Situation
CloudMetrics is a B2B SaaS provider for cloud monitoring with over 200 incoming leads per month. The 6-person sales team spent the majority of their time on manual data entry in Salesforce, lead research, and sending follow-up emails instead of having actual sales conversations.
Challenge
Manual lead processing took an average of 25 minutes per lead. The sales team spent 60% of their working time on administrative tasks. Many hot leads were contacted too late and lost to competitors. There was no systematic prioritization in place.
Requirements
- Automatic lead qualification and scoring based on company data and behavior
- Salesforce integration with bidirectional data sync
- Automated email sequences with personalized templates
- Pipeline dashboard with real-time conversion data
- Notification system for hot leads with SLA tracking
Our Approach
We developed a fully automated lead processing system that integrates seamlessly with the existing Salesforce environment. Every incoming lead is automatically enriched, scored, and assigned to the correct pipeline stage. Personalized email sequences are triggered automatically, and the sales team receives real-time notifications for high-quality leads.
Tech Stack
Process
Salesforce audit: Analyzed existing fields, workflows, and data quality
Lead scoring model: Defined and weighted scoring criteria with the sales team
Integration: Built bidirectional Salesforce sync, email automation, and enrichment pipeline
Email sequences: Created 5 personalized drip campaigns with A/B testing
Training & rollout: Trained sales team, set up dashboard, defined KPIs
Results
Lead processing time dropped from 25 minutes to under 2 minutes per lead. Conversion rate increased by 40% as hot leads are now contacted within 5 minutes. The sales team now spends 80% of their time on real conversations instead of admin work.
“In 10 days we got what an agency promised us in 3 months. Our sales pipeline now runs like clockwork, and the close rate has gone through the roof.”
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