MARKETING
5 Reasons Why your Magento Website Might not be Ranking
Magento is one of the most dependable content management systems for online retailers, with a wealth of features and customization choices. Magento is the e-commerce platform of choice for over 250,000 retailers globally. Furthermore, studies show that Magento users grow three times quicker than non-Magento users. One of the key reasons why most merchants and entrepreneurs use Magento to build their online businesses is because of this. Many global brands, including American Express, Ford, Coca-Cola, and many others, use Magento to run their businesses. If you consult a web development company, chances are that they will advise you to opt for a Magento store.
As you can see, Magento is an excellent platform for launching a successful e-commerce venture. However, if you decide to use Magento for your online business, you’ll need to understand how to use Magento SEO. Fortunately, this platform provides a number of ready-to-use ranking options.
This tutorial examines important ranking indicators for e-commerce websites and offers tried-and-true advice and strategies for improving Magento SEO.
Keeping Default Homepage Title and Description
The homepage, as you may know, is the most powerful page in terms of link equity and the page that can rank the most important keywords. As a result, if you want people to know what your website is about, you shouldn’t keep the title of the store as “home page.” Instead, you should focus on high-volume keywords that are relevant to the things you sell. As a result, if you require SEO for your online store, it will have a significant impact. As a result, instead of a title that just says “home,” make sure your store’s title refers to the products you sell. Starting with the name of the homepage, enrich your content!
Slow Page Speed
Page speed is the time it takes for a page to fully show its content and has been utilized by Google’s algorithm to rank pages. A common Magento SEO issue is slow page speed or load speed.
According to research, when Google evaluates page speed, it may explicitly consider the time to the first byte. Furthermore, a slow page speed means that search engines can only scan a limited number of pages with their crawl budget, which might have a negative impact on your indexation. Slow page speed, on the other hand, has a negative impact on the user experience. When a page loads slowly, it’s more likely to have a high bounce rate and a short stay on the webpage. Finally, all of these factors may have a negative impact on your conversion rate.
Images Not SEO Optimized
Image optimization is a multi-headed beast, in the sense that it has various characteristics that affect SEO. Here’s a quick checklist of things to consider for each image on your site that search engines will take into account in their ranking algorithms.
- Make use of ALT tags. The alternate or ALT text attribute is defined when the image name and description properties are created. The ALT text is mostly used by screen readers to assist visually impaired people who are browsing a website. Furthermore, search engines want to make sure that the alt text matches the rest of the page and image content.
- Make use of image captions. An image description provides more information than alt text and allows people to discover more about what’s in a picture that isn’t included in the alt text. The most crucial information is provided by the alt text, while image captions provide more detail.
- Use descriptive file names for your images. The image name is used by search engines as the first clue regarding the image’s subject. The image’s name influences how ‘findable’ it is in a search engine’s image search and how well it supports the page’s content.
- Reduce the size of the image (i.e. resolution and bit depth). Image loading time is reduced when the weight is reduced, which enhances page loading and perception of website performance. Google and other search engines look for image sizes and total page weights that are acceptable for the type of device being targeted, in addition to the human experience.
There are a number of plugins that can assist you with image optimization for your Magento 2 site. In addition to the native fields offered by Magento, below is a list of current Magento 2 Image Optimizer plugins to consider.
Having Duplicate Content
Duplicate content, as we all know, can have a negative impact on search engine rankings since it makes it difficult for search engines to determine which version of the information is more relevant to submitted search queries.
Search engines are unsure whether to include or reject certain versions from their indexes. Furthermore, they are unsure whether to direct link metrics such as trust, authority, link equity, and so on to a certain page and divide it into different copies.
Duplicate content might diminish link equity for store owners. Internal links that point to several duplicate pieces of content distribute link equity among the duplicates.
Missing Robots.txt Files
Although a robot.txt file isn’t essential for a website, it’s highly recommended. If you don’t have a robot.txt file on your website, the search engine bot will index all of your pages. And such an operation may cause the Google Web crawler to overburden the server with requests.
However, if you want more control over which pages are crawled, you may use a robot.txt file to exclude low-priority URLs from indexing. Magento gives you control over your website’s robots.txt file. Go to Content> Design> Configuration on the admin dashboard. Select the Store you’d want to change and then click Edit. Add custom instructions to the robots.txt File box and expand the Search Engine Robots list.
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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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