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When it comes to marketing technology, ends come before means

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When it comes to marketing technology, ends come before means

CDP is like a map. It only helps you if you know where you want to go. This idea, understanding your goal before purchasing technology, isn’t how some marketers operate. However, shifting to this approach is essential – especially given today’s marketplace. That was the conclusion of top marketers participating in the keynote discussion for day two of The MarTech Conference.

Cesar Brea of Bain and Co.
Cesar Brea of Bain and Co. speaking at The MarTech Conference.

“The conversation around marketing technology has really classically been kind of, ‘I have this set of tools, what should I do with them?’” said Cesar Brea, partner at global management consulting firm Bain & Company. “And it’s switching the client perspective from the platforms to use cases, from the means of technical delivery back to a client’s performance goals, that we see as, as maybe the most useful thing that we can begin to actually do.” 

You need to know what to measure

This isn’t only because marketers have a fondness for the shiny and the new. It’s also because they’re looking for the metrics that can help them best achieve their goals.

“Over the last decade it’s felt like we as practitioners, as technologists, as advisors, have been chasing…technological changes,” he said. “First we sort of chased email testing technologies, and then it was web and mobile analytics, and then it became journey orchestration and personalization and recommendation technologies and then multi-touch attribution.”

Tech needs to be in service of goals

Ricardo Ortegon, the global VP of martech at brewer AB InBev, agreed, saying his company had a history of buying technology without a clear understanding of whether it would help achieve their goals. This resulted in a lot of it being underutilized and sometimes even forgotten after a few months or years. 

What changed?

“When it comes to digital transformation…our overall strategy is entrenched in our overarching business objective. That is that we want to know consumers better than anybody else, so we can better serve them,” Ortegon said.

1648662716 716 When it comes to marketing technology ends come before means
Betsy Schneider of Bain & Co. speaking at The MarTech Conference.

“From this overarching business objective we create themes or topics that we work around specific problems, or opportunities that we have, like smart audience creation, personalization at scale, full funnel marketing, real time optimization,” he said. Only when they agree on that do they start looking at what tech they need. “We like to say that we fall in love with a problem, not with the technology that we’re addressing.”

The rapid changes in consumer behavior brought about by the pandemic highlighted this issue, according to Betsy Schneider, director, media at Bain & Company. She said many of their clients were caught flat footed, unable to quickly change how they connected with customers.

Identify the business challenges first

“For the majority of the clients that I’ve worked with, during this time, a lot of that flat footedness was caused because they had so many technologies going on.” she said. “They have the CDP, the DAM, the onsite personalization, technology, analytics, really everything that makes up a stack, which is all necessary. And a lot of this complexity made it difficult to manage the communications and the priorities at a time when they really needed to be nimble.”

Ricardo Ortego of AB InBev
Ricardo Ortego of AB InBev speaking at The MarTech Conference.

She pointed out one client, in the furniture industry, was struggling with the gap from their online research to their offline sales measurement even before COVID hit. 

“They have lots of tools, but the tools didn’t have much integration,” she said. “And there was a bit of a gap because they only saw their customers in the furniture business once every eight or so years. And so something that had, in previous times, been more of an inconvenience [when it came] to really understanding your customer experience became this really mission critical gap when everything then was transitioned online.”

Bake it in from the beginning

Responding to rapid change isn’t only a problem only for long-established companies. 

Biopharmaceutical company AbbVie was spun off from Abbott Laboratories in 2013. Denise Campbell, the company’s head of consumer marketing, said that from the beginning the company has been acquiring technology based on its strategic goals.

First the company did some initial benchmarking “in terms of our digital maturity relative to the pharmaceutical industry, but also looking at the pharmaceutical industry relative to other verticals like retail and financial services,” she said. 

That helped them determine where they needed to start from in order to maintain their competitive advantage as a marketing company.

1648662717 36 When it comes to marketing technology ends come before means
Denise Campbell of AbbVie speaking at The MarTech Conference

“And then once we planted our flag there, it became a lot easier for us…to say, okay, this is where we have gaps,” she said. Once they understood where those gaps were – whether in technology or in terms of skills and capabilities, “Then we could systematically start to fill those gaps and keep moving forward and hopefully not lose ground relative to the competition.”

Agility depends on clarity

While the company was well positioned in both approach and products to respond to the pandemic, it was hit by an entirely different change in the market.

“We barely had implemented our DMP from Adobe,” she said, when we realized “that’s going to be an antique within 24 months because of the deprecation of cookies. And so suddenly we found ourselves in the midst of a CDP implementation. I was like, ‘Well, it is what it is, but if I’d known that 12 months ago we might have done something a little differently.’”

Campbell said having a firm understanding of where you are and where you are going is the best way to prepare for the unexpected. 

Know what’s essential to have

“Really diagnose the situation you’re in,” she said. Do the “benchmarking and understand what is quickly becoming table stakes versus differentiating capabilities for the business that you’re in.”

Knowing your ultimate destination will tell you the core elements you have to have in place, she added.

“You can do it piecemeal or you can do it all at once, but (whichever you choose) just walk in with eyes wide open, knowing that it’s a piecemeal solution, or an all in one,” she said. “I did have some days where I thought we had purchased all of the basic building blocks only to find out we hadn’t. So it’s kind of like you’re trying to make a cake, and then all of a sudden, you’re short one cup of flour. …Really make sure that you have clarity going in [that] if you want to be able to do three activities, make sure you have everything in house to enable you to do that.”

Read next: Breaking down the digital transformation of today’s customer journeys


About The Author

When it comes to marketing technology ends come before means
Constantine von Hoffman is managing editor of MarTech. A veteran journalist, Con has covered business, finance, marketing and tech for CBSNews.com, Brandweek, CMO, and Inc. He has been city editor of the Boston Herald, news producer at NPR, and has written for Harvard Business Review, Boston Magazine, Sierra, and many other publications. He has also been a professional stand-up comedian, given talks at anime and gaming conventions on everything from My Neighbor Totoro to the history of dice and boardgames, and is author of the magical realist novel John Henry the Revelator. He lives in Boston with his wife, Jennifer, and either too many or too few dogs.


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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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