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What you need to know from Google Marketing Live

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Google's Topics API provokes a range of reactions

Here’s everything marketers and advertisers need to know from yesterday’s Google Marketing Live 2022.

Performance Max upgrades. Google is helping more advertisers try their most automated campaign type, Performance Max. These enhancements include:

  • In-store goals
  • Burst campaigns for seasonal foot traffic
  • ‘Experiment tools’ to help test potential lift
  • More insights
  • Support for Search 360 and the Google Ads app
  • Optimization score recommendations
  • Read more: 6 updates coming to Google Performance Max campaigns

YouTube Shorts ads. Those advertisers currently running video action campaigns and app campaigns will have ads automatically scale to fit Google’s TikTok competitor, YouTube shorts.

What you need to know from Google Marketing Live

Shorts are limited to one minute in length and advertisers may want to tighten up and hone in creative, given the timeframe. This will be rolling out now to advertisers globally, so make sure to measure results and annotate accordingly.

Swipable shopping ads in search. A big, bold new ad display pairs organic shopping results with shopping ads for a highly visual shopping experience. This is for apparel brands only and will be available through Search and Performance Max campaigns.

Read next: Google is giving users greater control over what ads they see

Product feeds for a shoppable YouTube experience. Later this year, advertisers will have the ability to connect product feeds to campaigns to create shoppable video ads on YouTube Shorts. Google said they have been experimenting with ads in YouTube Shorts since last year and are now slowing rolling out to advertisers across the globe.

Google said this is a “key step on our road to developing a long-term Shorts monetization solution for our creators, which we’ll share more about soon.” Beyond that, no additional context on this interesting marriage of the feed and Shorts was provided.

Coming soon to search results: 3D models of products. According to Google, “Augmented reality (AR) on cameras gets us close, and shoppers are ready for it. More than 90% of Americans currently use, or would consider using, AR for shopping.”

What you need to know from Google Marketing LiveWhat you need to know from Google Marketing Live

Merchants will “soon” have the ability to have 3D models of their products appear directly within the search engine results pages. No additional details on the program have been released.

Insights page updates. The Insights page is getting a major overhaul, with a focus on attribution and first-party data.

A new attribution section will show advertisers a better view of what drove conversions within accounts.

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This will also recommend a better attribution model if Google detects it can provide a better view on conversions.

The last new insight is the support of first-party data. The insights page will help advertisers view which customer lists are driving performance for campaigns – with privacy at the forefront.

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According to Google, new budget insights may help to identify opportunities to optimize ad spends. This feature will show how spend is pacing against performance.

The implementation and rollout will be interesting to observe, but much like Google’s recommendations, this should only be one piece of the decision-making puzzle.

Loyalty program ads integration. Advertisers using Performance Max along with a product feed will be able to drive more loyalty sign-ups across YouTube, Display, Search, Discover, Gmail and Maps, Google announced.

While this sounds interesting on paper, there will be a lot to unpack in the execution of this program. Advertisers with shopping feeds generally look to drive revenue from ads, not sign-ups.

The details are fuzzy at this point, but Google said more updates are coming in the second half of 2022. This is slated for the U.S. only.

Video ads in Discover

A big addition for video advertisers is the announcement of video ads showing directly in Discover. This is a great fit as Discover currently features many videos in the feed currently.

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Discover ads work well with bold, eye catching images currently and video should be no different.

Google Audiences for Connected TVs. Advertisers will soon be able to use connected TV campaigns to target viewers across YouTube and “most” other connected TV apps. This exciting new development will bring affinity, in-market, and demographic audience segments to connected TVs.

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The affinity audiences are available in a global beta. The in-marketing and demographic audiences will be in beta for global advertisers at the end of Q2.

Checkout on Merchant. Google will be streamlining checkouts for customers that “have decided what they want.”

With this implementation customers won’t need to go through so many screens/pages in order to checkout and will instead be sent directly to the existing buy-flow from the merchant – directly from the product listing. According to Google, Merchants will “own the customer” as the transaction happens directly in their flow.

While an interesting concept, this direct purchase may see a decline in AOV (average order value) as users won’t browse the site and will instead click the product listing and directly purchase. This is currently a closed pilot and Google is working to expand and move towards general availability in the coming months.

Asset Library availability for all advertisers

A nice new feature announced will help advertisers leverage current ads and assets outside of Google. According to Google it will be a “one-stop-shop” for asset collaboration and storage for images and video content.

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These assets can be accessed once imported from Discovery, App and Performance Max campaigns with plans for YouTube and shopping “coming soon.”

YouTube video creation in 60 seconds

No video ads? No problem. From within the Asset Library, Google announced that advertisers can create a video ad and publish to YouTube in as little as 60 seconds. This can be done with as few as 5 images, logos and text assets with the outcome being “an effective ad”.

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Advertisers that have seen the auto-generated Performance Max campaigns haven’t been overly pleased with videos that have been created, so make sure to proof the output if you use this feature.

Enhanced Conversions for additional channels

A new Enhanced Conversions for Leads is a privacy safe connection between leads and funnel progression by way of offline conversion imports. A new Lead Funnel report will be coming to Google Ads later in the year to help visualize lead progression.

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A beta of Enhanced Conversions for website conversions will be opening for Search Ads 360 and if you use 3rd parties to manage campaigns like Tealium, Segment, mParticle and Adobe may already feature Enhanced Conversions.

Why we care. Some of the items released (e.g., Checkout on Merchant and swipeable shopping ads) may have a major impact on advertisers, while other features (like the Performance Max experiment tools and Shorts expansion) may not.

Like every year, with many of the new features the devil will be in the details but the additional insights, and targeting should shake out to be an upgrade for advertisers across the globe.


About The Author

What you need to know from Google Marketing LiveWhat you need to know from Google Marketing Live

Greg Finn is the Director of Marketing for Cypress North, a company that provides world-class social media and search marketing services and web & application development. He has been in the Internet marketing industry for 10+ years and specializes in Digital Marketing. You can also find Greg on Twitter (@gregfinn) or LinkedIn.

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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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