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Ecommerce SEO: Optimizing and Ranking Category Pages

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ecommerce seo optimizing and ranking category pages

As is the case with most eCommerce companies, category pages are among their most important destinations. Given their prominent status in the eCommerce website hierarchy, these high-priority pages often pull in searches for short-head, high-volume keywords.

However, this does not mean that they are automatically optimized for SERP rankings. In fact, the situation is quite the contrary.

In the world of eCommerce, search engine optimization is a preeminent strategy for scaling a business. This fact becomes evident when one realizes that 39 percent of all global traffic comes from search.

Right.

Given this information, it is critical to optimize category pages as these destinations naturally target many keywords that consumers search. That said, these pages tend to contain the least content, thereby making them difficult to optimize for some.

While optimizing product pages for SEO performance is also a critical task, it often overshadows category-level content, leaving a gaping hole in a brand’s search strategy.

Yet, by utilizing specific tactics, retailers can help to elevate these pages in the SERPs, thereby increasing their traffic and potentially earning more conversions overall.

Take a look at Southern Tide’s category pages for their jackets and vests:

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Ready to get your content pages to top Google? Read on.

When establishing optimization strategies for category pages, it is essential to understand that consumers are far more likely to search category-like keywords rather than precise product names.

For instance, if shoppers are in the market for a new pair of headphones, they are likely to search terms like “wireless headphones” with the potential inclusion of a specific brand or retailer. This scenario is far more likely than consumers searching “Bose SoundSport Wireless In-Ear Headphones.”

Besides, more specific searches (such as the example mentioned above) are the job of product pages, not category pages.

Therefore, retailers should conduct keyword research that aligns with the products sold within a category or collection to understand the terms that buyers are searching and apply to the page in later steps. Moreover, when using the words on said pages, it is vital to only direct those keywords to the page that it relates to in order to avoid keyword cannibalization issues.

Look how many possible keywords are used in one of Refrigiwear’s category pages:

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That said, when handling the research, sellers will have to go beyond short-head terms. While such keywords are undeniably crucial, the fact is that long-tail keywords still drive the majority of purchases as these phrases tend to show strong user intent and usually reside lower in the sales funnel.

When optimizing category pages, the natural starting point is its header tags. In the page’s H1, utilize the primary keyword that is likely to draw in customers. This is vital real estate as a page’s header helps search engines and users to understand what a destination is all about.

Unfortunately, this is where category search engine optimization effort usually ends for most merchants. One of the biggest problems that retailers face regarding their category pages is that they only show products.

While products are certainly the star of the show on such pages, category pages that are not designed to house content severely limit optimization opportunities.

Therefore, one of the easiest ways to help elevate a category page’s optimization potential is to build these destinations in a way that allows for content to be added. This content will usually take the form of a small block of introductory text.

With an introductory section, retailers can utilize various short-head and long-tail keywords that were determined to be valuable during the keyword research process. However, be sure that the copy flows smoothly, naturally and avoids any keyword stuffing. Failure to heed this warning could result in lower rankings within Google and other search engines.

For merchants who aren’t copywriting experts, it may be wise to partner with an eCommerce SEO company that can make the most out of this real estate.

Finally, within the text, merchants can include internal links to related subcategories, as well.

However, it should be noted that this space is not solely reserved for SEO purposes. Introductory text on category pages gives sellers an opportunity to show off their brand’s personality. After all, a distinct persona can help retailers move merchandise and cultivate customer loyalty.

For instance, shoe retailer Famous Footwear boasts on their men’s shoes category page:

“We’re the work boots you pull on every morning and the slippers you can’t wait to slide into at night. We’re the oxfords you wore on your second interview and the chukka boots you wore on your first date. We’re the men’s running shoes that helped push you to the finish line (all the training paid off!). We’re the basketball shoes you lace up when you shoot hoops with the guys and the sports shoes that help you chase your kids around the park.”

While this is only a snippet from the page’s much lengthier text, in this paragraph, the brand not only shows off its identity, but it also forms a connection with the customer with the continual usage of “we’re.” Moreover, the company also links to a variety of subcategories with anchor terms like “chukka boots,” “slippers,” “running shoes” and other relevant keywords.

That said, the links that merchants include on their category page need not be limited to those of other subcategories.

Content is the bedrock of all SEO efforts. With that in mind, it is possible to utilize such materials to elevate category pages in the SERPs.

Ames Walker does a fantastic job of putting content on their category pages:

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While it is essential to devise an interlinking strategy as it relates to category, subcategory and product pages, employing content to achieve a deeper level of interlinking can be extremely valuable.

Given that category pages sit near the top of a site’s hierarchy, these destinations benefit more from internal linking than other, deeper pages. Therefore, retail sites can potentially earn greater visibility by using categories as pillars to create content around.

To achieve this, begin by asking what solutions are intrinsically tied to each category or collection. Moreover, establish what category-related information users would seek out during the awareness stage of the buyer’s journey. Brainstorm how to develop useful, valuable, educational or entertaining content related to each category.

Taking things to the next step, do the same for the consideration and decision phases as well. After uncovering some pain points and potential topics, it is wise to go back for another round of keyword research to build an effective eCommerce content marketing strategy.

The content itself should showcase the category of products and naturally weave category page links into the content as, from an SEO perspective, this is the core purpose of the materials. However, the links must be natural and actually useful in the context of the piece. Otherwise, these efforts will merely seem like product peddling.

When it comes to linking, it isn’t just internal links that are useful in enhancing a category page’s SERP performance.

As far as search engine ranking factors are concerned, backlinks are still one of the most heavily weighted components.

Therefore, eCommerce retailer’s content marketing efforts should not end with crafting on-site materials, but also extend to pitching articles and blogs that relate–and link to–category pages.

When a brand gets mentioned by other sites, those destinations tend to either link to the company’s homepage or a specific product page. This leaves a massive gap where category pages are concerned.

Take a look at this article about Tiege Hanley where they get linked to their site in the opening sentence:

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Given this dynamic, merchants should work to make connections and pitch pieces that place category and subcategory pages at the center of the message while linking to the relevant destinations.

For instance, if sellers take the time to build truly memorable and unique category pages, they can pitch their creation story and lessons learned to a marketing company that is likely to publish a roundup post on great category pages. Moreover, merchants can even offer to pen the piece (so to speak), thereby giving themselves more creative control over the message and the included link(s) while also earning a byline.

In many ways, category pages are the heart of eCommerce websites. Therefore, retailers should pay considerable attention to how these destinations are structured and optimized for providing the best customer experience and SEO outcomes.

Given the amount of traffic that these pages can attract through the implementation of the tactics listed above, any seller who fails to utilize these pages to the fullest is doing their site a disservice.

Implement the strategies outlined here to help your site’s category pages climb the SERPs, generate more traffic and earn substantially more sales through their newfound visibility.

PPChero.com

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MARKETING

YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

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!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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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