audience-advisor

Identify and optimize audience segments using ML feature importance and content affinities.

4|1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/lytics/agent-skills --skill audience-advisor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audience-advisor
Source: https://github.com/lytics/agent-skills/tree/main/audience-advisor
Command: npx skills add https://github.com/lytics/agent-skills --skill audience-advisor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams discover and optimize the right audience segments to achieve business goals, reducing guesswork in targeting and increasing conversion potential.

Core Features & Use Cases

  • Leverages ML feature importance, content affinities, and fieldinfo analyses to recommend segmentation strategies.
  • Supports two modes: create from a business goal and improve an existing segment, with guided steps for sizing and filtering.
  • Provides concrete recommendations for filters, audience sizing, and validation, plus pathways to hand off to audience-builder for execution.

Quick Start

Tell me your business goal or current segment, and I will propose an audience strategy and refinement steps.

Frequently Asked Questions about audience-advisor

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

FAQPage Schema
How do I use ML feature importance and content affinities for audience segmentation?

You can optimize audience segments by applying ML feature importance and content affinity data to refine filters and sizing. This approach analyzes user data to provide step-by-step guidance for improving existing segments or creating new ones from business goals.

What is the best way to create an audience segment from a specific business goal?

Creating an audience segment from a business goal requires translating objectives into recommended filters and sizing strategies. By leveraging ML feature importance and fieldinfo analyses, you can generate targeted segments designed to increase conversion potential.

How do I optimize existing audience segments to improve conversion potential?

To optimize existing audience segments, you analyze current segment definitions against ML feature importance and content affinities. This process identifies refinement opportunities, providing concrete recommendations for adjusting filters and audience sizing to drive better business outcomes.

Do I need a Lytics API token to analyze audience sizing and filtering strategies?

Yes, you need a LYTICS_API_TOKEN and LYTICS_API_URL configured in your environment to analyze audience sizing and filtering strategies. These credentials allow the system to access your data for ML feature importance and fieldinfo analyses.

Can I hand off recommended audience filters to another tool for execution?

Yes, you can hand off recommended audience filters to an audience-builder for execution. After generating the segmentation strategy and sizing steps, the process provides pathways to transfer these concrete filter recommendations directly to the builder tool.