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How Local Google Reviews Can Affect Your SEO

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How Local Google Reviews Can Affect Your SEO

Google’s algorithm uses many factors to determine how to rank your local business; among the most important of these ranking factors are Google reviews. Google reviews, be they positive or negative, are great differentiators that let Google know which companies to display in their SERPs. The company has published content confirming that managing and responding to customer reviews helps improve the rankings of businesses on Google.  

If you’re still wondering whether Google reviews can benefit your SEO or if they are relevant to your business, consider the fact that 95% of shoppers check out reviews online before committing to a purchase. What’s more, 58% of customers would be fine with paying more for products if they purchased from a brand with positive customer reviews.

Considering that Google is (and will likely continue to be) the most popular search engine tool worldwide, it’s in all business owners’ best interests to keep an eye on their Google reviews. To that end, let’s look at how Google reviews can benefit your SEO and what to pay attention to if you want to get more reviews.

How positive reviews benefit your local SEO

Let’s say you’re just getting started or are in the process of improving your local SEO. A customer completes a transaction with your business, and they decide to leave a review of their experience. If their review includes keywords relevant to the products you’re offering and the industry in which you operate, it can go a long way toward propelling your website higher up on Google’s search results pages.

Positive Google reviews that contain relevant keywords are particularly important for companies that cater to a base of local consumers and customers on mobile devices. Keep in mind that nearly all your customers are using mobile phones to look for information online at one point or another (and almost 70% of kids have a smartphone by the time they turn 12 years old).

Customers on mobile devices searching for local businesses that deliver what they’re looking for often check out “near me” listings that display a company’s contact info and directions – it’s much easier for your business to appear in these listings if Google is ranking you well.

The basics behind Google local rankings

Google considers multiple factors when ranking local businesses based on search queries that users enter. Keywords relevant to your business, business categories, and on-page SEO all affect a business’s local ranking with Google. Out of all the most important factors when it comes to obtaining better rankings, review signals are some of the most impactful.

In addition to review signals, Google looks at other components to rank local businesses, including:

  • Social signals
  • Link signals
  • On-page signals
  • Citation signals
  • Behavioral signals
  • Personalization
  • Google My Business signals

These components affect whether your business appears on Google’s local pack and how high up on the pack it appears.

The local pack is a go-to spot that consumers look to when searching for businesses in their local area. That’s because the local pack shows people the star ratings of businesses which, of course, influence whether they decide to dig deeper and check out reviews.

Improving your Google reviews

If you don’t want to buy Google reviews, there are multiple ways for you to improve them organically.

Quantity of reviews

While positive, four- and five-star ratings are undoubtedly great to have if you want Google to rank your business’s website, you’ll also want to increase the number of your reviews.

In light of this fact, it’s important that you encourage your customers to write Google reviews, especially those who you’re sure had above-and-beyond experiences with your business. One good way to ensure this is by communicating with customers via phone after you’ve finished helping them complete their purchase.

If you consistently work toward encouraging your customers to leave positive Google reviews, you can increase your review quantity. After all, you’d rather have 200 reviews with an average 4.8 rating than only one or two reviews with an average five-star rating.

Customers tend to pick businesses with a high quantity of reviews. Additionally, Google recognizes that businesses with a high review count are proving their worth and are thus more deserving of being ranked higher than businesses with just a couple of reviews (even if those reviews are very positive).

At the end of the day, Google wants to serve its users and is most interested in connecting searchers with the businesses that best suit their interests and needs. Accumulate as many positive reviews as possible to better position yourself as an attractive brand in your industry.

Review velocity

Next, you’ll want to focus on driving a consistent flow of customer reviews directed toward your business. Google will notice companies actively accumulating customer reviews since high review velocities prove to Google that you’re taking your brand seriously and are running a company worth recommending to users.

Higher review velocities are also essential to attracting a broader base of customers. Customers tend to overlook or completely ignore reviews that are even several months old – even if you’ve got dozens of reviews from just a year ago, they’re not going to cut it for either prospective customers or Google. Besides, your business may transform over just a few months, so your reviews should demonstrate to people what your business is like today and what people have recently had to say about it.

Generate as many new and relevant customer reviews as possible to rise up on Google’s search results pages and attract new consumers.

Signals of engagement

Don’t forget to monitor visitors’ engagement with your Google Business page. Engagement signals such as the number of site visits, the requests for directions to your business, and how many users read your reviews all impact your Google rankings.

Google pays attention to how much time people spend checking out your listing, and an excellent way to increase this amount of time is by having lots of reviews potential customers can read. Monitoring customer activity allows you to start tracking your engagement with existing buyers as well as formulate new strategies for increasing engagement.

Conclusion

The impact that Google reviews have on your rankings isn’t going away any time soon. It’s easy to talk about your brand as the best in the business, but customer reviews are what give your claims of greatness the substance that both Google and potential customers are looking for. Incorporate the above methods to increase your Google rankings, and we guarantee you’ll soon start bringing in a consistent flow of recurring and positive Google reviews.

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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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