MARKETING
12 Local Search Developments You Need to Know About from Q4 2022
The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.
Hard to believe but neither Q1, nor Q2, nor Q3 can equal Q4 for the activity we’ve seen in local search, and the quarter isn’t even quite over yet! For all I know, Google could celebrate New Year’s Eve by renaming Google Business Profiles “Google Plus Places My Business Profiles Merchant Experience Listings” and we would just have to roll with that, too.
There has been so much going on, it’s small wonder if you haven’t caught every development, but here’s a list of some of the most interesting ones you should be aware of as we look towards 2023. We’ve got one new interface, two awful bugs, three new GBP features, four review developments, several guideline updates … all that’s missing is the partridge in the pear tree!
The new merchant experience breaks upon us like a thunderclap
Watch this space for a vast post from me on the NMX in the next few weeks, but for now, you need to know that the editing via the old Google Business Profile Manager dashboard is a thing of the past and you’ll need to manage your data in the new in-SERP interface that’s been dubbed the “New Merchant Experience”.
About a year ago, Google warned us that this was coming, but it must be said that they also intimated that this change would only impact single location businesses. In Q4, a hue and cry understandably went up from the local SEO community when everyone – including multi-location listings managers – woke up to find themselves summarily escorted out of the old dashboard and into the SERPs for management.
The good folks at Bright Local, Streetfight, and Online Ownership have done a great job of early reporting on the frustrations and discoveries surrounding the NMX, and for the most part, have concluded that if you click around enough within the new interface, you will relocate most features. A few new surprises have been noted so far. For example, Q&A is now part-and-parcel of the interface instead of being treated as a separate instance:
And check out Khushal Bherwani’s tweet capturing Google tagging the previous location of a business under the “locations” tab of the NMX when the company’s location has been changed.
We can get used to the NMX. We should also expect changes to it in the new year, but at the moment, my most interesting industry takeaway from the deprecation of the historic dashboard is that listings management software just became more appealing. BrightLocal’s informal poll captures how clunky many users will find the act of trying to manage listings amid the clutter of the organic SERPs:
In recent years, there has been some debate about whether local business should pay for listings management software. Google’s latest move is making experts like Mike Blumenthal and Carrie Hill say “yes” if you’ve got multiple listings and require the calm and quiet organization of a dedicated listings management dashboard instead of the awkward mess of the NMX.
Google bugs only an entomologist could love
David Mihm captures some of the industry angst many are feeling right now as a result of multiple Google bugs making work needlessly difficult for us in recent months. For the record, I love and appreciate all insects, but Google’s listing suspension spree has been about as fun as finding potato bugs in one’s bathtub. When even the smallest of normal edits to listings (like writing a post or editing a description) results in suspension, it can make local SEOs and local business owners very leery of keeping their listings updated:
Fortunately, about one month after reports of suspensions began flooding fora, Joy Hawkins announced the good news that Google had apparently resolved this bug.
This is a good time and place to mention Amy Toman’s reinstatement request tip:
And also, that Colan Nielsen spotted what appears to be a new notification from Google in the NMX of how long it should take for your edits to be reviewed:
Meanwhile, a second bug began chasing us all around the local picnic table in the form of a big wave of review loss. If you’ve recently lost a ton of reviews, Mike Blumenthal has done outstanding investigative reporting at Near Media on this latest aggravation, including his finding that Google had been auto-updating Google Business Profiles and changing their CID numbers right before reviews were thrown out. As he says,
“Changing the CID and losing reviews with a Suggested Edit update is a new and disturbing bug…You should always capture and store your Google CID and Place ID somewhere safe. Gatherup’s Google Review Link Generator Chrome extension helps you get those numbers easily as does Pleper’s free Google CID converter.”
I also highly recommend reading Mike’s article examining the difference between a review bug and a review filter and outlining steps you can take in the wake of review loss.
New Google features we don’t dislike
Barry Schwartz captured a new feature test that several people had noticed in which a speaker icon reads out the name and category of the local business. I’m not sure where Google is headed with this, but I am a fan of audio features as an alternative to too much screen time.
Stefan Somborac notes a nifty feature, referenced in this Google help doc, that lets dining establishments select their preferred menu. Also new for restaurants, Abner Li wrote up the “Nearby Dishes” US rollout from Google that can return a carousel of local options to you when you search for something like “pho near me”. I have yet to see this feature in the wild, but Abner’s article has screenshots.
Good review things!
