How To Put Your Email Marketing Analytics Data To Good Use

Analyzing emails carries a lot of weight as it gives you an accurate image of how well your emails work for your audience. But performing this analysis isn’t easy—data science is often a bit dry, easy to get wrong, and time-consuming. 

But don’t worry! In this article, we’ll go over the most important metrics you can use to measure the success of your email campaigns. With a better understanding of email marketing KPIs, you’ll be able to increase your email revenue across the board. We’ll also give you benchmarks to help you figure out what numbers you should be aiming for.

What are email analytics?

Email analytics refers to the art of tracking how your subscribers respond to your emails. Email marketers often look at email delivery, engagement, and conversions, among other metrics. 

These figures give you a clear picture of how well things are going, such as the level of user engagement and loyalty, common patterns of behavior, and the good and bad parts of your content. With this information, you can use advanced behavioral segmentation to give your subscribers a more tailored experience. You can also use this data to inform how you look at your audience (including in creating a customer journey map!). 

Which metrics should you keep an eye on?

So, what email metrics should you be using?

Fear not! We’ve got you covered. First, we’ll talk about the metrics that every email marketer should be keeping track of. Then, we’ll look at how to connect certain metrics to your own goals.

Subscribe rate

Your subscription rate is how many people sign up for your newsletter over a certain amount of time. Here’s how to calculate it:

Subscribe Rate = [ (Number of new subscribers) – (Number of unsubscribes)/Total number of email addresses on your list ] * 100

Subscription rates are very industry-specific, but as long as you gain more subscribers than you lose, you’re good.

Unsubscribe rate

Your unsubscribe rate is critical for knowing how many people have lost interest in your marketing efforts or brand. Here’s how to calculate it:

Unsubscribe Rate = [ Number of unsubscribers/Total number of email delivered ] * 100

To reduce unsubscribe rates, restrict how frequently you send emails to less engaged consumers and make your emails relevant to the person receiving them. Unsubscribes will always occur, but increases in your unsubscribe rate should prompt an investigation on your part.

On a campaign level, unsubscribe rates should be less than 0.5%

Note: We also propose incorporating spam complaints into this measure as they are considered unsubscribes but are handled differently.

Open rate

Your open rate is another essential deliverability measure since it demonstrates that emails reach clients’ inboxes and that either the brand or the subject line piqued their interest. Because counting all openings might bias the statistics, most brands only factor unique openings into their open rate. 

Here’s how to calculate it:

Open Rate = [Number of customers who opened the email/number of emails delivered] * 100

Senders with a healthy list and an engaged audience often achieve 30 – 40% open rates on bulk emails. At least 20% plus is the ideal benchmark to strive for.

Here are some open rate benchmarks for specific types of emails:

open rate benchmarks

You may enhance your open rate by A/B testing various things like the time that you send your emails, the subject line utilized, the sender name, pre-header, or customization in the subject line.

Click rate

Your click rate reveals how many consumers clicked on your Call To Action (CTA) or link out of everyone who got your email. Here’s how to calculate it:

Click Rate = [Number of clicks on your emails/Number of emails sent ] * 100

A low click rate may indicate that people didn’t see your CTA as “clickable” — maybe it wasn’t interesting looking, maybe it looked spammy, or maybe it annoyed them. 

A low click rate is one of 2% or under. Anything over 3% is fairly good.

Bounce rate

Your bounce rate alerts you to how many of your emails are permanently undeliverable. A high bounce rate is anything above 1%. 

A high bounce rate might be caused by being banned or sending emails to defunct email addresses. If you’re getting a high bounce rate, look at the status messages or code returned to you to figure out what’s happening. 

Here’s how to calculate your bounce rate:

Bounce Rate = [Number of emails bounced/Number of emails sent ] * 100

Some email providers will restrict a domain with a bounce rate of 1% or higher for bulk marketing since it shows poor email list health. Generally, it would help if you strived to maintain your bounce rate below 0.55% — the recommendation from the email marketing giant MailerLite:

email marketing benchmarks

How to make the most of your email marketing analytics data

No matter how good your email and eCommerce analytics are, spending your whole day poring over statistics won’t get you anywhere, nor will ignoring them. We offer a five-step method for making the most of your data, outlined below:

Step 1. Schedule time to check your metrics

Schedule time to review your email stats as a monthly or weekly ritual. Use a spreadsheet to keep tabs on the data that matters. You should provide both the total and per-email count.

Schedule a separate analytics check-in after a significant lead generation campaign or the release of a new product. Email data can help you assess the success of these. 

Also, it’s a good idea to have a more in-depth analytics check-in at the end of each quarter and year. This will allow you to review data from prior months to spot trends over a longer period. Often, these seasonal trends don’t appear when you look at weekly or monthly data. 

