We’ve fixed that. Yoast SEO now reads your content straight from Elementor’s atomic editor, so every check works the way you’d expect: text length, keyphrase density, images, links, and more. Keyphrase highlighting works too. Click the eye icon on any check, and you’ll see your keyphrase marked in your text, right there in the editor.
If you’re still using Elementor’s classic editor, nothing changes for you. Everything keeps working as it did before.
What you need to do
Update your Yoast plugins to the latest version. That’s it. Your existing content gets picked up automatically the next time you open a page.
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We’re excited to officially announce the next stop for
Search Central Live Deep Dive Europe 2026! Mark your calendars: based directly on
your feedback, we’re headed to
Barcelona, Spain, from September 30 to October 2, 2026.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-06 00:00:002026-07-06 00:00:00Search Central Deep Dive Europe 2026: Apparently we’re going to Barcelona
AI shopping agents have raised consumer expectations for personalization well beyond name tokens and basic segmentation.
Zero-party data (information customers share directly) and first-party behavioral data are the strongest inputs for personalized email programs.
Advanced segmentation, conditional logic in automations, and predictive churn modeling are the tactics separating high-performing email programs from average ones.
Personalization drives measurable gains in conversion rate, retention rate, and ROI across industries.
Every Email Service Provider (ESP) has different capabilities, but any increase in personalization tends to move performance metrics in the right direction.
A “Hi, [first name]” token in a subject line used to feel personal. Today it barely registers. Consumers have seen it so many times that it reads as the absence of personalization rather than the presence of it.
AI has changed what’s possible in email marketing, and in doing so, it’s changed what people expect. AI-powered shopping agents can now anticipate what a customer wants before they’ve searched for it. When that’s the comparison point, a generic batch-and-blast email doesn’t just underperform. It actively signals that your brand isn’t paying attention.
Here’s what email personalization actually looks like in 2026, and how to build a strategy that keeps up.
Why the Personalization Bar Moved
Consumers have always wanted to feel like more than a number on a list. That’s not new. What’s new is the benchmark they’re measuring you against.
AI-powered shopping assistants, personalized recommendation engines, and other AI marketing tools have made highly contextual experiences the norm. When a consumer’s phone already knows they’re running low on a product they buy regularly, or when a shopping agent surfaces the exact item they were about to search for, their tolerance for generic email content drops proportionally.
Research from Klaviyo consistently shows that personalization based on zero-party and first-party data drives higher conversion rates, better retention, and stronger ROI across industries. The brands that are seeing those results aren’t relying on a silver bullet tactic, but using better data and more deliberate segmentation to deliver messages that actually fit the person receiving them.
The brands that aren’t doing this make themselves easier to ignore or unsubscribe from.
The Data Foundation: Zero-Party vs. First-Party
Before you can personalize effectively, you need the right inputs. Two data types matter most here.
Zero-party data (ZPD) is information a customer gives you directly and intentionally. Product preference quizzes, style surveys, onboarding forms that ask about goals or challenges, and opt-in preference centers all generate ZPD. The customer knows they’re sharing it and chooses to do so. That intent makes it highly reliable.
First-party data is behavioral: purchase history, browsing activity, email engagement, content interactions. You collect it passively through your owned channels. It reflects what customers actually do, which often differs from what they say they’ll do.
The most effective email programs pull both data types into a unified customer profile and use that profile to drive segmentation, automation logic, and send timing. Running these as separate efforts is one of the most common gaps in email strategy. The brands getting the most out of personalization treat ZPD collection as a systematic part of the customer journey, starting at onboarding, not as an occasional survey blast.
What Advanced Email Personalization Actually Looks Like
Generic segmentation by geography or purchase category is a starting point, not a strategy. Here’s what moving beyond the basics looks like in practice.
Conditional Logic in Automations
Take the abandoned cart workflow as a representative example. Most brands send a single recovery email to everyone who abandons. A better approach uses conditional splits based on cart value.
A customer with $250 in their cart is probably not abandoning because they need a discount. They may need reassurance, a review, or a reminder. A customer with $35 in their cart might convert on a 10 percent offer. Treating those two scenarios with the same message ignores obvious signals you already have.
