Google Lens results within Google Chrome on desktop will now be displayed on the right side of the same browser tab you are viewing. This is instead of the results opening up in a new tab or new window within Chrome. How it works. Here are the steps to take on Chrome to see this yourself:
Tip: Search results display on the right side of your screen. To display them in a new tab, click Open . Here is a GIF of it in action: Who can see it. Google said this feature is now rolling out to all Chrome users. Google said this is part of the search company’s “broader effort to help people search and access information in more natural and intuitive ways.” Why we care. This may encourage searchers and Chrome users to search more visually using Google Lens. If your content is displayed in these results, there is a chance you might see more traffic to your site through this search feature. Either way, you should be aware of this new Chrome feature as a potential source of traffic to your site and also how useful it can be for you to learn about images or things. The post Chrome will show Google Lens results in the same browser tab appeared first on Search Engine Land. via Search Engine Land https://ift.tt/1TFLPeC
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Six new updates – the most interesting being the ability to optimize for in-store sales – are coming to Performance Max (PMax) campaigns. Performance Max, Google’s newest campaign type, is a major focus of this year’s Google Marketing Live. Here’s a recap of all the announcements related to Performance Max from Google’s event. In-Store Goals. Google has been steadily rolling out Performance Max changes for online optimization since inception, and now it’s time for a local add-on. PMax campaigns will have the ability to optimize toward store sales goals to drive more in-store sales, store visits and local actions. These additions will now give brick-and-mortar businesses a reason to test Performance Max campaigns in their accounts. Optimization score for Performance Max. This addition has Google doubling down on automation by placing automated optimization tips in their most automated campaign type. The example provided gives advertisers the helpful recommendation of optimizing for new customer acquisition. This is rolling out now globally. Burst Campaigns. A new “burst” feature within Performance Max campaigns will work in conjunction with in-store goals and will allow advertisers to advertise for a set timeframe to hit in-store goals. If users have in-store goals configured, they’ll be able to boost seasonal in-person traffic. Additional Insights and explanations. Advertisers will be receiving more intelligence on their Performance Max campaigns thanks to expanded insights. These include consumer, audience and auction insights within Performance Max campaigns. While this data may not be able to be acted upon due to the nature of the campaign type, it will show users what is driving performance. Performance Max experiment tools. Yes, at the event “Performance Max” and “experiment” were used in the same sentence. But, no, experiments are not coming to Performance Max campaigns. These are “Experimentation tools” to show how PMax can drive incremental conversions from your existing Google Ads campaigns. While this may sound ideal, advertisers should proceed with caution. Instead of an apples-to-apples comparison, these tools will take existing “comparable campaigns” and layer Performance Max on top with the goal of showing how much lift could be seen. The comparable campaigns are currently fixed, so advertisers cannot control the ‘control’ in this experiment. PMax campaigns can include branded/competitor/remarketing audiences which many times have favorable CPA/ROAS. Finally, these experiments are for non-retail campaigns and are in open beta for advertisers globally. More availability and access. Advertisers using the Google Ads app or Search Ads 360 will now be able to manage Performance Max campaigns. PMax campaigns have had less access reporting availability since rollout, but Google has been quickly patching these holes. This patch will allow for Google Ads App users and Search 360 to test as well. Why we care. These new additions should give advertisers a bit more data and options for these automated campaigns. Heading into the holiday season, these in-store goal enhancements mixed with burst campaigns may give stores a temporary way to boost volume. It should be noted that the experiment tools are unlike traditional experiments in Google Ads. They will not allow Performance Max campaigns to be tested against each other, but rather as an additive to “comparable campaigns” in your account, so use with caution. These experiments may look more like a Performance Max sales tool than a true A/B test, but we’ll all know more once we are able to evaluate hands-on. More from Google Marketing Live 2022:
