop the Conversation AI bot on this contact so the sales rep can take over manually
Build the nurture sequence for warm leads
- Day 0: Send a value-add email (case study, guide, or resource relevant to their pain point)
- Day 3: Follow-up SMS checking if they have questions
- Day 7: Send a second resource or testimonial
- Day 14: Re-engagement message with a soft call to action
- Day 21: Final outreach before moving to cold
Full prompt
Testing your qualification bot
Hot lead simulation
Warm lead simulation
Cold lead simulation
Resistance test
Human handoff test
Multi-channel test
CRM verification
Optimization tips
- Analyze drop-off points. Review conversation transcripts to find where leads stop responding. If most drop off at the budget question, soften the framing in your prompt.
- A/B test opening messages. Try different first messages — question-based versus statement-based — and track which gets higher response rates.
- Refine scoring weights. After 30 days, compare your lead scores against actual close rates. Adjust the scoring weights so the model better predicts which leads actually buy.
- Shorten the flow for repeat visitors. If a contact has already been qualified, update the prompt to skip previously answered questions and focus on what has changed.
- Add industry-specific questions. Generic qualification works, but adding one or two questions specific to your industry dramatically improves lead quality.
- Monitor response time. The bot should respond to the first message within 60 seconds. If there are delays, check your workflow trigger configuration.