Automate Lead Scoring for Your Entire Pipeline
Your reps waste hours manually scoring leads that never convert. Landbase uses 1,500+ buying signals to score and prioritize your entire pipeline automatically, so your team focuses on accounts that are actually ready to buy.
Why manual lead scoring breaks at scale
Most revenue teams build scoring models in spreadsheets or basic CRM rules. These models rely on firmographic data alone and miss the behavioral signals that actually predict conversion. The result: reps chase accounts that look good on paper but have zero buying intent, while high-fit prospects slip through unnoticed.
Static scores decay fast
CRM-based scoring uses job title and company size, but those rarely change. A score from six months ago says nothing about whether a prospect is evaluating solutions today.
Signal blindness kills deals
Hiring patterns, tech stack changes, and funding events are the strongest buying signals. Most scoring models ignore them because the data lives outside your CRM.
Maintenance becomes a full-time job
Every new segment, product line, or territory change means rebuilding scoring rules from scratch. Teams spend more time maintaining models than acting on insights.
How Landbase automates lead scoring
Landbase scores every account in your TAM against 1,500+ real-time buying signals. Teams using Landbase see 50% improvement in ICP qualification accuracy and deliver scored lists in hours, not weeks.
Plain language ICP definition
Describe your ideal customer in natural language and Landbase builds a multi-signal scoring model automatically.
Real-time signal detection
Track hiring surges, funding rounds, tech installs, and CRM activity to score on current buying behavior.
Easy CRM export
Export scored, prioritized accounts ready for HubSpot or Salesforce import with full context on each score.
Same-day list delivery
Get a complete, scored account list in hours instead of the weeks it takes to build lists manually.