Despite the increasing pressure many shoppers are feeling from inflation, the latest data from this year’s Black Friday shopping shows that consumers are still taking the shopping event seriously.

Brick-and-mortar store visits grew by an estimated 2.9% compared to 2021, according to a report from Sensormatic Solutions. Meanwhile, Adobe Analytics found that online sales rose by 2.3% to $9.12 billion.

This increase in in-person shopping likely reflects the easing of Covid-19 restrictions across the country and the increasing comfort shoppers are showing about going to brick-and-mortar locations. Stats from Thanksgiving Day itself back this up, with a whopping 19.7% increase compared to 2021. 

Bloomberg had similar findings, with data showing that increased mall traffic rise by approximately 1.2%, and traffic to other types of shopping locations (such as strip centers or standalone stores) climbed 4.7% compared to the past year. 

Notable Stats from Shopify

Shopify also released its data from this year’s Black Friday Shopping, accounting for a record-setting $3.6 billion across the platform from the start of Black Friday in New Zealand to the end of Black Friday in California. 

At the height of the day’s sales, Shopify saw $3.5 million per minute.

The report also included some other interesting highlights:

  • Top selling countries and cities where shoppers made purchases from: United States, United Kingdom and Canada, with the top-selling cities on Black Friday including London, New York, and Los Angeles
  • Top product categories: Apparel & accessories, followed by health & beauty, and home & garden, with trending products including Snocks GmbH (Boxershorts), rhode (peptide glazing fluid), and Brooklinen (Luxe Core Sheet Set)**
  • Average cart price: $102.31 USD or $105.10 USD on a constant currency basis  
  • 15%: Cross-border orders worldwide on Black Friday as a percentage of total orders 
  • 27%: Growth in POS sales made by Shopify merchants globally over last year’s Black Friday

What We Can Learn From This

Despite challenges, Black Friday and the surrounding weekend remain major events for consumers and retailers. With the end of Covid restrictions, consumers use a renewed sense of flexibility to find the best deals online and in-store.

For retailers, it is more important than ever to ensure your customers can easily find you and compare your prices and products. The online shopping space is increasingly crowded and it is up to you to stand out with great offers, well-crafted sales messages, top-level service, and high-quality products.

Keeping up with all of Google’s ranking algorithms and systems can be a lot. It seems like every time you turn around, the search engine has pushed out some new ranking system that brands need to be aware of if they want to reach users on the largest search engine around. 

Making matters even more complicated, Google also occasionally retires older systems as they become obsolete or redundant over the years.

Thankfully, Google has released a comprehensive guide to its many different ranking systems so you can be sure you are optimized for the most important ranking signals without investing resources into systems that are out of use. 

Ranking Systems Vs. Ranking Updates

Along with information about each ranking system and how it influences your standings on Google Search, the guide clarifies the language between ranking updates and ranking systems.

These terms have been used somewhat interchangeably but Google is finally drawing a clear line between the two.

According to the guide, a ranking system is something that is constantly operating behind the scenes – such as RankBrain or the helpful content system.

On the other hand, a ranking update is a one-time change to the ranking systems. For example, Google regularly rolls out updates to its spam detection systems.

Active Google Ranking Systems

Here are Google’s currently active ranking systems in alphabetical order:

  • BERT: BERT (or Bidirectional Encoder Representations from Transformers) is an AI system that allows Google to understand how combinations of words may change meanings and intent
  • Crisis Information Systems: This is a system Google has in place to handle important information during times of crisis – both personal and public. For example, the system helps intervene when users search for content related to potentially dangerous personal crises, such as suicide, sexual assault, or poison ingestion.
  • Deduplication Systems: This is used to help Google avoid delivering search results with duplicate or nearly identical content.
  • Exact Match Domain System: A system is used to balance the importance of ranking brands highly for searches containing their exact business name without giving too much credit to sites with domain names that exactly match broader queries.
  • Freshness Systems: Google’s freshness systems work to show newer content more prominently for queries where it would be expected.
  • Helpful Content System: The relatively new Helpful Content System guarantees that users see original content written with their needs in mind, rather than content crafted specifically to rank well.
  • Link Analysis Systems and PageRank: These systems determine what content is about and what pages may be most helpful for specific queries based on how pages across the web are linked together.
  • Local News Systems: Google uses this to highlight information from local news sources when they will be the best resource for a query.
  • Neural Matching: This lets Google understand representations of concepts in queries and match them with the most relevant pages.
  • Original Content Systems: Google’s Original Content Systems help identify the original source of content and highlight them above those who simply cite it.
  • Removal-Based Demotion Systems: The system responsible for demoting or removing content with a high volume of content removal requests.
  • Page Experience System: The Page Experience System is designed to assess which sites will provide the best user experience.
  • Passage Ranking System: Passage ranking is an AI system used to identify specific sections of content which may be most relevant for search.
  • Product Reviews System: As part of Google’s shopping tools in search, Google uses the Product Reviews System to reward highly reviewed products and to showcase reviews that contain the most insightful or relevant information.
  • RankBrain: RankBrain is an AI system crucial to the search engine’s ability to understand how words and concepts are related and return more relevant content – even when all the exact words in a search may not be present.
  • Reliable Information Systems: These are a number of systems that ensure Google’s search results prioritize information from reliable sources.
  • Site Diversity System: The Site Diversity System prevents Google from showing more than two specific pages from the same domain in the top results for a query.
  • Spam Detection Systems: The Spam Detection Systems identify content and behaviors which violate Google’s spam policies and deal with them appropriately by demoting or delisting them.