The post 6 updates coming to Google Performance Max campaigns appeared first on Search Engine Land. via Search Engine Land https://ift.tt/JeErwPs Google today is announcing a big visual change to apparel searches – one which will create a unique blend of Google Ads advertisements and organic listings. If you’re a retailer running shopping ads, this is one update you need to know about. Here’s what Google is announcing today at Google Marketing Live. New swipeable shopping feed on search. Organic results will be joined by shopping ads in one larger swipeable visual feed. Here’s what it looks like: Google has been working to incorporate a more visual display for apparel queries on mobile since September. But shopping ads have still been displayed in the same fashion. These new ad formats will be available via Search or Performance Max campaigns and all of the imagery will come from advertiser-provided assets for apparel queries. “These will be clearly labeled as ads and will be eligible to appear in dedicated ad slots throughout the page. We’re also rolling out new ways to showcase multiple product images within Shopping ads in the U.S., along with information such as product descriptions, reviews, and product availability, with no further action required of advertisers,” Google told us. This will be rolling out to advertisers later this year for relevant apparel queries. Why we care: A bigger, bolder ad type that is mixed with organic results will help all retailers. The ability to swipe for more information adds a level of interactivity and the combo of organic plus ads should help keep searchers engaged and active. This should be a welcomed improvement and will hopefully move to more verticals in the future. More from Google Marketing Live:
The post Google shopping ads get a ‘swipeable’ makeover appeared first on Search Engine Land. via Search Engine Land https://ift.tt/BDLM6A1 Google’s annual Marketing Live event is just about to kick off – and Google is unveiling a slew of updates to its ad products. Announcements from this year’s event are heavy on automation, Performance Max and YouTube Shorts, as expected. Here’s everything marketers and advertisers need to know from Google Marketing Live 2022. Performance Max upgrades. Google is helping more advertisers try their most automated campaign type, Performance Max. These enhancements include:
YouTube Shorts ads. Those advertisers currently running video action campaigns and app campaigns will have ads automatically scale to fit Google’s TikTok competitor, YouTube shorts. Shorts are limited to one minute in length and advertisers may want to tighten up and hone in creative, given the timeframe. This will be rolling out now to advertisers globally, so make sure to measure results and annotate accordingly. Swipable shopping ads in search. A big, bold new ad display pairs organic shopping results with shopping ads for a highly visual shopping experience. This is for apparel brands only and will be available through Search and Performance Max campaigns. Product feeds for a shoppable YouTube experience. Later this year, advertisers will have the ability to connect product feeds to campaigns to create shoppable video ads on YouTube Shorts. Google said they have been experimenting with ads in YouTube Shorts since last year and are now slowing rolling out to advertisers across the globe. Google said this is a “key step on our road to developing a long-term Shorts monetization solution for our creators, which we’ll share more about soon.” Beyond that, no additional context on this interesting marriage of the feed and Shorts was provided. Coming soon to search results: 3D models of products. According to Google, “Augmented reality (AR) on cameras gets us close, and shoppers are ready for it. More than 90% of Americans currently use, or would consider using, AR for shopping.” Merchants will “soon” have the ability to have 3D models of their products appear directly within the search engine results pages. No additional details on the program have been released. Insights page updates. The Insights page is getting a major overhaul, with a focus on attribution and first-party data. A new attribution section will show advertisers a better view of what drove conversions within accounts. This will also recommend a better attribution model if Google detects it can provide a better view on conversions. The last new insight is the support of first-party data. The insights page will help advertisers view which customer lists are driving performance for campaigns – with privacy at the forefront. According to Google, new budget insights may help to identify opportunities to optimize ad spends. This feature will show how spend is pacing against performance. The implementation and rollout will be interesting to observe, but much like Google’s recommendations, this should only be one piece of the decision-making puzzle. Loyalty program ads integration. Advertisers using Performance Max along with a product feed will be able to drive more loyalty sign-ups across YouTube, Display, Search, Discover, Gmail and Maps, Google announced. While this sounds interesting on paper, there will be a lot to unpack in the execution of this program. Advertisers with shopping feeds generally look to drive revenue from ads, not sign-ups. The details are fuzzy at this point, but Google said more updates are coming in the second half of 2022. This is slated for the U.S. only. Google Audiences for Connected TVs. Advertisers will soon be able to use connected TV campaigns to target viewers across YouTube and “most” other connected TV apps. This exciting new development will bring affinity, in-market, and demographic audience segments to connected TVs. The affinity audiences are available in a global beta. The in-marketing and demographic audiences will be in beta for global advertisers at the end of Q2. Checkout on Merchant. Google will be streamlining checkouts for customers that “have decided what they want.” With this implementation customers won’t need to go through so many screens/pages in order to checkout and will instead be sent directly to the existing buy-flow from the merchant – directly from the product listing. According to Google, Merchants will “own