The same logic applies to your welcome series, post-purchase flow, and win-back campaigns. Conditional splits let you match the message to the moment instead of averaging across your list.
AI Segmentation for Churn Prevention
Waiting until a subscriber unsubscribes to try to win them back is too late. AI segmentation tools can identify high-risk churn subscribers based on engagement decay patterns, purchase cadence changes, and behavioral signals before they disengage.
Getting in front of those subscribers with a relevant message at the right moment is significantly more effective than a reactive win-back campaign three months after they’ve gone quiet. A targeted re-engagement email with a personalized offer based on their purchase history outperforms a generic “We miss you” message sent to a cold list segment.
Scheduled newsletters have their place, but the highest-performing email programs are increasingly event-driven. A customer who views a product page three times without purchasing is a better candidate for a targeted email right now than they are for your next weekly send.
Setting up behavioral triggers requires more upfront work, but it produces messages that arrive when the customer’s interest is actually active. That timing advantage is difficult to replicate with a fixed send schedule.
Personalizing Beyond the Subject Line
Subject line personalization is the most visible layer, but email body content, product recommendations, and calls to action can all be personalized based on the data you have. Dynamic content blocks let you serve different images, copy, or offers to different segments within a single email send.
For e-commerce brands, product recommendations based on purchase history and browsing data are one of the clearest performance drivers in email. According to research from Klaviyo, personalized product recommendations in email consistently outperform static content blocks across conversion and click-through metrics.
Building a More Personalized Email Program: Where to Start
You don’t need to overhaul your entire program at once. Incremental personalization improvements add up. Here’s a practical sequence:
Audit your current segmentation. If you’re sending the same email to your full list with no behavioral or preference-based splits, that’s the first thing to address.
Add a ZPD collection touchpoint to your welcome flow. A short preference survey, a product recommendation quiz, or a style selector at signup gives you first-party intent data you can act on immediately.
Build one conditional split into an existing automation. Your abandoned cart or welcome series is the right place to start. Pick one variable (cart value, product category, acquisition source) and split accordingly.
Review your suppression logic. Are you sending promotional emails to customers who just made a purchase? Sending re-engagement campaigns to active subscribers? Small gaps like these erode the experience in ways that accumulate over time.
Separate your measurement. Track personalized segments and general sends independently. Conversion rate, click-through rate, and unsubscribe rate will tell you whether the personalization is working. Without separate tracking, you’re flying blind.
Your ESP’s capabilities will set some limits here, but most platforms support at least basic segmentation and conditional logic. Start with what’s available and build from there.
FAQs
What is email personalization?
Email personalization is the practice of tailoring email content, timing, and offers to individual recipients based on data about their preferences, behaviors, and history with your brand. It goes well beyond name tokens to include segmentation, dynamic content, behavioral triggers, and predictive recommendations.
What is zero-party data in email marketing?
Zero-party data is information a customer shares with you directly and intentionally, such as quiz responses, stated product preferences, or answers to onboarding surveys. It differs from first-party data, which is collected through observed behavior like browsing and purchase history. Both are valuable inputs for personalization.
How does AI improve email personalization?
AI tools improve email personalization in a few ways: by identifying high-risk churn subscribers before they disengage, by powering product recommendation engines that surface relevant items based on purchase history and browsing behavior, and by enabling more sophisticated segmentation than manual rule-building allows.
What email segmentation strategies work best?
Behavioral segmentation outperforms demographic segmentation in most cases. Splitting by purchase history, engagement level, browsing behavior, and acquisition source produces more relevant messages than splitting by age or location alone. Combining behavioral data with ZPD preference data gives you the sharpest segments.
Do I Need a New ESP to Improve Personalization?
Not necessarily. Most ESPs support basic segmentation and conditional logic. The bigger gap is usually in data collection and workflow design, not platform capability. Start by improving your ZPD collection and segmentation logic before assuming your current platform is the constraint.
Conclusion
Email personalization in 2026 means understanding what your customers are looking for before they tell you, and sending the right message at the moment it’s relevant. That’s a different standard than what most email programs are currently operating at.
