51-audience-research-global

Researches and defines paid ad audiences with platform targeting settings, tiering, and test hypotheses.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Launching paid campaigns without researched audiences burns budget on wrong targeting. This Skill produces a complete audience definition before any ad set is built, covering who to target, on which platform, and how to structure cold, warm, and hot tiers.

Core Features & Use Cases

  • Core Audience Profile: Builds demographic, psychographic, and behavioral profiles from CRM data, analytics, and customer insight outputs, including B2B fields like company size and seniority.
  • Paste-Ready Platform Targeting: Generates ready-to-use targeting blocks for Meta, Google, TikTok, YouTube, LinkedIn, and Pinterest, with interest themes, exclusions, and lookalike seed specifications.
  • Tiering and Test Hypotheses: Defines cold/warm/hot audience tiers with cross-exclusion rules and produces 3-5 ranked targeting hypotheses for A/B testing.
  • Use Case: Before launching a Meta campaign for a mid-tier e-commerce product in the US and Brazil, use this Skill to output the audience profile, interest stacks per market, lookalike seeds from past purchasers, and a ranked list of targeting tests.

Quick Start

Ask the AI to research and define the target audience for your product's upcoming Meta and TikTok campaigns, including cold, warm, and hot tiers and lookalike seeds.

Frequently Asked Questions about 51-audience-research-global

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

FAQPage Schema
How do I research a target audience for Meta ads?

Start from real data such as CRM records, analytics, and order history to build a core profile of age, gender, markets, and income band. Then define 10-15 related interests grouped into 2-3 themes, add exclusions for past purchasers, and compare a broad audience against the interest stack as a test.

How to build lookalike audiences from a customer list?

Use a seed of at least 100 past purchasers for a 1-3% lookalike on Meta, or 300+ contacts from a consented email or CRM list for Meta and Google Customer Match. Seed quality beats size: purchasers outperform leads, and leads outperform video viewers.

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

Cold audiences do not know the brand and are reached via interests, broad targeting, or lookalikes. Warm audiences engaged with content or clicked links, while hot audiences visited landing pages or started checkout. Each tier needs separate campaigns with different messages and cross-exclusions.

Should I use broad targeting or interest targeting on Meta?

Start broad with strong creative, since modern delivery algorithms optimize well on wide pools. Narrow to interest stacks only when segment data proves it, and keep one clear interest theme per ad set so results stay interpretable.

When should I not run LinkedIn ads for B2B targeting?

Avoid LinkedIn when the budget cannot support CPMs of $30-100 or when target CPA economics do not close. Validate the numbers with a reverse KPI calculation before committing, since LinkedIn works only when deal sizes justify the premium cost.

Why does my ad set audience saturate too quickly?

Saturation happens when a tight interest stack is too small for the daily budget, especially in Tier 1 markets with $13-20 CPMs. Size cold audiences to sustain at least 7 days of spend without frequency passing 2.5.