Once you've created one or more ICPIntel models, you can set a primary model to be used by other SalesIntel services. Only admins/ops admins can set or change primary models. To set a primary model, go to Discovery > ICPIntel and select the "Change" button next the primary model indicator:

Then select your desired model from the modal that opens. To clear the selected model, just choose "Clear selection".

Once you set or change a model, this becomes the primary model for all users in your account. Where fit scores are shown, they will be calculated based on this model. The exception is when you are in the search interface, like in the below image; in this case, if you choose a model based on the ICP Model filter, the scores shown will always match the selected model, even if it is not the primary.

In this case, all models are available to see best fit accounts, not just primary models

Using Primary Models

Primary models surface your ICP Fit Score in a couple of significant areas of the application:

RepIntel

Fit score is added to RepIntel as another signal to help confirm the fit and priority of an account. Fit score is used as the falback sort for accounts with no signals. Reps can also sort by score. The score is derived directly from applying your primary model.

Enrichment

Fit score can be used in any enrichment job, including Salesforce, HubSpot, and list enrichment, and one-time, scheduled, or triggered on creation. Fit scores can be added to accounts, to help prioritize in combination with signals, but also added to lead records, for prioritization and routing. To add the fit score, select a primary model and then map the ICP Fit Score field that you see in field mappings in your enrichment set up. Once mapped, the score based on your primary model will be added to all jobs going forward. If you change your primary model, a new score will be calculated next time enrichment runs on that record.