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3 social media trends impacting marketing in 2022

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3 social media trends impacting marketing in 2022

Although brands have been leveraging social media to market their products and services for over two decades, there have been major shifts in marketing practices over the past few years. New trends — spurred on by the ongoing pandemic and emerging technologies — are forcing marketers to continuously update their strategies.

“Things are changing fast — things are incredibly complex,” said Mike Baglietto, the global head of market insights at market research company NetBase Quid, in a recent webinar. “Finding these unmet needs and shifts in customer behavior is becoming important for our businesses to succeed. We need to be able to sift through information quickly to find these insights to help drive our strategy.”

Unfortunately, traditional methods of social media analysis are no longer working. According to Baglietto, they’re difficult, time-consuming, and no longer work in today’s world: “This is partly because there’s so much data, but also because it’s siloed in a number of different systems with disjointed workflows.”

limitations of traditional social media analysis
Source: NetBase Quid

On top of these fragmented data issues, more and more marketers are searching for the latest insights and technologies to help them prepare for social marketing changes on the horizon. To help with this, here are three of the most important social media trends to look out for in 2022.

Virtual and augmented reality technologies

“There have been so many different changes to ways people are interacting on social channels,” said Harvey Rañola of NetBase Quid in the same webinar. “One of the things we’ve been seeing as an emerging trend — even before Facebook decided to rebrand their corporate entity as Meta — is augmented reality.”

He added, “Before that, we were already seeing these trends in how brands were engaging with potential customers, enabling them to virtually try out their products.”

Rañola highlighted Ikea’s virtual design rooms as an example, which let customers map out the furniture they had in their online inventory using an AR interface. Other big brands, such as Nike, leveraged technologies to allow people to measure their feet and try on shoes virtually.

2022 social media trends related to AR and metaverse
Source: NetBase Quid

Brands now have the opportunity to improve customer engagement with new technologies. Here are some VR and other metaverse technologies brands can consider implementing to improve social media interactions:

  • Photo filters featuring your brand’s logo
  • Virtual tours of places of customer interest
  • QR codes that, when scanned, immerse users in AR experiences

Personalized marketing content

VR/AR aren’t the only major trends floating around social spaces. Brands have begun leaning into personalized content more heavily than ever.

“Personalization is something that we are all familiar with … At the heart of it is delivering content that is relevant to your users,” Rañola said. “They expect their content to be relevant, and that encourages them to engage with you.”

Consumers today expect personalized content, especially on their social channels. According to a report from Sprout Social, 61% of consumers expect companies to provide personalized experiences on social media based on previous brand interactions, and 59% expect companies to read and analyze what they post on social media.

marketing personalization data
Source: NetBase Quid

However, marketers walk a fine line when it comes to personalizing social media content — brands can unwittingly venture into “creepy” methods of interaction when using data consumers aren’t aware has been shared. A study conducted by CheetahDigital found that roughly 52% of social media users find ads based on recent shopping experiences from other sites creepy.

The best personalized social content is both highly relevant and based on information users have consented to share with brands. This not only builds consumer trust but also fosters greater levels of engagement with increasingly niche audiences.

“When we think about the type of content being talked about and streamed on Facebook and Instagram, most of these are related to people’s interests,” Rañola said. “The ways people are consuming content are becoming extremely niche.”

Marketing influencers and detractors

Influencer marketing — the process by which brands use external content creators to communicate their messages — has grown a lot as a result of the pandemic. More brands have found influencers’ less scripted styles to be more enticing to consumers.

“Influencers continue to be a very important part of what your marketing program should look like,” Rañola said.

He then referred to an Adweek influencer study, which found that influencer marketing increased ROI — companies make roughly $6.50 for every dollar spent. But the benefits go beyond improved profits — a survey from Matter Communications found that consumers often trust influencers more than the brands themselves.

influencer marketing
Source: NetBase Quid

“The influencers and the clout that they have with their followers go hand-in-hand with the personalization of content and driving engagement,” he said. “These influencers are not going to be going away anytime soon … Influencers are key to being able to unlock better ROI and gaining greater reach within your space.”

Marketers that are available to personalize digital interactions through the latest influencing strategies and technologies will have the best chance of succeeding in the wake of social media trends in 2022 and beyond.

Watch this webinar presentation at Digital Marketing Depot.


About The Author

1640828540 338 Why brands must embrace responsible marketing practices

Corey Patterson is an Editor for MarTech and Search Engine Land. With a background in SEO, content marketing, and journalism, he covers SEO and PPC to help marketers improve their campaigns.


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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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