How It Works
From raw signals to a ranked list in three steps
Leadbay ingests buying signals across your account universe, scores every account against your historical win patterns, and surfaces a draft for every rep before they open their laptop.
Signal ingestion
Each morning, Leadbay scans four signal channels across every account in your universe: job-board postings, news mentions, funding events, and web-traffic indexes. Each event is normalized, deduplicated, and assigned a signal type from a standardized taxonomy.
Intent scoring
The scoring model compares today's signal fingerprint for each account against the fingerprints of every account your team closed in the last 12 months. Accounts whose current signals look like yesterday's wins get a higher score. The model updates as you mark new wins and losses in your CRM.
Draft generation
For every account that scores above your team's threshold, Leadbay writes a first-touch email. The opening line references the specific signal that triggered the score. Tone and sentence structure mirror that rep's last 90 days of sent email. The draft arrives in the CRM as an activity note before the rep starts their day.
The Pipeline
Four signal layers feeding one model
Every signal type is weighted by how predictive it was in your own closed-won history, not by a vendor's default.
Hiring signals
New job postings, role titles, department growth velocity. A spike in sales engineering roles often precedes a procurement cycle.
Funding events
Capital raises at various stages, debt financing, and strategic investment. Fresh capital correlates with tool consolidation and category expansion buying cycles.
News coverage
Product launches, executive changes, market expansions. Leadership transitions and growth announcements are among the strongest leading indicators.
Web activity
Traffic index changes and technology adoption signals. A company adding new categories to their stack while traffic climbs is showing growth intent in multiple dimensions simultaneously.
The Scoring Model
Trained on your wins, not industry benchmarks
Leadbay pulls your closed-won records from the last 12 months and builds a signal fingerprint for each. The baseline model learns which combination of signals, at what intensity and recency, preceded a closed deal in your specific market, segment, and product category.
When you mark a new win or mark an account as a poor fit, the model updates within the next scoring cycle. Over time it becomes sharper at your specific ICP rather than drifting toward a generic industry average.
- Initial model ready within 24 hours of CRM sync
- Model updates on each new closed-won or manually rejected signal
- Separate model instance per team on Team and Scale plans
- Score explanations show which signals contributed most
Setup and Integration
Running in a day, not a quarter
See your first scored account list
Connect your CRM and Leadbay returns a ranked list of your 300 highest-intent accounts within 24 hours.