51-audience-research

Builds ad audience profiles with interest targeting, cold/warm/hot tiers, and lookalike seeds.

569|224|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 51-audience-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 51-audience-research
Source: https://github.com/minhnv0807/ai-business-skills/tree/main/skills/vi/51-audience-research
Command: npx skills add https://github.com/minhnv0807/ai-business-skills --skill 51-audience-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Running ads without structured audience research wastes budget on wrong targeting. This Skill produces a complete audience profile before launching campaigns, covering demographics, psychographics, per-channel targeting settings, and testable targeting hypotheses.

Core Features & Use Cases

  • Core Audience Profile: Consolidates CRM data, page insights, and customer research into demographics, income, occupation, and device tables.
  • Per-Channel Targeting Settings: Generates ready-to-paste targeting blocks for Meta, TikTok, Google, Zalo, and YouTube Ads, including interests, behaviors, and exclusions.
  • Cold/Warm/Hot Segmentation & Lookalike Seeds: Defines audience tiers with exclusion rules and lookalike seed tables with minimum sizes and LAL percentages.
  • Use Case: Before launching a Meta lead-gen campaign for a new product, use this Skill to map 10-15 interest groups, define cold/warm/hot tiers, and produce 3-5 targeting hypotheses for A/B testing.

Quick Start

Ask the AI to research the target audience for your product on Meta Ads, including interest targeting, cold/warm/hot tiers, and lookalike seed recommendations.

Frequently Asked Questions about 51-audience-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research a target audience before running Meta Ads?

Start by consolidating existing customer data from CRM, page insights, and orders into a core profile covering age, gender, location, income, and device. Then map 10-15 related interests into separate groups for testing and define exclusions for existing customers and submitted leads.

What is the difference between cold, warm, and hot audiences in ads?

Cold audiences have never interacted with the brand and are reached via interests, behaviors, broad targeting, or lookalikes. Warm audiences engaged with content such as watching over 50% of a video, while hot audiences visited the landing page, added to cart, or messaged without converting.

What minimum audience size should I use for cold targeting?

Cold audiences should stay between 100K and 500K people. Audiences that are too small drive CPM up and saturate quickly, while overly broad audiences without strong creative dilute delivery and waste budget.

How large does a lookalike seed audience need to be?

A lookalike seed needs at least 100 past buyers, 500 quality leads, 1000 video viewers at 75%, or 300 email contacts. Higher-quality seeds like purchasers produce better lookalikes than viewer-based seeds, typically at 1-3% LAL.

When should I not use detailed interest targeting?

Avoid stacking many interests into one ad set, since mixed interests make it impossible to identify which group performs. Also avoid narrow targeting before testing broad audiences, because current ad algorithms often optimize better with broad targeting plus strong creative.