Skip to main content

Google updates its analytics tools for newsrooms

Google is introducing new tools for newsrooms looking to understand their online audiences and how those audiences feed into their overall business.

These efforts fall under the umbrella of the broader Google News Initiative, introduced in 2018 as a way for the search giant to fund quality journalism and find other ways to support the industry. Since then, Google has introduced two journalism-focused products that sit on top of Google Analytics — News Consumer Insights, which is designed to help publishers grow their audiences and become more profitable, as well as Realtime Content Insights, which is supposed to help newsrooms see what’s trending at any given moment.

“We heard over and over again that our news partners were drowning in this data,” said Amy Adams Harding, director of analytics and revenue optimization for news and publishing at Google. “They had difficulty teasing out actionable intelligence in the tsunami of numbers.”

She added that it was “important” to her team that these products be free to use and “accessible to anyone using Google Analytics.”

Today, Google is introducing version 2.0 of both News Consumer Insights and Realtime Content Insights, while also adding a new feature called the News Tagging Guide.

Google NCI

Image Credits: Google

NTG is supposed to make it easier for publishers to collect the data they need. That falls into three broad categories — video analytics, user engagement and reader revenue. Publishers will be able to select the category and the specific types of data they want to track, and then Google will give them JavaScript that they can copy and paste onto their website in order to start feeding that data into Google Analytics.

Meanwhile, the News Consumer Insights product now includes personalized recommendations for the publisher. For example, it might point out that a publisher’s newsletter signups are relatively low, and then it could suggest different ways to improve those signups. Harding noted that NCI didn’t lack recommendations before, but to find them, publishers had to continually refer back to the generalized playbook, rather than having the most relevant recommendations highlighted for them while they’re going over their data.

And Realtime Content Insights have been expanded to include similar data about video content, as well as historic performance data, so publishers can see which stories performed best in a given period of time. And it’s not simply focused on pageviews — RCI also tracks things like social sharing and engagement, and it identifies which stories are doing better with casual readers versus loyal readers (who visit more than once a month) versus brand loyalists (who visit at least 15 times a month).

“We’re not saying one is better than the other,” said Anntao Diaz, Google’s head of News Consumer Insights, Realtime Content Insights and Google Surveys for Publishers. Instead, he suggested that different articles can attract different readers to serve different purposes, whether that’s growing the overall audience or building a relationship with a loyal audience that might pay for subscriptions.

Google has already been testing these features with select publishers, including Time and local newspaper publisher Lee Enterprises.

“As Lee Enterprises’ audience reach continues to grow in our newspapers’ communities, our partnership with Google News Initiative provides excellent insight and industry benchmarks to measure our success,” said Kyle Rickhoff, director of analytics at Lee Enterprises, in a statement. “The new version News Consumer Insights powered by News Tagging Guide improves our understanding of readers’ engagement and helps us prioritize business opportunities for video, engagement conversions and on-site subscriptions with better data.”



from TechCrunch https://ift.tt/2Va1OtG
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Max Q: Anomalous

Hello and welcome back to Max Q! Last week wasn’t the most successful for spaceflight missions. We’ll get into that a bit more below. In this issue: First up, a botched launch from Virgin Orbit… …followed by one from ABL Space Systems News from Rocket Lab, World View and more Virgin Orbit’s botched launch highlights shaky financial future After Virgin Orbit’s launch failure last Monday, during which the mission experienced an  “anomaly” that prevented the rocket from reaching orbit, I went back over the company’s financials — and things aren’t looking good. For Virgin Orbit, this year has likely been completely turned on its head. The company was aiming for three launches this year, but everything will remain grounded until the cause of the anomaly has been identified and resolved. It’s unclear how long that will take, but likely at least three months. Add this delay to Virgin’s dwindling cash reserves and you have a foundation that’s suddenly much shakier than before. ...