Skip to main content
Fit Score evaluates how well accounts align with your Ideal Customer Profile (ICP). Unlike traditional scoring that relies on static firmographics, Fit Score uses AI agents to research accounts and answer custom questions that aren’t stored in your CRM.

​
How it works

Seam uses a two-agent system to score accounts:
  1. Research agent - Investigates the account across multiple data sources (CRM, LinkedIn, company websites, public data)
  2. Evaluation agent - Reviews findings against your criteria and assigns a grade with explanation
This process takes 30-60 seconds per account and produces a letter grade (A, B, C, or D) with a detailed explanation.

​
Grading system

GradeMeaningAction
APerfect fit - strongly matches all ICP criteriaTop priority for sales and marketing
BGood fit - matches most criteriaStrong candidate for engagement
CPartial fit - matches some criteriaLower priority or nurture track
DPoor fit - does not match ICPExclude from active campaigns
Why letters instead of numbers? Sales teams don’t need to debate whether a 92 is better than an 88. Simple A/B/C/D grades make prioritization clear and actionable.

​
Using fit score in plays

Fit Score acts as a filter in automated plays to ensure you only engage good-fit accounts. Example play: New Funding Outreach 
Trigger: Account raises Series B funding
  ↓
Filter: Fit Score = A or B?
  ↓ YES
Actions:
  - Research and find 3 buying committee members
  - Enrich contact data
  - Add to congratulatory email sequence
  - Notify assigned SDR

Filter: Fit Score = C or D?
  ↓ NO
Skip - don't waste resources on poor-fit accounts
This prevents wasting:
  • ✅ Marketing budget on wrong targets
  • ✅ SDR time on low-potential accounts
  • ✅ Email sends on non-ICP companies

Build Plays with Fit Filters

Learn how to configure plays using Fit Score

​
Multi-dimensional scoring

Fit Score is one dimension in Seam’s comprehensive scoring model:
Score typeWhat it measuresTimeframe
FitICP alignment (foundational)Static/Stable
IntentBuying signals, topic researchDynamic/Momentary
SignalsTrigger events (hiring, funding)Dynamic/Momentary
ReachContact availability and qualityStatic/Stable
Key distinction: Fit Score is foundational and stable—it measures whether a company is fundamentally a good target. Intent and Signals scores tell you when a good-fit account is heating up.

Intent Scoring

Track buying signals and research activity

Signal Monitoring

Monitor trigger events across accounts

​
Best practices

Analyze your best customers and translate their characteristics into criteria. What do your A+ customers have in common?
“Does this company have a dedicated data engineering team?” is better than “Does this company care about data?”
Define what makes an account NOT a fit. Competitors, wrong industries, or accounts too small/large.
For each criterion, specify what constitutes a strong yes, a partial match, and a no. This helps the evaluation agent grade accurately.
After scoring your first 100-200 accounts, review the grades. Are the right accounts getting A/B scores? Refine criteria if needed.
Combine Fit Score with Intent and Signals. An A-fit account with high intent is your hottest opportunity.

​
Limitations & considerations

Scoring takes 30-60 seconds per account. Not suitable for real-time scoring during inbound form submissions.
Accounts must exist in your CRM (Salesforce/HubSpot) to be scored. Seam doesn’t discover net-new accounts via Fit Score.
Research quality depends on publicly available data. Highly private companies or niche industries may have limited information.
Most valuable for companies with 1,000+ potential accounts. Less critical if you have 50 well-known target accounts.
Fit Score produces a grade + explanation. If you need specific data points (e.g., “number of retail locations”) stored as fields, use enrichment plays instead.

​
Common questions

Most customers re-score quarterly or when significant company changes occur (funding, acquisition, leadership changes). Fit Score is relatively stable over time.
Not directly. Upload accounts to your CRM first, then run Fit Score. Alternatively, use Seam’s TAM building features to discover and score accounts simultaneously.
Scores can change if the company evolves (e.g., grows from 200 to 600 employees, launches APIs). Re-score periodically to keep data fresh.
Yes. Seam shows which data sources informed each criterion’s answer, providing transparency into how grades are determined.
The evaluation agent will note that information is unavailable. You can choose whether unavailable data should impact the grade or be ignored.