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20+ Connected TV Statistics & Advertising Insights for 2023

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20+ Connected TV Statistics & Advertising Insights for 2023

It’s no surprise that consumers across the world are cutting the cord to cable due to the increased popularity of streaming services and the accessibility of OTT and CTV. In fact, in July 2022, the leading streaming services drew more viewers than cable TV for the first time and it’s expected that in 2023, cord-cutters will outnumber cord-nevers, those who have never paid for a traditional cable plan. It’s clear that more and more consumers are looking for flexibility and a better viewing experience while watching their favorite shows – luckily streaming platforms can provide both. 

In this article, we’ll dive into everything you need to know about Connected TV (CTV) including what it is, how marketers can benefit, and top CTV statistics.

 

What is Connected TV?

 

CTV stands for “connected TV” and includes televisions that are used to stream content over the internet. This can include both smart TVs as well as devices that hook up to TVs like Firesticks, Roku, Apple TV, etc. It is important to note that CTV and OTT, while similar, are not the same. OTT refers to any content that can be streamed from devices like TVs, phones, tablets, etc., while CTV is specific to TVs that connect to the internet.

Some examples of CTV devices include:

 

  • Smart TVs – Smart TVs have streaming capabilities (apps) built into their system

 

  • Gaming Consoles – Gaming consoles like Xbox, Playstation, and others also give users the ability to connect to the internet and apps to stream television

 

  • Other Media Streaming Devices – Other media streaming devices can hook into a television, essentially turning a TV into a Smart TV where users can watch their favorite shows via app. Examples include: Amazon Fire Sticks, Apple TV, Roku, and more

 

How Marketers Benefit from CTV Advertising

 

Consumers aren’t the only ones flocking to CTV in droves. Marketers have seen the opportunity that CTV is presenting from an advertising perspective as well. CTV advertising can solve a host of common marketing challenges and benefit both marketers and consumers. Let’s briefly dive into a few benefits of CTV advertising.

 

Easily Target Consumers With CTV Ads

 

With CTV advertising marketers have the opportunity to precisely target consumers like never before. While privacy is a top concern for marketers in the current climate, the TV screen is becoming one of the most targetable devices in an advertiser’s toolkit. Considering TV has never had cookies or IDFA to begin with, their deprecation doesn’t affect TV targeting in the same way. 

Today, most streaming platforms allow marketers to target against interests and behaviors, demographics, location, and custom audiences (based on first and third-party data sources). These vast targeting capabilities ensure marketers can reach their intended audience through their CTV campaign efforts. As a bonus, if you embrace a cross-channel approach to CTV advertising, you can target and retarget the same audience across multiple channels and screens.

Brand targeting and relevance are more important than ever considering:

 

  • 40% of viewers will stop watching CTV if there are too many ads, but they are willing to watch up to 5.8 ads if they are relevant to the viewer (Source

 

  • 86% of consumers are willing to see ads on CTV, especially if they are relevant to them (Source)

 

  • CTV now reaches two out of three US viewers, and daily CTV usage has grown by over 100% since 2017, per Nielsen research (Source

 

CTV Advertising Increases Brand Awareness

 

Marketers who have incorporated CTV advertising into their strategy have seen positive results, including an increase in overall brand awareness. A brand lift study, conducted by Kantar, found that CTV ads boost brand awareness by 19%. An Innovid and Digiday report also found that 59% of advertisers said investing in CTV advertising raised their brand awareness. If you’re looking to increase your brand awareness in the market, you might want to consider adding CTV advertising to your strategy.

 

Measure the Success of CTV Ads

 

There is a huge myth in the streaming world that non-click-based media is impossible to track – making it difficult or impossible to measure TV ads. This notion is simply false and with a variety of metrics to analyze, it’s completely possible, and necessary, to track the success of your CTV campaigns. In our current day and age, we have the ability to measure results in real time in order to adjust targets and optimize campaigns as needed. 

But do CTV campaigns actually work? What types of consumers are likely to engage in these marketing efforts? Let’s take a look at the numbers.

 

Audience Statistics for CTV

 

The growing popularity of CTV is simply undeniable. In fact, 87% of U.S. adults own a connected TV, and 46% watch daily. But who exactly are the consumers watching CTV? Let’s take a deeper look at the demographics. 

 

Demographics of CTV Viewers

 

CTV streamers come in a variety of ages and backgrounds. Let’s examine some common demographics for CTV users.

 

  • Most CTV viewers are between the ages of 18 and 34 years old (Source)

 

  • Four in 10 US senior citizens are CTV users—whereas CTV usage is about double that, more than 80%, among those ages 25 to 54 (Source

 

  • Even boomers prefer streaming to cable, with 40% spending most of their video viewing time with those digital services (Source

 

Source: eMarketer

 

Millennial and Gen-Z CTV Viewership

 

Millennials and Gen-Z have embraced CTV at extremely high rates. Let’s take a look at this demographic and how they contribute to overall streaming numbers. 

 

  • The number of CTV users came in at more than 110 million among Gen Z and Millennials (Source

 

  • One in four Gen Z Roku users discover new products or brands from TV streaming ads and 35% say they have purchased a product or brand as a direct result of seeing streaming ads (Source)

 

  • The number of millennial connected TV users in the United States is expected to hit 62.6 million by 2025 (Source)

 

CTV Audiences Outside of the USA

 

The popularity of streaming is a worldwide phenomenon, not just limited to U.S. consumers. Let’s examine CTV audiences outside of the USA.

 

  • About two-thirds of the UK population watches digital video on a CTV (Source

 

  • CTV users in the US were from predominantly older age groups, while in the UK, users from the 25-44 age group were leading (Source

 

  • CTVs are now on an upward curve in India, with 12-14 Million monthly active CTV users (Source

 

  • More than 50% of advertisers and nearly 100% of agencies in Europe cite CTV/addressable as a key growth area for digital video over the next 12 months (Source)

 

Marketing Spend Statistics for CTV Advertising

 

As the adoption of CTV grows worldwide, marketers have shifted significant efforts and large budgets of advertising spend into the streaming sphere, and for good reason.

 

  • The CTV market is expected to grow 14.4% in 2023 and will grow faster than the overall advertisement market (Source

 

  • Connected TVs drew 33% of streaming video ad budgets in Q2 2022, up from 28% a year earlier. For standard ads, CTV accounted for 53% of spend in Q2 2022 (Source).

 

  • In 2019, Roku, Hulu, and YouTube made up 45.9%  of the US CTV ad market. Now, they’re down to about one-third (Source)

 

  • In 2022, CTV advertising spending in the United States was valued at 21.16 billion (Source

 

  • 76% of video buyers considered CTV a “must buy” in their media planning budgets (Source)

 

  • eMarketer now predicts CTV ad spending will exceed $26 billion in 2023 (Source)

 

CTV Ad Spend Chart

Source: eMarketer

 

Conclusion

 

Interested in learning more about CTV or additional forms of video and streaming advertising? Visit our Performance Streaming services page, download our Ultimate Guide to Performance Streaming, or contact us today to chat with an expert. 

 

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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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