Google Ads Unveils a New Era for Search Advertising with AI Max
In May 2025, Google announced the launch of AI Max, a new suite of advertising features built into Search campaigns. Rolled out in global beta, this update leverages artificial intelligence to improve ad performance, reach, and relevance.
AI Max highlights several features already available in Search, including:
- Query expansion through an intelligent combination of broad match keywords and keywordless matching.
- Dynamic ad customization based on search intent, using existing landing pages and ad assets.
- Automatic selection of the most relevant landing page based on the query.
New features are also included, such as:
- Interest-based location targeting at the ad group level.
- Enhanced search term and asset reporting, with new metrics like cost and conversions per asset.
Google Ads Rolls Out Detailed Channel Reporting for Performance Max Campaigns
Google continues to evolve Performance Max campaigns, now used by more than one million advertisers, with a focus on improving transparency and optimization. Among the upcoming features announced:
- Channel-level reporting: You will soon be able to view campaign performance across each channel, including YouTube, Search, Gmail, and Maps, through a new results visualization page and a downloadable detailed table.
- Search term reports: Data as comprehensive as in traditional Search campaigns, ideal for identifying the most profitable queries or excluding the ones that are not.
- Enhanced asset reports: Impressions, clicks, costs, conversion value. These new insights will help you identify your best-performing assets and maximize campaign quality.
- Channel-specific recommendations: Detect potential friction points on specific channels, such as no physical location for Maps, or low-quality landing pages for Search.
Google has not yet confirmed a beta launch date for these features. Keep an eye out so you can take full advantage of tools that provide a complete view and support a truly omnichannel optimization approach.
OpenAI Adds Shopping to ChatGPT
OpenAI introduces a new Shopping feature for ChatGPT that surfaces your products when a user searches on the platform.
This organic experience draws on conversation history and the algorithm's accumulated knowledge to deliver personalized recommendations. For example, if a previous conversation shows a preference for black, the system will prioritize displaying clothing in that color. ChatGPT also weighs the pros and cons of each product and factors in user popularity to sharpen the relevance of its suggestions.
Stay tuned for upcoming OpenAI announcements to discover how to optimize your presence on the platform and get the most out of this new feature.
Chrome Abandons Plans to End Third-Party Cookies
Google officially announced the abandonment of its Privacy Sandbox project, which had aimed to phase out third-party cookies in Chrome. Originally planned for 2024, the deprecation had already been delayed multiple times. Now, the tech giant is stepping back entirely, citing persistent disagreements within the ad industry, ongoing regulatory uncertainty, and the limitations of the proposed alternatives.
Chrome will continue to give users the choice to block or allow third-party cookies in their privacy settings.
What does this mean for advertisers?
This announcement allows advertisers to keep relying on third-party cookies for ad targeting, performance measurement, and retargeting. But this reprieve should not slow the transition toward more sustainable strategies. Privacy protection remains a priority, and first-party data practices are here to stay.
It also becomes strategically important to reduce your dependence on big tech platforms whose rules and policies shift frequently, and to build more resilient marketing ecosystems. Exploring alternative solutions like Kuma, which prioritize first-party data and controlled activation, can help you take back control of your audiences and your performance.
Have You Considered Pinterest Shopping Ads?
Often overlooked in advertising strategies, Pinterest stands out for the quality of its audience: users arrive with a clear intent to explore, get inspired, and above all, to buy.
Unlike other platforms where attention can be fleeting, Pinterest captures a more engaged and intentional mindset, making it a particularly powerful channel for Shopping campaigns.
Ad performance on Pinterest: The numbers
Ad costs on Pinterest are often more competitive than on Meta or Google, particularly in verticals like fashion, home decor, and household goods. Here are some benchmark figures:
- Approximately $0.10 per click
- Average $2 per conversion
- CPM around $1.50
These metrics come from advertisers spending an average of $500 per month on the platform, showing that you do not need a large budget to start getting results on Pinterest.
How to launch your Pinterest Shopping ads
To get started, begin by connecting your product catalog to Pinterest through the catalog manager. Then optimize your titles, images, and descriptions following the best practices recommended by the platform.
Pinterest offers a range of targeting options to reach the right users:
- By interest
- By keyword
- By demographic
- By custom audience, such as website visitors or existing customers
- Or through algorithm-assisted automatic targeting
You can set a daily or lifetime budget, then choose between automatic or manual bidding depending on your goals, whether clicks, conversions, or impressions. The interface is straightforward and easy to navigate, making it ideal for quickly testing different approaches.
With a well-configured catalog, sharp targeting, and polished visuals, Pinterest can become a highly profitable channel for your online sales.
Need help activating or optimizing your Pinterest strategy? Contact our team today!