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Top 6 Video Marketing Metrics Your Boss Actually Cares About

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Top 6 Video Marketing Metrics Your Boss Actually Cares About

Conventional wisdom tells us that views, especially three-seconds ones, are a vanity metric. But Facebook tracks them for a good reason.

In 2016, they analyzed their users’ video consumption data and discovered that 45% of people who watch the first three seconds of a video will keep watching it for at least 30 seconds.

Facebook’s study suggests that views are a good indicator of how well your video’s hook performed. But view count, as a metric, also has drawbacks, like not being able to tell you who your audience is or whether your video resonates with them.

That’s why we created this list of video marketing metrics that shed light on the things your boss actually cares about — like how much your audience engages with your video, conversion rates, and how video affects your website’s performance.

Which Metrics are Brands Tracking?

We surveyed over 500 global video marketers to find out what metrics they believe are important in measuring a video’s success. Each respondent could select more than once answer, and in our survey we found the following metrics were mentioned as being important:

  • Engagement (60%)
  • Conversion rate (56%)
  • View count (53%)
  • Click-through rate (52%)
  • Follower/subscriber growth (52%)
  • Average view duration (50%)

A graph of the top 6 video marketing metrics marketers care about.

1. Engagement

Engagement is one of the most important factors in boosting your video’s organic reach — if a video resonates well with part of your audience, then it’ll likely resonate with the rest of it

Engagement provides marketers with valuable qualitative data too. Comments can show you the emotional effect your video had on your viewers. Do they seem inspired? Or are they angry you covered a controversial topic? This data can help you decide which video topics to focus on in the future.

Social shares can paint a clearer picture of your audience’s brand affinity and loyalty. This metric measures how much your audience values your content and brand. It also builds your brand’s credibility. Since people share content that confirms their ideal self-persona, people who share your video are willing to show their community that they trust and support your brand.

Social sharing is also one of the best forms of word-of-mouth marketing.

2. Conversion Rate

Your video’s conversion rate measures how well your video persuaded viewers to convert into a lead or a customer. You should test whether videos increase or decrease your landing or product pages’ conversion rates. If they do, this means video does a better job of conveying information and evoking excitement in your prospects than text does.

3. View Count

One would think that a view is counted anytime your video is watched on any device, but different platforms have different ways of measuring view counts. For example, YouTube counts a view if the platform confirms the video was played by a human on one device.

This means someone can’t refresh their page multiple times to raise their view count.

On TikTok, however, the moment your video starts to play, it’s counted as a view. No confirmation necessary.

38% video marketers reported their video content averages under 10,000 views, while 16% said their videos average under 1,000 views —according to our survey. We also found 84% average under 100,000 views per video.

4. Click-Through Rate

Click-through rate measures how well your video encourages viewers to take a desired action. If your CTR is low, consider altering the placement of your call-to-action in your video. Audience retention graphs show that most people don’t watch videos all the way through, so you could place your CTA at the beginning or middle of your video. Or you could also make your video more engaging so more viewers reach the CTA at the end of your video.

Leaving your CTA at the end could produce more clicks than moving it to the middle or beginning because viewers who watch your video all the way through are more likely to take action than someone who just clicked play.

5. Follower/Subscriber Growth

Follower/subscriber growth can be an excellent measure of a video’s performance because it shows that your video is reaching new audiences and attracting people to your brand. You can also see what kind of audience your video attracts, which can help you create a buyer persona and create more quality content that is tailored to your audience.

6. Average view duration

Average view duration is the total watch time of your video divided by the total number of video plays, including replays. It measures how long your viewers watch your video, on average. Average view duration is a powerful metric because it reveals your audience’s video length preference. For instance, if your 45 second videos keep getting a 30 second average view duration, you might want to cut those videos down by 15 seconds.

Benchmarks for Video Marketing

Different kinds of videos have different benchmarks. Here are a few video types and the benchmarks we found associated with them:

Short-Form Videos

Short-form videos lead in usage by 58% and have the highest ROI, lead generation, and engagement, according to our survey. With the rise of short-form video tools and platforms like Instagram Reels and TikTok, it’s not surprising short-form videos will be leveraged for the first time more than any format in 2022.

83% of marketers say the optimal length of a short-form marketing video is under 60 seconds. Our survey also shows 41% of short-form marketing videos have an average watch percentage between 61-80%, and almost half of short-form marketing videos have a CTR between 5-8%.

Long-form Videos

A long-form video is any video longer than three minutes. These videos rank second in terms of usage, ROI, lead generation, and engagement. Long-form videos will also be leveraged significantly by marketers for the first time in 2022 and are expected to see an increase in investment.

We found the optimal length for a long-form marketing video is three to six minutes. Our survey also showed 38% of long-form marketing videos have an average watch percentage between 41-60%, and 57% of long-form marketing videos have a CTR between 5-8%.

Live Video and Live Streams

35% of marketers plan to leverage live videos/live streams for the first time in 2022, and the optimal length of a live video/live stream is between four and nine minutes, according to 51% of video marketers. We also found 39% of live videos/live streams have an average watch percentage of 41-60%.

As video-sharing platforms see a surge in popularity, video marketing is only going to become more important to your brand’s success. Now that you know the metrics that most marketers — including your competitors — are measuring, you’ll be able to make sound decisions for your next video-marketing campaign.

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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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