MARKETING
50 Video Marketing Statistics to Inform Your 2022 Strategy [New Data]
As marketers find more innovative ways to attract audiences, video has become a meaningful part of the strategic conversation.
Video marketing is no longer an “up-and-coming” content strategy. It’s here, and it’s an increasingly powerful way to communicate your brand story, explain your value proposition, and build relationships with your customers and prospects.
The HubSpot Blog surveyed 550 marketers to learn about the latest video trends. The most recent data shows that video content isn’t just effective — the demand for it is growing at an impressively rapid pace. Here are the key video marketing statistics you should keep in mind to inform your strategy.
General Video Marketing Stats
- 36% of marketers say the primary goal of their company’s video marketing efforts is to increase brand awareness and reach new audiences.
- 37% of companies exclusively create video content in-house, 14% rely on an agency, and 49% share a mix of both in-house and agency-created video content.
- 69% of marketers say their company owns the production equipment used to create video content.
- The most popular video editing software is Adobe Premiere Pro, which is used by 61% of marketers.
- 44% of marketers use an iPhone as their primary camera for video content.
- 88% of companies surveyed have a team dedicated to creating video content, and 45% of companies with dedicated video support have a team of two to five people.
- 81% of marketers say their primary company has a budget specifically for video marketing, and 52% of marketers said their video marketing budget remained the same for 2022.
- 42% of marketers surveyed say creating video content through an outside agency has resulted in better videos.
- 69% of marketers claim the biggest benefit of creating video content in-house is having more creative control and flexibility.
- When asked what the biggest benefit of working with an agency to create video content is, 68% of marketers point to higher-quality videos that look more professional.
- 77% of marketers say their company uses YouTube to host marketing videos.
- 14% of marketers say their company spends between $7,000 to $10,000 to produce a video.
- When asked how long it takes to create a marketing video from start to finish, 30% of marketers say it takes two weeks.
- According to 65% of marketers, production (filming, lighting, and audio) is the most expensive part of the video creation process.
- 38% of marketers say pre-production (ideation, writing the script, and casting) is the most time-consuming part of the video creation process.
- 74% of companies optimize videos for silent auto-play.
- 78% of companies leverage accessibility features in video content. The most common accommodation is video captioning, which is used by 65% of companies.
- 31% of brands publish two to four videos per month.
- 29% of companies started prioritizing video marketing in 2019.
- When asked what the three biggest challenges are when creating video content, the top responses were lack of time to create video content (39%), difficulty creating an effective video strategy (33%), and inadequate budget to create video content (31%).
Video Marketing Performance Stats
- According to marketers the top three most important factors for creating effective video content are capturing viewers’ attention in the first few seconds (36%), effectively promoting videos (36%), and keeping videos concise (33%).
- The most effective video promotion strategies according to marketers are promoting videos on social media platforms (63%), adding videos to the company website or blog, optimizing the title and description for SEO, and running paid ads for videos (47%).
- 44% of marketers describe creating video content as somewhat easy.
- 59% of marketers found video marketing to be somewhat effective for reaching their company’s overall business goals.
- 47% of marketers say video marketing is moderately important to the overall marketing strategy at their company.
- 55% of marketers claim video marketing has an average ROI, and 41% of marketers report video marketing having a high ROI.
- 32% of marketers found the most effective way to generate leads from marketing videos is to place links to landing pages on social media video ads.
- The top metrics marketers use when measuring video content performance are view count (44%), watch time (43%), and engagement (41%).
- 36% of marketers say the optimal length of a marketing video is one to three minutes.
- 39% of marketers report that short-form videos generate the biggest ROI.
- 64% of marketers surveyed claim say the optimal length of a short-form marketing video is 20-60 seconds.
- 41% of marketers found the average watch percentage of their short-form videos is between 61-80%.
- 26% of marketers say the optimal length of a live video is seven to nine minutes.
- 40% of marketers claim the biggest benefit of creating video content is to help customers understand its products and services. 36% of marketers say the biggest benefit of video content is that it gets more engagement than other types of marketing.
- 68% of marketers say content showcasing their products and services generates the biggest ROI.
- Per 63% of marketers, content related to cultural moments and news stories generates the most video engagement.
- 59% of marketers have created a video that has gone viral.
- According to marketers, the most important factors in creating a viral video are making relatable content (28%), keeping videos short (27%), and capturing viewers’ attention in the first few seconds (26%).
- 24% of marketers say funny content is most likely to go viral.
Social Media Video Marketing Stats
- According to 58% of marketers, short-form videos (such as TikTok, Instagram Reels, and YouTube Shorts), are the main video format they leverage in their roles.
- The top channels for sharing or hosting marketing videos are social media (76%), blog or website (55%), email (44%), and Vimeo (31%).
- 67% of marketers say sharing marketing videos on social media (YouTube, Instagram, TikTok) has the biggest ROI.
- The top social media platform for sharing videos is YouTube (70%), followed by Instagram (60%) and TikTok (35%).
- 54% of companies plan on increasing their investment in videos for TikTok this year.
- 64% of marketers say their company has the highest engagement when sharing marketing videos on Instagram.
- According to marketers, the top social media platforms for generating leads from videos are Instagram (66%) and YouTube (59%).
- 56% of brands plan on increasing their investment in videos for Instagram this year.
- When posting marketing videos on social media, 55% of marketers say they leverage a mix of organic and paid content.
- 27% of marketers said YouTube is the platform they plan to invest the most in for sharing marketing videos in 2022.
- When comparing the two platforms, 78% of marketers said YouTube was more effective for reaching overall business goals, compared to 8% of marketers who felt Vimeo was more effective for reaching business goals.
As online platforms and consumer habits trend towards video, brands will need to invest in the medium to keep the attention of audiences and grow their reach.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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