Google reported earnings last night and their ad revenue not only slowed but was technically lower year over year. Google’s ad revenue was down about 3.6%, while total revenue was up just around 1%.
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Google Ad Revenues Down 3.6% Year Over Year, Working On Cost Structure
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Daniel Waisberg Hosted Lizzi Sassman & Martin Splitt At Google Tel Aviv
B2B marketing will be more digital, customer-focused this year [Data] Marketers will spend $6.16 billion on influencer marketing in the U.S. alone during 2023, which would be an increase of 23.4 percent over 2022, while 54 percent of B2B marketers have said that they plan to spend more on customer marketing during 2023 — two of several findings of interest to digital marketers contained in newly-published B2B marketing research
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Elevate B2B Marketing News: B2B Gets More Customer Focused, Instagram Adds Lead Forms, Personalization Study, & ChatGPT Plus Launches
Feb 23
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Google’s John Mueller says headings with a hierarchical structure is an “awesome idea & a great practice” The post Google: Headings With Hierarchical Structure An “Awesome Idea” appeared first on Search Engine Journal .
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Google: Headings With Hierarchical Structure An “Awesome Idea” via @sejournal, @martinibuster
Now that ChatGPT is trending, there are AI content detection softwares to safeguard against it. How effective are these tools?
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AI Content Detection Software: Can They Detect ChatGPT? via @sejournal, @vahandev
From developing a strategy to building a list to tracking results, this guide covers everything you need to know to start marketing via email.
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Email Marketing: An In-Depth Guide via @sejournal, @BrianFr07823616
In this week’s episode of Whiteboard Friday, Mozzer Meghan Pahinui takes you through the process we use to implement customer feedback, in the hopes that you can take it and apply it to your own content creation and maintenance strategies. Click on the whiteboard image above to open a high resolution version in a new tab! Video Transcription Hey, Moz fans. Welcome back to another edition of Whiteboard Friday.
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Harnessing the Power of Feedback — Whiteboard Friday
How Google uses AI in search In 2022, we learned more about how Google was using AI in search – for understanding language for query, content and ranking purposes. The overview covered in what ways AI and machine learning helped Google Search perform its daily tasks. Specifically with: RankBrain Neural matching BERT MUM In short, RankBrain, neural matching and BERT were all used in Google’s ranking system across many, if not most, queries and look at understanding the language of both the query and content it was ranking
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This day in search marketing history: February 3
Feb 23
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Google announced its Q4 earnings just hours ago, more on those numbers later, but Sundar Pichai, the CEO of Google, confirmed in the earnings call the search company’s plans to bring AI-like search features that “people can engage directly with.” Sundar Pichai said, “In the coming weeks and months, we’ll make these language models available, starting with LaMDA, so that people can engage directly with them. This will help us continue to get feedback, test, and safely improve them
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Sundar Pichai confirms Google is working on AI search feature users can “engage directly with”
Feb 23
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Google’s parent company saw a 9% decline in revenue and 1% drop in Search revenue. CEO Sundar Pichai remains optimistic due to investments in AI. The post Google’s Q4 Report: The Challenges & Opportunities For Marketers appeared first on Search Engine Journal
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Google’s Q4 Report: The Challenges & Opportunities For Marketers via @sejournal, @MattGSouthern