Track Google and Meta ad spending against monthly budgets across accounts and campaigns. Project spending at month end, flag overuse or underuse, and calculate daily budget changes while accounting for weekday and weekend spending patterns.
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Tracks daily spend against monthly budget targets across all campaigns and accounts. Tells you exactly where you'll land at current pace, flags campaigns that are over or underspending, and calculates the daily budget adjustments needed to hit your target by month end. 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。
Tracks daily spend against monthly budget targets across all campaigns and accounts. Tells you exactly where you'll land at current pace, flags campaigns that are over or underspending, and calculates the daily budget adjustments needed to hit your target by month end.
Claude takes your current month-to-date spend, remaining days in the month, and monthly budget targets, then projects end-of-month spend at the current run rate. It accounts for weekday vs weekend spend patterns and flags any campaigns that need immediate budget adjustments to stay on track.
It's the 14th of the month. Your total monthly target is $120K across 6 campaigns. Current MTD spend is $52K. At the current daily rate, you'll end at $111K — $9K under target. But the underspend isn't evenly distributed: Campaign A is pacing 15% over target and will overshoot by $3,200, while Campaign D is pacing 40% under because it's limited by bid caps. Claude calculates that Campaign D needs its daily budget increased from $800 to $1,350 and bid caps loosened by 20% to catch up, while Campaign A should be pulled back from $2,100/day to $1,800/day.
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.
中文简介正在准备中。当前显示英语简介。
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。