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Why the Future of Influencer Marketing will be Organic Influencers

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why the future of influencer marketing will be organic influencers

Influence has long been at the core of marketing – seeking it, amassing it, then effectively wielding it to achieve your goals. It’s also, uncoincidentally, what gave rise to the influencer marketing industry. 

But after riding high on the growing ubiquity of social platforms and the democratization of celebrity over the past decade, it seems influencer marketing – in the traditional sense – is in the midst of an irreversible fail from grace. 

As Casey Ferrell, Vice President and Head of U.S. Monitor (owned by Kantar) said in a recent Media Post interview:

“We are at peak influencer, and it’s beginning to run its course”

And if you’ve been paying attention to the news at all this past year, it’s easy to see why.

The (Lack of) Trust Factor

As an industry, influencer marketing has become over-saturated and beleaguered by a heavy barrage of high-profile scandals and rampant reports of fraud.

We’ve seen everything from reality TV stars accidentally posting brand instructions into their promotional posts, to a beloved social influencer admitting she’s actually a CGI robot, to brands like Payless fooling influencers into paying $640 for $20 shoes and not one but two documentaries on the absolute dumpster fire that was (or wasn’t) the Fyre Festival. 

Scott Disick influencer marketing

And that’s not to mention the numerous reports of influencers paying for fake followers or inflating engagement rates. In fact, CNBC has reported that fake followers will cost brands $1.3 billion in influencer campaigns this year alone. 

Naturally, all of this has led to a dramatic loss in consumer confidence, with only 4% of people now trusting what influencers say online. Since trust is essential to establishing credibility, which is foundational to cultivating influence, you can see why there is cause for alarm.

Real People = Real Influence

While traditional influencers may have been able to deliver the initial eyeballs brands have sought, impressions don’t equal purchases – and ‘influencers’ are far from the most influential people online. 

A recent Stackla study found that people are 9.8x more likely to make a purchase after seeing a peer’s social post, as opposed to that of a traditional social media influencer.

Stackla 2019 Consumer Data 9.8x UGC InfluenceThat’s right, 79% of people say that user-generated content (UGC) highly impacts their purchasing decisions, while only 8% say influencer-created content would do the same.

Traditional influencers also fall short when it comes to engagement metrics – studies show that the greater the number of followers someone has, the lower their average engagement rates tend to be. Conversely, posts from everyday consumers tend to garner greater engagement, are seen as more authentic and more significantly influence others’ buying decisions.

Looking at all of these converging trends, I believe the influencer industry is undergoing a major shift towards not just micro-influencers, but organic influencers.

Organic influencers are the real people who already buy your products and services and create content about your brand – they’re your genuine brand advocates. They may have 5,000 Instagram followers, or they may have 50, but the size of their social followings aren’t as important as their passion, authenticity and collective influence. 

By re-imagining your existing influencer programs with organic influencers instead, your brand can bypass the risk of mistrust that a growing majority of consumers feel towards paid influencers, while building loyal communities and rich libraries of impactful visuals that can really move the needle for your brand.

The Quality of Content You Want with the Quantity of Content You Need

One of the reasons why influencer marketing has become so popular with marketers is that they need content. But not just any content, they need high-quality content that fits within their brand aesthetic, while also looking authentic, and social media influencers were a great way to get it. 

Except that the minute you pay someone for content, it becomes inherently inauthentic. And influencers typically only create and share a small amount of photos per campaign.

With organic influencers, the content is earned, not paid, so you never lose that authenticity factor. However, your advocates don’t always naturally create the exact type of content your brand may be seeking. By inviting your advocates into an organic influencer community, you can not only cultivate a 1:1 connection with them, but you can also open the lines of communication to help guide the types of content that they post about your brand. 

For example, you could ask your organic influencers to post some winter-themed images in advance of a holiday campaign you may be preparing to launch. Want them to feature a specific product or take a selfie vs a scenic shot? Just ask, and provide examples of the types of images you want. 

Many of your advocates will be excited to have direct interactions with their favorite brand, and you’ll have authentic, high-quality content to leverage in your marketing – just remember to get the rights to that content first. Plus, Stackla’s research shows that over half of consumers would be more likely to continue engaging with and/or purchasing from a brand if it shared their photos in its marketing. 

By developing a passionate and engaged community of organic advocates, you can get the quality and the quantity of visuals you need for all your marketing channels — not just social profiles.

Amplify Influence Beyond Social

An often ignored but critical fact of influencer marketing is that your brand doesn’t own the influencer content. 

Unless it’s explicitly agreed to during contract negotiations, brands don’t have the right to the content they just paid an influencer to create – and they can’t use it outside of the third-party platform the influencer originally posted it in. Typically, if a brand wants to use the influencer’s content outside of simply regramming or reposting it on their social channels, they need to license or purchase the copyright for that content from the influencer at an additional cost.

In today’s omnichannel marketing environment, where 63% of marketers feel pressure to continually produce greater amounts of content at higher frequencies, this is not a sustainable marketing strategy. Since modern marketers are already operating at a content deficit – every new channel, medium and niche audience requires a new set of relevant and compelling visuals – the scalability and reusability of content has become an increasingly important factor of long-term success. 

Instead of paying for just one post from a traditional influencer that can only live on Instagram, tapping into your brand’s organic influencers can help you continually generate and gain the rights to a multitude of assets from a larger pool of authentic creators. Once you have permission to use your organic influencers’ content, you can exponentially increase the reach and impact of that content by featuring it across all your marketing channels.

And by putting that influential content to work at every point in the buyer’s journey, you can improve all your conversion metrics, not just at the point of inspiration.

Achieving 2020 Success with Organic Influencers

For too long, influencer marketing has been focused on the wrong influencers. Today’s largest group of consumers – Millennials and Gen Z – prioritize authenticity above all else when choosing which brands they support, and their trust in traditional influencers is at an all-time low. 

Smartphones and social networks have made your brand’s advocates the greatest content creators the world has ever seen. Brands that adopt an organic influencer strategy as part of their 2020 plans will be able to build loyal communities, while also creating scalable, authentic content experiences that deliver a real return on investment. 

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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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