MARKETING
Increase Revenue with Speed Optimization [Local SEO Case Study]
The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.
Last year, I pitched a series of technical SEO topics for local SEO on twitter and got lots of positive feedback.
One of these elements of technical SEO that can feel extremely daunting and unfamiliar to local SEOs is speed optimization.
There are some key scenarios when local SEOs should seriously consider speed optimization, even for a small local client. After all, these clients are still impacted by the issues that come along with having a slower website — such as higher bounce rates, lower conversions, and worst of all, a poor user experience.
There are also plenty of instances where speed optimization is a practical next step in your SEO strategy. If your client has great content, great links, but low engagement or rankings, speed issues may be the culprit.
This case study is about a client just like that. The only service my team at RicketyRoo provided during the length of the case study was speed optimization, and we saw some impressive results. In this post, I’ll share our experience, and hopefully this inspires you to take on some speed issues you’ve been nervous to address.
The client
The client is a multi-location residential cleaning franchise with over 40 locations across the United States. The website consists of approximately 580 pages, with a landing page for each location.
Our client’s goal is pretty simple: take a bigger piece of the pie from the larger nationwide home cleaning franchises. Our technical audit showed that the site was very slow, so site speed is where we started.
Our methodology
1. Set up staging environment with WPEngine
Whether you’re using tools and plugins or choose to manually update the website for speed, you should create a staging (or test) environment. Making manual changes to the code that a website is built with (even through a plugin) can break a website. A staging environment is a cloned version of the production site that can be tinkered with without the risk of breaking anything on the live site. Once you have a staging site set up, you can essentially update and change any elements you would like and test without fear of your client losing traffic or leads.
Our speed philosophy is to test and verify. Verifying that the staging site is still functional after making a change and then getting an updated score through the speed tool of your choice is the only way to be confident about the changes you are making.
2. Run through a tool like WebPageTest
During this stage, you’re diagnosing issues such as script files returning 404 errors, unused CSS files causing longer load times, and render-block resources. Find these issues and update them. Web.dev is a great resource for finding solutions:
1. Review Core Web Vitals scores to determine where issues lie.
2. Find out what’s taking the longest amount of time from the waterfall
3. Review render-blocking resources and update (deferring them is likely the best call here)
3. Check to see if anything is broken
This is why we’re using a staging environment — just in case any of these changes we’ve made breaks something. Check out the live staging site and compare the visual and functionality to the production version of the site. If everything is working as expected, then you’re doing great.
4. Review large images via WebPageTest
The Largest Contentful Paint issues are often caused by images that are too large. There are many guides on how to optimize images out there. If you’re using WordPress, you can also use a plugin like Imagify:
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Download any large images, resize, and reduce space
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Reupload images at smaller sizes
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Check image resolution on staging site
5. Rinse and repeat for other page templates
Everything we’ve done so far we’ll repeat for every template type used on the site. Most sites will have separate templates for location pages, services, categories, blogs, products, contact pages, etc. Each of these page types should be reviewed with a tool like WebPageTest.
6. Install WP Rocket
If your site is on WordPress, you can use WP Rocket to further optimize your site for speed. WP Rocket can sometimes have issues with other plugins or themes used on WordPress sites, so it’s important to test on the staging site first.
7. Review plugins
While we’re on the topic of plugins, you should also review your current plugins and deactivate and remove any that are not in use.
8. Check to see if anything is broken
We’ve made a decent amount of changes at this point. We should review the live version of the staging site again and compare it to the production site.
9. Run through Webpagetest again
Let’s see how we’ve done! If you’re happy with your results then your work is nearly done.
10. Push changes live
Any changes you made should now be pushed to the production site.
11. Annotate changes in GA
Remember to annotate these changes so that you can check back and draw a conclusion from your results for yourself.
Results
Our speed optimization started in July 2020. Soon after, we saw improvement in rankings for non-branded keywords that already ranked in the top 20 positions. The client saw a 32% increase in new users, a 47% increase in phone calls, and a 63% increase in free quote requests in a year-over-year comparison of 2021 to 2020. 2021 saw a 55%+ increase in revenue over 2019 and over 60% in comparison to 2020.
This correlates with an increase in both site traffic and qualified leads. Our client measures qualified leads as scheduled appointments, which grew by 49% PoP.
We also reviewed the CRux data for our client in comparison to closely-ranked competitors. The winner for each UX/speed element is highlighted in yellow. As you can see, our client’s scores are generally higher than competitors that do not rank as well:
Conclusion
Technical SEO can be done, even if you don’t consider yourself a tech expert. Having a backup makes it easy to test out changes with confidence. Never dismiss the importance of a SEO tactic because you’re unfamiliar. Our client saw ranking and improvements as well as a 55% increase in revenue due to Core Web Vital optimization alone. Now that you have a staging website, you’re free to tackle other technical issues you may have discovered but felt uncomfortable with approaching.
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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