Leads scored automatically by company size, industry fit, tech stack, and budget signals. Enrichment data added instantly. Sales sees qualification context before first call. 40% better qualification accuracy.
B2B SaaS services company improved lead qualification accuracy from 45% to 65% through automated scoring and enrichment
Qualified leads routed to appropriate rep within 15 minutes instead of 4-hour manual review process
Sales team converted more qualified leads when freed from researching and qualifying unfit prospects
6 B2B service companies deployed qualification automation in Q4 2024
Sales reps spend 30-45 minutes researching each lead—LinkedIn stalking for titles, checking company website for size/funding, searching tech stack databases. Qualified leads wait hours while reps research. Competitors respond first.
Each rep qualifies differently. Some focus on company size, others on tech stack fit, others on seniority. No systematic approach. Good-fit leads rejected, poor-fit leads pursued.
Leads distributed evenly regardless of fit with rep expertise. Enterprise prospects go to SMB specialist. Vertical-specific leads go to generalists. Conversion suffers from misalignment.
Leads scored instantly by firmographic data (company size, revenue, industry), technographic data (current tech stack), engagement signals (content downloaded, pages visited), and budget indicators. Scoring updated in real-time as leads engage.
Company data, tech stack intelligence, funding information, and contact details added automatically via Clearbit, ZoomInfo, or similar services. Sales sees complete context before first touch.
High-score leads routed to senior reps within minutes. Vertical-specific leads routed to specialists. Enterprise vs SMB routing based on company size. Prioritization queue shows reps best-fit prospects first.
"We went from 20% of leads being good fits to 65%. Our sales team spends time with prospects who will actually buy, not tire-kickers and students doing research projects."
— VP Sales, B2B Marketing Services
Multi-factor scoring engine that evaluates leads against your ideal customer profile. Automatic enrichment adds company intelligence and tech stack data. Smart routing delivers qualified leads to appropriate reps with full context. Built for speed and accuracy at scale.
Includes: Lead scoring algorithm, Clearbit/ZoomInfo enrichment, tech stack detection, engagement tracking, smart routing logic, rep notification system, disqualification workflows, CRM integration, performance analytics.
Unlike basic lead scoring that only looks at form fills, this is multi-signal intelligence. We combine firmographic data, technographic data, behavioral signals, and your historical win/loss patterns to predict fit accurately. Sales gets qualified leads with research done.
Week 1: Analyze historical won/lost deals to identify ideal customer profile characteristics. Build scoring criteria and weights. Week 2: Configure enrichment integrations with Clearbit or similar services. Week 3: Build routing logic based on rep territories and expertise. Week 4: Deploy with pilot lead flow, validate scoring accuracy, tune thresholds. Week 5: Full deployment with sales team training and ongoing optimization.
Integrates with CRM for lead data and assignment, enrichment services (Clearbit, ZoomInfo) for company intelligence, marketing automation for engagement tracking, calendar for meeting scheduling, Slack for rep notifications. Real-time webhooks ensure instant processing.
Timeline
4-5 weeks to production deployment
Automation handles research and initial scoring, humans make final decisions. Your reps see qualification data instantly and focus judgment on borderline cases. Obvious no's filtered automatically, obvious yes's fast-tracked.
We use enrichment strategically—only for leads that pass initial qualification filters. Cost per qualified lead goes down because you're not enriching junk traffic. Accuracy improves through multi-source validation.
We build multiple scoring models—one per product line or segment. Routing logic accounts for complexity. Enterprise product leads scored differently than SMB product leads. Sophistication that matches your business.
See how intelligent scoring works for your sales team