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5 Myths Marketers Got Wrong About Gen Z, According to Data & Our Gen Z Intern

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5 Myths Marketers Got Wrong About Gen Z, According to Data & Our Gen Z Intern

To be honest, Gen Z can feel like foreign territory to all. Even myself, born in 2001. Although I’m smack in the middle of the TikTok, middle-part wearing generation, I don’t always fully understand the trends we start, stop, or totally cancel.

Even though I’m no genius when it comes to how to market to our generation, I can tell you it’s pretty obvious when marketers try too hard to sell to us. It often feels too forced and fake.

That’s why I’m here to help! Let me debunk a few myths and predictions marketers might have made about our wild generation so that you can find the right ways to grab our attention and keep us engaged. Let’s dive right into some of those incorrect thoughts, debunk them with data from our State of Consumer Trends Survey, and discuss tips for what you can do instead.

5 Gen Z Myths, Debunked

1. “Gen Z is obsessed with fast fashion.”

It’s easy to see SHEIN or Princess Polly hauls on TikTok or Instagram and think these represent our generation. Of course, these online retailers do have a grasp on our generation to some extent, but what grabs our attention are retail resale sites. For example, 90% of Depop’s users are younger than 26.

Today, Gen Zers are purchasing this apparel, but in a much less harmful way, being that resale clothing is second-hand.

Instead of getting caught up in cheap prices and deals, Gen Z, more than any other generation, considers the brand’s ethics and its stance on social issues. You don’t just need to take my word for it. we surveyed over 100 Gen Zers and found that how a brand approaches social responsibility has a real impact on Gen Z purchase decisions.

does gen z think companies should take a stance on social issues

And, when we asked whether companies should take a stance on social issues, 50% of Gen Z said they should. As a marketer, this means that, if you haven’t already, you need to prioritize this for Gen Z and even younger millennial audiences.

I also urge you not to think of social issues as a broad term that is often thrown around without any substance to back it up. Instead, break it down into specific issues that you can actually fight with tangible results. And, just to help you out even more, here is where to start:

When we asked Gen Zers who want companies to take a stance on which issues are most important to them, racial justice was by far the top issue (69%), followed by LGBTQ+ rights (50%), gender inequality (46%), and climate change (42%).

2. “Data privacy and security are irrelevant for Gen Z.”

I get why many people believe this one. Gen Z is known for being glued to their phones, which obviously comes with the risk of unsecured and unrestricted data.

Furthermore, we are the TikTok generation, and – as many of us know — TikTok has had its share of privacy concerns. And yes, we may come across as irresponsible at times, especially when it comes to social media (the milk crate challenge was not the best idea); but don’t underestimate us.

As the first generation born into a technology-based world, we’ve seen the realities of a digital space more than any other generation, so data security and safety are naturally top of mind.

Gen z is more likely to purchase from brands that do these things.

As you can see in the graph above, Gen Z purchase decisions are strongly influenced by whether or not they can trust a company with their data (as it is the second highest ranked consideration before purchase, at 83%).

The data above means that, as a marketer, you need to convey data privacy to our generation and can’t just assume we don’t care about these criteria. Assure us that we aren’t being scammed or exploited. We may not always prioritize it over experience and entertainment (as seen with our usage of TikTok), but don’t believe that you can do anything with our data, and we won’t mind.

3. “TikTok is The Best Way to Reach Gen Z”

TikTok is a great space for Gen Z; it offers a genuine feel to the content that no other app provides. This style is quite attractive for some of our shorter attention spans and busy schedules. In fact, TikTok is the app Gen Z uses most often. Despite this, surprisingly (or not), it’s not our favorite social media platform.

When we asked Gen Z their favorite social media app, Instagram and YouTube easily took the cake, with TikTok placing third, as seen in the graph below.

Gen z's favorite social platform

From your perspective as a marketer, this means that even though a significant effort should still definitely be made to generate TikTok content, don’t forget about our trusty old friend Instagram – even for Gen Z.

There are many reasons why Gen Z shies away from directly buying on TikTok. These include the concern for data privacy previously mentioned and just wanting to use that space for the sake of connection and entertainment rather than advertisements and purchasing.

So, If you plan to sell directly through social media, Instagram definitely should be your go-to (as 28% of Gen Z saying they bought something directly in a social media app in the past three months).

HubSpot’s recent Instagram Marketing Report goes into more detail on why the app presents such an opportunity for social marketing and selling, so don’t lose sight of it!

4. “Put a product in front of Gen Z, and they’ll buy it.”

Even though we do gravitate towards TikTok-style content, that doesn’t mean we’re receptive to just any type of short-form videos, including those that market products.

Before making a purchase via social media, we need to be made to feel like we found the product on our own. We don’t want to feel forced into any decision, especially when it comes from a clear advertisement that we can’t relate to.

To persuade Gen Z, brands must prioritize making entertaining content that feels authentic to grab our attention. Then, once they have our genuine interest, they can more easily slip in their product rather, than getting yet another eye roll from us.

how gen z discovers new products

As this graph above shows, the top way we prefer to discover a new product is through TikTok, Reel, or other short-form video formats, where the product is shown but not imposed on us. In a world where we are often made to feel powerless, we strongly value a sense of autonomy and agency– help us feel empowered through your actions.

5. “Word of mouth is a great way to reach Gen Z.”

Yeah, I know this may seem contradictory as we really like to talk but hear me out. As just outlined, Gen Z is stressed: we feel out of control, doomed, and like the weight of the world lies on our shoulders.

With that comes a unique sense of camaraderie and connection among us. As a result, Gen Zs trust other Gen Zs as they are also going through the same shared emotions. And, what better way to unify than via social media?

We have turned social media and online communities into our modern-day version of word of mouth. Therefore, we even trust influencers’ recommendations more than those from our friends and family.

top Gen Z channels

This graph above helps emphasize that your marketing focus should be on connecting with Gen Z in the spaces we feel comfortable: social media. Sorry, Mom and Dad, but you don’t have much influence over us anymore.  

More Resources for Marketing to Your Target Audience

Now that we’ve explored and debunk some of the biggest Gen Z myths and predictions, you might be wanting to learn even more about the generation and how they shop. Here’s a quick list of more data-driven resources that we hope you enjoy:

And for a detailed deep dive into all of our consumer trends data survey (including insights not on the blog), download the free report below.

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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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