Step 2. Analyze the numbers you get

In general, these are the three steps that are taken when marketers examine data from their email marketing campaigns:

  1. Marketers look at clickstream metrics (like open rate, CTR, and bounce rate).
  2. Marketers compare these Key Performance Indicators (KPIs) to both the baseline and goal benchmark.
  3. Marketers think of strategies to boost performance in each statistic based on the results they see.

We recommend expanding these steps and adding in a deeper analysis of consumer behavior, demographics, and content trends. Here are some questions you might want to answer in this analysis:

  • Which sorts of articles get the most clicks?
  • Which topics often generate the greatest interest from readers?
  • Have you gained or lost any subscribers since your last check?

These details will allow you to direct your client acquisition efforts toward the customers most likely to become repeat buyers. Your advertising team may also benefit from the information provided by your customer profiles when deciding which medium to use in distributing their messaging.

Step 3. Refine your content

When you have a firm grasp of the data and your customer profiles are up to date, you can utilize this information to guide the direction of your content creation efforts. Here are some of the ways you might refine your content:

1. Optimize your marketing strategy overall

Review the notes you took throughout the introspection phase to help you with this. Keep an eye on what works and what doesn’t when it comes to different kinds of material. You may even look at specific emails to get a sense of their layout, tone, and the details they provide.

With your newfound knowledge, consider the following questions:

  • What factors influence whether a piece of advertising is successful?
  • Is it possible to adjust your content strategy to emphasize currently trendy forms of media?
  • Is it possible to add additional content types or analyze the content differently (like with  Facebook Ads reporting, for example)?

When optimizing your email content, start by reviewing your planned actions for the next three months of email marketing. Then, improve your engagement rates over the next month by identifying individual emails that can be updated or replaced. Keep track of the changes you want to make and the alternatives you intend to use and compare their success.

2. Consider personalized emails

When people sign up for your newsletter, they will automatically receive a welcome sequence of emails. You can customize these emails for each individual user to build stronger bonds with them and provide some opt-in incentive. 

Here’s an example of a personalized email we really like. This email teases the contents of the newsletter and relates to the reader using something they are already interested in. Quite clever, really.

personalized email example

3. Refine your newsletters

It’s crucial to optimize your newsletters to increase readership. Here are some suggestions to help you optimize:

  • Optimize your email’s subject lines.
  • Make your preview text concise.
  • Add headings and empty lines to help break up the material.
  • Take the focus back to the client.
  • Incorporate a prompt for the reader to take some kind of action.

Make sure you always consider readability above else — you don’t want your emails to come across as stale. 

4. Renovate your sales emails

Several factors should be considered if the results you expect from your marketing emails aren’t what you hoped for. These factors include:

  • Design. Do you have a mobile-friendly email service? Does it use aesthetically pleasing elements like white space and high-quality images?
  • What you offer. What are you trying to sell with this email? Does the email text for this product or service make it clear to the reader how they will benefit from purchasing it?
  • Time between emails. How many emails did you send in a week to advertise this particular product? Try not to send more than two marketing emails weekly.

Always keep in mind how the customer will benefit from your offerings. If they are all about you, you run the risk of boring customers. 

Step 4. Refine your audience profiles

Customer profiles are useful for gaining insight into your target market. To achieve this, you’ll need to imagine a customer that symbolizes a subset of your current or future clientele. Every company needs at least three distinct personas to draw from:

  • Your most valuable client
  • Your newest patron
  • Your ideal customer

You may wish to create many profiles in each group if your product or service is suitable for a wide variety of consumers. For instance, if you offer high-end kitchen appliances, you may wish to segment your “best client” profiles into “first-time homebuyers” and “stay-at-home mothers.”

In terms of the content of these profiles, consider including:

  • Statistics on the demographic
  • Goals
  • The problems that you could solve for them
  • Justification for wanting to buy what you’re selling

Email analytics data may be used to expand these profiles over time. 

Step 5. Optimize your lead generation

Marketers use lead generation strategies to attract new email subscribers through social media and websites. Social media efforts may range from straightforward strategies like adding a form to the sidebar of your website to the intricate ones.

Website-based lead generation strategies include: 

  • Creating several different registration options
  • Adding an opt-in bonus offer
  • Developing and refining a landing page
  • Offering gifts, free trials, and other free content for new email list subscribers

Make the most of your email marketing analytics with Triple Whale! 

Email analytics is the best friend of any successful marketer. To make sure you get the most out of them, make sure you: 

  • Always double-check your figures
  • Consider your stats in context
  • Improve your consumer segmentation
  • Constantly edit the content to make it better

Seems a bit too much for one person? Enter Triple Whale! Triple Whale is an eCommerce tool that provides you with improved financial, tracking, reporting, and ROI insights. Advanced tools like Triple Pixel, Cohort Analytics, and Predictive Calculator that help you track emails and finances are what make Triple Whale a killer deal for any organization. 

Written by Triplewhale (Auther: Colin Dougherty)

Link to Original Blog: https://www.triplewhale.com/blog/email-marketing-analytics-data

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