MARKETING
21 YouTube SEO Tools to Boost Your Video Rankings
Updated Jan. 31, 2022
When you think of search engines, it’s usually Google, Microsoft Bing, and Yahoo. Yet YouTube is one of the largest search engines in the world, with more than 2 billion monthly active users.
Most people consider YouTube a social media platform. And it is, but it also behaves a lot like a traditional search engine. Visitors enter a query and get a list of videos ranked by relevance.
Optimizing your video content is critical for ranking in search so the audience can find you on YouTube. Fortunately, many of the traditional SEO rules apply to YouTube, too: Find the right keywords to communicate relevance, design a good user experience to drive engagement, and use analytics to find and fix whatever is not working.
With that said, here’s a rundown of tools to help you manage your YouTube SEO. Some are your general, run-of-the-mill SEO tools. Others are designed specifically for YouTube. But each one is useful for growing your YouTube presence.
Tools for researching trends and keywords
Use relevant keywords in your title, description, and tags to make sure your video content gets found. These tools will help you identify search trends and find the best keywords.
Google Trends
You may be familiar with Google Trends for tracking whether interest in your chosen topic is up or down. But you might not realize it also shows YouTube-specific trends. Click on “YouTube Search” to explore video-related trends and opportunities. Given that the data is coming from Google (which owns YouTube), it’s as trustworthy as it gets:
YouTube autocomplete
The first place to look for the right keywords is YouTube’s autocomplete feature – start typing your seed keyword into the search bar and see how YouTube interprets it by showing autocomplete suggestions:
Rank Tracker
If you have a bunch of keywords, you can automate the process with the help of a specialized keyword research tool. The free version of Rank Tracker (disclosure, I am the creator) allows you to use nine keyword research methods, which are likely to result in thousands of prospective keywords. Don’t worry – you can narrow the selection using custom filters (aim for the highest search volume and the lowest competition).
Keywords Everywhere
For something lighter and more convenient, look into Keywords Everywhere. The browser extension allows research of keywords on the go. It augments the autocomplete features of YouTube and Google with valuable metrics.
AnswerThePublic
AnswerThePublic is another handy solution for keyword research. This beautifully designed online tool allows you to research the most common questions associated with your keywords.
Keywordtool.io, Kparser, and Keyword Keg
These paid solutions for keyword research provide cost per click (CPC) and search volume information. Keyword Keg offers a limited version free, but you’ll need the paid version for larger-volume campaigns.
Keyword Planner
You can also turn to the Keyword Planner section of your Google Ads account and enter your seed keywords to get a bunch of closely related keywords. One downside with a free account is that you don’t get the exact search volumes for your keywords, just approximations.
Here’s a handy video guide my team put together that covers these and other YouTube keyword research and optimization tools:
Semrush Keyword Difficulty: Why It is the Most Accurate and How to Use It For Your SEO Strategy Guide
The most accurate way to estimate a keyword’s SEO difficulty is with Semrush. The newly revamped keyword difficulty metric is now more accurate than ever. Download the e-book today!
Tools for finding the most profitable YouTube tags
The tags people add to videos help YouTube place the videos into proper categories. But tags aren’t displayed on a video’s page, so researching them is a hassle.
You can open the page’s source code and look for tags there or install a browser extension that will do the job for you.
vidIQ Vision for YouTube
This tool analyzes videos on the go and provides a summary on the page, complete with tags and other information:
YouTube Tags
Another browser extension option, YouTube Tags, shows the tags for each opened YouTube video. It provides an excellent overview of any video ranking for your topic.
RapidTags
RapidTags generates multiple tags related to your topic. Put in the URL or topic of your video and see what tags come up. One downside, though, the free version is limited.
Tools for managing and auditing your channel
Keep an eye on your video successes and failures. Knowing which videos work for your brand – and which ones don’t – can help you understand the effectiveness of your keywords and inform future opportunities.
YouTube analytics
YouTube’s native tool provides an overview of your channel, accessible through your channel dashboard. It tells you who your audience is and what other kinds of videos they enjoy watching. You can see the timeline of views/engagement with your audience as well. It’s made for people who already have several videos and want to survey their success.
TubeBuddy
TubeBuddy is one of the most feature-rich apps for running and optimizing your YouTube channel. You can use it to analyze your channel’s stats and perform competitive research. You can also use it to edit your video data (thumbnails, annotations, and descriptions).
tubics and quintly
Try tubics for keyword research, channel audit, and more. A similar tool, quintly, provides a convenient reporting feature in addition to data on subscribers, engagement, watch time, and so on. Though quintly wasn’t specifically created for YouTube, it’s easy to integrate.
Research your competitors
Several tools can give you a rich profile of your competitors’ YouTube presence. Use this information to create more effective videos and text-based content.
Rival IQ
With Rival IQ, you can see a general outline of a competitor’s growth, what works, what doesn’t, what tags they are using, and so on.
NoxInfluencer
This tool helps you evaluate your channel and shows you the best-performing videos in a category or location. That makes it indispensable in SEO research.
Socialinsider
Socialinsider’s YouTube competitor analysis tool provides an in-depth look at the history of ranking and performance of your and your competitors’ content.
Tools for moderating your comment section
Though you may not think of it as an SEO factor, the comments section can have an indirect effect on your rankings. Comments can make or break your YouTube channel. The comments under the most innocuous, helpful videos can become a vile pit of rot that harms your brand.
YouTube comment moderation
YouTube’s comment moderation feature is probably the best tool for this task. It lets you add filters to automatically deal with inappropriate commenters and create a list of forbidden words to quarantine comments incorporating them.
Smart Moderation
Smart Moderation does the same thing YouTube’s moderation tool does but across several platforms at once. And it doesn’t just quarantine comments with forbidden words – it deletes them.
Watch your YouTube SEO
YouTube is the definitive content platform for billions of people around the world. To make the most of it, brand marketers need to think about SEO before the content gets created – and follow through long after the videos are posted. Not doing so means you’re investing in videos that will never realize their potential on YouTube.
All tools mentioned in the article are identified by the author. If you have a tool to suggest, please feel free to add it in the comments.
Cover image by Joseph Kalinowski/Content Marketing Institute
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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