the customer” as the transaction happens directly in their flow. While an interesting concept, this direct purchase may see a decline in AOV as users won’t browse the site and will instead click the product listing and directly purchase. This is currently a closed pilot and Google is working to expand and move towards general availability in the coming months. Why we care. Some of the items released (e.g., Checkout on Merchant and swipeable shopping ads) may have a major impact on advertisers, while other features (like the Performance Max experiment tools and Shorts expansion) may not. Like every year, with many of the new features the devil will be in the details but the additional insights, and targeting should shake out to be an upgrade for advertisers across the globe. The post Google Marketing Live 2022: Everything you need to know appeared first on Search Engine Land. via Search Engine Land https://ift.tt/PYaOdCp There is a lot of negativity out there when it comes to Google Analytics 4. I get it. It’s a new product that looks, feels and works differently from what we’re all used to in Universal Analytics. And, as many readers would rightly suggest, it’s still missing features. [Disclosure: I used to work for Google and helped build the foundations of Google Analytics 4] All that being said, I’m here to offer an unpopular opinion: GA4 is actually a great tool. Not only that, it’s a lot more resilient for the future (think privacy, cookies and scaled data models). Over the next several months, I’ll be writing articles taking you through the ins and outs of key features, I’ll show you how to setup/analyze/customize, and much more. But first, I wanted to address some of the bigger image issues facing GA4 today. So let’s look at some of the biggest complaints and counterpoints to why you should go all-in on Google Analytics 4. Complaint 1: Universal Analytics is just fine, no need to rock the boatCounterpoint: Actually, Universal Analytics itself is over 10 years old (released in 2012), and is built on the same code base as Classic Analytics (ga.js, circa 2007) and Urchin Analytics (urchin.js, pre-2005 acquisition by Google). This codebase and product are old. Most of the software you are likely using has undergone significant changes and updates over the years, and your Analytics tool should too. The fact is, Universal Analytics just wasn’t built for the internet that we have today. It won’t do well with new privacy regulations, cookie loss, etc. We need a tool that is purpose-built for the internet of today and tomorrow. Speaking of privacy, GA4 has recently launched several new data controls and no longer stores IP data. This is great news. Is it the solution to all our GDPR worries? No, probably not. But it’s moving in the right direction and the GA team is clearly working very hard on this to build controls and solutions that will work within the law and help GA users continue to be able to use Google Analytics as they see fit. These new controls live under Admin > Data Settings > Data Collection > Location and device data collection. Complaint 2: GA4 has a lot of missing featuresCounterpoint: GA4 is getting better every day. Is it perfect? No. But perfect is the enemy of the good, right? Since its initial beta release in 2019, GA4 has continued to add new features and improve, and the pace of innovation is speeding up. Here are just some of the things launched in the past few months:
Digging in on one point that is especially important for SEOs: GA4 finally has a landing page dimension! While there isn’t a built-in landing page report, you can easily build one using the new customization features we’ll cover in the next point. Complaint 3: The New UI is awful, I can’t find anything in there!Counterpoint: Don’t like it? You can change it! For the first time ever in Google Analytics history, you can modify not only the left-side navigation but also the reports themselves. This is something that digital analysts have been clambering for years, and something you could actually do in SiteCatalyst (throwback to what is now Adobe Analytics) since at least version 14, probably earlier (for context, SiteCatalyst v14 launched in 2009). Here are a couple of examples of what you can do with UI and report customizations:
Complaint 4: I hate the new data model. Sessions should rule everything!Counterpoint: The new data model is actually pretty great. Universal Analytics relied on sessionization and this caused a lot of issues in the scalability of data and caused things like sampling in the UI. GA4 uses an events and parameter data model, similar to many other product analytics tools. In this model, everything is an event, even a pageview is an event. This data model offers a lot more flexibility and structure. For example, an event in Universal Analytics was a unique combination of three dimensions (category, action, and label). You could end up with hundreds or even thousands of these events, and if the implementation was done over time or by more than one person, it likely lacked consistency in the structure or hierarchy of the event data. GA4 streamlines this data model into recommended and custom event and parameter names, and differentiates the events themselves by the values collected, allowing a much more streamlined and structured implementation. I asked digital analytics expert Simo Ahava what he thought about the new data model. He said: “What I most like is how open-ended GA4’s data model is, there’s a flexibility with the model that UA never had,” Ahava said. “UA was always handicapped due to