Turn a plain-language description into filter conditions you review, edit, and save
Describe who you want to reach, and get a starting set of filter conditions you can review and edit.
A dynamic audience is defined by filter conditions: location, dates, email engagement, opt-in status, and more. Building those by hand is precise but slow. The AI audience builder lets you type what you want in plain language, for example “contacts in California created this year who opened a campaign”, and it drafts the matching filter conditions for you.
It lives at the top of the dynamic-audience filter builder.
It fills the conditions it can infer from your words, and leaves the record-specific ones to you.
The assistant drafts conditions it can infer directly: company location (city, state, country), created and last-contacted date ranges, email engagement (opened, clicked, replied, never contacted, minimum open or click rate), primary-contact only, opt-in status, and billing cohorts such as having an open invoice or an outstanding quote.
It leaves conditions that point at specific records for you to choose: tags, individual companies, assigned owners, per-campaign behavior, and custom fields. When you describe one of those, or something the builder does not support (for example employee count or industry), the assistant tells you so you can add or adjust it yourself. Anything it cannot map is skipped rather than guessed.