MARKETING
Ready for S’more? The MozCon 2022 Day Two Recap
Day two of Camp MozCon was everything we expected it to be: more networking, more marshmallows, and more brilliant presentations from the top minds in the industry. Speakers covered the SEO gamut — from research and content creation, to e-commerce, and more!
Not only were the presentations chock-full of insights, but the storytelling had us feeling as though we were all sitting around the campfire. Everyone was dialed in and ready to turn insights into actions.
More Than Pageviews: Evaluating Content Success & Correcting Content Failure — Dana DiTomaso
Dana started the day by making us think: what is the best way to measure content success? And she didn’t just mean which KPIs should we measure, but also how we are going to track those KPIs.
The example she talked about was pageviews, which sounds easy enough. The issue though, is that every time a tab is refreshed (even by tag hoarders) a pageview is tracked. This can very easily skew your data.
To collect accurate data, Dana’s team used Data Studio connected to GA4, which uses events collected through Google Tag Manager. She did this by collecting the publish date, creating a custom formula that collects the publish date, and dividing the pageviews by day. Now the client can truly see how pages are performing without skewed data.
This wizardry was just the tip of the iceberg, though. Dana then went through how to measure whether people are reading your content, what percentage of people who actually see the CTA are clicking it, and more.
As always, Dana closed by reminding us to focus on what is important and ignore what isn’t. Don’t introduce doubt if you don’t have to.
woah – so smart… take the tab hoarders out of your data, cause they’re driving down your conversion rate
via @danaditomaso #mozcon
— Greg Gifford (@GregGifford) July 12, 2022
Trash In, Garbage Out: A Guide to Non-Catastrophic Keyword Research — Tom Capper
Tom’s storytelling reminded us all too well of a situation we despise as SEO: clients focused on head terms. We’ve all had a client who just wants to rank for “flower delivery,” haven’t we? Our solution as SEOs is to create so-called exhaustive lists of metrics and keywords, but Tom argues this is just as useless.
Instead, Tom suggests:
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Capture intent instead of keywords
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Identify true opportunities for click traffic
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Aim for accuracy (pick good tools)
Should you choose to skip these suggestions, it’s likely you’ll end up with overly-inflated and far-from-helpful data. Tom showed us an example of Google Ads data overestimating clicks by a factor of 18x, what happens when a keyword list reports volume data without organic CTR estimates, and that over 15% of searches every day are brand new.
Good keyword research:
1. Focus on quality not quantity
2. Don’t assume rough volume and rank gives clicks
3. Don’t take accuracy for granted
4. Something about a garbage truck not being a garbage truck@thcapper #MozCon— James Wirth (@jameswirth) July 12, 2022
SEO in the Enterprise: Tips and Tricks for Growing Organic Traffic at Scale — Jackie Chu
It’s always a treat to learn from Jackie, and this year is no different. She walked us through how she works with enterprise teams to grow organic traffic. Anyone who has had this goal knows one thing – it takes a lot of convincing. Luckily for us, Jackie shared her solution for gaining buy-in.
First, she identifies the most impactful projects by asking these three questions:
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Does it impact crawling/indexing?
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Does it impact a lot of pages?
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Is it strategically relevant?
After identifying potential projects, it’s time to prioritize them through forecasting and storytelling. Jackie shared her thoughts on three forecasting strategies: top-down, bottom-up, and competitive share forecasting, along with the pros and cons of each one, and how she uses the RICE framework to prioritize projects.
To keep people in your corner after they’ve worked with you, be sure to thank them! Not just privately, but in front of their bosses and colleagues as well. Overthinking and over communicating your wins ensures that the cross-functional teams you work with understand the impact they’ve had through working with you.
Rinse and repeat these 3 steps:
1. Identify the best SEO opportunity
2. Ruthlessly prioritize, forecast, and storytell to get buy-in
3. Share your wins to continue getting support@jackiecchu #MozCon— Moz (@Moz) July 12, 2022
The Future of Local Landing Pages — Amanda Jordan
This is Amanda’s very first MozCon and she spent it rocking the stage talking about local landing pages. Notice the added adjective “landing”? Amanda told us that she sees each local page as a landing page that should convince users to do business with her clients, kind of like a page built for PPC users.
She believes that if a user gets to your local page, they are trying to complete a goal, and it’s up to us to provide the tools they need in order to do so.
The top features included on top local landing pages include:
Aside from offering these tools, moving forward, local SEOs are going to need to pull data from their CRM to speak to the exact pain points of their customers, increase the use of local government statistics, and lean on user-generated content through surveys and polls.
“Users like getting to a page and feeling like they know something about the business AND that the business actually cares about them.” @amandatjordan #MozCon
— Melina Beeston (@mkbeesto) July 12, 2022
How Marketing Data Intelligence Skyrocketed Our B2B Conversions — Tina Fleming
Tina took us down memory lane, and not necessarily in a good way. She reminded us of iOS 14 and the cookie-pocalypse, and how much that sent us spiraling. Tina used this example to assure us: it’s time for us to embrace being data-driven in order to create better user experiences (even when we feel like the data is impossible to collect).
And the best way to ensure you have data you can use is to collect your own! The first place this can be done is by using your CRM, but where the CRM falls off (i.e. unknown users) a data acquisition platform can pick up.
This data will then allow you to create personalized experiences for users. Tina even showed us the example of her company’s website, and how their homepage was optimized to speak directly to the user using the data they already had.