the prescriptive semantics. Events had to be collected with category, action, label, and value. This led to a very static data table that suffered from technical debt and a sampling problem that got worse the more detailed your data collection was. “With GA4, you have freedom to choose what to collect, and how to collect it, and it looks like the reset of the data model makes the platform faster, more scalable, and more responsive to queries,” Ahava added. Google Analytics 4 is a radical changeWe’ve all grown very accustomed to the current version of Google Analytics. I can’t guarantee that the transition will be perfectly smooth. GA4 is a completely different tool that you will have to invest in and learn. But The post Why you should give Google Analytics 4 a chance appeared first on Search Engine Land. via Search Engine Land https://ift.tt/z21tmkB A sublime customer experience allows customers to move from channel to channel without losing their place or the information they’ve entered. To successfully deliver these experiences, brands must meet current data, security, and personalization challenges with ambitious strategies and first-rate technology. Join seasoned experts from Redpoint Global in a live webinar and learn how you can creatively collect first-, second- and third-party data to engage and retain consumers. Register today for “Data-Driven Answers to Achieve Omnichannel Success” presented by Redpoint Global. The post Webinar: Overcome third-party data challenges for CX success appeared first on Search Engine Land. via Search Engine Land https://ift.tt/5R4qutO Google Search seems to be showing fewer sitelinks in the search results. Google would show as many as six sitelinks per search result snippet, now Google seems to be showing a maximum of four sitelinks and often just two sitelinks. What are sitelinks. Sitelinks are links from the same domain that are clustered together under a web result. Google Search said it “analyzes the link structure of your site to find shortcuts that will save users time and allow them to quickly find the information they’re looking for” in the search results. What changed. Google seems to have changed to a vertical format for large sitelinks and is only showing up to 4 sitelinks. Even the example from Google’s very own help documentation shows six sitelinks. Screenshots. Here are screenshots showing how a search for [tesla] is showing four sitelinks: A year or so ago, the same search displayed six sitelinks: My site has always showed at least four sitelinks, now I see it showing only two: If you search for rustybrick with a space, [rusty brick], Google does show four: Why we care. Fewer sitelinks may lead to less of a chance to get clicked on from the Google Search results. That may lead to less site traffic from Google search and ultimately lead to less revenue. We have emailed Google to confirm this was changed and to learn more about why it has changed. Hat tip to this Reddit thread for spotting this. The post Is Google Search showing fewer sitelinks appeared first on Search Engine Land. via Search Engine Land https://ift.tt/R3iDAcY Google is testing a new trail version of the Google News portal at news.google.com. It is a limited trail, I was only able to bring it up once in Safari private mode, but then I lost it. The new home page is more visual, brings the navigation menu from the left side to the top and overall cleans up the look of the home page. What it looks like. Here is a screenshot of the top of the page that I was able to screen capture when I saw the test – you can click on it to enlarge it: Here is the bottom portion of the page, again, you can click on it to enlarge it: When will you see it. Again, this is just a test, just a trial, Google is running to see if those in this test group like the new Google News design and if the responses they expect from the new design is positive or negative. Google is constantly testing new user interfaces across all their platforms, so this should come as no surprise. Why we care. Whenever Google releases a new design or user interface in Google Search or Google News, that can impact ones visibility and clicks to their web site. So keep these user interface tests in mind when understanding any risks or rewards you might see in the future with Google News interface changes. Again, this is just a test – it is hard to know if and when this new design will go live. The post Google News new design being tested appeared first on Search Engine Land. via Search Engine Land https://ift.tt/zDhUcRI Everyone’s talking about privacy. When Google announced the deprecation of third-party cookies in early 2020, privacy became a hot topic. The loss of third-party cookies impacts all advertisers and is especially challenging for B2B marketers, who struggle to reach the right audience even with third-party cookies in play. Let’s review how today’s privacy changes came about – and then look ahead to what it all means for marketers. How did we get here?In the early days of the internet, it was the Wild West. No one cared about privacy. As with anything new, consumers were enamored with going to a website, ordering whatever they wanted and having it show up at their door. Sure, mail-order had been around for a long time. But it wasn’t exciting to fill out a form, write a check and send it in – only to wait 6-8 weeks for the order to arrive. The internet changed buying habits forever. It was possible to find and buy nearly anything online easily. Still, the internet also offered a treasure trove of user data that marketers could tap