2025-02-05
Performance Max has proven to be a successful value aggregator for marketers and brands, even if it means giving up some of the control we once had, but there’s room to take it further. By fine-tuning targeting within search themes and focusing on segments that large language models (LLMs) highlight as relevant to their audience, brands can unlock even bigger wins. In fact, Jellyfish clients are already seeing clicks jump by 170% on these matched themes.
I've authored a whitepaper that shows how brands can use Share of Model™ platform to get better results when activating PMax campaigns.
Performance Max marks a major leap forward from traditional campaign types, offering immense power through automation while leaning heavily on Google’s signals to decide when and where ads appear. This automation can drive broader reach and incremental conversions, but it often sacrifices granular insights into customer behavior and emerging trends.
Our Share of Model™ platform is built on Google Cloud and powered by Gemini, giving marketers the insights they need to understand how LLMs perceive and recommend their brands. This platform analyzes how LLMs respond to brand, category, and product-related queries, providing valuable data on both human and AI audiences. This approach allows marketers to expand the impact of Performance Max campaigns by integrating search themes that both human audiences and LLMs recognize as highly relevant but that Google’s automated systems may overlook.
As LLMs continue to shape how customers find brands, it’s essential to stay ahead. By integrating AI-driven insights and PMax into your strategy, you’re not just reacting to changes, you’re setting yourself up for long-term success.
Share of Model™ Platform a single-view interface enables companies to analyze how different Large Language Models (LLMs) perceive their brands, products and services. Helping brands optimise for stronger AI-driven results.
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M&S was looking to expedite content delivery of product descriptions from 24 hours to same-day turnaround and realise savings in their annual production budget.
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The marketing landscape is evolving. Now, brands have a new, critical audience to target: Large Language Models (LLMs) like Google’s Gemini, OpenAI’s ChatGPT, and Meta’s Llama. These AI models are becoming key in guiding customers toward brands, influencing millions of decisions daily. How do you ensure LLMs recommend your brand? The solution lies in optimizing your paid search strategy with Broad Match and AI-driven insights from Jellyfish’s Share of Model™ platform.
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