MARKETING
7 Email Marketing Metrics to Start Tracking Now
Everyone wants their email marketing to be the best it can be. Including carefully thought-out copy, relevant links, and stylistic branding all help to make your emails more appealing to recipients. But, as a marketer, how do you know if your emails are succeeding in their job and contributing to your business sales and client leads?
Email marketing metrics present how your emails are performing and the responses they receive. These measure specific numbers relating to your emails, highlighting areas for improvement as well as elements that are hitting your email marketing goals. Using metrics can inform your email marketing lead generation strategies, create specific targets, and track your email growth.
7 Key Marketing Metrics
1. Open Rate
There’s no point pouring your energy into great email content if no one even opens it to read what you’ve written. Working out your email open rate shows you the amount of sent emails that are opened – across all industries, which is around 25% of emails. This reflects whether recipients are responding to your email subject lines and are interested in hearing from your brand.
However, this metric should be understood within the context of other analytics. Few recipients with high engagement who open emails may be more valuable than high open rates but low engagement. Similarly, open rates may depend on inbox settings, with some domains disabling open tracking or only registering emails as opened when the images within it are received too.
2. Bounce Rate
Unfortunately, around 15% of emails never make it to the inbox, and this is measured by the bounce rate. This can be a hard bounce, meaning the email ID or domain does not exist, or a soft bounce, where there are temporary issues with the address. Soft bounces are resolved by servers with time, meaning your emails will arrive in the future. However, high bounce rates suggest it’s time to clear out your subscriber lists.
All hard bounce addresses should be removed from your lists, as it skews the demographics of your email recipients and influences other metrics. Integrate double authentication features in your email preferences sign-up process to minimize fake or spam email addresses, requiring confirmation of legitimacy before adding addresses to your lists.
Sign-up processes are also a chance to answer questions such as “What is zero party data?” and show how this data improves your emails.
3. Click-through Rate
Calculated by dividing the number of clicks by total emails, the click-through rate shows how engaging your email campaigns are. A higher CTR shows many of your recipients actively read your emails and follow the included links. Regardless of whether these links are buttons to share content, find out more about products, or link to an offer, all clicks show reader interest.
Using call-to-action text and displaying buttons prominently within your emails improves their visibility. Likewise, using questions in your emails can draw readers into clicking to find the answer. Instead of including all the information, making for a wordy email, add links to questions such as “what is IO domain?” to encourage click through. Experimenting with A/B testing also identifies formats, arrangements, and visuals that make your email subscribers interact.
4. Conversion Rate
Ultimately, the purpose of marketing emails is to increase purchases. The email conversion rate calculates conversions compared to the number of emails sent. For example, if 1000 emails were sent, and 25 people who received one of those emails made purchases, your conversion rate would be 25/1000 = 2.5%. This can show the impact of email deals or offers, identifying which ones work best.
Again, call-to-action text throughout emails can direct readers to product pages or your ecommerce website. Segmenting your email subscribers helps with customer relationship management, allowing you to deliver personalized email offers, making the recipients more inclined towards your recommendations. The more relevant the offers are, the more recipients use them, boosting conversion rates.
5. List Growth Rate
When people keep subscribing to your emails, you’re doing something right. Although this doesn’t always translate into conversions, it increases the customer base your business markets to. Alongside this, you should consider your email unsubscribe rate, totaling on average 0.1% of subscribers across all industries. This shows recipient choices to disengage, not including inactive addresses removed in list clearouts.
This metric is easy to measure and, although it can be changeable, should show an increasing number of subscribers over longer periods. Use audience segmentation features to ensure all emails are relevant and of interest to your lists, keeping them engaged and encouraging others to subscribe to your emails. This ensures your marketing is constantly expanding its reach.
6. Engagement Over Time
This metric finds the times of day when your email marketing sees peak engagement. Each business and subscriber list has differing peak engagement times, influenced by the type of email content and how many emails are typically sent. Although Tuesday is generally the best day for email open rates, if promoting a Sunday event, emailing nearer the date may be more effective.
Email analytic tools can be used to identify the best time of day, week, or month to be emailing by monitoring other email metrics, including open and click rates. Engagement over time should influence the emails you send throughout the day. They also highlight key points in the subscriber’s journey with your brand when you should email, like subscription anniversaries or after new purchases.
7. Overall ROI
Your return on investment displays the amount of money made in sales regarding the initial amount invested into your email marketing campaigns. This is calculated by subtracting the amount invested from your overall sales, then dividing by the amount invested. So, if you earned £500 from your email conversions after investing £100 in email marketing, this would be (500-100)/100= 400% ROI.
This shows how worthwhile your investment in email marketing is. Improving this metric requires boosting conversions and the average order value of customers that make purchases after receiving your emails. Alternatively, using email marketing automation can reduce the cost of creating and sending email campaigns whilst maintaining the level of recipient conversions.
How Successful Is Your Email Marketing?
Tracking your email marketing metrics is only the beginning – how you use the information can transform your marketing strategy and improve your customer base interactions. Metrics are particularly useful when starting new campaigns, assessing the impact of a custom domain email, or experimenting with format, showing the effect on recipients clearly.
Finding the most relevant marketing metrics to track for your business will differ from those tracked by other brands or even different departments within your own business. Starting with thee metrics listed in this article provides a foundation for your email analytics from which you can identify other useful metrics for your campaigns. Through trial and error, find the crucial metrics for you, helping your business marketing emails to flourish.
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MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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