The good news is that the inputs are largely within your control. Zero-party data collection, conditional automation logic, and behavioral segmentation don’t require a massive platform overhaul. They require a more deliberate approach to how you collect, organize, and act on the data you already have. You can also work with the NP Digital team if you want hands-on support building a smarter email personalization strategy.
More than two-thirds of SEOs (67.5 percent) say backlinks have a big impact on search rankings, and 59 percent expect that influence to grow.
The Neil Patel Backlink Checker now lives inside Ubersuggest, so your backlink analysis and the rest of your SEO research happen on one platform.
The Backlinks Overview report gives you a site’s domain authority, total backlinks, referring domains, and performance over time at a glance.
Backlink Opportunity lets you compare your profile against up to five competitors and identify specific sites worth pursuing for your own outreach.
Pair backlink data with the Traffic Overview and Top Pages reports to see which of your URLs earn the most links, then create more content in that direction.
How important are backlinks to your online business?
An overwhelming majority (85 percent) believe backlinks have a major influence on their brand authority, while 47.5 percent say building backlinks is every bit as important as content strategy. Additionally, 59 percent say they expect backlinks to have a greater impact in the future.
Plenty of other surveys demonstrate the importance of backlinks, which leads me to a question: Given how pivotal backlinks are to your online success, how do you view them, and how do you track your site’s performance?
Fortunately, the Neil Patel Backlink Checker is now part of Ubersuggest. It’s a top-notch backlink tool that helps you understand how to generate quality backlinks and analyze your site’s performance. It all lives within the platform you’re already using to conduct the rest of your SEO research.
Let’s walk through how the tool works and the best ways to use it for your business goals.
How Ubersuggest’s Backlinks Tool Works
When you first log in to Ubersuggest, look at the left-hand menu. You’ll see all features organized by category. Scroll down to the Link Building section, and click Backlink Overview.
Enter the domain whose backlinks you want to analyze, and then choose the type of report you want. There are two types of reports you can pull up:
URL: This report pulls backlink information only for that specific URL.
Domain: This report pulls all backlink information for that domain, including any subdomains. This option typically gives you the highest backlink count.
Hit Search, and Ubersuggest will get to work.
Once the search completes, you’ll see a backlinks report that shows you the Domain Authority and backlink profile at a glance. You’ll even be able to see the domain’s backlink performance over time.
This report quickly gives you a high-level overview of a site’s backlink performance. Here, you’ll see the number of backlinks you have, and you can analyze their Domain Authority.
As you scroll down, you’ll see a list of individual backlinks. This list shows the linking site’s Domain Authority and Spam Score, helping you instantly filter between good and bad links and spot broken backlink strategies.
You’ll even see the anchor text the linking site has used to link your content. This is a good way to gauge whether links are just random and spammy or actually provide searchers with helpful guidance.
Backlinks Overview alone provides a lot of data, but the Neil Patel Backlink Checker can do more. Dig into its link analysis capabilities, and you’ll see how deeper data and granular metrics enable more complex strategies.
Link Analysis From Your Backlinks Report In Ubersuggest
The list section of our backlinks report is where we can work from to do our more in-depth analysis. By default, our list of URLs shows one link per domain to make the report more useful. That way, if someone links to you 100 times, you’ll see the best link from that site.
If you want to see all 100 links coming from the same site, unclick the “one link per domain” button under the Advanced Filters tab.
If the URL or domain you just pulled up has a lot of backlinks, you’ll see thousands and thousands of links and can comb over each one during your analysis.
Here’s a deeper look at the data you’re provided for each link:
Source Page Title & URL: What is the title of the page linking to the URL/domain you looked up?
Target Page: This is where the link is pointing to. If you look up a URL, it will point to that specific URL. If you look up a domain, you can see where its link is pointing to on that domain.
Domain Authority: How authoritative is the linking site? The higher the number, the better.
Page Authority: How authoritative is the linking page? The higher the number, the better.
Spam Score: A Moz score that shows whether a link is spammy. The higher the percentage, the more likely the link is spam.
Anchor Text: Does the link contain any keywords? You can easily see this through the anchor text column.
First Seen: When did we first find this link?
Last Seen: When did we last crawl and find this link?
When you are looking for specific link opportunities, especially when doing competitor analysis in Ubersuggest, you may want to use the advanced filters to find the best link opportunities.
