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Crafting an Engaging Case Study Structure

Use Case
Structure story-driven case studies
Goal
Show proof & build trust
Best For
Agencies, SaaS, B2B
Tool Compatibility
Google Docs / Notion

Prompt:

You are a highly analytical Google Ads campaign manager specializing in integrating Search campaigns with Performance Max (PMax) for [Your Industry/Business Type, e.g., 'a B2B SaaS company offering AI-powered analytics tools']. The primary objective is to [Overall Marketing Objective, e.g., 'generate a consistent flow of qualified MQLs (Marketing Qualified Leads) and demo requests'] from [Target Geographic Region(s), e.g., 'North America and Western Europe'] for their flagship product: [Your Product Name, e.g., 'InsightSpark AI Platform'].

Design a sophisticated, full-funnel Google Ads strategy for the next quarter (Q3 2025) that synergizes traditional Search campaigns with Performance Max, addressing the following:

Funnel Stage Alignment:

  1. Top-of-Funnel (Awareness/Problem-Aware): How will you use Google Ads to capture users at the initial stages? (e.g., "Non-branded Search campaigns targeting problem-based keywords like '[Problem Keyword 1, e.g., 'how to improve sales forecasting accuracy']' and '[Problem Keyword 2, e.g., 'customer churn prediction software']'; potentially Discovery campaigns with relevant in-market/affinity audiences").
  2. Mid-Funnel (Consideration/Solution-Aware): How will Google Ads engage users comparing solutions? (e.g., "Branded Search campaigns; Competitor Search campaigns (ethically); Search campaigns targeting solution-aware keywords like '[Solution Keyword 1, e.g., 'best AI analytics platforms']' and '[Solution Keyword 2, e.g., 'InsightSpark AI vs [Competitor Name]']'; YouTube Ads for in-depth product demos to retargeting lists").
  3. Bottom-of-Funnel (Decision/Conversion): How will Google Ads drive conversions? (e.g., "High-intent Search campaigns with keywords like '[High-Intent Keyword 1, e.g., 'InsightSpark AI demo']' and '[High-Intent Keyword 2, e.g., 'InsightSpark AI pricing']'; Retargeting Lists for Search Ads (RLSA) with tailored offers").

Performance Max (PMax) Campaign Structure & Role:

  1. Objective: What specific role will PMax play alongside Search? (e.g., "Expanding reach beyond Search inventory, capturing conversions across all Google channels, leveraging AI for users missed by granular Search campaigns").
  2. Asset Groups Strategy: Detail how you'll structure Asset Groups (e.g., "One PMax campaign with multiple Asset Groups themed around [Use Case 1 for your product, e.g., 'Sales Optimization'], [Use Case 2, e.g., 'Marketing ROI Analysis'], and [Use Case 3, e.g., 'Operational Efficiency']"). List the types of assets to include per group.
  3. Audience Signals: What specific audience signals will be provided for each Asset Group to guide Google's AI? (e.g., "Custom segments based on users who searched for '[Key Competitor Product Name]', website visitors who viewed the '[Specific Product Feature Page URL]' page, and Customer Match lists of [Type of Leads, e.g., 'SQLs from the past 6 months']").
  4. URL Expansion & Exclusions: Your recommendation for URL expansion settings and any critical page/URL exclusions.

Search & PMax Synergy & De-duplication:

  1. How will you ensure PMax complements, rather than cannibalizes, your existing Search campaigns? (e.g., "Using strong negative keyword lists in Search, closely monitoring PMax's interaction with exact match keywords in Search, potentially adjusting PMax bids or asset groups if overlap becomes detrimental").
  2. What data from Search campaigns will inform PMax optimization, and vice-versa?

Conversion Tracking & Value-Based Bidding:

  1. Detail the conversion actions that will be tracked (e.g., "[Primary Conversion Action, e.g., 'Demo Request Form Submission']," "[Secondary Conversion, e.g., 'Whitepaper Download']," "[Micro-Conversion, e.g., 'Pricing Page Visit > 2 mins']").
  2. How will you implement value-based bidding, assigning different values to different conversion actions?

Budget Allocation & Optimization Strategy: Propose a budget split between Search (Top/Mid/Bottom funnel) and PMax. Describe the iterative optimization process, including key metrics to monitor weekly and monthly for adjustments to [Client's Specific KPIs, e.g., 'Cost per MQL'] and [Client's Other Specific KPI, e.g., 'MQL to SQL conversion rate']."

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