Audience Targeting
Find the right audiences faster. Use AI to discover interests and behaviors, validate and size audiences, and refine targeting to improve ROI.
What is Audience Targeting?
Audience targeting is the practice of defining who sees your ads by selecting the demographics, interests, behaviors, and locations that best match your ideal customers. With the Meta Ads MCP connected, you can ask AI to research, filter, and validate audiences—then estimate sizes before you spend a dollar.
AI-Powered (Minutes)
- • Search interests and behaviors by keyword
- • Get related interest suggestions
- • Filter by regions, age ranges, devices
- • Estimate audience size before launch
- • Export a clean targeting spec
Manual (Hours)
- • Trial-and-error research in Ads Manager
- • Copy/paste IDs into spreadsheets
- • Repeated back-and-forth validation
- • Guesswork on expected reach
What You Can Do
Discover Audiences
- • Search interests and behaviors (by keyword)
- • Get interest suggestions from seed interests
- • Explore demographics and geo locations
Validate & Size
- • Estimate audience size by country/region
- • Sanity-check reach for targeting combinations
- • Ensure your segments are neither too broad nor too narrow
Apply & Iterate
- • Generate a clean targeting spec for ad sets
- • Save and reuse interest ID lists
- • Iterate quickly as performance data comes in
Example Prompts
1. Discover relevant interests and behaviors
"Find interests and behaviors for people researching outdoor kitchens. Suggest 15–25 strong options and include Meta interest IDs."
2. Size an audience
"Estimate audience size for ages 25–55 in Texas interested in grilling, outdoor kitchens, and patio design. Show US-only and Texas-only estimates."
3. Build a targeting spec
"Create a Meta targeting spec combining these interests (IDs included) with geo locations US + CA, age 30–60, and device = mobile. Return valid JSON for an ad set."