AI Lead Scoring
AI scores every lead so you focus on the ones ready to buy
R:AIDE scores every prospect against your ideal customer profile using AI. High-score leads get fast-tracked into sequences. Low-score leads get filtered out before they waste your time.
ICP Matching
Your ideal customer profile, quantified
Define your ICP once — industry, company size, job title, tech stack, funding stage — and R:AIDE scores every lead against it. No spreadsheets, no gut feeling.
- Multi-dimensional scoring across firmographic data
- Configurable ICP criteria per campaign
- Scores update as new data becomes available
- Transparent scoring breakdown for every lead
icp-scorer
92
Acme Corp
SaaS / 50-200 employees / Series B
Industry Match
9530%
Company Size
8825%
Tech Stack
9220%
Funding Stage
9015%
Job Postings
8510%
Auto-Prioritization
High-score leads get outreach first
R:AIDE automatically prioritizes outreach to your highest-scoring leads. When your sending capacity is limited, every email goes to the prospect most likely to convert.
- Score-based outreach queue ordering
- Minimum score thresholds per campaign
- Fast-track hot leads into immediate sequences
- Suppress low-score leads from wasting send capacity
outreach-queue
PRIORITIZED QUEUE
1
Acme Corp
95
Sending now2
TechFlow Inc
88
Queued #23
DataPipe Labs
82
Queued #34
CloudSync Co
71
Queued #45
BasicTools Ltd
34
SuppressedContinuous Learning
Scoring improves as you close deals
As prospects convert (or don't), R:AIDE refines its scoring model. The system learns which signals actually predict deals in your specific market.
- Outcome-based scoring refinement
- Per-campaign conversion analytics
- Identify emerging ICP patterns in your data
- Export scoring data for CRM integration
model-refinement
WEEK 1 MODEL
62%
Accuracy
WEEK 8 MODEL
89%
Accuracy
DISCOVERED SIGNALS
Recently hired engineers+18%New
Uses React + PostgreSQL+12%New
Published blog this month+8%
Mentioned scaling in posts+6%
0+
Data points per lead
0%
ICP match accuracy
0x
More efficient outreach
0
Manual scoring needed
FAQ
AI Lead Scoring FAQ
How does AI lead scoring work?
R:AIDE evaluates each lead against your ideal customer profile using firmographic data (industry, company size, revenue), technographic data (tech stack), and behavioral signals (engagement). Each factor is weighted to produce a single score.
Can I customize the scoring criteria?
Yes. You define your ICP criteria and how much weight each factor carries. R:AIDE's AI handles the rest, but you stay in control of what matters most.
What data does R:AIDE use for scoring?
R:AIDE pulls from dozens of verified data sources including company registries, professional databases, and industry records. No third-party data subscriptions needed.
Is lead scoring available on all plans?
AI lead scoring is included on all paid plans. Free trial users get a preview with limited scoring to see the quality before upgrading.
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