Skip to main content

Introducing Jellyfish’s Share of Model™ Integration with Google Ads Performance Max (PMax) (Beta)

Unlock the Power of AI-Driven Brand Perception in Paid Media

Written by Ishita Mishra
Updated over a month ago

Share of Model™ insights now directly linked to Google Ads Performance Max (PMax) campaigns. The Activation feature developed in collaboration with Google’s R&D teams, this solution represents the first-ever opportunity to harness brand perception data from large language models (LLMs) to optimize paid media performance at scale.

What is Performance Max (PMax)?

PMax is Google’s most automated and intelligent campaign type. It allows brands to reach audiences seamlessly across Google’s ecosystem—Search, YouTube, Display, Discover, and Gmail—with just one campaign. Google’s AI handles bidding, targeting, and ad creation, leaving advertisers to focus on providing high-quality creative assets.

Core Components of PMax

  • Asset Groups: The creative foundation, comprising images, headlines, videos, logos, and more. Each group reflects a product, audience, or creative theme.

  • Search Themes: Intent-driven signals that help Google match ads to users with high purchase intent. These act like “intent prompts” rather than traditional keywords.

Getting Started

To set this up, you’ll need:

  • Existing analysis on Share of Model platform.

  • 'Org Owner' or 'Org Editor' access permission on Share of Model Platform.

  • Google Ads accounts with 'standard access' added to your workspace.

  • Active PMax campaigns and available asset groups.

Turning Brand Perception into Paid Performance

How It Works:

Our approach bridges the gap between how people perceive your brand and how your Google Ads campaigns communicate that message:

  1. Perception Insight: We detect the brand traits that set you apart from competitors through AI analysis.

  2. Google Ads Audit: We review your existing PMax campaigns for semantic consistency and coverage.

  3. Messaging Gaps: We identify where your current messaging misses opportunities to connect with key user intents.

  4. Search Themes Injection: Using Keyword Planner and advanced AI filters, we add the most impactful Search Themes directly into your campaigns.

  5. Brand Policy: We follow through with the brand policy at account level when making the recommendations for the search themes.

What Makes This Most Effective?

Our algorithm goes beyond static keyword lists:

  • Semantic Concepts: Generates Search Themes that reflect live user intent, not generic keywords.

  • AI Validation: Uses embedding technology for deduplication and relevance filtering.

  • Strategic Value: Every theme is chosen for both demand and its potential to enhance campaign performance.

Added Value

  • Enhanced Signals: PMax campaigns benefit from clearer intent alignment and more resonant queries.

  • Creative Alignment: Your campaigns deliver a cohesive experience from ad to landing page.

  • Increased Visibility & Traffic: Ads speak the language of your customers, improving click-through rates and conversions.

  • Faster Campaign Improvement: With better targeting and richer data, campaigns learn and optimize faster.

  • And finally, effectively push the recommendations directly into your google ads campaigns or export for later.

🚀 New : Intent-Based Optimization (Promotion Type Selector)

To ensure your Performance Max campaigns remain aligned with your specific business goals, we have introduced Three-Axis Intent Control. This feature prevents "strategy drift" by allowing you to set clear guardrails at the Asset Group level.

You can now steer the algorithm using three distinct Promotion Types:

  1. Product (Transactional Intent): * Focus: Direct sales and high-conversion actions.

    • Strategy: Locks the model onto transactional keywords, ensuring the budget is spent on users ready to purchase rather than those seeking general information.

  2. Service (Solution Intent): * Focus: Lead generation, consultations, and professional guidance.

    • Strategy: Prioritizes high-touch intent for users seeking expertise and professional solutions.

  3. Brand (Aspirational Intent): * Focus: Authority, trust, and market awareness.

    • Strategy: Captures broad, top-of-funnel keywords to build a pipeline of future customers without forcing a hard sell prematurely.

The Benefit: Align your bidding strategy with your intent—spend aggressively on "Product" for immediate ROI, while utilizing "Brand" to capture high-volume, cost-effective awareness.

🔥 Now: Enhanced Control & Visibility Features

We have upgraded the PMax Optimizer to provide deeper transparency and more precise "steering" of the Google Ads algorithm.

1. Search Themes Pivot Tables

Move away from siloed management with a holistic view of your keyword strategy.

  • Dual Perspective: Toggle between a Search Themes view (to see which groups a theme impacts) or an Asset Groups view (to see thematic coverage per group).

  • Smart Harmonization: Instantly identify if the same theme is being used across too many groups to avoid internal competition.

  • Bulk Management: Efficiently Keep, Add, or Remove themes across your entire inventory from a single interface.

  • Inventory Tracking: Monitor your Search Theme volume (e.g., 3/50) in real-time to stay within Google’s limits while maintaining maximum relevance.

2. Native Google Ads Data Integration

Assess campaign health without switching platforms. We now pull critical performance indicators directly into the Share of Model™ interface:

  • Ad Strength Visualization: View real-time scores (Poor, Average, Good) to immediately identify which assets require creative refreshment.

  • Live Status Flags: Manage "Enabled" or "Paused" statuses and campaign names within the optimization workflow for rapid, contextual decision-making.

3. Relevance Scores & Predictive Metrics

Every Search Theme suggestion now includes algorithmic justification to help you make informed decisions:

  • Relevancy Score: A visual indicator (Strong, Average, Weak) based on historical performance and Asset Group semantics.

  • Logic Summaries: Each recommendation includes a "Why" block explaining the optimization logic (e.g., why a theme was selected for product benefits vs. generic services).

  • Incremental Learning: The system prioritizes thematic patterns that have historically driven the highest performance for your specific account.

Did this answer your question?