Here’s how the advanced filters work:
Search Box: In the box, you can type in any keyword or phrase, and it will pull any URLs, titles, or anchor text that contain any of those words. That way, you can find what you are looking for faster.
Zone: If you want to only include or exclude links with certain domain extensions, such as .net, .com, .com.br, .co.uk, etc., you can do so with zone filtering.
Referring Domain: If you want to include or exclude links coming from a specific domain, this is the filtering option you can use.
Anchor: If you want to find links by a specific anchor text, or exclude links with a specific anchor text, you can do so with this filtering option.
New/Lost Toggle: Filter links by whether they were newly gained or recently lost.
Link Type Toggle: Filter results to include all links, follow links, or nofollow links.
Finally, if you want to slice and dice the data in more advanced ways, you can always click the Export to CSV button and play around with the data if you’re a spreadsheet wizard.
Finding Backlink Opportunities With Ubersuggest
Once you take a look at your backlink profile in Ubersuggest, you can navigate to Backlink Opportunity on the left-hand menu to start shaping your strategy.
On this page, you enter your target domain and run a comparison report against up to five of your competitors.
As with the Overview report, you can toggle your search type between Domain and URL. The URL option searches for the exact URL and compares it against the exact URL of a particular competitor page. This helps take a closer look at a page’s performance against a competitor for the same keyword or topic.
Once you hit Search, you get a list of backlinks ranked highest to lowest by domain authority. You’ll also see the referring domain and which of your competitors they’re linking to.
You have the choice of viewing this report by Referring Domain or Backlink. Switching to the Backlink view gives you more granular insight into each link. It also reveals each backlink’s Page Authority score, helping you evaluate link quality and prioritize outreach to strong pages within strong domains.
Strategize Smarter by Analyzing Traffic
Under the Traffic Overview heading, you get organic keywords and monthly organic traffic, domain authority, and backlinks, including nofollow links.
Ubersuggest also has a Top Pages by Traffic feature.
You’ll notice that you can see how many visitors go to each URL, and if you click on View All under Est. Visits, you’ll see a list of keywords that are driving traffic to that URL.
If you click View All under backlinks, you will see all the URLs linking to that page.
Using this feature, you can see which types of pages link to your content. You can also see the anchor text they’re using and visit the page to get an idea of the topics being discussed around your brand.
That’ll give you an idea of which sites to target for backlinks. You can even use this data for general information on which business verticals find your content useful (in case you need to “backdoor” competitive search terms or topics).
FAQs
How many backlinks does my website have?
The exact number depends on your domain’s age, content, and outreach. Run your URL through Ubersuggest to see the number of backlinks and key backlink profile performance metrics in seconds.
How do I find backlinks to my website?
Use Ubersuggest or Google Search Console. Both pull your full backlink profile, including the anchor text and authority score, so you can see which links carry real weight.
How do I check the backlinks of my competitors?
Drop a competitor’s URL into Ubersuggest’s backlinks report. You’ll get a list of every site linking to them, which doubles as a target list for your own outreach.
How do I disavow backlinks?
If you find spammy or bad links pointing to your site, submit them to Google via the Disavow Tool. Use it sparingly, though, as removing legitimate links can tank your rankings.
Conclusion
I hope you enjoyed the full tour of the Neil Patel Backlink Checker. Now, Ubersuggest users can access it as one of the platform’s many features, making it so much easier to do all your backlink and other SEO research in one place.
You can look up as many domains and URLs as you want, whether you’re checking in on your site’s performance or tracking competitors with Ubersuggest.
Head over to Ubersuggest and start typing in domains and URLs. I put a lot of time, energy, and money into building this tool, so I hope you enjoy it and use it to see some real results in your business.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-07-01 16:00:002026-07-01 16:00:00How to Analyze Your Backlinks With the Ubersuggest Backlink Checker
Each month, we host the SEO update by Yoast covering the latest in search and AI. In this edition, Carolyn Shelby and Alex Moss discussed Google’s evolving stance on AI-driven search, publisher controls in the UK, and how to navigate visibility in an era where traditional SEO tactics are being reconsidered.