Retired Google Ranking Systems

  • Hummingbird: Originally rolled out in 2013, Hummingbird was a broad overhaul to Google’s ranking systems. Since then, Google’s recent systems have evolved past the need for this system.
  • Mobile-Friendly Ranking System: This system rewarded sites that were optimized to render well on mobile devices. Since then, it has been absorbed into the Page Experience System.
  • Page Speed System: Initially a standalone system that highlighted sites that loaded quickly on mobile devices, this system has since been incorporated into the Page Experience System.
  • The Panda System: Panda was released in 2011 with the purpose of surfacing high-quality, original content. Since 2015, it has been part of Google’s core ranking systems.
  • The Penguin System: The “cousin” to Panda, Penguin demoted websites that used spammy linkbuilding strategies to rank abnormally well. It has been part of the core ranking systems since 2016.
  • Secure Sites System: Originally, it gave a small boost to sites that adopted HTTPS security protocols when it was less commonly used across the web. Though HTTPS sites are much more common these days, the system is still in use as part of Google’s Page Experience System.

Google is rolling out several new updates and features for Google Search aimed at making it easier for users to find the content they are looking for.

Among the announcements, the search engine revealed new ways to use augmented reality (AR) and Google Lens to shop for products and find information like how to get a dish you’ve been craving from a nearby restaurant. 

Below, we will go over the announcements one by one to break down the details and when you can start using these tools to help users find your products and services.

Introducing Multisearch For Food

Google is working to unite its search tools including Google Lens and Maps so that users can seamlessly combine types of searches into one powerful search.

For example, using multisearch, you can now take a picture of a meal in Google Lens and add a text modifier such as “near me” to discover what restaurants serve that meal.

“This new way of searching will help me find local businesses in my community, so I can more easily support neighborhood shops during the holidays,” said Cindy Huynh, Product Manager of Google Lens.

This feature is rolling out for all English-language U.S. users today.

Search For Specific Dishes

Along with the announcement above, Google revealed that users can also simply search for specific dishes by name to find information including who serves this dish, pricing, ingredients, and more

As Google’s Sophia Lin says:

“I often crave comfort food this time of year — like truffle mac and cheese — but I don’t always know where to find it. Lucky for foodies, starting today, you can now search for the exact dish you’re craving and see all the places near you that serve it.”

AR Shopping Tools for Shoes and Makeup

Seeing how new products will look once you leave the store has always been difficult for consumers, but Google is using augmented reality to visualize potential product purchases before you buy.

The first way Google is doing this is by allowing you to see potential show purchases in your living space. 

Starting today, shoppers can not only see high-quality 3D models of shoes. They can spin them around, zoom in on details, and even see the shoes as they would look in your typical surroundings.

Importantly, this is available for any brand with 3D assets of their shoes or home goods.

Additionally, Google has upgraded its AR shopping tools for makeup to include a broader range of skin tones and models with a more diverse set of features. 

The search engine has added over 150 new models with a diverse spectrum of skin tones, ages, genders, face shapes, ethnicities, and skin tones to test cosmetics on.

Google is officially rolling out frequency targeting controls for video ads on YouTube according to a new blog post from the company.

With this move, advertisers can now take control and set limits for how often individuals see their ads.

In the past, the only way to do this was through connected TV campaigns in Google Display & Video 360 – more advanced advertising tools and features.

What Is Frequency Targeting For Ads?

Frequency targeting lets advertisers set a target number of times their ad will be shown to specific users.

This helps make the most of ad budgets by preventing ads from being repeatedly displayed to unreceptive audiences.

As the announcement for the feature explains:

“This will help advertisers optimize towards more precise reach and frequency, while ensuring that we continue to provide a suitable advertising experience for viewers. Target frequency allows advertisers to select a frequency goal of up to four per week and our systems will optimize towards a maximum unique reach at that desired frequency.”

Why Set a Frequency Target For Your Ads

Though there may be times when repeatedly seeing the same ad may be beneficial to motivate potential customers, there is a limit. Most studies indicate that repeatedly seeing ads is much more likely to contribute to diminishing returns and bad will with consumers.

For example, one Google-commissioned study found that TV advertisers see a decrease in ROI of 41% when the frequency of their ads was more than 6 views per week. Based on the data, more than 46% of ad impressions were above this threshold, making nearly half of ad impressions wasted.

