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What Is An Email CTR? How to Calculate and Improve It

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What Is An Email CTR? How to Calculate and Improve It

An effective email marketing campaign has the ability to strengthen your brand, engage existing and potential customers, and move them to action.

At the very least, emails will keep you front and center in your audience’s mind. Since email is one of the more personal touchpoints you can use to build rapport with your customers, you have a greater opportunity to make your emails meaningful and successful.

Email marketing has sustained its popularity due to its ease, low expense, and effectiveness. According to Litmus, four out of five marketers would rather give up social media than email marketing. But how do you measure success for email marketing campaigns?

One key metric email marketers can use to determine how well their email campaigns are performing is the click-through rate (CTR).

Ideally, your email subscribers aren’t haphazardly clicking on links. No, you want them to take intentional action from your emails.

Maybe you want them to buy your product. Or (if you’re a nonprofit) to donate to your cause. Perhaps you want them to sign up for your latest program, or even just take a survey so you can learn more about their needs. The point is that just about every email you send out will have some sort of call-to-action that often requires recipients to click on a link and head to a website to carry out that desired action.

That action of clicking on a link in your email and heading somewhere else is what contributes to your CTR. The same applies to pay-per-click (PPC) marketing where you pay each time your link is clicked from an ad impression.

CTR Formula

Now that you understand what a click-through rate is and why it’s so important to your marketing efforts, how do you actually calculate it?

How to Calculate Email CTR

For email, the CTR formula is as follows:

CTR = Number of People Who Clicked A Link / Number of Emails Delivered Successfully x 100

Email CTR Formula

Let’s say you sent an email to a list of 110 people and 100 were delivered successfully to their recipients. Of those 100 recipients, 35 of them clicked on your CTA and were sent to a new page. Using this data, here’s how you would calculate your CTR:

CTR = 35 People Clicked A Link / 100 Delivered Emails x 100 = 35%

How to Calculate CTR for PPC

Here’s the formula you would use to calculate the click-through rate of a PPC campaign:

CTR = Number of People Who Clicked on Ad / Number of Ad Impressions x 100

How to calculate the CTR of a PPC campaign

Using this formula, if 200 people saw your ad and 20 people clicked on it, you’d be looking at a CTR of 10%.

What is a good click-through rate?

The appropriate CTR for your business will depend on your industry, budget, campaign objectives, and audience size. Let’s look at what the research has to say.

Average CTR

According to MailChimp, the average email click-through rate across industries is 2.91%. Industries that had some of the highest click-through rates included Government (3.99%), Media and Publishing (4.62%), Home and Garden (3.03%), and Hobbies (5.01%).

For PPC click-through rates, the average across industries is around 2%.

Improve Your Click-Through Rate

Once you’ve calculated your CTR and compared it to industry standards, you may want to take steps to improve it and create more successful email and PPC campaigns. There’s a small possibility that you’ll receive feedback from customers regarding your campaigns, which means that most of your information will come from testing.

First, take a look at your old email campaigns. Gather them into two categories: those that performed well (had relatively high CTR) and those that saw little success (relatively low CTR). Take time to analyze these messages and note any major differences or patterns.

You’ll want to examine:

  • Ad Copy: Can it be shorter? More personable? Easier to understand? Aim to use language that resonates with your audience which may deviate from industry lingo.
  • Design: Are your emails visually appealing and inviting? Is it clear what next step the reader is supposed to take?
  • Call-to-Action: How clear is your CTA? Experiment with placement and language to see what works for your audience. Also, consider limiting CTAs and links to one or two per email. When presented with too many choices, readers may get overwhelmed or confused.

You’ll also want to step into the mind of your audience. Just because you’ve created an impressive email or ad, doesn’t mean that it’s appealing to the people you are trying to attract.

A good email service provider will offer A/B testing so you can send one variation to one segment of your audience, a second variation to the other segment, and then compare the CTR to see which one performed better.

Whether you pay by the click or pay very little for a monthly subscription to an email service provider, you are still spending time and putting forth the effort to reach your audience and convert them into customers. You want a return on your investment. you want your marketing efforts to pay off.

Ensuring that your ads and email campaigns are effectively written and designed and that they reach the right audience, will help you build and sustain the customer base you’re looking for. In order to determine that, you’ll need to get familiar with your current click-through rates, and optimize your content to create the best possible outcome.

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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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