audience-segmentation-analyst_skill

Overview

This skill builds audience segmentation and targeting plans ready for ad setup across Meta, Google Ads, TikTok Ads, YouTube Ads, and DSP/programmatic channels. It converts business goals and account context into an execution-ready audience strategy with clear labels, exclusions, and prioritized tests. The output includes an intent summary, findings, action plan, risks, and a structured handoff payload for campaign build.

How this skill works

I ingest the business_goal, scope, and context (URL, account notes, historical performance) and validate missing critical inputs. I analyze ICP segments, define audience labels, propose exclusion strategies, and produce prioritized actions tied to KPI impact and platform-specific notes. The result separates facts from assumptions, flags data risks, and emits a compact payload formatted for downstream ad setup and measurement.

When to use it

• When preparing ads, advertising, or campaign builds with clear operational next steps
• When you need to grow revenue, improve ROAS, reduce CPA, or optimize budget and bidding
• When analyzing traffic, conversion funnel, or campaign performance signals for targeting changes
• When requesting ICP segmentation, audience labels, and exclusion strategy
• When setting up cross-channel plans across Meta, Google Ads, TikTok Ads, YouTube Ads, or DSP

Best practices

• Always supply business_goal, scope, and context; if KPI targets are missing, I will infer and flag assumptions
• Provide baseline_metrics where available; low data quality leads to conservative recommendations
• Use clear naming conventions for audiences and exclusions to simplify reporting and iteration
• Prioritize reversible low-risk tests first when urgency or uncertainty is high
• Tie each audience action to an explicit KPI and monitoring window (e.g., 7–14 days)

Example use cases

• Meta ecommerce optimization: reduce CPA by proposing audience pruning, lookalike thresholds, and week-1 tests
• Google Ads lead gen: restructure intent segments, negative keyword/exclusion audiences, and bidding adjustments
• TikTok + YouTube scale test: cross-channel test matrix with budget split, guardrails, and rollback triggers
• DSP programmatic targeting: contextual + audience combined plan with frequency caps and exclusion lists
• Retention campaigns: audience labels for high-LTV customers and exclusion rules to avoid overlap