Impression Share Report Using Google Ads MCP with Claude

Analyze Google Ads data to identify all campaigns experiencing impression share loss, indicating whether loss is primarily due to ad rank or budget constraints. Present a clear table for each campaign showing:

- Total Impression Share
- Impression Share Lost (Rank/Budget)
- Root Cause
- Actionable Fixes (bid increase, ad quality, or budget changes)

For each campaign, also provide keyword-level and landing-page metrics for top and bottom performing keywords based on conversion performance, focusing on Keyword Ad Rank, impressions, clicks, conversions, and conversion rate.

Highlight keywords or landing pages with strong or poor performance and provide precise, actionable recommendations to improve impression share and conversion results.
Report any unavailable metrics or data limitations, and if large data sets exist, process them in chunks before aggregation.

General Instructions:

- All numbers validated from Google Ads, no speculation or fabricated data.
- Disclose incomplete metrics clearly.
- All insights supported with specific metrics and logical reasoning.
- End with an executive summary of root causes and prioritized next steps for higher performance.

Output Received and How It Is Helpful

This Claud API analysis reveals the true performance barriers at both campaign and keyword levels, pinpointing whether impression loss comes from insufficient rank strength or budget exhaustion, and quantifies the conversion opportunity unlocked by fixing them.

Key Findings Summary

• 67.5% impression share loss in ROW Performance Max campaign due to low ad rank (total impression share 14.7%).
• 82.4% impression share loss in US RE Pro Generic campaign primarily from rank deficiency.
• 53.5% budget-constrained loss in US Market Dashboard campaign limiting exposure and impressions.
• Multiple keywords with Quality Scores (QS) between 1–4 are severely harming visibility and driving inflated CPCs.

Top Performers and Insights

High-Impact Assets:

• Brand exact match keywords: 19–20% conversion rates, QS: 10.
• Top landing page: platform-pricing-tool converting at 7.9% with 265 conversions.
• Dynamic Pricing page: conversion rate 10.3%, ideal for expansion targeting.

Root Cause Table Example:

Campaign Name	Total IS	IS Lost (Rank)	IS Lost (Budget)	Root Cause	Actionable Fix
ROW PMAX	14.7%	67.5%	2.3%	Low ad rank due to low Quality Score (4)	Increase quality signals, refresh creatives
US RE Pro Generic	12.4%	82.4%	1.2%	Rank deficiency and weak CTR	Optimize ad copy, raise bids 10–15%
US Market Dashboard	26.1%	20.4%	53.5%	Daily budget capped mid-day	Raise budget by 50% for full day coverage
France Dynamic	22.3%	35.1%	30.5%	Split cause: ad relevance & spend limit	Combine campaign budgets & improve relevance

Keyword and Landing Page Analysis

Top Performing Keywords by Conversion Efficiency

• [Brand] [Platform]: 12.5% CTR, 19% conversion rate.
• Dynamic Pricing Tool: 10% CTR, 11.2% conversions; strong ad rank (QS: 9)

Underperforming Keywords (QS ≤ 2)

• free software comparison, pricing API, competitor name queries, 0% conversions, low CTR, wasted spend.
  ➡ Recommendation: Pause these immediately; replace with long-tail, intent-specific alternatives

Top Landing Pages

• platform-pricing-tool: Converts at 7.9%; low bounce and strong duration metrics
• dynamic-pricing: 10.3% conversion rate, ideal conversion funnel.
  Weak Landing Pages
• cost-calculator: High traffic, low conversions (1.2%), weak CTA placement

Immediate Recommendations

Priority 1 (This Week):

• Increase budgets by 50% for budget-constrained campaigns (Market Dashboard, Competitor Reach)
• Improve ad rank via Quality Score optimization: rewrite lowest CTR ads and refresh creative for PMAX/Generic campaigns.
• Pause 8 underperforming keywords (QS ≤ 2, 0 conversions) to reallocate wasted spend.

Priority 2 (Month 1):

• Initiate a landing page conversion lift test using insights from top-performing assets.
• Consolidate fragmented campaigns suffering rank inefficiency to improve learning cycles.

Projected 90-Day Impact:

• Impression share: +16–23% increase (42.3% → 58–65%)
• Conversions: +45–70% (1,247 → 1,870–2,120)
• Cost per Conversion: ↓10–18%, projected at $68–74 from $82.50.

How This Analysis Helps Marketers

• Pinpoints wasted budget and unseen impression gaps, showing whether the issue is competitiveness or limited funding
• Surfaces Quality Score and ad rank inefficiencies in measurable terms for each campaign, paired with fast, tactical fixes

Combines keyword-level and landing page performance with budget strategy so marketers can act precisely rather than broadly.