prompts

Spends Drop Report

This prompt detects drastic spend changes in campaigns or ad groups, uncovering their timing, impact, and underlying causes using actual, validated Google Ads data. It guides marketers to stabilize or optimize spend, reduce waste, and react quickly to anomalies or opportunities in digital ad investments.

Table of contents
Prompt

Prompt

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Analyze Google Ads account data for any drastic changes in campaign spends during the selected period. If no campaigns show drastic spend changes, check for adgroups with sharp spend fluctuations inside top-performing campaigns. For each identified campaign or adgroup, provide the percentage change, highlight the specific dates and metrics affected, and explain the likely reasons for these changes using only validated data. Flag any gaps or unavailable data. Conclude with a concise summary of the root cause and next-step recommendations for spend stabilization or optimization.

Instructions:

  • Always validate all numbers directly from Google Ads data before presenting.

  • Never use sample, simulated, or hypothetical data.

  • Disclose and explain any metrics or data points unavailable or limited because of system constraints.

  • If data sets are large, process them in chunks and aggregate results for clarity and completeness.

  • For each insight or recommended action, provide supporting data points and clear logic.

  • Finish every report with a concise, prioritized summary and next steps to improve account performance.

Output Received and How It Is Helpful

This Claud API prompt output quickly surfaces campaigns and ad groups with sudden spend spikes or drops, diagnosing real causes and giving ready-to-action recommendations.

Main Findings

  • Sharp Spend Change Identified: Example—Campaign "Product X Brand USA" showed a 60% increase in spend.

  • Adgroup Analysis: Inside "Campaign 1", the ad group "Adgroup 1" saw spend jump X%, with no corresponding rise in conversions, indicating potential inefficiency or an unoptimized bid strategy.

  • Likely Causes: Spend spikes linked to:


    • Automated bid strategies reacting to sudden competitor activity
    • Budget reallocation during brand campaign A/B tests, driving planned growth
    • In the ROW campaign, inefficient budget pacing and lack of conversion growth flagged the need for deeper audit.

  • Other Noteworthy Trends: No drastic spend changes in most US funnel campaigns; ad group-level spikes primarily in markets with new product launches or experimental targeting.

  • Data Gaps: Device-level spend fluctuation data not available for this period. City-level breakdown inside ad groups unavailable due to API constraints.

How This Is Helpful

  • Marketers gain immediate awareness of where spending may be running hot, staying flat, or dropping in ways that require action. The root-cause logic let’s teams act faster by knowing if the driver is a test, a competitor response, or a system pacing issue versus a seasonal trend or reporting artifact.

  • Automated audit ensures only validated, real account data is used, boosting trust in changes and recommendations.

  • Transparent flagging of unavailable data strengthens reliability and sets clear expectations for deeper analysis when needed.
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