Darren Shaw was jubilant at finding something truly new in local SEO – this time, a notation of the number of times a Google reviewer profile had published reviews in a specific city. This sparked a great discussion between Greg Sterling and Mike Blumenthal as to whether this signal will actually boost the authenticity of Google-based reviews, or whether location is too easy to spoof. I like this feature because it adds some transparency to the fact that Google is tracking your location when you leave a review – which might come as a surprise to some users. Perhaps this might be a minor deterrent to some forms of review spam?
Next up, an amazing find from Christina LeVasseur Brodzky for the hospitality industry of Google quantifying the positive and negative sentiment in association with place topics within reviews. In her example, 72% of reviewers favorably mentioned the bar at a hotel, while 17% were not so favorable. This rollout showcases the deepening levels Google is reaching in sentiment analysis.
And to round up review developments, Q4 saw the publication of two major review studies. Moz’s own, The Impact of Local Business Reviews on Consumer Behavior will take you through three chapters of insights into the habits of review readers, review writers, and successful owner responses based on a large-scale survey. Meanwhile, the good folks at SOCi have a gated report on The State of Google Reviews based on an analysis of nearly five million reviews. Also, the team over at Sterling Sky has been publishing a series of small and interesting studies on the impacts of review recency, number, text, and diversity on local pack rankings. If Google will just stop accidentally deleting local business reviews and let us get on with things, all of these reports will seriously power up your reputation strategy for 2023.
Guideline updates should always be noted
In the aforementioned Moz review survey, we learned that the next step 51% of consumers take after reading reviews will land them on local business websites. Given this, it’s quite relevant to local business owners and marketers that Google has replaced its historic Webmaster Guidelines with the overhauled, rebranded Google Search Essentials. This would be a good time to read through the refreshed guidelines to be sure your website is being understood by people and search engines alike.
And finally, Colan Nielsen took note of Google adding a stern warning against review gating back into their Prohibited and Restricted Content guidelines. In sum, don’t ever ask customers to specifically leave you a positive review, don’t use software that weeds out negative sentiment, and if you publish first-party reviews on your own website, don’t show only the good stuff. Be honest and authentic, and you should be fine.
And that puts a bow on local SEO 2022! I want to thank everyone who has read this new quarterly series this year and who has tweeted it, blogged about it, included it in your newsletters, and discussed it on your podcasts. Warmest gratitude, as well, to each of the local SEO community members giving time every month of every year to freely sharing your discoveries with all of us. I hope to continue this series in 2023 and to keep learning local with all of you!
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
Introduction
With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.
Types of YouTube Ads
Video Ads
- Description: These play before, during, or after a YouTube video on computers or mobile devices.
- Types:
- In-stream ads: Can be skippable or non-skippable.
- Bumper ads: Non-skippable, short ads that play before, during, or after a video.
Display Ads
- Description: These appear in different spots on YouTube and usually use text or static images.
- Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).
Companion Banners
- Description: Appears to the right of the YouTube player on desktop.
- Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.
In-feed Ads
- Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.
Outstream Ads
- Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.
Masthead Ads
- Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.
YouTube Ad Specs by Type
Skippable In-stream Video Ads
- Placement: Before, during, or after a YouTube video.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Action: 15-20 seconds
Non-skippable In-stream Video Ads
- Description: Must be watched completely before the main video.
- Length: 15 seconds (or 20 seconds in certain markets).
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
Bumper Ads
- Length: Maximum 6 seconds.
- File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
- Resolution:
- Horizontal: 640 x 360px
- Vertical: 480 x 360px
In-feed Ads
- Description: Show alongside YouTube content, like search results or the Home feed.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Headline/Description:
- Headline: Up to 2 lines, 40 characters per line
- Description: Up to 2 lines, 35 characters per line
Display Ads
- Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
- Image Size: 300×60 pixels.
- File Type: GIF, JPG, PNG.
- File Size: Max 150KB.
- Max Animation Length: 30 seconds.
Outstream Ads
- Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
- Logo Specs:
- Square: 1:1 (200 x 200px).
- File Type: JPG, GIF, PNG.
- Max Size: 200KB.
Masthead Ads
- Description: High-visibility ads at the top of the YouTube homepage.
- Resolution: 1920 x 1080 or higher.
- File Type: JPG or PNG (without transparency).
Conclusion
YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.
To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.
Dig deeper: Salesforce piles on the Einstein Copilots
Salesforce’s evolving architecture
It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?
“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”
Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”
That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.
“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.
Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”
Let’s learn more about Einstein Copilot
“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.
For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”
Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”
It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”
What’s new about Einstein Personalization
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?
“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”
Finally, trust
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.
“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”
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