Sales Intelligence
Use Case: Predictive Lead Scoring & Automation
Ensuring your sales team only speaks to prospects who are ready to buy.
The Challenge
A B2B consultancy recieves 50+ leads per week through their website, but only 5% are qualified. The sales team wastes 60% of their day calling "tire kickers" or low-intent leads, resulting in missed opportunities with high-value clients.
The Techlyst PotentialSolution
Deploy an Automated Lead Intelligence engine that scores prospects the moment they hit the "Submit" button.
- Data Enrichment: AI instantly searches the lead’s LinkedIn and company website to gather firmographic data (revenue, employee count, industry).
- Intent Analysis: An LLM analyzes the "Message" field to determine if the prospect has an urgent need or is just browsing.
- Prioritization: Leads are scored 1–100. High-scoring leads get an instant text notification to the sales head; low-scoring leads enter an automated "nurture" email sequence.
The Impact
- Sales Efficiency: The sales team increases their "Closing Rate" by 40% because they stop talking to unqualified leads.
- Speed to Lead: Response time for high-value prospects drops from 4 hours to 2 minutes.
- Automation: 100% of lead research is now handled by AI, saving 10 hours of manual research per week.
Stop chasing bad leads.
Ask me to make a "Lead Scoring Logic" diagram for your team.
Book a Discovery Call