Watch the full recap on YouTube to dive deeper into these topics, hear some examples, and hear the answer to audience questions.
Remembering Bruce Clay
In this month’s SEO Update, we honor Bruce Clay, who recently passed away. He was a pioneer in SEO whose work shaped the industry. His mentorship and leadership left a lasting impact on professionals worldwide.
Google warns against manipulating brand mentions for AI
Google issued a clear warning: stop manipulating brand mentions to game AI systems. This includes tactics such as paying for unrelated brand citations, think dog food brands mentioned on sports betting sites, to artificially inflate perceived authority.
Why it matters:
Google’s message is simple: if your brand mentions are irrelevant or forced, they won’t help your authority. Worse, they might backfire as AI systems get better at detecting manipulation. Focus on earning genuine mentions from relevant sources instead.
Actionable takeaway:
Avoid paid or spammy brand mentions.
Build authority through contextually relevant citations.
If your mentions feel unnatural, they probably are.
UK forces Google to give publishers control over AI use
The UK’s Competition and Markets Authority (CMA) struck a deal with Google, requiring the company to let publishers block their content from being used in AI features, without hurting their standard search rankings.
Why it matters:
Publishers can now opt out of AI training data, but there’s a catch. If you block Google’s AI from using your content, you might lose citations in AI overviews, even if you rank well in traditional search. Users will instead see synthesized answers from other sources.
Actionable takeaway:
If your content is truly unique and proprietary, blocking AI access might make sense, but only if you have a monetization strategy beyond search traffic.
For most sites, allowing AI access is better for visibility. Ensure your content is structured and crawlable so AI systems can cite you accurately.
If you block AI access, provide a teaser, like Amazon’s “Look Inside” feature, to encourage clicks.
New AI visibility insights in Google Search Console and Bing Webmaster Tools
Both Google and Bing rolled out new reporting features to help you understand how your content appears in AI-driven search.
Google Search Console grounding queries
Google now shows grounding queries, the specific searches where your content was cited by AI. This helps you see which topics are driving AI visibility.
Why it matters:
Grounding queries indicate that AI systems are using your content to generate answers. If you’re not seeing citations, your content might not be structured or visible enough for AI to reference.
Actionable takeaway:
Check Search Console weekly for grounding queries.
Focus on visible, structured content, so avoid hiding key info in accordions or tabs.
Use this data to refine your content strategy, so double down on what’s working or fix what’s not.
Bing Webmaster Tools: AI performance reports
Bing’s new reports include intents, topics, citation share, and performance comparisons for AI-driven search. This gives you a clearer picture of how your content performs in Bing’s AI experiences, like Copilot.
Why it matters:
Bing’s AI integrations, such as Copilot in Windows, reach millions of business users. Ignoring Bing means missing out on a growing segment of AI-driven traffic.
Actionable takeaway:
Set up Bing Webmaster Tools if you haven’t already.
Compare Bing’s data with Google’s to spot gaps or opportunities.
Use LLMs like ChatGPT or Claude to analyze exports from both tools for deeper insights.
Google’s new publisher profiles and business data integrations
Google introduced publisher profiles and enhanced business data integrations, giving creators and businesses more control over how their content appears in search.
Why it matters:
These tools help you fill out your knowledge graph, which improves visibility across Google’s ecosystem, including Gemini. Think of it as Google+ for publishers, but with a focus on entity authority rather than social networking.
Actionable takeaway:
Create or update your publisher profile in Google Search Console.
Ensure your Google Business Profile is complete and accurate.
Use structured data to connect entities such as authors, brands, and products to your content.
Google updates SEO guidance: Don’t blindly trust AI or SEO tools
Google’s latest guidance warns against blindly following AI-generated SEO advice or third-party tool recommendations. The example? An AI suggested changing “consultant” to “advisor” for a site, only for the site to start competing with financial advisors instead of its actual audience.
Why it matters:
AI and SEO tools can misinterpret context. Always verify recommendations before implementing them.
Actionable takeaway:
Trust but verify, so use AI and tools for ideas, but apply critical thinking.
Check multiple sources, so compare Google’s data with Bing’s, or use tools like Semrush/Ahrefs for cross-referencing.
