The digital advertising landscape is changing fast, and keeping up with consumer behaviour is tougher than ever. This session dives into how Google’s AI tools can help you manage campaigns more effectively, from the initial setup right through to reporting. We’ll explore practical ways to use AI in your daily workflow to boost performance.
Why AI Is Now Essential
Consumer behaviour is unpredictable these days. With people interacting with over 130 mobile touchpoints daily, traditional methods just can’t keep pace. AI is the key to understanding and adapting to these rapid changes. The future belongs to those who can adapt, and that means being where your customers are, across search, scrolling, shopping, and streaming.
Key Takeaways
- AI is essential for keeping up with unpredictable consumer behaviour.
- Google’s AI tools can be integrated across the entire campaign lifecycle.
- AI helps move from manual complexity to intelligent automation and better performance.
The Evolving World of Search
Search behaviour is constantly shifting. More than 15% of daily searches are new, showing how limitless human curiosity is. We’ve moved from carefully chosen keywords to natural language, voice, and even camera searches. Now, we can have back-and-forth conversations with search engines.
Tools like AI Overviews have brought generative AI to over 1.5 billion users, making search more helpful and satisfying. Users are asking new, more complex questions. AI Mode takes this further, using advanced reasoning and multimodal capabilities to help with even the toughest questions, like comparing products or planning trips. Early users are asking much longer queries, indicating a new era for search and new business opportunities.
Ads are now appearing within AI Overviews on desktop and will expand to mobile. Ads in AI Mode responses are also being tested. To succeed in this AI-powered search era, adopting AI-powered campaigns is the only way forward. Manual campaign building and keyword selection are no longer sufficient.
The Modern Marketing Formula
To keep up with today’s consumers, a modern marketing formula is needed. It combines Google and YouTube’s massive scale and influence across search, scrolling, shopping, and streaming with the best AI-powered campaigns. This combination leads to a significantly better return on investment (ROI) for your business.
The Google Ads Campaign Process: An AI-Enhanced Journey
The Google Ads campaign process can be broken down into four stages:
- Objectives and Strategy Alignment: Ensuring your strategy and media plan align with clear Key Performance Indicators (KPIs).
- Campaign Setup: Building and configuring your campaigns.
- Campaign Optimization: Making real-time adjustments and finding new opportunities.
- Reporting and Insights: Understanding performance and gathering learnings.
Stage 1: Objectives and Strategy Alignment with AI
AI tools like Gemini and NotebookLM can help translate strategic intent into actionable Google Ads campaigns.
- NotebookLM: This AI-powered research assistant helps you understand documents deeply. You can upload strategy documents, media plans, and reports, then chat with them to get summaries, extract objectives, and identify target audience insights. It provides grounded information based on your sources, keeping your data private and secure.
- Gemini: Once you have your consolidated brief from NotebookLM, you can use Gemini to sense-check campaign structure, identify gaps, suggest optimizations, and generate ad copy ideas. It’s an advanced conversational AI for analysis and refinement.
When using generative AI tools, remember to:
- Check results carefully: Ensure accuracy and relevance.
- Use it as a tool, not a replacement: Supplement your own knowledge and research.
- Prompt effectively: Provide a persona, define the task, give context, and specify the format.
Stage 2: Campaign Setup with AI
AI in campaign setup is only as good as the data you provide. Robust data and measurement are like having a GPS and fuel for a road trip – they ensure you reach your destination.
- Performance Max (PMax): This AI-powered campaign type requires diverse assets (text, images, videos) and audience signals. AI then handles bidding, budget optimisation, and ad serving across Google channels. Advertisers who improve their PMax ad strength to ‘Excellent’ see 6% more conversions on average.
- AI Max for Search Campaigns: This is a one-click enhancement for search campaigns, making them ready for how people search today. It expands reach beyond keywords, delivers tailored creative messaging, and directs users to the most relevant landing pages. Campaigns using AI Max for Search can achieve 27% more conversions at a similar cost per acquisition (CPA) or return on ad spend (ROAS) compared to those relying solely on exact and phrase match keywords.
AI Max for Search has three key settings:
- Search Term Matching: Uses AI to expand reach beyond keywords.
- Automatically Created Assets: Delivers tailored ad copy at scale using your existing content.
- URL Optimisation: Replaces final URLs with the most relevant landing page for the user’s query.
Stage 3: Campaign Optimisation with AI
AI truly shines in optimisation, making real-time adjustments and surfacing hidden opportunities.
- Insights Page: This is a great starting point for optimisation. As your campaign gathers more data, the algorithms generate insights and trends.
- Recommendations: Use the recommendations and optimisation score to identify opportunities across budgets, bids, ads, extensions, keywords, and automated campaigns.
- Data-Driven Attribution: Uses AI to assign credit to ad touchpoints across Google media, adapting to changing consumer journeys and feeding directly into bidding solutions to drive ROI. It’s recommended to switch from last-click attribution.
- Performance Planner: Uses machine learning to forecast how changes to your campaigns (like budget or bid strategy adjustments) could impact future performance. It’s useful for strategy planning and budget allocation.
- Experiments: Allows you to measure the impact of changes in a controlled environment, performing A/B tests without affecting your live campaigns.
Actionable Takeaways
Strategy and Alignment
- Use NotebookLM to quickly summarise objectives, audience insights, and unique selling points (USPs) from your strategy documents.
- Utilise Gemini for sense-checking campaign structure, getting recommendations, and generating ad copy ideas.
- Proactively use Google Analytics 4 (GA4) predictive audiences and Google Trends to identify high-potential customer segments and validate keyword ideas.
Campaign Setup
- For Performance Max (PMax) campaigns, provide comprehensive inputs like clear goals, budgets, product feeds, digital assets, and audience signals.
- Adopt broad match with smart bidding to simplify account management, capture valuable queries, and increase conversions.
- Activate AI Max for Search campaigns to expand reach, deliver personalised ad copy, and direct users to helpful landing pages.
Optimisation and Insights
- Regularly review the Google Ads Insights page to monitor performance, diagnose issues, and find recommended optimisations.
- Actively apply recommendations from your optimisation score (e.g., adjusting budgets, setting up conversion tracking, refreshing lists).
- Use Performance Planner to forecast budget and performance scenarios up to 18 months ahead.
- Conduct campaign experiments to A/B test proposed changes in a controlled environment before widespread implementation.
AI is your co-pilot. It handles complexity, frees up your time for strategy, and surfaces opportunities. Your role is strategic: provide clear goals, high-quality assets, interpret insights, and refine strategy. Start small, learn fast, and stay curious.
