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ICP scoring and Decision Mode

ICP scoring with Decision Mode: qualify accounts before enrichment

Build a calibrated ICP rubric, review keep, reject and unsure outcomes, and use a Decision Mode checkpoint before downstream enrichment.

By Hugo Dupont · 3 min read

What is ICP scoring with Decision Mode?

ICP scoring with Decision Mode evaluates prospect evidence against a defined ideal customer profile and returns calibrated probabilities for possible answers. Teams can use those results to keep, reject, or review rows before later work. The rubric, source context, thresholds, and treatment of uncertain rows remain decisions for the team.

Build a useful rubric

Start with criteria you can observe in the data, such as whether a company sells to businesses or has a stated product relevant to your offer. Enrich its website first, give the decision model the relevant context, and specify what counts as a strong match or insufficient evidence. A probability helps compare options; it is not proof that a company will buy.

Decision Mode uses typesafe-ai/jev-1.14.0 for calibrated, non-generative evaluation. Its base fee is $1.00 per 1,000 rows plus 1.25 times input token cost, approximately $1.01 per 1,000 in the reference scenario. Actual token use changes the total. The model can support three-way keep, reject, and unsure routing when the Flow is configured accordingly.

OutcomeExample treatmentNext step
KeepStrong evidence of fitContinue to selected downstream work
RejectEvidence contradicts the rubricSkip the selected downstream work
UnsureEvidence is missing or ambiguousHold for a human review

Where should the checkpoint sit?

Place the evaluation after the evidence it needs and before expensive optional enrichment or personalization. In a full Flow run, configured filters can prevent rejected rows from reaching downstream steps. A test run marks the verdicts but does not stop rows at gates, so downstream test steps can still run and incur charges.

For example, 10,000 succeeded website lookups cost $60 at the default $0.006 rate. The reference Decision Mode estimate is about $10.10 for 10,000 rows. If 4,000 rows are rejected before a $0.01 personal LinkedIn lookup, the gross avoided lookup spend is $40, before accounting for the gate cost and any misses. This is an illustration, not a forecast.

How should a team validate the result?

Review a sample of clear matches, clear non-matches, and uncertain cases with the people who own the ICP. Compare the source evidence with each outcome, adjust the rubric and thresholds, then test again. Do not turn a model score into an automatic high-stakes decision or treat it as a substitute for human judgment.

Explore the Flow gallery for a sample rubric and use the pricing calculator to model different rejection rates.

Keep reading: ICP scoring and Decision Mode
Definitions
Calibrated Decision Mode

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