Lastly, Tina told us to focus on collecting the data we can’t collect using public data. If people are willing to share that information, they are much more likely to be sales qualified.
3 tools to get started with this methodology:
1.) CRM
2.) Data activation platform
3.) Personalization toolFind the tools that work best for you & w/each other. @TinaInTheSun #MozCon
— Ruth Burr Reedy (@ruthburr) July 12, 2022
Achieve Accessibility Goals with Machine Learning — Miracle Inameti-Archibong
Asking for help in any situation is hard, which often means the ask isn’t brought to those who can help. For that reason, we feel so grateful to have Miracle at MozCon to remind our industry of the importance of site accessibility.
She reminded us that some of the tasks that we find to be “less important” for SEO are actually extremely important for site users. For instance, one-third of all images have questionable or repetitive alt text — despite the fact that we know how to monitor alt text, and how to change it for the better.
To be sure you aren’t contributing to the problem, Miracle equipped us all with the pillars of an accessibility audit. Your website should be:
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Perceivable
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Operable
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Understandable
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Robust
She also shared tools that help you with this audit, and demonstrated why using a screen reader yourself to assess your content is the best way to understand how your content will be consumed by a user who needs one.
When your website isn’t accessible, you are preventing people with disabilities from becoming independent. Content organization matters. Alt text matters. Don’t skip these things because they seem like “lower priority” or “not important” #mozcon
— Angie Carson (@Swinging4Mars) July 12, 2022
How True Leaders Transform a Marketing Department into a Dream Team — Paxton Gray
You’re a badass marketer, which means you have likely — will likely — be asked to lead a team of marketers. Here’s the thing, though: our job changes every day, and there are very few resources to become educated on that job.
Due to this lack of education, once you become a part of the marketing leadership team, the fear of failure can become real. To overcome that fear, focus on clear, attainable goals. This may require you to dig a bit deeper than you’re used to and ask more questions, but it will help you to not just find more happiness in your role, but to help your clients more as well.
Once you have a clear focus to work toward, it’s time to close the feedback loop. Identify everyone involved with your campaigns and ensure they have access to all of the data. Doing so allows your team to work together more cohesively.
Lastly, remove the barriers to beneficial risk-taking by openly sharing the burden of campaign outcomes. Let your team know you are there with them, and you’re not going to let them fall.
People on a team function as vectors. As leaders, our job is to get those vectors aligned and pointing the same way. @PaxtonMGray #MozCon
— Ruth Burr Reedy (@ruthburr) July 12, 2022
Myths, Misconceptions, & Mistakes (Lessons Learned from a Decade in Digital PR) — Hannah Smith
Hannah used this talk to review some of the things she has said over the years. The first thing: “you don’t need luck, you just need to work really hard.” Which sounded nice, but she has come to realize that much of her success can be attributed to luck.
Hannah found that she just tended to downplay the role of luck, as she was afraid it made her appear as though she didn’t know what she was doing. She then reviewed a mistake she made which was simply stopping at “study what worked.” Instead, she admits the saying should have finished with “and find out why it worked.”
When it comes to PR, ask yourself these six questions:
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What stories were told in the pieces?
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Did the coverage of the piece feed into something else that was happening in the news cycle?
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Were there waves of coverage that led to the success of the piece?
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What emotions did this story invoke?
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What vertices covered the story?
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Did the piece get coverage in multiple countries?
She then closed by sharing a piece of misinformation she has been fueling: that it’s normal to be wildly successful. It’s not. Hannah assured us that only 10% of the pieces she’s been part of have generated notable results.
Humans are great at spotting patterns. We’re less great at figuring out whether or not patterns are meaningful. @hannah_bo_banna #MozCon
— Ruth Burr Reedy (@ruthburr) July 12, 2022
E-Commerce SEO Horror Stories: How to Tackle the Most Common Issues at Scale and Avoid an SEO Nightmare — Aleyda Solis
Aleyda brought so much energy to the stage as she spoke about e-commerce SEO. No matter the amount of tools we have access to as e-commerce SEOs, it’s still true that our job is really hard, which makes it very easy to overlook detrimental mistakes.
The first mistake Aleyda covered was allowing any and all internal search results to be indexable. This can create duplicate or thin content, and an overall poor user experience that will hurt your bottom line. While this is scary, the solution isn’t terribly complex, you could just canonicalize or 301 redirect these links to relevant facet pages.
Another mistake she discussed was poor unique descriptive content on product pages. The consequence of this mistake can be hundreds or even thousands of “crawled, not indexed” pages in Search Console. Google marks these pages as duplicate or thin content and therefore deem them unworthy of indexing.
To combat this problem you will want to add unique images, use descriptive language in your copy, incentivize reviews on product pages, and use structured data. By putting this effort in, Google will recognize that the product is unique and reward the page by indexing it. Alternatively, you may not want to index each page, instead you may want to focus on those facet pages.
These are just two of the issues Aleyda covered in her talk, but if we tried to cover all seven as in-depth as she was able to, we would be here all day. If you want to see all seven horror stories and how to defeat them, pick up the video bundle and watch her talk. Believe us, it’s worth it for this talk alone.
Anybody in e-commerce taking notes? This is the second person to talk about cannibalization on your sites. @aleyda bringing the brutal truth! #MozCon
— Jason Dodge (@dodgejd) July 12, 2022
There is still one day left!
Can you believe MozCon is two-thirds of the way complete? We certainly can’t, but we aren’t letting anyone leave camp without enough new skills to fill their vest. Come back for day three to learn more about SEO, marketing, and growth.
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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