Prioritize human judgment, because if a recommendation feels off, it probably is.
Schema.org released data showing that 95% of websites use only 12 of the 958 available schema types. Meanwhile, fewer than 1,000 sites use 485+ schema types.
Why it matters:
Schema helps search engines understand your content, but most sites aren’t leveraging its full potential. Using more schema types can improve visibility in AI-driven search and rich results.
Actionable takeaway:
Audit your current schema usage to identify any missed opportunities.
Explore less common schema types, like FAQPage, HowTo, or Event to stand out.
Use Yoast SEO’s schema blocks to simplify implementation.
German court rules Google liable for false AI overview claims
If Google’s AI cites false or harmful information about your business, you now have legal recourse in Germany. However, prevention is better than litigation.
Actionable takeaway:
Monitor AI overviews for inaccuracies about your brand.
Publish accurate, crawlable content to counteract misinformation.
If you find false claims, correct them at the source, such as on Reddit or in forums, and report them to Google.
Google’s open knowledge format: A new way to structure content
Google introduced the Open Knowledge Format (OKF), a way to catalog site content in markdown for AI consumption. This is part of Google’s push for structured, AI-friendly content.
Why it matters:
While Google’s search team advises against duplicate markdown versions of pages, the engineering team is building tools like OKF. This suggests structured content will play a bigger role in AI-driven search.
Actionable takeaway:
Wait and watch, as OKF is new, and adoption isn’t urgent yet.
Focus on structured content, like schema, clear headings, visible text.
Avoid gating critical information behind interactive elements, such as accordions and tabs.
Yoast news: Performance upgrades and new features
We rolled out performance improvements in versions 27.8 and 27.9, of Yoast SEO, including:
Faster admin pages and post editor for large sites.
Speed boosts for SEO analysis. For instance, a sitemap query on a 2M-page site dropped from 300 seconds to 25 milliseconds.
Yoast Duplicate Post plugin upgrades, including improved Rewrite and Republish functionality for easier content repurposing.
Sign up for the next SEO Update by Yoast
The next SEO Update by Yoast is on August 25, 2026, at 4:00 PM CET (10:00 AM EST). Sign up to join live!
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Google has released an update to the recipe results within AI Mode to make them more publisher-friendly. Google added the creator name, recipe ratings and number of ingredients to these AI Mode results for some recipes.
What is new. Robby Stein from Google said there are now “prominent links at the top of responses with useful details and images – like the creator name, recipe ratings and number of ingredients.” He added that this should make it “even easier to discover and visit recipe pages with AI Mode.”
What it looks like. Here is a screenshot of the treatment:
Previously. Robby Stein, back in March, also announced changes to the recipe results in AI Mode. Then he said, “We’ve heard feedback on recipe results in AI Mode, and we’re making updates to better connect people with recipe creators on the web.”
These changes are to help reduce the AI recipe slop that we see for a lot of these queries.
Why we care. Recipe bloggers, well, content creators in general, have not been happy with how traffic from Google’s AI experiences did not send as much traffic as the traditional search results. Here we see Google trying to make changes to encourage more searchers to click from those AI experiences to the bloggers website.
If Google can add more clickable link units to the AI experiences in search, that can help improve the publisher-Google relationship.
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Microsoft is bringing experimentation to Performance Max campaigns, giving advertisers new ways to test campaign changes and measure incremental impact without disrupting live performance.
What’s new:
Uplift experiments let advertisers measure the incremental impact of Performance Max campaigns against a control group.
Upgrade experiments allow advertisers to compare an existing campaign with an upgraded Performance Max version before fully rolling out changes.
Both experiment types are available under Campaigns > Experiments for eligible accounts.
Why we care. Until now, Microsoft Ads experiments were limited to Search campaigns. Expanding testing to Performance Max gives advertisers a safer way to validate campaign changes, optimize performance, and make data-driven decisions before committing budget.
Between the lines. As experimentation expands, Microsoft has also renamed its existing experiment offering to Search optimization experiments, distinguishing it from the new Performance Max testing capabilities. The move reflects Microsoft’s broader push to provide advertisers with more sophisticated optimisation tools across automated campaign formats.