into for insights into buyer behavior. Somewhere around the mid-2000s, retargeting was introduced. I remember being at a search conference around 2005, watching a demo of a new technology that would dynamically serve ads based on users’ search activity and the websites they visited. My mind was blown. Do you mean we can show different ads to different users based on things we know about them? Sign me up! No one thought about privacy then either. We were so enamored with this new technology that we never gave privacy a thought. Privacy becomes a thingFast forward to today. Retargeting is everywhere. Everyone knows when they are being retargeted. And advertisers are often doing it poorly. Every digital marketer can come up with a handful of bad retargeting they’ve experienced personally. For me, a memorable one was just after I’d made an online reservation at a hotel for a business trip to Seattle. I was immediately bombarded with ads – from the same hotel I’d just booked, saying, “Book your trip to Seattle now!” Come on. I believe that lazy marketers are partly responsible for the privacy changes coming later this year. People are sick of poorly targeted ads that follow them incessantly. How privacy affects B2B search marketingB2B search marketing is challenging under any circumstances. Searchers don’t self-identify as B2B users when they perform a search. And often, the keywords they use are the same keywords a consumer might use, even though each is looking for two different things. Terms like “insurance,” “security” and even “design software” are vague. The searcher could be looking for services for themselves or their business. That’s where third-party cookies came in. Advertisers got excited when Google introduced audience targeting options like affinity and in-market audiences. Finally, a way to layer on audience signals based on search and browsing behavior! However, audience targeting options are hopelessly consumer-focused. Here are Google’s current affinity segments: See anything that looks remotely like B2B? Me neither. In-market segments aren’t much better. Here’s one for Business Services: The “Business Technology” category isn’t bad, but the others, such as “Business Printing & Document Services,” seem tailored to small businesses, not enterprises. The death of third-party cookiesSo what does all this have to do with privacy? Targeting options like affinity audiences and in-market audiences are built from third-party cookies. Search engines use signals (e.g., which websites users visited) to compile the audiences. Google has announced the deprecation of third-party cookies from Chrome within the next year. In other words, most of these targeting options are going away soon. First-party audiences to the rescueFirst-party audiences are great for B2B. They remove many obstacles B2B advertisers face: consumer-focused targeting, or targeting that’s too broad for the business need. But first-party audiences also pose challenges for B2B. The biggest hurdle is creating the audiences in the first place. To efficiently use first-party audiences, advertisers need some way to compile audience data, group users into cohorts and securely pass the data to advertising platforms like Google Ads and Bing Ads. Usually, this is done through a data management platform (DMP) Advertisers who use a DMP have a relatively easy time using first-party audiences in their PPC campaigns. The DMP can be used to upload audiences directly to search engine platforms. Unfortunately, even among our enterprise clients, surprisingly few have a good DMP setup. This means most advertisers are not able to use first-party audiences effectively. And even for advertisers who do have a suitable DMP, we often find that the first-party audiences are too small to target. Unlike e-commerce, B2B is a smaller universe. There aren’t as many people researching enterprise business software as there are people buying shoes on a given day. There are even fewer people from companies with more than 5,000 employees researching ERP software for the enterprise. See where I’m going with this? Audiences that are too small to target aren’t much help. Or are they? Search engines use audiences as a signal for targeting ads. Think of an audience as a way to tell Google and Bing who you’re trying to reach. One way to amplify the signal of a small first-party audience is by using similar audiences (also called lookalike audiences). Similar audiences are often 2-10 times bigger than first-party audiences. Here’s an example: The first-party audience only has about 5,000 members – it’s large enough to target but won’t drive much traffic. But the similar audience has anywhere from 10,000 to 50,000 members for search and up to 1 million for display – a much larger reach. Similar audiences are especially helpful for B2B, which tends to have a low audience match rate). We’ve seen strong performance from similar audiences for our B2B clients. Let paid social helpAnother way to create B2B audiences is to use paid social to inform paid search. Paid social is usually used for upper-funnel activity – awareness and consideration. But we’ve used paid social to create audiences for paid search retargeting. The great thing about paid social is that we know a lot about our target audience. We can target based on employer, job title, company size, education, skills and other factors that indicate the user is a good target for B2B. Create a dedicated landing page for paid social traffic for your B2B audience targets and tag it for retargeting. Then target people who visited that page with Google Ads. We’ve done this with YouTube videos too. People who watch a 30-60 minute keynote from a B2B conference make a great audience for follow-up with RLSA or display retargeting. And don’t forget about LinkedIn targeting in Microsoft Ads. Being able to use LinkedIn profile attributes to target is a big differentiator for Microsoft Ads, and it’s especially useful for B2B advertisers. Use micro-conversions as signalsAnother way to create retargeting audiences is to use micro-conversions as signals for intent. B2B has a long sales cycle – usually 12-18 months or longer. No one buys a six-figure business software system in a single visit with a credit card. The process usually involves a lot of research, with multiple touchpoints along the way. Users might follow these steps on the way to purchase:
