New Capability: In response to strong positive customer feedback and numerous requests, we're excited to announce a new feature connecting the Grounding Queries and Pages views within the AI Performance report.
Performance is a critical factor in user engagement, where even minor delays in loading can deter users. A clean and simple user interface also contributes significantly to user retention.
Data on legal services usually comes from the consumer index. But the Bureau of Labor Statistics, which has struggled with budget cuts and staff attrition, hasn't been able to collect enough data in recent years to publish the legal services index consistently. It has continued to provide the data to the Bureau of Economic Analysis, but the monthly readings have been volatile.
AI Mode can use your previous conversations, along with places you've searched for or tapped on in Search and Maps to deliver more relevant options, personalized to you. So if AI Mode infers that you have a preference for Italian food, plant-based meals, and places that have outdoor seating, you may get results suggesting options like these.
The component also provides features for columns (sort, hide, resize), rows (select), cells (keyboard navigation, pointer interactions, custom rendering). Feel free to ask and look at the code if you're interested in knowing more. The <HighTable> component is developed at hyparam/hightable. It was created by Kenny Daniel for Hyperparam, and I've had the chance to contribute to its development for one year now.
Completely free and open source (view our licence here). data_object Supports export for integration with frameworks including React, Vue, and Angular. Fully configurable, featuring custom triggers and adjustable text to support multiple language locales. 60 languages supported by default (view the languages here). Includes multiple views, including Map, Line, Chart, Days, Months, and Color Ranges. export_notes Export data to multiple file formats (view the supported types here), with system clipboard setting support.
Good morning, programs! Today I'm sharing yet another example of Chrome's on-device AI features, this time to demonstrate a "Bluesky Sentiment Dashboard". In other words, a tool that lets you enter terms and then get a report on the average sentiment for posts using that word. I actually did this before (and yes, I forgot until about a minute ago) last year using Transformers.js: Building a Bluesky AI Sentiment Analysis Dashboard.
There's no doubt that we have all enjoyed the convenience of adding something to our basket on Amazon and having it arrive on our doorstep less than 24 hours later. But as shopping has moved online, something has been lost from the experience. The online experience is scroll, click and add to cart. But as shoppers, we want so much more. We want to explore other possibilities without feeling overwhelmed. We want to try stuff on, not just read reviews. We want to browse, not just buy.
Google AdSense seems to be rolling out new metrics for the AdSense reports in the console. These include Browser breakdown, Hosting App breakdown and Operating system breakdown metrics and data. Browser breakdown: You can use this breakdown to understand the browser from which your ads were viewed. It categorizes browsers such as Google Chrome, Safari, Firefox, and "Other" browsers. Hosting App breakdown: Use this breakdown to understand the origins of your page traffic. Whether from a webview or a Non-webview source.
The feature was discovered recently by Christopher Penn, vice president of marketing technology at Shift Communications. "Over the weekend I was playing around with the different ad platforms for social networks and discovered something interesting: my Twitter account was fully enabled for Twitter analytics. So was the Shift Communications account and half a dozen other accounts that I help to manage," he wrote in a blog post.
The more attributes you add to your metrics, the more complex and valuable questions you can answer. Every additional attribute provides a new dimension for analysis and troubleshooting. For instance, adding an infrastructure attribute, such as region can help you determine if a performance issue is isolated to a specific geographic area or is widespread. Similarly, adding business context, like a store location attribute for an e-commerce platform, allows you to understand if an issue is specific to a particular set of stores
Traffic. Focusing on traffic obscures the purpose of AI answers: to satisfy a need on-site, not to generate clicks. AI-generated solutions do not typically include links to branded websites. Google's AI Overviews, for example, sometimes links product names to organic search listings. Thus visibility does not equate to traffic. A merchant's products could appear in an AI answer and receive no clicks.
Imagine you're selecting an influencer to work with on your new campaign. You've narrowed it down to two, both in the right area, both creating the right sort of content. One has 24.6 million subscribers, the other 1.4 million. Which do you choose? Now imagine you could find out the first had 8.7 million unique viewers last month, while the second had 9.9 million. Do you want to change your mind?
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They were trying to get to the bottom of how to diminish catalogue distribution without having a negative impact on store and online sales. They were also keen to define the geographic areas where digital content would work best and how to profile those areas to classify digital purchase behaviour. Together with Analytic Partners they were able to uncover opportunities to eliminate 22% of catalogues with negligible sales impact and increasing digital support in high-performing topologies, preserving€ 294 million in sales.
"We believe in the power of context for YouTube advertising and our clients have seen great results across the funnel from it," says Scott Stewart, executive vice president at Epitaph Group. "Now, by analysing attention scores for these campaigns, we have a new way to show that performance."
There is "no single data source" that can determine exactly how well a page performs across different forms of search, said Alex Halliday, CEO of AirOps, a generative AI platform that helps brands improve their search visibility and strengthen their content. AirOps' newest product, Page360, is designed to help brands update content based on how their media or products appear in traditional search, AI search and online community forums, such as Reddit, Pinterest or Quora (which inform AI models).
While product features certainly lead consumers to purchase products, it's really how advertisers tap into a consumer's mindset, motivation and emotional state at a given moment that moves the needle. And one signal that universally drives behavior, impacting what people try, buy and how they feel is weather. From weather comes weather data, which can then power weather targeting predicting the moments when weather shifts a consumer's mindset toward purchase, delivering deeper emotional resonance that drives both immediate sales and long-term brand growth.
