MARKETING
Protect the Hours of Operation on Your GBP from Unwanted Google Edits
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.
Image credit: Bart Maguire
Over the next six months, Google is going to employ machine learning and AI to alter the hours of operation on twenty million Google Business Profiles as part of their project of creating a “self-updating map”. Some experts estimate that this is roughly one-fifth to one-sixth of all GBP listings, meaning the chances are strong that you or one or more of your clients could experience these edits.
Google has good reason for pursuing accuracy in their local index, but local business owners have even better reason to be on top of this announcement and proactively safeguard the validity of their own data. Today, we’ll show you what to do to take charge on these vital listings which, while they belong to Google, represent your business.
Why is this happening and is this new?
Google is right in observing that the chaos of COVID-19 has affected the accuracy of their local business index. Updating GBP hours to reflect changes may not be at the top of the to-do lists of business owners struggling with so many challenges.
However, Google’s description of how they plan to alter business hours is raising some alarm, due to the peculiarity of their disclosed methods. Some processes are sound. For example, Google mentions use of Duplex to actually phone business owners directly to ask what their current open hours are, which makes excellent horse sense. Additionally, asking Local Guides to validate this information could also help if an owner is unreachable, for some reason, and the guides being tapped are civic-minded instead of just playing for points. All fine and good.
Where we get into murkier waters is in Google saying they will use the hours of other related local businesses to “predict” what the hours should be for the business you are marketing. The example they use is determining what the hours of Liam’s Lemonade Shop should be by looking at the hours of other nearby lemonade shops. In other words, if Larry’s Lemonade Emporium is open from 9-5, Google assumes that Liam’s Lemonade Shop shop should be, too, which will come as a surprise to him if he runs a late night citrus spot. I’m not the only one finding Google’s logic less than exemplary on this.
Another process Google mentions is that of deriving information from Street View, which I am dubious about, given that many places I visit via this service have not been updated in more than a year, and in some cases, in more than a decade:
If Google’s thinking is that harried business owners have not had the free time necessary to keep their hours updated throughout the past two years, then trying to glean this information from random snapshots in time of whenever a Google vehicle last passed through town seems like a rather fuzzy solution. The hours of your business in 2022 may be quite different from what they were a year ago, or five years ago.
If some of Google’s ways and means accompanying this big announcement have a familiar ring to them, it’s because what they are describing is not, in fact, totally new. Since the beginning of local search history, Google has crowdsourced information and implemented it in their listings, and all of that time, local SEOs and local business owners have been suggesting that this is not a good substitute for getting information directly from the companies Google is representing and monetizing via their system. We basically have to view this development from Google as an acknowledgement of three things:
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Your listings belong to Google.
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Google has never reached the level of direct local business owner engagement they actually need to maintain the quality of their index.
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In the absence of this, they substitute crowdsourcing and technology in hopes of achieving enough accuracy to maintain a certain degree of public trust necessary to be able to keep monetizing SERPs and having them seen and used.
So, take a deep breath. This is the Google we already know, putting a high tech spin on a historic communications failure, but don’t overlook this announcement. It’s a strong message from the search engine that you have to stay on top of your own listings if you don’t want Google to completely take over and edit your data based on random information. Fortunately, there are specific things you can do to take charge!
How to proactively protect your GBP hours
Here’s a short list of your five best options for signaling to Google that, yes, you are staying on top of your own hours and don’t require assistance.
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Be sure the hours of operation on your website are accurate. Google says this is one of the places they investigate.
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Sorry for the pain-in-the-neck, but if you manage your listings manually, you now need to regularly check all of them to see if Google has altered their hours. I’d recommend checking at least every month (as if you don’t already have enough to do). Moz Local customers have a much easier option. Just check the Profile Suggestions section of your dashboard to see, at a glance, whether Google or anyone else is trying to edit your hours, even if you have hundreds of listings. Being alerted when data changes are suggested should provide so much peace of mind, and you can accept or reject edit suggestions. Whew!
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Thirdly, take some time this week to edit your hours, even if the edit is small. For example, you could go into your listings today to set special hours for the winter holidays in advance, proving to Google that you are well aware of your own schedule and that your hours of operation are not neglected.
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Remember our recent discussion of the QRG and how Google employs human quality raters to get a sense of your business from what others are saying about it? Be sure all of your local business listings across your local search ecosystem are up-to-date with correct hours (another thing Moz Local makes so much easier!) so that quality raters aren’t encountering complaints from customers who came to your business and found it closed when it was listed online as being open for business.
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Finally, for brick-and-mortar brands, do step outside today and be sure the hours displayed on your windows, doors, and street level signage are accurate, just in case a Google Maps Car or a local guide is heading your way.
Google is telling us, yet again, that local business listings aren’t a set-and-forget asset
A local SEO myth that I see surfacing frequently is that you can build out your listings and then forget about them. This is simply not true! Ongoing, active management of all of your listings has always been essential for three core reasons:
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Incorrect information on neglected listings has been proven to lead to negative reviews from inconvenienced customers, and negative reviews undermine conversions/transactions. If your real-world hours change and you don’t update your online listings across the local search ecosystem, customers will complain in reviews and the low-star rating they assign you will influence the impressions and actions of other potential customers. Meanwhile, remember that wrong hours in one place can then be distributed to multiple local business listing platforms and apps in the absence of active management. Customer care is the number one reason why you can’t neglect your listings.
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It isn’t just Google which can decide they know better than you about key fields of your listing. Any member of the public, including competitors and spammers, can suggest edits to your profiles that you will be unaware of if you are not paying attention.
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It’s an outdated perspective to view local business listings as static entities. Year-over-year, Google Business Profiles, in particular, are becoming increasingly interactive and transactional. Competitive local businesses must have a solid strategy for continuous management of photos, reviews, Q&A, messaging, bookings, shopping and more. Far from being a one-and-done scenario, listings management is central to local business operations.
Given that Google shows no signs of ceding total control of listings to business owners, your best strategy is to take as much charge as you can and be as proactive as possible in publishing dynamic information to your listings. With Google’s latest announcement fresh in all our minds, today might be a good day to check out Moz Local to simplify your local to-do list.
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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