AI-Powered Lead Scoring System
Trusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartupsTrusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartups
Trusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartupsTrusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartups
- Client : SmartLead
- Industry : B2B SaaS
- Services : AI Apps & Integration, CRM Integration
- Year : 2025
- Duration : 4 months
+92 300 8111838
info@digiob.com
Project overview
SmartLead's sales team was working every inbound lead in the order it arrived. We built a scoring model on top of their CRM so reps start each day with the leads most likely to close.
Client challenges & requirements
Inbound volume had tripled in a year, but the team was the same size. Reps spent hours on leads that never converted while hot prospects waited days for a reply.
- Thousands of leads a month with no consistent way to prioritise them
- Lead data spread across HubSpot, web forms, and spreadsheets
- No feedback loop between closed deals and how new leads were ranked
Our solution
We unified the lead data into a single pipeline, trained a scoring model on two years of deal history, and pushed scores and reasons straight into HubSpot. The model retrains weekly from closed-won and closed-lost outcomes.
38%
Higher conversion rate
2x
Faster first response
12hrs
Saved per rep, weekly
4 mo
From kick-off to launch
