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Bringing your ABM strategy to the world of CTV

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MobileFuse launches improved targeting for CTV and cross-channel campaigns

Account-based marketing (ABM) is a growth strategy brands are adopting at a rapid rate.

“70% of marketers say they use ABM, and there’s a 15% year over year increase in the usage of an ABM,” said Ali Haeri, VP of marketing at MNTN, in his presentation at The MarTech Conference. “But the problem with ABM is that everybody is using the same playbook.”

Email marketing, targeted advertising, and personalized landing pages are some of the most popular tactics employed by ABM marketers. And they can all be quite effective.

However, relying on the same old tactics can cause campaigns to become stale, which is why marketers need inventive ways to drive leads with ABM.

“The problem is that when all marketers are doing the same thing and working out of the same playbook, it’s really hard to differentiate yourself,” said Haeri. “It’s really hard to stand out, and when we’re considering our end-user, it’s really hard to cut through the noise.”

Enter CTV — a growing channel offering ABM marketers plenty of opportunities.


1650069292 819 Why we care about B2B marketing A guide for marketers

More B2B marketers are adopting account-based marketing than ever before. Find out why and explore the ABM platforms making it possible in the latest edition of this MarTech Intelligence Report.

Click here to download!


Too much at stake not to consider ABM/CTV integration

With all the time, effort, and resources that go into ABM strategies, marketers need to make sure they’re meeting their goals, less they end up wasting valuable campaign dollars.

“You may put a lot of effort into creating a personalized landing page experience for your ABM prospect, but do they even get to the landing page?” asked Haeri. “Are the other touchpoints working well enough to get a prospect to the landing page?”

He added, “The key consideration here is that there’s too much at stake to not nail your ABM strategy.”

Nine out of 10 marketers attribute larger deal sizes to their ABM program, according to data from Forrester Research. And 200% more revenue is generated by marketers who have an ABM program installed when compared to those that don’t, according to research from Terminus. With so much potential, marketers would be wise to get their ABM programs right.

“Having an effective implementation of an ABM strategy can do wonders for your business,” Haeri said.


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Why use CTV in your ABM strategy?

“What we’re talking about here is using the biggest screen in the household — the television — as the channel to get your ABM targeted message out to your prospects,” said Haeri. “This is a mechanism where you can create distance from your competitors utilizing connected TV as a channel.”

ABM tactics can stand out from the competition by targeting users on CTV, drawing in those that may have been left out in the past. Here are some other reasons why it can serve as a powerful channel for your ABM strategy:

  • It’s highly targetable and fully measurable.
  • It’s a digital channel that serves high-impact ads.
  • It’s an effective demand generator.

Find audiences on CTV with ABM platforms

“B2B marketers don’t have the luxury that a lot of B2C marketers do,” said Haeri. “Everything needs to be measured meticulously, and you need to be assured you’re getting a strong return on your ad spend.”

To find the ideal audiences and make the most of CTV’s potential, marketers should identify an ABM platform or tool that can help them reach their goals. Haeri says the option you choose should accommodate brand needs, including features such as user targeting, CRM list management, and campaign measurement.

Regardless of which ABM platform you choose, it’s clear there are incredible opportunities for ABM marketers in CTV.

“Bring your ABM strategy to TV,” Haeri said. “Now that TV can be treated as a performance marketing channel, it’s a no-brainer.”

Account-based marketing: A snapshot

What it is. Account-based marketing, or ABM, is a B2B marketing strategy that aligns sales and marketing efforts to focus on high-value accounts. 

This customer acquisition strategy focuses on delivering promotions — advertising, direct mail, content syndication, etc. — to targeted accounts. Individuals who may be involved in the purchase decision are targeted in a variety of ways, in order to soften the earth for the sales organization. 

Why it’s hot. Account-based marketing addresses changes in B2B buyer behavior. Buyers now do extensive online research before contacting sales, a trend that has accelerated during the COVID-19 pandemic. One of marketing’s tasks in an ABM strategy is to make certain its company’s message is reaching potential customers while they are doing their research. 

Why we care. Account engagement, win rate, average deal size, and ROI increase after implementing account-based marketing, according to a recent Forrester/SiriusDecisions survey. While B2B marketers benefit from that win rate, ABM vendors are also reaping the benefits as B2B marketers invest in these technologies and apply them to their channels.

Read next: What is ABM and why are B2B marketers so bullish on it?


About The Author

Guide to what you missed at the fall 2022 MarTech

Corey Patterson is an Editor for MarTech and Search Engine Land. With a background in SEO, content marketing, and journalism, he covers SEO and PPC to help marketers improve their campaigns.


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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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