How Lode Leads scores every lead on a 100-point scale

Every lead generation tool claims to score leads. Most of them assign points based on job title seniority and company size. That is not scoring. That is a lookup table.

Lode Leads uses a dual-scoring system that combines two independent AI assessments into a single 100-point score. Here is how it works, why it matters, and what the numbers mean for your pipeline.

Two scores, one number

When a lead enters Lode Leads, it goes through two separate AI evaluations:

1. Factual assessment (0-50 points)

The factual score evaluates objective, verifiable data points from the lead's profile and company:

• Title authority: Does this person have decision-making power? A VP of Marketing scores higher than a Marketing Coordinator. But unlike rule-based systems, the AI understands that "Head of Growth" at a 20-person startup has more budget authority than "VP of Digital Innovation" at a 50,000-person bank.
• Company signals: Headcount, revenue indicators, recent hiring activity, and technology stack signals. A company with 10 open engineering roles is in growth mode. A company that just closed their Series B has budget to spend.
• Platform presence: Leads found on multiple platforms score higher because cross-platform presence indicates an active, engaged professional.
• Data completeness: How much verified information is available? A lead with a confirmed email, phone number, company website, and social profiles is more actionable than one with just a name and title.

2. Contextual AI assessment (0-50 points)

The contextual score evaluates fit against your specific search criteria and campaign goals:

• Persona match: How closely does this lead match the target persona you described? The AI evaluates each dimension (role, company type, industry, geography) independently and scores the composite fit.
• Intent signals: Is there evidence of buying intent? Recent job postings, public statements about challenges your product solves, or engagement with content related to your category.
• Timing relevance: Companies that recently raised funding, opened new offices, or made leadership changes are more likely to be evaluating vendors.
• Competitive landscape: Does the lead appear to be using a competitor or legacy solution? Signals like outdated technology mentions or complaints about current tools contribute to the score.

What the scores mean

Leads scoring 80+ are the ones your team should call first. Leads scoring 60-79 are worth reviewing. Leads below 60 are automatically filtered -- your team never sees them, never wastes time evaluating them.

Why dual scoring outperforms single-model approaches

Most scoring systems use a single model that blends factual data and fit criteria into one opaque number. The problem is that a single model cannot distinguish between two very different failure modes:

• Strong data, weak fit: The CEO of a Fortune 500 company has a high factual score, but if you sell restaurant POS systems, the contextual fit is zero. Dual scoring: 45/50 factual + 5/50 contextual = 50 total. Filtered out.
• Perfect fit, weak data: An Operations Director at a 200-person logistics company is your ideal buyer, but their LinkedIn was last updated in 2022. Dual scoring: 15/50 factual + 40/50 contextual = 55. Not actionable yet.

Scoring across platforms

When the same business appears on multiple platforms, the AI cross-references signals: verifying company info across sources, detecting growth signals from specific platforms (new Google Maps locations, increasing Instagram posting), and scoring engagement quality rather than just follower count.

Every lead through Lode Leads gets scored on a 100-point scale before it reaches your pipeline. Start with a free trial and see the scores for yourself.