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Why we care about connected TV and OTT advertising

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datafuelX launches predictive analytics solutions to improve linear TV and CTV outcomes

Connected TV and OTT advertising represent the digital transformation of traditional linear TV publishers following the rise of streaming platforms and mobile viewing, and they are engaging viewers through on-demand, live and cross-channel experiences. For marketers, this enables them to reach households through any device, including smart TVs.

Combined with connected TV, the world of advertising now has a range of high-quality, affordable options to reach audiences with targeted messaging.

While there’s more flexibility and accessibility now, you also face challenges as you seek to optimize when, where, and how you reach your audiences. It’s important to tap into artificial intelligence in marketing so you can achieve the success you need.

In this piece, we’ll dive into connected TV and OTT advertising. We’ll cover:

Estimated reading time: 7 minutes

What Is connected TV?

Connected TV (or CTV) falls into a subset of over-the-top (OTT) outlets. They’re the smart television sets, which allow you to connect to the internet via Roku, Fire TV, Apple TV, or gaming consoles.

What Is OTT advertising?

OTT (over-the-top) allows you to stream digital content directly from the internet via platforms like Hulu, Peacock, Philo, Prime Video, Sling TV, and TubiTV. You can stream OTT content on many connected devices, including tablets, phones, and laptops.

Differences between CTV and OTT advertising

At the most basic level, connected TV and OTT advertising allow you to better fulfill the increase in demand from your audience while letting you tap into new platforms and strategically distribute your content.

  • Connected TV just acts as a conduit for OTT, so you can connect your smart TV or other devices to the internet.
  • OTT Advertising passes through broadcast, cable, or satellite TV providers, so you can stream the digital content on mobile devices, PCs, or TVs.

While the methods for distribution may vary, connected TV and OTT are both solutions that address consumer dissatisfaction with the high cost and lack of options available from traditional TV. OTT advertising involves pre-roll, mobile, and web inventory, which is cheaper. Connected TV advertising is a more expensive product because you’re paying for a premium experience.

Benefits of advertising with OTT and CTV

There’s much more to the migration of consumers from traditional TV to connected TV and OTT though. CTV and OTT offer a range of benefits, which were not available at all with traditional TV or were not possible to the same extent. So, why do advertisers love OTT and CTV?

High Completion Rates

With OTT and CTV, your audience is more likely to watch the streaming ads because they’re not able to skip them. This trend is important since traditional TV options usually offer DVR services, which allow your audience to fast-forward through or skip advertisements altogether.

Targeting

As OTT and CTV advertising content evolves, you can more easily segment your audience and target different versions of your ads to various demographics. With that level of high-tech targeting, you can more easily engage with your audience and inspire them to act.

Ask them to purchase, sign-up, or even visit your store. If the ads aren’t working, it’s also a simple matter of adjusting your messaging and optimizing your targeting to achieve the return on investment (ROI) you need.

Challenges of advertising with OTT and CTV

While you’ve probably become familiar with how OTT and CTV advertising work by watching them yourself, the strategy may not be as easy as it sounds. To be successful, you must learn the process and optimize your placements. Here are just a few of the challenges you’ll face.

Analyzing your metrics

Understanding your analytics and fine-tuning your strategic decisions is daunting. It’s a learning curve that many advertisers are just not willing to invest time and money into learning and doing well.

Finding the right advertising strategy

You need to deliver the right messaging to your target audience at the best time. To achieve that sweet spot, look at your metrics to focus on the best way to advertise your brand’s products and services.

OTT vs. CTV reporting: How to measure advertising campaign effectiveness

There’s never a single metric you should use to determine the success of your advertising campaigns on OTT or CTV platforms. So, let’s look at which factors you’ll analyze to strategize and determine the best placement options for our audiences.

Reach

Unique users who see your advertisement are your reach. You use this metric to determine where your budget is going.

Rate of completion

Your completion rate is the number of times your audience actually sees your ad all the way through. If you have a high rate of completion, you’re sending a message that probably resonates with your audience. They’re engaged with your messaging.

Viewability

This metric helps you determine whether your audience can see your ad and what their overall experience is. You’re looking at how long they watched your advertisement and the screen size to determine how captivating your campaign was for your audience.

Attribution tracking

You should track the action that your audience takes when they view your ad. Do they download your application, view your website, or visit your store? Those simple actions are essential to the success of your marketing AI campaigns.

CPCV (cost per completed view)

You should measure the cost per completed view to better determine the success of your advertising campaign.

Which is better for advertising: OTT or CTV?

Over-the-top (OTT) and connected TV (CTV) offer different experiences for advertisers, which may make you select one over the other. You might use OTT for a political ad campaign because you’d likely reach a larger audience with marketing AI. With OTT advertising, your audience can also click on the ad, which can be an effective way to drive traffic to your website.

With CTV advertising, you might invite your audience to stop by your store, attend an event, or take some other action that doesn’t require direct interaction with the screen. You pay a premium price for connected TV ad campaigns, so you should check to see where your ads are running.

What Is the future of OTT and CTV?

Whether you’ve been using AI marketing for years or you just started, you’ll continue to see changes in the industry that will affect OTT and CTV advertising. Media platforms and digital technologies are rapidly changing to better address the demands of your savvier audience.

82% of U.S. households with a TV have at least one internet-connected device or platform, so brands would be wise to gravitate toward OTT and CTV advertising. AI in marketing supports your efforts in this area, as you can more easily strategize and develop a plan for implementing an approach to reach your targeted audience.

Learn more about OTT and CTV

Even if OTT advertising and CTV advertising are relatively new concepts to you and your marketing team, you can use the power of AI marketing to better understand how these placement options can work for your brand.

Here are some helpful OTT and CTV resources:


About The Author

Why we care about AI in marketing
Danni White draws on over 15 years of experience as a marketer, writer, and content strategist in both B2B and B2C industries. Over the past decade, she has worked with agencies, startups, and digital publications to create content that matters to audiences and converts. She is the founder of DW Creative Consulting Agency where she works with clients to create, manage, and optimize content for optimal business impact.

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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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