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Announcing Our MozCon 2022 Community Speakers!

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Sneak Peek: The Initial MozCon 2022 Speaker Lineup

High fives and fist bumps for each and every person who took the time to submit pitches for this years’ community speaker spots!

Our selection committee read, watched, and researched, whittling things down to a shortlist of top contenders and then read, watched, and researched some more to determine if a potential speaker and their talk would be a perfect fit for the MozCon stage. We take lots of things into account during our review, but ultimately there are three main factors that determine our final selections:

  • Strength of the pitch (e.g., value, relevance to the audience, etc.)

  • Can the content reasonably be delivered in the time allotted?

  • Does it fit with overall programming and agenda?

After much deliberation, we settled on seven (yes, we added a seventh) community speakers that we’re confident are going to be a great addition to the MozCon Stage.

Grab a seat and see for yourself!

Ready to meet your MozCon Community Speakers?

Chris Long (he/him), VP of Marketing, Go Fish Digital

Chris is the VP of Marketing for the Go Fish Digital team. He works with unique problems and advanced search situations to help clients improve organic traffic through a deep understanding of Google’s algorithm and web technology.

Talk: Advanced On-Page Optimizations

Take your on-page optimizations to the next-level using advanced tactics for one of the most common SEO tasks. This presentation goes beyond simply adding keywords to show how you can utilize tools such as IBM’s Natural Language Understanding to find semantic entities of competitor pages, how Google’s EAT guidelines apply to content, and what actionable steps you can take to improve content, perform on-page content experiments, and measure the impact of those tests.

Debbie Chew (she/her), SEO Specialist, Dialpad

1648716168 651 Announcing Our MozCon 2022 Community Speakers

Debbie Chew is an SEO Specialist at Dialpad with a focus on content and SEO. With over eight years of experience in digital marketing, she’s passionate about link building and helping other marketers in this and other areas of SEO.

Talk: How to Capitalize on the Link Potential of a Research Report

There are many types of link magnets, but there’s one that’ll never go out of style: data-backed research reports. When done well, you’re creating a piece of content that helps your E-A-T, drives backlinks, and is genuinely interesting content for your target audience. This talk will cover the different steps needed not just to create a research report, but to create one that can get links.

Emily Brady (she/her), SEO Consultant

1648716168 773 Announcing Our MozCon 2022 Community Speakers

Emily has worked in the SEO industry for 10 years as an individual contributor and team lead in both agency and in-house roles. Her focus includes content, local, schema, and on-site SEO — all of which she’s executed for small and enterprise businesses alike.

Talk: Get Your Local SEO Recipe Right with Content & Schema

Local SEO can be so much more than off-site listings, so let’s talk about it! By using content and schema on local landing pages, businesses can create unique value that satisfies customers and search engines.

Karen Hopper (she/her), Performance Marketing Strategist, Razorfish

1648716168 293 Announcing Our MozCon 2022 Community Speakers

Karen brings a data-driven perspective to everything she does, from testing to creative, email to social media, advertising to websites to text messages. She spends her days helping clients understand their data, and A/B testing just about everything.

Talk: Beyond the Button: Tests that Actually Move the Needle

In a world that has a million different options for every creative element… where do you start? How do you know this or that element is where you’ll see an impact big enough to make a difference for your bottom line? This is the number one question CRO strategists get asked, and the answer every time is: it depends! This session will walk through how to understand your testing opportunities, generate test ideas, and measure your results with scientific accuracy.

Paxton Gray (he/him), CEO, 97th Floor

1648716168 625 Announcing Our MozCon 2022 Community Speakers

Paxton Gray serves as the CEO of 97th Floor, the team behind award-winning work for mid-market to enterprise clients like EOS, Google, Celebrity Cruises, AT&T, and Salesforce. He has been building agency marketing teams for 13 years.

Talk: How True Leaders Transform a Marketing Department into a Dream Team

There are hidden, structural factors holding stellar marketers (and their teams) back‚ and it’s not their fault. Discover what these factors are, how to root them out, and how to help your existing team members reach their potential.

Petra Kis-Herczegh (she/her), Solutions Engineer, Yext

1648716169 380 Announcing Our MozCon 2022 Community Speakers

Talk: Things I Learned from Sales Teams that Every SEO Should Know

Whether you’re trying to build a business case or get buy-in for your SEO project, some of the core challenges will come down to the same thing: How well can you sell it? As SEOs, we often forget that even though we spend our day-to-day analyzing data and optimizing content and websites for bots, at the end of the day, we are working with human beings — and some of those people have decision making power over what we can and can’t achieve in our roles. This is where learning a good set of sales skills becomes crucial. In this talk, Petra will explore some of the key skills and methods sales teams use, and how you can apply these to your SEO work. 

Tina Fleming (she/her), Senior Brand Strategist, Designzillas

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Tina Fleming, Sr. Brand Strategist at Designzillas, is a level 20 inbound marketing mage with questing experience in conversion marketing and SEO. Her passions lie within the realm of unifying digital strategies, clarifying brand messages, and being ferocious.

Talk: How Marketing Data Intelligence Skyrocketed Our B2B Conversions

If you want to geek out on data, you’ve come to the right session. And we’re not talking about Google Analytics or your plain ol’ CRM data. We’re talking about de-anonymizing your website traffic, providing one-on-one personalized user experiences, shortening your lead forms without missing out on valuable information, and doing everything you can to get to that SQL. In this presentation, Tina will demystify the basics of marketing data intelligence, reveal actionable strategies for your day-to-day conversion marketing, and share real examples of how her agency has skyrocketed B2B conversions with the addition of marketing intelligence.




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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

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!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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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