A Live Look At AI Conversations
Converting Leads into Qualified Meetings.
This demo highlights one of the highest-impact (fast revenue), easiest-to-deploy use-cases:
Increasing the number of leads that convert into booked meetings.
This use-case shows immediate business value as it strengthens 3 weak, yet revenue-critical, parts of the sales process: responding quickly to leads, long-tail lead nurturing and re-engaging quiet leads.
●︎ AI-agents had a meeting-booked conversion rate of 53% vs. human SDRs (41%). (SalesTech News)
●︎ AI-agents made 67% more calls than the human SDRs in the same period. (Neuron)
●︎ Cost per meeting for the SDR team was ~$2,000 vs. the AI-team’s <$100 in this study. (SalesAi)
Try the SMS demo below.
Some questions you can ask Ella:
“Can you explain how this AI would help my business?”
“Can you walk me through what happens after a lead comes in?”
“Before I book a meeting, can you summarize the expected results?”
"I don’t think AI can talk to customers as well as a human, convince me otherwise.”
“I’m not ready to commit to anything. Why meet?”
Start Your SMS Conversation with Ella
Why This Matters
Better lead handling is one of the most direct levers for revenue growth. AI strengthens this function by eliminating delays, maintaining consistent follow-up, and providing tactful, trained, context-aware responses. These are areas where teams struggle to scale reliably.
1. Speed & Quality of Lead Handling
Response time is a primary determinant of lead conversion:
●︎ Contacting a lead within 1 minute increases conversion likelihood by up to 391%.
●︎ After 5 minutes, qualification probability drops by 80%+.
●︎ 70% of conversions require 5+ follow-ups, though most teams stop early.
AI removes these performance gaps. It responds immediately, sustains follow-up over long periods, and uses structured knowledge to guide conversations toward a scheduled meeting, without fatigue, variability, or missed opportunities.
2. Pipeline Re-Activation (Quiet, Dormant, or Neglected Leads)
Many companies carry a significant volume of under-engaged or unworked leads representing latent revenue. Data consistently shows that 30–50% of dormant leads will re-engage when contacted again with a relevant and timely message.
An AI-driven campaign engaging over 2,000 dormant leads produced 144 booked meetings in eight weeks, a 78% increase over the prior baseline. This demonstrates pipeline re-activation as a repeatable, high-ROI revenue lever ideally suited for AI.
Proof of Concept or MVP
OBJECTIVE
Demonstrate measurable lift in qualified meetings by automating lead follow-up, re-engagement, and scheduling using an AI-powered SDR (Ella).
SCOPE OF THE POC
Dataset: 1,000 dormant, quiet, or neglected leads from CRM.
Channels: SMS, web chat, Instagram, WhatsApp.
AI Training:
●︎ Core messaging
●︎ Qualification criteria
●︎ Objection handling
●︎ Scheduling workflows
●︎ Brand/voice guidelines
Duration: 4–8 weeks.
Methodology
1. Lead Intake & Segmentation
Identify dormant, unworked, or long-tail pipeline.
Exclude customers, recent no-responses, or do-not-contact records.
2. AI-SDR Configuration
Upload messaging framework and positioning.
Define meeting qualification rules.
Connect calendar and routing logic.
3. Conversation Engine Deployment
AI handles immediate inbound response (speed to lead).
AI executes structured outreach sequences to dormant leads.
AI maintains long-term follow-up (days to weeks).
AI uses contextual knowledge to guide conversations to a meeting.
4. Monitoring & Controls
Daily review of conversations for quality.
Weekly iteration on messaging, prompts, and qualification logic.
Human override available for escalations.
Success Metrics
Primary KPIs:
●︎ Number of qualified meetings booked
●︎ Conversion rate from dormant lead → meeting
●︎ Response time to inbound inquiries
●︎ Re-engagement rate (% of dormant leads responding)
Secondary KPIs:
●︎ Cost per meeting (AI vs. human SDR)
●︎ Drop-off reduction (no leads ignored or forgotten)
●︎ Positive sentiment or engagement signal rate
Expected Outcomes (Based on Benchmarks)
●︎ 30–50% of dormant leads re-engaged
●︎ Increase in qualified meetings by 50–100% vs. baseline
●︎ Instant response time to inbound leads (vs. minutes or hours)
●︎ Consistent follow-up over weeks, eliminating SDR fatigue
●︎ Reduction in no-response or neglected-lead scenarios
Deliverables at Conclusion
●︎ Performance report with KPIs and lift vs. baseline
●︎ Conversation quality analysis
●︎ Recommendations for full deployment
●︎ Integration plan for ongoing AI-SDR operations
Sources
Independent research supporting the impact of response time, follow-up consistency, and quiet-lead re-engagement:
MIT / InsideSales Lead Response Study
Responding within 5 minutes = 8–10x higher conversion.
https://ebusiness.mit.edu/research/papers/223_LeadResponseManagement.pdfHarvard Business Review — “The Short Life of Online Sales Leads”
Responding in under 1 hour = 7x more likely to qualify a lead.
https://hbr.org/2011/03/the-short-life-of-online-sales-leadsLead Response Management Study (Dr. James Oldroyd)
Highest contact rate occurs within 5 minutes.
https://www.leadresponsemanagement.org/lrm_studyVelocify + UCLA Anderson Study
Responding within 1 minute = +391% conversion.
https://www.businesswire.com/news/home/20130905005270/en/Velocify-Study-Confirms-the-Impact-of-Speed-to-Call-on-Sales-ConversionSalesforce — State of Sales Report
57% of reps report inconsistent follow-up as a major pipeline loss factor.
https://www.salesforce.com/resources/research-reports/state-of-sales/HubSpot Sales Benchmarks
44% of reps stop after one follow-up; 80% of closed deals require 5+ touches.
https://blog.hubspot.com/sales/sales-statisticsXANT / InsideSales – Quiet Lead Re-Engagement Study
25–35% of quiet leads respond to a simple check-in.
https://www.xant.ai/blog/follow-up-response-rates/Gartner — Buyer Re-Engagement Behavior Research
Timely, low-pressure outreach reactivates stalled buyers more effectively than cold outbound.
https://www.gartner.com/en/insights/sales/insights/buyer-behavior
