MARKETING
12 Local Search Developments You Need to Know About from Q3 2023
The author’s views are entirely their own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.
The previous quarter in local search has felt slightly more mellow than the first two of this year, but industry experts have definitely made some noteworthy discoveries, and Google has made one major move.
With the holiday shopping season up next, now is the time to examine any emerging opportunities or learn about new rules, before things get too busy for the local businesses you market. Let’s hop right in!
1. No second reinstatement chances from Google
Ben Fisher wins the quarter with his detailed breakdown of the biggest Google local news. Already launched in the EU and coming to us all globally at an unspecified date is a set of changes to the Google Business Profile reinstatement process.
The main improvement Ben highlights is somewhat more transparency in the process, offering some clues as to why your listing was suspended. The biggest fly in the ointment is that you have just one chance to make this application for reinstatement. Ben shares these two useful links:
Google may continue to tweak this process in the coming months. In the meantime, if a listing you’re managing gets suspended, you’ll be better equipped to handle reinstatement if you’ve bookmarked Ben’s article.
2. Try out “&near=[ZIP]” remote location emulation
Take 60 seconds to watch Chris Long’s useful video on emulating zip code location by editing the URL of your query. Chris offers this process:
1. Copy the ZIP code of the geography you want to emulate
2. Search for your target query (e.g.. “fence repair near me”)
3. At the end of the URL, append “&near=[ZIP]”
4. Click enter and analyze the local search results
While it’s important to remember that Google’s results can be hyperlocal to the searcher, meaning that any emulation tool or tactic may not exactly represent what a unique searcher sees as they move about town, try Chris’ tip next time you want a general idea of what rankings look like in a remote location. Fast and quite fun!
3. Review tests, spam, and warnings
We’ve got three different items of note in this category this quarter.
1. Inline reviews test
Mike Blumenthal has captured this interesting test in which reviews do not stem from individual reviewers but from third parties like Best Company and Home Advisor. Historically, Google has sometimes showcased third-party reviews in sections labeled “Reviews from the web” or similar lingo. But, this test mixes platform reviews right in with customer’s direct reviews. Keep your eye out for this test in your area.
2. No lasting consequences for Google review spam
To understand why Joy Hawkins calls reporting review spam to Google “as about as effective as trying to teach a goldfish to play piano,” watch her video on the frustration she experienced in repeatedly reporting purchased reviews. Joy documents how each report resulted in some reviews being removed from the errant company’s listings, but then they simply bought more, creating an endless cycle of tomfoolery. If Google doesn’t ban brands that violate guidelines by buying reviews, consumers will continue to be taken in by unearned high-star ratings, and the local search results will remain untrustworthy. On that note…
3. Spammers, en garde in France!
We take our hats off again to Mike Blumenthal for sharing this screenshot of a French reviewer being warned that their review isn’t being posted because it may violate Google’s policies. It remains to be seen whether this is EU-wide (if you know, please @ me), but it certainly doesn’t seem to be the case yet in the US, where we’ve gotten into a sad pattern of lagging behind Europe in anything regulatory-related. Wouldn’t it be fantastique if Google would roll this out globally, and publish such warnings not just to the reviewer, but on the profiles of brands that have been repeatedly caught violating review guidelines?
4. Interesting GBP Developments
We’ve got several wondrous things to ponder in the world of Google listings this past quarter, including:
1. Footnotes in overviews?
I don’t often feature myself in these quarterly roundups, but look at this weird thing I came across in the local packs! My Twitter (ugh, ‘X’) thread compiles a bunch of instances I saw of what appear to be numbered footnotes within overview descriptions within the local pack. Look at this example, where the numbers go as high as 9:
And here’s another curious one on GBP that claims to be linking to a menu:
The trouble is, none of these footnotes are actionable. They don’t link to anything, and they aren’t explained. There appears to be no point to them, so they almost feel like a bug. But… they do have a familiar tone. Don’t these sound rather like AI of the kind we’ve been previewing in experiments like SGE? I’m wondering now if what I spotted presages an AI/local mashup ahead. Keep watching!
2. You can’t list services as GBP products anymore
I think we all share Claire Carlile’s disappointment that you can apparently no longer add services as GBP products. Until recently, it appeared fine to do so, but that’s Google local search for you: a dynamic environment in which today’s best practice is tomorrow’s bad hair day (which is why reading columns like this one becomes necessary just to keep up with the changes). I wish Google would reverse course on this. For SABs, their services are what they sell; they are their products.
3. Getting the “Provides” local justification to show on your listing
Speaking of SABs, who wouldn’t want this awesome Provides local justification to appear on their local pack listings, catching the eyes of potential customers? I don’t know what wizardly work my friend Colan Nielsen has been up to lately in the deep recesses of GBP, but when a Local Search Forum member asked why she couldn’t get this justification to show up on her listing, his reply got my attention. Colan indicated that if you want that justification to appear, you need to contact Google support to ask them to completely remove the “on-site services” attribute from your profile and that this can help you get the Provides option, instead. That was news to me, and I’d love to hear more stories like this.
4. New Google policies bring some transparency to formerly-secret processes
This document makes public Google’s formerly secret policies on why and when they might suspend an account, and I highly recommend watching Near Media’s full commentary on what we’ve learned from this disclosure. I quote:
“Google rolled out a number of new policy statements regarding the rules guiding suspensions and content takedowns affecting Google Business Profiles (GBP). These guidelines, long the working rules that affected listings and listing content, now make explicit how user accounts, and abuses affect whether a business continues to have access to any given listing or whether that listing will be removed from Google. While this increased clarity is welcome, the devil is in the details.”
Local search depends on authenticity, and I warmly welcome any public declarations of this kind by Google.
4. Grab bag ‘o other local finds
1. What’s your blue zone?
Check out what Andy Simpson noticed when looking at the map for “nearby searches”: an unusual blue zone none of us seem to have seen before. It indicates both a walking and driving distance, and as Andy said, could be useful in helping you choose a new location for a business, given Google’s penchant for user-to-business proximity. How great to be running a business that customers can walk to.
2. What are you mentioned in?
While not specifically local, getting this “Mentioned in” treatment captured by Brodie Clark could be good for any local business, especially if the recent loss of FAQ-rich results impacted you. Google appears to be testing different versions of this result, and it strikes me as a reminder of how the Authoritativeness signal of E-E-A-T works in action. Who is mentioning your brand, and how can you get more mentions from top sources?
3. Is your Performance data spooky enough for Hallowe’en?
We’re finishing up with a notable case study from Joy Hawkins that was kicked off when an attendee of a LocalU event asked why his storage client’s GBP Performance section was showing him ranking for restaurant queries. Dismissing the notion that people safeguard leftover meatloaf in storage units, and getting no insight directly from Google on the mystery, Joy posited and confirmed a theory: the client was participating in the paid Performance Max Google Ads program, which gives you a little branded pin on Google Maps… often for queries that are totally unrelated to your business.
As Joy explains, this Performance Max data then transfers over to your GBP Performance stats, convoluting paid with organic info. Joy was able to confirm that a branch of this business not participating in the Performance Max program was not getting this weird data, giving good credence to her theory. She also offers a warning that you shouldn’t immediately blame SEO if you see performance drops being reported to you by Google – it could be coming from your paid ads.
And that’s it for Q3 in local search marketing. Now we’re headed for the wild and wonderful holiday shopping season, my friends. Please, come back in January to see how it all played out!
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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