The bottom line. Microsoft is closing a key gap in its Performance Max offering by introducing dedicated experiment types, giving advertisers more confidence when testing upgrades and measuring the true impact of automated campaigns.
First spotted. The help docs were spotted by PPC News Feed founder, Hana Kobzová.
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Google is updating the All Campaigns selector with a redesigned interface that makes it easier for advertisers to navigate large and complex account structures.
What’s happening. The new All Campaigns selector is rolling out across Google Ads, bringing a refreshed layout and improved navigation tools.
What’s new:
The selector has been moved to a new location in the interface.
Campaigns now appear in an expandable hierarchical view, making campaign groups and nested structures easier to browse.
A new search function lets advertisers quickly locate campaigns and campaign groups.
Why we care. The update could save time for advertisers managing large accounts by making it faster to navigate between campaigns, particularly in accounts with multiple campaign groups or complex organisational structures.
The bottom line. Google’s redesigned All Campaigns selector aims to streamline campaign management with a clearer hierarchy and built-in search, helping advertisers navigate complex accounts more efficiently.
First spotted. The update was identified by performance marketer Vivek Gupta on LinkedIn, and is rolling out gradually, so it may not yet be available in every Google Ads account.
Google is updating its advertising policy to clarify how it limits certain ads while estimating a user’s age, offering advertisers more transparency as it expands age assurance technology worldwide.
What’s happening. Google has renamed its Default Ads Treatment policy to “Categories restricted while Google is estimating a user’s age.” The change better reflects that the restrictions are temporary and only apply while Google’s systems determine a user’s age.
What’s changing:
The policy has a new name to more clearly describe its purpose.
Google has updated the policy language to emphasise that the restrictions are interim protections during the age estimation process.
Enforcement remains unchanged.
What’s different: Google has also narrowed the list of ad categories restricted during the age estimation process.
Previously, Google restricted ads for:
Adult content and pornography
Alcohol
Gambling
Shocking content
The updated policy now restricts only:
Adult content and pornography
Alcohol
Gambling
Why we care. The update doesn’t introduce new advertising restrictions, but it provides greater clarity on when and why certain ads may not be served. Advertisers in affected verticals can better understand that these limitations are tied to Google’s age estimation process rather than permanent policy changes.
The bottom line. Nothing changes for advertisers operationally, but Google’s updated policy makes it clearer that restrictions on adult, alcohol and gambling ads are temporary safeguards while a user’s age is being estimated.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/06/google-migration-flow-1920-QZ0e1h.jpg?fit=1920%2C1097&ssl=110971920Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-06-30 15:43:122026-06-30 15:43:12Google renames age estimation ads policy as global age assurance expands
Google is expanding measurement capabilities for YouTube brand campaigns, giving advertisers better visibility into how video ads drive engagement, brand interest, and downstream business outcomes.
What’s new:
Shorts Ad Actions for Video View Campaigns: Advertisers running Video View Campaigns that are opted into YouTube Shorts will now automatically benefit from Shorts Ad Actions in budget optimization. Google is also adding new reporting columns to measure these interactions.
Attributed Branded Searches: Now available globally in Google Ads, this new reporting metric measures branded Google searches that occur after users see or view a YouTube ad, helping advertisers quantify how awareness campaigns influence purchase intent.
Why we care. It can be hard for marketers to connect upper-funnel YouTube campaigns with measurable business outcomes. These updates provide stronger signals that link brand advertising to engagement and search intent, making it easier to justify brand investment and optimise campaigns.
By the numbers:
According to Google, YouTube Shorts ads that generated more than 10 seconds of watch time and a like delivered:
15% higher brand consideration
20% higher brand favourability, according to Google.
Google also says that every additional branded search generated is associated with an average $31 increase in sales.
Between the lines. Google continues to blur the distinction between brand and performance marketing by introducing metrics that connect awareness campaigns with downstream actions. Attributed Branded Searches, in particular, gives advertisers another way to demonstrate that YouTube campaigns can influence high-intent behaviour before a conversion takes place.
The bottom line. Google’s latest measurement updates help advertisers better prove the value of YouTube brand campaigns by linking video engagement and branded search activity to business outcomes—offering stronger evidence that upper-funnel advertising can drive measurable results.
