MARKETING
Page Experience is Here to Stay: Moz Launches Performance Metrics Suite
![Page Experience is Here to Stay: Moz Launches Performance Metrics Suite Page Experience is Here to Stay: Moz Launches Performance Metrics Suite](https://articles.entireweb.com/wp-content/uploads/2022/01/1642540928_Page-Experience-is-Here-to-Stay-Moz-Launches-Performance-Metrics.png)
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.
Way back in April 2021, I had the honor of announcing a new beta Moz product: Performance Metrics. It arrived just in time for SEOs to track and improve their sites through the anticipated May launch of Google’s Page Experience update. We uniquely offered at-scale tracking and issue identification against Core Web Vital metrics for hundreds of URLs per campaign, rather than the handful of URLs available in competing tools at the time.
Back then, we (correctly) anticipated a minimal initial impact from the update, but even we didn’t foresee Google’s delay of the full rollout until August. However, sites are now seeing a real world impact from Core Web Vitals, as our recent study showed back in October. Google is talking about extending that impact to desktop from February or March 2022 (something that our tool has always allowed you to compare cohesively in one campaign), and it seems likely that the importance of these ranking factors will only increase.
Now is the time, then, for us to bring Performance Metrics out of beta and help our customers prepare for the next stage of Google’s Page Experience update this spring. Today, we’re announcing the full launch of Performance Metrics, including a host of new features and improvements based on the feedback we’ve received from early adopters, as well as our own experts and data.
Sign up for Moz Pro to access the suite!
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What’s new
Many users have already been enjoying the bulk analysis, issue identification, and tailored, tactical advice we’ve been offering in Performance Metrics. However, since the beta launch, customers have consistently asked for automated, scheduled testing of lists of URLs, and displays of page performance over time. This makes total sense to us — tracking improvements to see the fruits of your efforts, and identifying when any issues appear, are both great uses for the tool. As such, we’ve included both of these features in the full launch.
Of course, the on-demand analysis you might have already been enjoying in the beta is still there, but with some UI improvements along the way. In particular, you can now re-test the same page multiple times per day, if you want to take some new changes for a quick spin.
Last but not least, as this tool is no longer in beta, you can now also track all of this alongside metrics like visibility, DA, Spam Score and any and all other Moz Pro data in custom scheduled reports.
Why now?
Core Web Vitals are for life, not just for Christmas. Yes, the update finally arrived in August 2021, but that was only the start of the journey — we can and should expect Google to ramp up the importance of these metrics as they gain confidence in the quality and coverage of their own data, and in the health of affected websites.
There’s also the desktop rollout this spring that I mentioned above. Lastly, there may be two new metrics coming — which we’ll of course be integrating into our product once they’re confirmed — probably relating to smoothness and responsiveness. Google has previously indicated an annual cadence of updates to Core Web Vitals, so as an industry we shouldn’t be surprised by this.
As a reminder, by late last year we were already seeing slower pages suffer in rankings, and Google’s methodology of using CrUX data means that sites will often be judged by their most highly trafficked pages.
Our Performance Metrics tool, even in beta, was designed to help marketers prioritize pages to work on, and then issues to address, within this paradigm — we let you sort pages by traffic or ranking or PA, analyze or track whichever ones interest you without limiting you to one page at a time, then see which pages are failing in which areas, and what specific issues and elements are causing those problems. Which might be leaving you wondering…
How to use Performance Metrics in Moz Pro
When you log into Performance Metrics (Moz Pro -> Campaigns -> Site Crawl), you’ll now see there are two tabs in the overview:
The second tab shows URLs which will be automatically tracked over time. You can add to this list using the same filters and menu that you might be familiar with from the beta. Just scroll down on the first tab, and you’ll see a table like this:
![Page Experience is Here to Stay: Moz Launches Performance Metrics Suite 1642540927 777 Page Experience is Here to Stay Moz Launches Performance Metrics](https://articles.entireweb.com/wp-content/uploads/2022/01/1642540927_777_Page-Experience-is-Here-to-Stay-Moz-Launches-Performance-Metrics.png)
Here you can add URLs in bulk or individually to analyze, track, or perform other actions.
To make things even easier, you can filter the table and charts even further, to include only your top ranking, top traffic, or top Page Authority pages:
![Page Experience is Here to Stay: Moz Launches Performance Metrics Suite 1642540928 541 Page Experience is Here to Stay Moz Launches Performance Metrics](https://articles.entireweb.com/wp-content/uploads/2022/01/1642540928_541_Page-Experience-is-Here-to-Stay-Moz-Launches-Performance-Metrics.png)
Within the tracked tab, you’ll then gradually start to see charts form like this one:
![Page Experience is Here to Stay: Moz Launches Performance Metrics Suite 1642540928 276 Page Experience is Here to Stay Moz Launches Performance Metrics](https://articles.entireweb.com/wp-content/uploads/2022/01/1642540928_276_Page-Experience-is-Here-to-Stay-Moz-Launches-Performance-Metrics.png)
And, when you inspect the individual URLs, you can see their own performance over time, as well as specific changes to individual metrics, and tailored advice on what to improve – down to individual resources or elements that need to be addressed, and jargon-free tips from the Moz team.
There’s more detailed guidance available over at the help section, and of course our customer support team is there for you with any questions.
Focus for 2021
There’s more to SEO than Core Web Vitals, but that doesn’t mean you can take your eye off the ball. Focus on a holistic user experience that will be robust to future metrics and tweaks from Google, and particularly on your high traffic pages that are more likely to be the basis for any judgment cast on your site. Lastly, remember your competitors aren’t standing still — they may even be reading this very blog post and using our Performance Metrics suite. The goal posts march inexorably forth.
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MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
![YouTube Ad Specs, Sizes, and Examples [2024 Update] YouTube Ad Specs, Sizes, and Examples](https://articles.entireweb.com/wp-content/uploads/2024/06/YouTube-Ad-Specs-Sizes-and-Examples.jpg)
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
![Why We Are Always 'Clicking to Buy', According to Psychologists Why We Are Always 'Clicking to Buy', According to Psychologists](https://articles.entireweb.com/wp-content/uploads/2024/05/Why-We-Are-Always-Clicking-to-Buy-According-to-Psychologists.pngkeepProtocol.png)
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
![A deeper dive into data, personalization and Copilots A deeper dive into data, personalization and Copilots](https://articles.entireweb.com/wp-content/uploads/2024/05/A-deeper-dive-into-data-personalization-and-Copilots.jpg)
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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