MARKETING
Time to Shine: MozCon 2023 Community Speaker Pitches Now Open
MozCon is bringing the Future of Search to Seattle this August 7-8, and we’re excited to announce the return of our annual call for up-and-coming community speakers!
Every year, we take great pride in reserving space on our stage exclusively for new voices. Are you the person that everyone in your network looks to for digital marketing advice? Perhaps you’ve been honing your voice on podcasts or blogs, all the while dreaming of stepping onto the big stage to share your innovative ideas? Now’s your chance to submit your pitch for the opportunity to join industry leaders on the MozCon stage in front of 1,500 of your peers. (No pressure!)
Not sure what a community speaker is?
At MozCon, we have a speaker selection committee that identifies practitioners at the top of their professional field with a mean speaking game. But these spots are by invite only, and we know the community is bursting at the seams with hidden gems ready to share groundbreaking research, hot tips, and SEO tests that drive results.
Cue our MozCon community speaker program!
We’ve reserved two 15-minute community speaker slots throughout our conference for fresh faces to shine on the big stage. We encourage anyone in the SEO community to submit their best and most exciting presentation ideas for a chance to be selected as a community speaker at MozCon. Not only are these sessions incredibly well-received by our attendees, but they’re also a fantastic way to get your foot in the door when it comes to the SEO speaking circuit.
Interested in pitching your own idea? Read on for everything you need to know:
How to submit
To submit a pitch, fill out the community speaker submission form. Only submit one talk! We want the one you’re most passionate about. Talks must be related to digital marketing and be a topic you can cover in 15 minutes.
[Pro tip: Keep it actionable and be sure to include 3-5 key learning outcomes the audience will come away with from your session in the pitch.]
Submissions close on Tuesday, February 28th at 5pm PDT — no exceptions!
If chosen, you’ll be required to present your talk in person at MozCon in Seattle, WA on August 7-8, 2023. Incomplete submissions will not be considered, and all decisions are final. All speakers must adhere to the MozCon Code of Conduct.
If you submit a pitch, you’ll hear back from us regardless of your acceptance status, so please be patient until you hear back — we’ll work hard to make our decisions as quickly as we can! Please note that due to the volume of submissions we typically receive, we’re unable to provide specific feedback on individual applications.
What do speakers receive?
As a community speaker you will receive:
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15 minutes on the MozCon stage for a keynote-style presentation
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A free ticket to MozCon (we can issue a refund or transfer if you’ve already purchased yours)
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Travel and accommodations during MozCon
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Support and feedback as you build your final presentation deck to make sure you deliver the talk of your life on our stage.
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And a few more surprises…
How we select our speakers
We have an internal committee of experienced Moz team members, speakers and subject matter experts that review every pitch. We analyze each topic to make sure there’s no overlap and to confirm that it’s a good fit for our audience and conference focus – for 2023, our content theme is The Future of Search.
Next, we look at the entirety of the pitch to help us get a comprehensive idea of what to expect from your talk on the MozCon stage and how it might be received by the audience. This is where links to previous decks, content, and videos of past presentations are helpful (but aren’t required).
Here’s how to make your pitch stand out:
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Keep your pitch focused on digital marketing. SEO topics are great but we also love topics that compliment or sit adjacent to SEO. The more actionable the pitch, the better.
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Be focused and concise. What value does your talk provide? We want to hear the actual takeaways our audience will be learning about and why it’s important — not just a vague reference to them. Remember, we receive a ton of pitches, so the more clearly you can explain the tactical steps and learning objectives for the audience, the better you’ll stand out.
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Do your research! Review the topics presented at past MozCons, on the Moz Blog and in our Whiteboard Friday videos for a sense of what resonates with our audience— we’re looking for fresh, new presentations that round out our agenda to add to the stage.
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Brush up on how to prepare for speaking.
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No pitches will be evaluated in advance, so please don’t ask 🙂
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Using social media to lobby your pitch won’t help. Instead, put your time and energy into the actual pitch itself!
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Linking to a previous example of a slide deck or presentation isn’t required, but it does help the committee.
Leading up to MozCon
If your pitch is selected, the MozCon team is here to support you along the way. It’s our goal to make sure this is your best talk to date, whether it’s your first time under those bright stage lights or you’re a seasoned speaker who feels perfectly at home in front of a big crowd. We’ll answer any questions you may have and work with you to deliver a talk you’ll be proud of. Here are just a handful of ways that we’re here to help:
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Topic refinement
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Helping with your presentation title and description
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Reviewing your presentation outlines and drafts
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Providing plenty of tips around best practices — specifically with the MozCon stage and audience in mind
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Comprehensive show guide
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Being available to listen to you practice your talk
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Reviewing your final deck
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A full stage tour on the Sunday before MozCon to meet our A/V crew, see your presentation on the big screen, and get a feel for the show
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An amazing 15-person A/V team to support your presentation every second it’s on the big screen and beyond
We’ve got our fingers crossed for you. Good luck!
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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