The study says:

“Almost half of the linear TV impressions in our study were considered waste but the same study from Nielsen shows that brands can increase their average weekly frequency from one to three on YouTube with a consistent ROI.

“This is a huge opportunity for marketers to maximize their impact across the same set of people they are already reaching today.”

Final Details

Frequency targeting is now rolling out to all Google Ads users around the globe. 

Google claims that over 95% of all campaigns using frequency targeting hit their goal using the tool in testing.

Instagram is finally making it easy for many users to schedule posts or reels up to 75 days in advance without the use of third-party tools or services.

In the past, the only official solution to scheduling when content goes live on the platform was through the desktop tool Meta Business Suite. 

Now, many users and almost all brands will be able to schedule content drops up to 75 days ahead of time directly from the iOS or Android Instagram apps. The only catch is that users must have a professional account which is free for brands or professionals on the app.

How To Schedule Posts on Instagram

Professional accounts can now schedule posts containing the most popular types of content on Instagram including:

  • Single Pictures
  • Image Carousels
  • Videos
  • Reels

Currently, the feature allows users to schedule these posts up to 75 days before they are to go live. 

To do this, open the Instagram post composer and tap “Advanced settings” to find the option to “Schedule this post.”

From there, you can select the exact time and date you want the content to be published. 

This will let you get the most impact out of content releases by getting in front of your audience when they are most receptive. You can also use this to synergize content releases with the content being published on other platforms or product releases to amplify your content’s influence. 

For more, check out the announcement from Instagram here.

TikTok is once again facing a potential ban in the United States after FCC commissioner Brendan Carr raised dire concerns about the app’s risk to national security. 

This is the second time the company has come under fire by US government officials. During Donald Trump’s presidency, the company was threatened with a ban until one was rejected in federal court. 

The issue now is the same as it was then – TikTok is owned by ByteDance, a Chinese company. As TikTok continues to become massively popular in the US, some worry there’s an unprecedented risk for the app to funnel data on US citizens to China. Others have suggested the prominence of the app and its current influence on American culture creates a risk for propaganda to influence American citizens.

Is TikTok Getting Banned?

The short answer, for now, is that TikTok is not getting officially banned in the US.

No formal actions have been taken, and the Federal Communications Commission does not have the authority to directly regulate or ban the company. However, the FCC has a significant influence on those that do – Congress. 

For example, it was Carr’s recommendations that largely led to the Chinese company Huawei being banned by Congress. 

What Has Carr Said?

The latest concerns over a ban were sparked by comments made by FCC commissioner Brendan Carr during an interview with Axios

When asked about his view on TikTok and its potential security risks, Carr plainly stated “I don’t think there is a path forward for anything other than a ban.”

Furthermore, the commissioner showed little hope that the company may come to an agreement with the US government that would allow it to remain operating in the country:

“Perhaps the deal CFIUS ends up cutting is an amazing, airtight deal, but at this point I have a very, very difficult time looking at TikTok’s conduct thinking we’re going to cut a technical construct that they’re not going to find a way around.”

How Is TikTok Responding?

For now, the company seems to be confident that they will reach a deal to continue operating and downplayed Carr’s role in any discussions about the issue. As a representative from TikTok told CNN:

“Commissioner Carr has no role in or direct knowledge of the confidential discussions with the US government related to TikTok and is not in a position to discuss what those negotiations entail. We are confident that we are on a path to reaching an agreement with the US government that will satisfy all reasonable national security concerns.”

As such, it is safe to assume that TikTok will remain in the US for at least the short-term future. How long it can withstand the growing concerns remains to be seen, though.

A new case study from SEO researcher Joy Hawkins at Sterling Sky seems to finally debunk a myth that has lingered around Google reviews – that keyword-rich reviews could help a site’s ranking in search results.

The idea does make a certain amount of sense. Reviews can help spotlight specialties or unique services that companies offer and could provide a valuable signal to determine the most relevant results for specific searches.

Based on their findings, however, Sterling Sky says having customers put] keywords into local reviews on a business listing “does not improve rankings.”

It is important to note that the test is definitely limited. 

For the study, the team gradually added product ratings including the phrases “fresh cut Christmas trees” and “Christmas trees” for a small Christmas tree seller with minimal online presence, rankings, or SEO efforts.

The Results

Sterling Sky says that the new keyword-rich reviews did not improve the company’s keyword rankings, even after six months.

The graphics below illustrate that the rankings did not improve for either keyword. In the case of the first phrase, rankings actually got worse by the end of the study, while rankings for the second keyword phrase remained approximately the same.

Hawkins concludes that there is no need for brands “to include certain words in their reviews.”

“First of all, this is hard to do and you often come across as weird or odd. And secondly, and most importantly, this case study shows that it does not improve rankings!

At the end of the day, Google probably focuses more on contextual information within reviews to help rank local businesses, rather than looking for exact keyword matches. Not only is this harder to abuse, it provides a more rich and more detailed understanding of a local business listing than a single keyword.