Lead Scoring
Lead scoring assigns numerical values to prospects based on characteristics (firmographic fit, budget, company size) and behaviors (website visits, content downloads, product signups) to predict which leads are most likely to convert to paying customers. Higher scores get priority attention from sales.
Why Lead Scoring Matters for SaaS Companies
Without lead scoring, sales teams treat every lead equally — spending the same time on a perfect-fit prospect as on someone who will never buy. For Seed to Series B companies with limited sales capacity, scoring ensures your best leads get attention first. The difference between a scored and unscored pipeline is often the difference between 15% and 30% conversion rates.
An Operator's Take
Lead scoring does not need to be complicated at the early stage. At one engagement, we built a scoring model with three factors: company size (from form fill), plan page visits (from analytics), and tool usage (from free calculator completions). Leads that scored above threshold got same-day outreach. Below threshold got nurture emails. Sales conversion improved 45% because reps stopped spending time on leads that were never going to close. The model was a spreadsheet formula — no expensive MarTech required.
Common Mistakes
What I see go wrong at Seed to Series B companies.
Over-engineering the scoring model with 50+ signals before having enough data to validate them. Start with 3-5 signals that correlate with conversion in your existing data.
Scoring only on demographic fit without behavioral signals. Someone who matches your ICP but shows no engagement is a lower-quality lead than a slightly off-ICP prospect who completed your free tools.
Setting it and forgetting it. Lead scoring models need recalibration quarterly based on actual conversion outcomes.
What to Do This Week
Concrete steps you can take right now.
Look at your last 20 closed-won deals. What 3-5 characteristics or behaviors did they share before converting?
Build a simple scoring model (even in a spreadsheet) using those signals. Apply it to your current pipeline.
Use the ICP Assessment tool to clarify which company characteristics predict the best customers.
Related Resources
Try These Tools
Further Reading
Frequently Asked Questions
How do you build a lead scoring model?
Start simple: identify 3-5 signals that correlate with conversion (company size, role, engagement level, product usage). Assign points to each. Set a threshold for 'sales-ready.' Route above-threshold leads to sales, below-threshold to nurture. Validate quarterly by comparing scores to actual conversion outcomes and adjust weights.
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