MARKETING
15 Content Marketing Metrics Your Platform Must Track
You’ve probably read a million articles about content marketing by now, but with 88 percent of B2B marketers using the process every day and another 76 percent planning to in the future, you’d better start taking content marketing seriously. Your competitors are using it, and you don’t want to fall behind.
But it’s not enough to use content marketing. You have to use it properly.
Otherwise, what’s the point? But using it properly requires you to measure your content marketing’s success in a meaningful way.
Tracking the success of your content marketing not only measures how effective it is but tells you what you need to improve. But by what metrics do you measure the success of your marketing?
More than 60% of marketers surveyed ranked “leads” as the most important KPI for measuring the success of their content marketing program. However, while leads are important, they don’t always give you the specific data you need to make your campaigns better.
The key is to find metrics that will lead to actual results and improve your ROI. The more ROI you get from your marketing efforts, the more successful you will be as you get more out of doing less.
Let your marketing drive your traffic and sales!
This guide will look at metrics that will measure the success of your content marketing. We will specifically be looking for metrics that give you data-driven methods to improve and increase your ROI.
Social shares
Social media is a significant hub for content marketing, and how often your content is shared is an excellent way to keep track of how engaged your audience is with your content. Most social media platforms have analytics that give you much of this information, but you may want to dive deeper.
A tool like BuzzSumo can help you identify which topics and articles are being shared the most, giving context to what is being shared and why. Of course, what tools you use and what data you gather depends on the goals of your content marketing campaign but what content is being shared is a fast way to estimate your success on the platform.
Assisted conversions
Assisted conversions can be found in Google Analytics and give you an idea of which channels a prospective client used before taking whatever action you want them to take. The closer to zero the analytic is, the better.
You are looking for someone consuming the least amount of your content while still performing the wanted action. This metric shows that the piece of content they consumed, specifically, drove them to your site to give you a better sense of how your marketing is working.
SERP ranking
SERP stands for social engines research page and measures how well Google thinks your content responds to a customer’s search question. This ranking is, of course, vitally important as most people are not going to be looking specifically for your content when they search Google for something.
Your SERP ranking can be broken down into several specific categories depending on your marketing goals and give you an idea of what content is driving the top of your funnel. In addition, because this metric tracks the connection between a potential client’s query and your content, it gives you a better idea of what your customers are searching for.
Pageviews
A pageview is a basic but valuable metric that tells you how often your page has been viewed. Although it does not tell you what action the customer took after viewing the page, it does give you some measure of how engaging the content is.
You can look at how often your page was viewed or the average time people spend viewing your content. Either way, it gives you a place to start when wondering about the effectiveness of your content marketing.
Unique pageviews
Like pageviews, this is a fundamental metric to understand how often your content is being engaged; however, unlike ordinary pageviews, this tells you only when you are attracting new visitors. So, although customer retention is more important, you still want to find out when you get unique views.
Presumably, an increase in unique pageviews means your new content marketing project is engaging. As new people visit your content, you have a hope of converting them into regular customers.
Customer retention
While you always want to be adding new customers, it is even more important to keep your old ones coming back. Retaining old customers is much cheaper than getting new ones, so to get a good ROI, you want as high of a customer retention rate as you can get.
By looking at this metric, you’ll get an idea of how often a customer visits your content and how much time passes before they return. This information will help you decide when to add new content to keep your old customer coming back.
Sales cycle velocity
It stands to reason that if your content marketing is working the way it is supposed to, you should see a reduction in your “time to sale.” But, again, you can use analytics to track this or have your sales team catalog when first contact happens to when a sale occurs and compare that to your average “time to sale.”
Pages per session
Pages per session track how many pages a viewer looks at in a given session. By looking at this number over time, you can understand how enraging your content is.
If your pages per session stay high, your content is being successful at engaging customers. If low, it might be time to switch up your content marketing campaign.
CTR (click-through-rate)
CTR lets you know how your keywords and meta descriptions get people to click on your content. After all, your content marketing can’t succeed if no one can find it.
Creating meta titles and engaging descriptions is a skillet all on its own. If your CTR is low, you need to find someone who is better at getting people invested in your product.
Customer sentiment
The most accurate test of how people feel about you is what they’re saying about your product on social media. Many apps can find any mention of your brand’s name and alert you to what is said.
A true test of how well your content marketing is working is if it’s actually changing your audience’s perspective. If you can see your audience’s esteem grow in real-time, you’ll know your project has your desired effect.
Traffic sources
Traffic sources let you know where the traffic to your website is coming from, whether it’s referrals, direct, or from searches. Traffic sources ignore any traffic you are getting from paid ads so that you better understand how your content marketing is driving traffic.
The analytic also give you an idea of what channel people are taking to your website. Whether they’re fending you by word of mouth or keywords are good enough that people are finding you through a Google search.
Bounce rate
Looking at the negatives gives you as much information as the positives. For example, bounce rate lets you know how many people left your site without interacting.
Your engagement may be high, but if your bounce rate is also high, people are coming to your site but not following through. When this happens, you need to retool your marketing measure to take what action you’d like people to take more straightforward.
Post engagements
How and if a person reacts to your content reveals how successful your marketing campaign is. Comments let you know that your customer cared enough about what you created to say something.
What your customers say helps you redefine what your marketing campaign will look like. Similarly, a lack of comment may mean that your content isn’t creating enough of an impression to be commented on.
Pipeline contributions
It’s great to have people at the top of your funnel, but at some point, you want them to come down the pipeline and become customers. Looking at pipeline contributions metrics helps you know how your webinars and EBooks drive traffic to your site.
The whole purpose of content marketing is to drive traffic to your site, but if you aren’t converting them, you need to rethink your strategy. Knowing how well your pipeline contribution works lets you know if you need to rework your marketing efforts.
Page depth
Page depth lets you know how many pages people visited on a trip to your site. It also gives you an exciting way of analyzing the engagement produced by your content marketing.
Although, ultimately, you want your customer to buy your product or service, a high page depth can give you an indication that your content is creating curiosity about your product. Then you need to figure out how to convert that curiosity into sales.
How Welcome can help
Now that you’ve analyzed the metrics of your content marketing project, how do you take the next step? If you want to leverage real-time search data and recommendations that help inform your content strategy, optimize content so that it ranks well for search, and ensure it resonates with your audience, Welcome can help.
Ready to take your content marketing to the next level? Get started with a free Welcome account today!
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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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