360 Secure SkillHub
360 安全技能中心

Ads Audience Targeting

核心功能是为Meta、谷歌、TikTok等多平台广告构建受众细分与定位计划,输出含受众标签、排除策略的可落地投放方案,同步提供行动步骤、风险监控等内容。典型场景:用户需投放广告、提升营收/ROAS、优化预算或分析投放表现时触发。输入需提供业务目标、范围、上下文等核心信息;输出为含意图摘要、行动方案、风险提示的执行就绪结果,支持下游技能对接。

danyangliu-sandwichlab
danyangliu-sandwichlab
热度 56.18
最近更新 2026-05-11 17:28:15
分类:营销依赖:纯提示词应用场景:市场分析 / 社交媒体 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add audience-segmentation-analyst
Metadata
name
audience-segmentation-analyst
description
Build audience segmentation and targeting plans for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, and DSP/programmatic campaigns.

Ads Audience Targeting

Purpose

Define ICP segments, audience labels, exclusions, and targeting hypotheses that are ready for ad setup.

When To Trigger

Use this skill when the user asks to:

  • run ads or execute advertising campaigns with clear operational next steps
  • grow revenue or profit, improve roas, reduce cpa, or optimize budget and bidding
  • analyze market, traffic, conversion funnel, and campaign performance signals
  • apply this specific capability: icp segmentation, audience labels, exclusion strategy

Typical trigger keywords:

  • ads, advertising, campaign, growth, strategy
  • revenue, profit, roi, roas, cpa
  • budget, bidding, traffic, conversion, funnel
  • meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

  • business_goal: primary objective (sales, leads, traffic, awareness, retention)
  • scope: campaign range, market, timeline, and platform scope
  • context: URL, account context, historical performance, or request text

Optional:

  • kpi_targets: target cpa, roas, revenue, roi, ltv, cvr
  • constraints: budget, policy, brand rules, timeline, resource limits
  • platform_preference: preferred channels and priority
  • baseline_metrics: existing benchmark metrics

Output Contract

Return an execution-ready result with:

  1. Intent Summary (goal, KPI, scope)
  2. Findings (key observations and assumptions)
  3. Action Plan (prioritized next steps)
  4. Risks and Guardrails (what can break and what to monitor)
  5. Handoff Payload (structured fields for downstream skills)

Workflow

  1. Normalize request and confirm objective.
  2. Validate available inputs and list missing critical data.
  3. Analyze according to this skill focus: icp segmentation, audience labels, exclusion strategy.
  4. Generate prioritized actions tied to KPI impact.
  5. Add platform-specific notes and constraints.
  6. Emit a compact handoff payload for execution.

Decision Rules

  • If KPI is missing, infer likely primary KPI from goal and mark assumption explicitly.
  • If data quality is low, return conservative recommendations and required follow-up checks.
  • If platform context is unclear, provide platform-agnostic baseline plus channel variants.
  • If policy or account risk appears high, require compliance or account checks before scale.
  • If urgency is high and uncertainty is high, prioritize reversible low-risk actions first.

Platform Notes

Primary platform scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, DSP/programmatic

Guidance:

  • Use platform-specific recommendations only when evidence supports them.
  • Keep naming explicit: Meta, Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP.
  • If request is cross-channel, provide channel order and budget split rationale.

Constraints And Guardrails

  • Do not fabricate data, performance outcomes, or policy approvals.
  • Separate facts from assumptions in every recommendation.
  • Keep recommendations measurable and tied to explicit KPIs.
  • Avoid irreversible changes without validation checkpoints.

Failure Handling And Escalation

  • If required inputs are missing, request concise follow-up fields before final recommendation.
  • If data sources conflict, report conflict and provide a safe default path.
  • If request implies unsupported account actions, escalate with an exact handoff checklist.
  • If compliance risk is detected, route to Ads Compliance Review before launch.

Examples

Example 1: Meta ecommerce optimization

Input:

  • Goal: sales growth with lower cpa
  • Platform: Meta (Facebook/Instagram)

Output focus:

  • top blockers
  • prioritized fixes
  • week-1 actions and expected KPI movement

Example 2: Google Ads lead generation

Input:

  • Goal: improve lead quality and stabilize cpl
  • Platform: Google Ads

Output focus:

  • search intent structure
  • budget and bidding adjustments
  • lead-routing handoff fields

Example 3: TikTok plus YouTube scale test

Input:

  • Goal: scale traffic while protecting roas
  • Platforms: TikTok Ads and YouTube Ads

Output focus:

  • test matrix
  • risk guardrails
  • monitoring and rollback triggers

Quality Checklist

  • All required sections are present
  • At least 3 registry keywords appear in When To Trigger
  • Input and output contracts are explicit and actionable
  • Workflow is step-based and execution ready
  • Platform references are concrete when applicable
  • At least 3 examples are included