Custom Scoring (ICP, Churn, Upsell)

Last updated: April 22, 2026

Custom Scoring (ICP, Churn, Upsell)

Score any account or contact on a custom dimension with weighted inputs. CRED's scoring engine lets commercial and RevOps teams build ICP fit, churn risk, or upsell propensity scores using any field or signal in the graph, with transparent explanations.


Data strength at a glance

Rating scale: Strong — dense, fresh, validated. Solid — good coverage with known gaps. Partial — core fields only. Thin — custom work needed. None — not covered.

Industry

Overall rating

What it means here

Technology / SaaS

Strong

Rich input feature set.

Consumer Brands, CPG & Retail

Strong

—

Professional Services

Solid

—

Financial Services

Solid

—

Sports, Media, Talent

Solid

Industry-specific fields available.

Healthcare, Manufacturing, Real Estate

Partial

Input field depth limits score quality.


Core data — coverage, accuracy, recency

Values below are indicative ranges for mid-market+ accounts in developed markets. Ask your CRED account team for live coverage on your specific list, ICP or region.

Score templates

Field

Coverage

Accuracy

Recency

Notes

ICP fit score (template)

Strong

Benchmarked on wins

On-demand

DS model

Churn risk (template)

Solid

Requires historical labels

On-demand

DS model

Upsell propensity (template)

Solid

Requires historical labels

On-demand

DS model

Custom weighted-field score

Strong

—

On-demand

Fully configurable

Explainability

Field

Coverage

Accuracy

Recency

Notes

Per-field contribution breakdown

Strong

—

On-demand

—

Peer percentile on each input

Strong

—

On-demand

—

What changed since last score

Strong

—

On-demand

Diff explanation


Signals we fire for this use case

Signal

How it's detected

Typical latency

Score moved above / below threshold

DS model

Daily

Input field decayed (affects score)

DS + decay detector

Daily

New input field added to model

Model updates

On-demand


What this use case does not cover

  • Guaranteed causal interpretation (scores are predictive, not causal)

  • Replacement for a proper experimentation / A/B programme


Related use cases

  • Prospecting & ICP fit

  • CRM hygiene & sync

  • Hiring & org-change alerts


Have a specific question about whether CRED can answer this for your team? Contact your CRED account team for a tailored review of coverage against your list or ICP.