Create consistent naming rules for Google and Meta campaigns, ad groups, ad sets, and ads. Get field definitions, allowed values, a team reference sheet, and mappings from existing names to support filtering and reporting.
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Builds a consistent, filterable naming convention across your Google and Meta accounts based on your campaign types, objectives, targeting, and reporting needs. Makes filtering, reporting, and cross-platform analysis actually work instead of guessing what "Campaign_v3_Final_NEW" means. Platform: Google and Meta.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Builds a consistent, filterable naming convention across your Google and Meta accounts based on your campaign types, objectives, targeting, and reporting needs. Makes filtering, reporting, and cross-platform analysis actually work instead of guessing what "Campaign_v3_Final_NEW" means.
Claude looks at your current account structure, campaign types, targeting approaches, and reporting requirements, then designs a naming taxonomy that encodes the key attributes you need to slice data by. It covers campaigns, ad sets/ad groups, and ads — all with a consistent format that works across platforms and with your reporting tools.
Your current naming is a mix of "Spring Sale - Lookalike" and "FB_Prospecting_Interest_test2_FINAL". Claude designs a convention: [Platform][Objective][Funnel Stage][Targeting Type][Audience/Keyword Theme][Geo][Date]. So "META_CONV_PROSP_LAL_1pct-Purchasers_US_2024Q2" tells you everything at a glance. It also generates a reference sheet, naming rules for new campaigns, and a script to bulk-rename existing campaigns to the new format.
This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:
https://connector.get-ryze.ai/mcpclaude mcp add ryze --transport http https://connector.get-ryze.ai/mcpSetup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
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Analyze A/B test results to assess whether observed differences are likely due to chance. Check test duration and sample size, compare audience segments, distinguish statistical findings from practical value, and generate hypotheses for follow-up tests.
中文简介正在准备中。当前显示英语简介。
Plan and analyze A/B tests for Google and Meta advertising. Estimate required traffic and duration, track results, and assess whether observed differences are statistically significant, meaning unlikely to be explained by chance alone.
中文简介正在准备中。当前显示英语简介。
Review Google and Meta campaign structures against goals, budgets, and conversion data. Identify excessive segmentation, overlapping targeting, and fragmented budgets, then get consolidation recommendations, an explained account structure, and a migration plan.
中文简介正在准备中。当前显示英语简介。
Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.
中文简介正在准备中。当前显示英语简介。
Review Google Ads extensions, the extra links and details shown with ads, across campaigns. Find missing coverage, weak performance, and outdated information, then get replacement copy based on successful ads and landing pages, plus rollout priorities.
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Analyze spending, revenue, and conversions across advertising channels to recommend budget shifts. Compare overall efficiency with the revenue gained from additional spending, identify saturation, and produce a gradual reallocation plan with monitoring priorities.
中文简介正在准备中。当前显示英语简介。