> For the complete documentation index, see [llms.txt](https://docs.hockeystack.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hockeystack.com/account-intelligence/account-intelligence-faq.md).

# Account Intelligence FAQ

## Account Scoring

> **Q:** Can HockeyStack score all accounts or just some? What are some best approaches?
>
> **A:** We score accounts that are in a **View** where **Configuration → Rescore all accounts** is toggled **on** and the **Schedule** is **not Off**. Best practice is to create separate Views for distinct product lines/segments and enable scoring per View. Avoid giant, catch‑all Views; use filters first (ICP, geos, lifecycle). Limit each View to be under 5,000 companies for best performance.

> **Q:** What signals/fields can scoring reference?
>
> **A:** Any **Account/Contact/Lead/Opportunity** fields synced from SFDC/HubSpot (standard + custom), plus first-party web activity, AI research outputs, and third‑party intent (if connected).&#x20;

## Persona Creation

> **Q:** Best practices for building personas and prompt detail? What to avoid?
>
> **A:** Treat the prompt like instructions to a junior sourcer reviewing a LinkedIn profile:
>
> * Specify **department**, **seniority**, **keywords**, **exclusions**, and **context** (use case, product fit).
> * Give **positive & negative examples** ("Good fit if… / Not a fit if…").
> * Ask for a **binary decision + rationale** (short).
> * Limit scraping scope to **recent roles** to avoid legacy titles.


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