Each of these actions represents a micro-conversion. You could create audiences for people who downloaded a whitepaper. You could even segment this further by creating audiences based on the type or product of the whitepaper they downloaded if you’re selling multiple products or targeting multiple audiences. Retarget users who downloaded a whitepaper with an offer for a free demo or trial. Then retarget users who signed up for a demo or trial, asking them to contact sales. If you sell to multiple business sizes, you can also start to segment by small business vs. large enterprise based on the content they consumed. Using first-party data is an investment – of time and moneyThe days of simply picking an audience based on in-market traits or affinity groups are numbered. Lazy marketing is soon to be a thing of the past. Now is the time to start building your first-party audiences and think about your buyer journey. Get serious about creating micro-conversions and paid social audiences to reach your target. The post How privacy changes affect B2B paid search marketing appeared first on Search Engine Land. via Search Engine Land https://ift.tt/4IxkygB We reported yesterday the sad news that Bill Slawski has died. It’s less than 24 hours later and no actual obituary has been published (either by a news site or funeral home). Yet, Google’s search results are littered with spammy results. Look at what is ranking on a Google search right now for [bill slawski obituary]: This is a horror, especially for anybody seeking trustworthy information on Slawski. To me, this SERP looks like Google, before the Panda Update, for certain queries where content farms reigned. That’s the easiest way to describe it. A ton of low-quality websites have created thin content with the sole purpose of optimizing it to rank whenever someone searches for an obituary for Bill Slawski. And they are monetizing whatever traffic they get through display ads. What’s worse – there are many of these types of sites. And these sites have one thing in common: the content reads like it was either automatically generated or written (poorly) by people whose first language is not English. Let’s look at some of the sites so you can understand how gross this all is: 1. AReal News The content is pure garbage. Look at this paragraph:
Aside from the obvious content problem, this site looks like it should be in clear violation of Google’s page layout algorithm (aka Top Heavy). Before you even get to the content, you get nothing but ads, ads, ads. And searching for [obituary site:arealnews.com] reveals this isn’t a one-off. It’s a strategy: 2. OnTrend Some of the garbage content:
3. CowdyCactus If this isn’t outright search spam, it’s certainly about as low-quality content as you can publish before reaching that threshold:
In fact, when I turned my ad blocker off to take that screen capture, it was infested with so many ads and redirects to spam I could no longer even view the site. Hopefully, my computer didn’t get a virus. 4. CmaTrends Before we look at this example, make sure you check out this site’s homepage title tag: “CmaTrends « We SELL Entertainment Periodt!” And the opening of their “article”:
I could cite more examples, but you get the point. Google’s new information problem. The quality of this search result is bad. But it goes beyond just Slawski. This is a known issue. For certain new search queries, often there isn’t enough content on the web for Google to rank. So you get a bunch of content that, otherwise, has no reason to have any visibility. Sometimes you also see this after a broad core algorithm update. Suddenly, Google starts surfacing iffy content from suspect sources – as if they hit a sort of reset button. Typically, Google eventually figures it out and more appropriate content returns to where it should be (though not always). The profits of death. Aside from the clearly bogus “news” sites, there are a couple of spammy obituary websites in there – deathobits.com and death-obituary.com. Both are also loaded up with display ads. Including Google ads. Yet this is not a new problem. And it goes far beyond Slawski. In fact, some brands are even helping fund this low-quality content. Marketing Brew published a report in November detailing how spammy sites rip off obituaries and actually end up being monetized by ads from major brands (e.g., Nike, Nordstrom, Zola, Burt’s Bees). Google told Marketing Brew it has:
I’ve reached out to Google to comment on this story. I will update if/when I receive a response. The post Google search results spam for ‘Bill Slawski obituary’ shows the dark side of SEO appeared first on Search Engine Land. via Search Engine Land https://ift.tt/sXSgY2W |
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