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ChatGPT for Marketing: How This AI Tool Will Impact Agencies

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ChatGPT for Marketing: How This AI Tool Will Impact Agencies

Once ChatGPT made its debut, the discussion about what it will do to marketing agencies started almost immediately. There have been tons of articles, videos, and podcasts on this topic. As a result, those in the industry are getting a lot of mixed messages about the impact and use of ChatGPT for marketing purposes.

If you’re feeling confused (and concerned for your business’s future), you’re not alone.

So, let’s talk about it…

How ChatGPT Can Be Used for Marketing

ChatGPT is an AI-powered chatbot that gives conversational responses to questions and prompts, making it a valuable tool for marketing purposes. Instead of typing a query into Google and reviewing each result, you can head over to ChatGPT and get a single answer. Plus, you can keep the conversation going to dive deeper into the topic or refine the responses.

Here are some common applications of ChatGPT for marketing:

  • It can help brainstorm new content ideas.
  • It can aid in keyword research for SEO.
  • It can generate ad copy.
  • It can be used to draft business emails and letters.
  • It can provide short descriptions for videos.
  • It can produce content for blogs, ebooks, etc.
  • It can assist in debugging code errors.
  • It can analyze customer data.
  • It can offer responses for customer service automation.

As you can see, there’s a lot of potential in applying ChatGPT for various marketing tasks. But that’s part of the problem—at least for some marketers. The fact that this transformative software can do all the above (and more) has left many marketing professionals scared.

Why Some Marketers Are Afraid of ChatGPT

One of the biggest concerns in the whole debate about ChatGPT is that the tool will negatively affect marketers. There’s a fear it will replace specific roles, including writers, programmers, PPC experts, and SEO specialists. But there’s also a fear it will wipe out marketing agencies entirely.

Basically, marketing professionals are worried that ChatGPT will make their jobs obsolete.

Part of this is because the applications of ChatGPT for marketing are growing by the day. As mentioned earlier, it can be used to complete a number of tasks that people usually handle. Its current capabilities are already impressive, and it will only improve with time.

The other part is the idea that ChatGPT might become a substitute for Google and other search engines. After all, it is more convenient to generate one answer than to scroll through multiple results on a SERP. So if more people opt for ChatGPT than Google, it could spell trouble for marketers specializing in SEO and paid advertising.

This isn’t the first time we’ve been threatened by new technology, and it probably won’t be the last. But that’s why it’s worth examining what we, as marketers, can do that ChatGPT can’t.

Where ChatGPT Falls Short

Despite its speed, convenience, and capabilities, ChatGPT has its fair share of limitations. There’s no doubt about that. It’s not quite sophisticated enough to take on some tasks completely. Plus, it has the potential to be…well, wrong.

Here are a few examples:

  • The answers aren’t always reliable or available.

If you ask ChatGPT a question, there’s a chance you’ll get an incorrect answer. The tool doesn’t actually know if an answer is accurate or not. Sometimes (about 15-20% of the time), it “hallucinates” and just makes things up.
Additionally, ChatGPT can’t always generate a response to a question. This often happens when you ask about current events. ChatGPT’s training data was cut off in 2021, which means up-to-date knowledge may not be available.

  • It can introduce plagiarism issues.

If you use content from ChatGPT as is, you may end up plagiarizing. Tests have shown the tool has a tendency to paraphrase or outright copy text without citing the original source. Remember that every response is based on training data. So, it’s pulling and distilling information into its own language rather than producing it outright.

  • It often requires very specific instructions.

When you use ChatGPT for marketing purposes, you still have to be pretty hands on. The tool gets confused by ambiguity, so you need to provide specific instructions. Depending on the scope of work, it may be faster to handle it manually…

Ultimately, ChatGPT’s limitations prevent it from matching us as marketers. And even ChatGPT agrees…


1675814445 466 The Rise of Web3 in Web Design 8 Ways Website

A ChatGPT response to the prompt will ChatGPT replace marketers.

What Experts Are Saying about ChatGPT

As discussed in the beginning, there are a lot of conflicting viewpoints about the use of ChatGPT for marketing and whether it bodes well for us or not. So, here’s what some of the experts are saying…

Karen Hite of Hite Digital

“I think that ChatGPT (currently at least) is as good as the person feeding the prompt to it. Which tells you the tool itself is not ready to make (on its own) an amazing copy right off the bat with just a question… I believe that true marketers will use this tool to make their lives easier AND add to it to make amazing copy that adds value.”

Perry Belcher

“ChatGPT is just the tip of the iceberg of what the automaton tsunami that’s coming quick, fast and in a hurry… For the smart ones of us who grasp these 4.0 smart technologies and keep our eyes on the horizon for what is next, this is an exciting time because we see what is ahead.”

Mark de Grasse of DigitalMarketer

In a previous article about AI’s impact on marketing careers, DigitalMarketer’s own Mark de Grasse had this to say: “You don’t have be afraid of the coming changes, but you do need to be open and aware of them. Start using AI right now, and really start to think about what makes you special as a person.”

Ann Gynn of Content Marketing Institute

In an article about a content marketing experiment with ChatGPT, Ann Gynn stated, “ChatGPT can be a useful tool, but it’s no replacement for human creativity and judgment.”

Dr. Peter J. Meyers of Moz

Soothing fears about ChatGPT replacing Google, Moz Marketing Scientist Dr. Peter J. Meyers said, “While Google isn’t going anywhere, we can expect the landscape of search to change in unexpected (and occasionally unwanted) ways in the next year.”

As for me, I think ChatGPT is just another tool. It’s something we can use to streamline our efforts and become more efficient. Of course, this is only true if you’re focused on delivering valuable, educational content (and high-quality work overall) for your clients.

How the Use of ChatGPT for Marketing Will Affect Agencies

Ultimately, ChatGPT will prove beneficial for some and harmful for others.

Here’s what I mean…

True marketers and legitimate agencies work hard for their clients. They invest in themselves and their teams, taking every opportunity to improve their skills. And they do all this to ensure they’re equipped to help their clients grow.

Becoming a successful marketing professional—no matter the specialty—takes time, effort, and passion. And despite how great a tool like ChatGPT may seem, it can’t replace years of training and experience. It can’t tackle every task or even deliver the same level of service as marketers.

Why?

Because it’s not able to do things such as the following:

  • Take brand guidelines into consideration
  • Apply principles learned from training
  • Double-check the accuracy of information
  • Speak to customers’ emotions
  • Create great copy right off the bat

What it can do is help great agencies become even better. By leveraging ChatGPT for marketing, teams can work even smarter and faster. The time normally spent on simple or repetitive tasks can be shifted to those that require a personal touch. And on top of all that, there’s also the potential to work more efficiently while keeping pricing the same.

Just to hit the point home, here’s the response from ChatGPT when asked how it will impact marketing agencies:

A ChatGPT response to the prompt how will ChatGPT impact marketing agencies.

On to the bad news…

For agencies that do the bare minimum for their clients, ChatGPT could be problematic. But that’s primarily because those types of agencies might rely on it completely. And as we’ve already covered, that’s not the way to go. Doing so will just worsen results, cause job losses, and drive away customers.

You shouldn’t run from ChatGPT and other AI technology, but you also shouldn’t depend on it.

Bottom Line

There’s virtually no chance that ChatGPT will wipe out legitimate marketing agencies. If you strive to create high-quality work for your clients, you can rest easy knowing this is just another tool you can use to your advantage. And if applied correctly, it can go a long way toward reducing expenses and streamlining your efforts.


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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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