MARKETING
How To Use Your Website Data To See If Your Buyer’s Journey Really Works [New Template]
You craft a funnel to take visitors from an introduction to conversion. But does your content actually do that?
I created a template in Looker Studio (formerly Google Data Studio) you can use to visualize the full-funnel impact of your content marketing initiatives. By looking at awareness (page views), engagement (average time on page), and conversion metrics (unique purchases) together, you can more clearly see the impact of an increase or drop in numbers at any of the stages.
The dashboard works with both Google’s Universal Analytics and Google Analytics 4. But remember, Universal Analytics will stop processing data by July 1, 2023. You can learn about how to switch your analytics to GA4 here.
Use this #GoogleLookerStudio template with GA4 or Universal Analytics to visualize the full-funnel impact of your #ContentMarketing initiatives, says @kierawiatrak via @CMIContent. Click To Tweet
TIP: If you don’t already have your Google Analytics account integrated with Looker Studio, select “Create data source” and follow these instructions to connect your account.
Step 1: Connect to your data
Make a copy of the template to replace the sample data with your own. Click on the three dots in the upper right corner and select “Make a copy.” A pop-up prompting the selection of a data source will appear. Scroll down to “Create data source.” Pick the analytics system you use now.
Step 2: Customize your dashboard
With your data connected, the dashboard automatically shows the awareness and engagement categories based on your Google Analytics metrics.
TIP: Compare your dashboard with the template to ensure the right metrics were selected. In switching the sample data to your own, Looker may have erroneously selected metrics not included in the original template.
You also can visualize different metrics by customizing the dashboard. Click on the metric you want to change and select the preferred metric from the drop-down chart setup menu on the right.
Step 3: Set up custom conversion events
The conversions in the template used custom events in the sample Google Analytics data set – unique purchases, conversion page views, and total value. When you switch to your data source, these metrics will not update.
If you have custom conversion goals and events set up in your Google Analytics account, you can add them to the conversion section as you did with the awareness and engagement sections. However, if not, you should set up conversion events or goals in your Google Analytics account before they can be added to your dashboard by following these instructions.
Some conversion metrics, however, can be created directly in your Looker dashboard with the filter feature. This is particularly useful when you want to set up data just for pages or parts of your website.
For example, you can add “conversion page views” to your dashboard using this method:
- Click “add a filter” and then “create a filter” in your chart setup menu.
- Select “page title” and add all titles of your conversion pages, such as product pages, shopping carts, booking pages – anything that makes sense for your business. (Visits to pages with conversion intent are more valuable than other page views on your website because they signal the user is considering making a purchase.)
- Name the filter and save it. (My filter is named conversion pages.)
- Select the metric or chart to which you want the filter applied. (I selected “conversion page views.)
- Return to the chart setup menu.
- Scroll down to “filter” and add your newly named conversion pages filter.
You should see the total views for the conversion pages identified in your filter.
View all data for a set of pages
At the top left of the dashboard, click on “page title.” From this drop-down, you can select the pages for which you want to see data in the aggregate. For example, if you want to see your blog posts’ awareness, engagement, and conversion data, you would simply select them here.
With this drop-down menu, you can change the pages on a whim, just like you can change the dates. You also can customize a more permanent view of the report. Say you want the report to show data from your blog posts but don’t want to manually select every newly published post from the drop-down.
Instead, create a filter, which I discussed how to do earlier, or a segment, which you create directly in Google Analytics, which I explain how to do later.
Filters and segments allow you to view a group of pages that fit the designated criteria. Filters are created in Looker to provide a lens on the report level. Segments are created in Google Analytics to isolate and analyze subsets of data based on the designated criteria.
To create a segment in GA4:
- Sign into your Google Analytics account.
- Click on the “Explore” tab in the menu on the left.
- Create or open an existing exploration. A “variables” menu will pop up.
- Select the plus sign next to “segments.”
- Create a custom segment or use a suggested segment. (Custom segments require you to isolate data based on users – what specific people have done on your site, sessions – any time someone visits your site or events – when someone has done something specific on your site.
- Add the conditions based on your chosen criteria, such as demographics, traffic source, pages visited, platform, device, etc.
- Use conditional and/or logic to further nuance your segment.
- Name your segment, and you’re all set.
Now, you can apply the filter or segment:
- Go to “Page” on the top menu bar.
- Select “Current page settings,” and a new panel will open on the right, next to your data source.
- Under the “Page filter”, choose “Add a filter” and apply the chosen segment or filter to your dashboard.
Deriving actionable insights from your dashboard
In this template, the dashboard compares time periods, so you can see how the numbers progress over time. By tracking the early, mid, and late stages of the funnel, you can use the data to optimize your customer journey.
For example, a substantial increase in your awareness and engagement metrics should lead to an increase in conversion metrics. How long that will take depends on the length of your buyer cycle, but ultimately the pattern of growth early in the funnel should consistently correlate to an uptick in conversions. Be sure to note how long the process takes to note patterns in time and behavior in the cycle. The more you know, the better you can optimize for the buyer’s journey.
Track how long it takes for conversions to increase after an uptick in awareness and engagement metrics, says @kierawiatrak via @CMIContent. Click To Tweet
If the awareness and/or engagement metrics rise, but conversions don’t, you may be attracting people other than prospective buyers to your site. That indicates you may need to change your awareness marketing channels. If the drop occurs at the engagement level, take a hard look at your website content. Why isn’t it sticky? How can you change up your content strategy to entice people to stay and learn more?
Marry content marketing and measurement in 2023
By visualizing your data in this Looker Studio template, your content marketing team will be well-equipped to analyze which content attracts visitors and how it impacts their buying decisions. By building that connection – and having a visual representation of it – your executive team will be more likely to support the content marketing strategy. And that’s not an optional step in 2023.
HANDPICKED RELATED CONTENT:
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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