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What Is Brand Perception? How to Measure It and 4 Examples

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What Is Brand Perception? How to Measure It and 4 Examples

If you take a second to think about your shopping habits, you’ll probably realize that a majority of the products you buy are influenced by brand perception. You’re not the only one — 77% of B2C consumers make purchasing decisions based solely on the brand name.

Brand perception, or the thoughts and feelings associated with a company, impacts why people wear a certain brand of clothing or pick one pasta sauce over another at the grocery store. Once consumers adopt an attitude about a brand, it’s tough to change. That’s why brands work hard to create positive associations in people’s minds, rather than negative or neutral perceptions.

When you know how people perceive your brand, it’s easier to shape its reputation, help consumers understand what sets it apart, and develop brand equity. You do this by measuring brand perception and tracking customer sentiment over time.

But before diving into the metrics, it’s important to understand what creates brand perception and how it informs company and consumer decision-making.

What is brand perception?

Brand perception is the sum of a consumer’s feelings, experiences, and thoughts about a product or service. It’s what people believe a brand represents, rather than what a brand says it represents.

Although brand perception is a mental association, it plays an essential role in creating emotional connections with consumers. People consider their attitude toward brands when choosing between competing products. They read reviews, chat with customer support, compare options with friends, or sign up for a free trial. All of these touchpoints affect brand perception and impact a company’s success.

If consumers think highly of a brand, they become more loyal to it. Consider how this dynamic plays out in everyday life. People get in meme wars over Apple versus Android products. A person who wears Nike shoes usually won’t be caught in Adidas kicks. And you probably won’t find Coca-Cola and Pepsi in the same fridge.

Companies that understand brand perception use this information to develop brand equity. While brand perception can be narrowed down to what one customer thinks about your brand, brand equity is the combination of people’s perceptions, experiences, and opinions that creates your reputation. A company with high brand equity attracts loyal customers who pick your product or service when given the choice between competitors.

When a customer is loyal to a brand, 86% will recommend it to friends or family and 66% are likely to write a positive review. Those actions drive company growth and improve brand perception, which only helps your business.

Although it may seem that brand perception is out of your hands, you can take steps to measure it and improve people’s attitudes.

How to Measure Brand Perception

Data can help you understand how consumers, employees, stakeholders, and competitors perceive your brand. Since brand perception is a combination of reviews, reputation, experience, functionality, advertising, social engagement, and customer use, you should gather metrics from multiple sources.

Here’s how to measure brand perception:

  • Conduct brand perception surveys to learn what people think of your business and how it stacks up against competitors. Ask questions that touch on emotional, cognitive, and action-oriented factors, such as these examples from Qualtrics:
    • When you think of [the brand], what comes to mind first?
    • Which of the following words describe [the brand]?
    • What kind of feelings do you experience when you think of [the brand]?
    • How would you describe your level of emotional attachment to [the brand]?
    • How would you describe [the brand] to a friend?
    • How would you describe your last experience with [the brand]?
    • On a scale of 1-10, how likely are you to recommend [the brand] to a friend or colleague?
  • Track online mentions using social listening tools or Google alerts. You want to monitor social media comments, online reviews, relevant hashtags, forums (i.e. Reddit and Quora), and news mentions. As the brand grows, so will this dataset. I recommend creating a system to handle negative mentions as soon as possible and stay on top of talk about your brand, products, and marketing campaigns.
  • Do a brand audit to evaluate how your brand perception compares to competitors’. This should include research on primary and secondary target audiences, a competitive analysis of your products or services, a thorough evaluation of your communications strategy, and a deep dive into your brand positioning. (I recommend referencing this brand audit guide from Visme).
  • Collect data from customers at each point of the buyer’s journey. This can include how buyers research information, evaluate products, compare between competitors, interact with customer support, make a purchase decision, onboard, and interact with the brand post-purchase.

Once you have enough data to measure brand perception, you can evaluate if consumer sentiment aligns with your brand identity. If so, stay the course. If not, you can learn how to improve consumer brand perception.

Brand Perception Examples

From PR campaigns to packaging, brand perception is influenced by every touchpoint people have with a company. The following brand perception examples show how businesses can shape consumer sentiments so the inner identity matches the outer image.

1. Snickers

Candy lovers can choose between dozens of chocolate-covered bars, so what makes someone grab a Snickers instead of a Kit Kat? Yes, it may be taste or preference, but the brand has designed clever campaigns to make people believe that eating Snickers will transform you from hangry and unfocused to sharp and satisfied.

2. Orangetheory

You may have driven past one of these orange-hued workout studios on your daily commute or taken an online class during the pandemic. And while fitness crazes come and go, Orangetheory has carved out a brand perception that’s kept the company going strong since 2010. The community-oriented classes make it the right fit for people looking to connect and compete with neighbors while working up a sweat. It’s more casual than Crossfit but kicks up the intensity compared to group classes at national gyms, like Planet Fitness and LA Fitness.Orange Theory Fitness Brand Perception

Image Source

3. Zoom

An innovative and beloved video platform at the start of the pandemic, Zoom quickly became the cause of remote workers’ burnout. People loved how it kept them connected to teams, families, and friends.

But the constant connection led to “Zoom fatigue,” an informal diagnosis that’s been covered by Healthline, Stanford, the New York Times, and more. While companies still rely on Zoom for virtual meetings, the brand has had to adjust from its original “Video conferencing that doesn’t suck” vibe to “How the world connects” as consumers shifted their perceptions.

Zoom Fatigue - an example of brand perception

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4. Patagonia

The outdoor gear brand became famous for its innovative clothing and focus on responsible manufacturing, but a change in consumer perception caused the company to double down on its sustainability-driven identity.

In the early 2010s, people began referring to the company as Patagucci — a satirical name that poked fun at the brand’s high prices and its adoption among high-income workers. To sway consumers from placing Patagonia in the fast-fashion category, the company has launched a number of sustainability-focused initiatives, like its Worn Wear line of recycled clothing.

 

Knowing what people think of your brand is an important part of developing a successful business. It gives you the information you need to shape your brand identity, create impactful marketing campaigns, and make changes when consumer perception shifts.

Now that you know how to measure brand perception, you can use it as a tool to make strategic brand decisions and drive your company forward.

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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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