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Email analytics: Email metrics & KPIs for sales & marketing
Learn how to strategize a new wave of email optimization by tracking analytics.
What is email analytics?
Email analytics is the method of tracking how recipients respond to and interact with your sales emails and marketing campaigns. By being able to see what content makes potential customers engage—and what gets ignored or tossed out—marketing and sales teams can refine their messaging over time. Then they check their analytics with every new iteration and see how it compares to other campaigns.
The result is more highly personalized communication, higher conversion rates, and increased sales. The good news is using email analytics to optimize your email campaigns is pretty straightforward. It only requires a few key email KPI metrics.
In this guide, we’ll explain some of the basic concepts of email analytics. As well as the best email marketing KPIs to focus on to optimize your messaging. We’ll also provide an in-depth example of using engagement metrics in a small business setting. Then point you toward some of the best software tools for making analytics simple and stress free.
Why should you use email analytics?
To put it simply—because it isn’t that difficult to do. Email analytics features are often included in common business apps like CRMs and email marketing platforms because it’s a natural fit. Seeing how recipients interact with your emails gives you a real-time view of what captured their attention and what didn’t.
Then, through a thoughtful process of constant tweaking and tracking email KPI metrics, you can trim away the elements of your emails that didn’t get positive responses. All while optimizing the features that did.
Using email analytics is a simple, straightforward way of moving more leads into your sales pipeline. But the simple act of tracking your email metrics isn’t enough to make the magic happen. You need to know how to make the most of your email engagement metrics. That way you can follow up with the appropriate actions for reaching your goals.
How do you make the most of email analytics?
There are two key things you can do to make the most of your email analytics. First, you need to have set goals in place. Whether you’re trying to improve the quality of your leads, grow your list of subscribers, or increase sales, you need to know what metrics to watch if you’re going to know how to act on them afterwards.
Before even touching your sales analytics data, identify specific goals, complete with deadlines and subgoals. Just like most things in life, optimizing sales emails using analytics starts with selecting an endpoint, and then plotting the path forward from there.
Another way to get the most out of email analytics is to have an easy-to-use email marketing software program or CRM. Not only do they usually include the best engagement metrics tracking features, they also have functions for organizing your contact database and automatically sending sales follow-up emails.
CRMs are great for compiling and analyzing all of your campaigns. That makes it infinitely easier to capture accurate data about how your recipients are responding to them.
These programs also usually come with a wide range of customizable cold email templates. These let you quickly tweak messaging to produce and share multiple iterations of the same email. Then track them to see which version got the best response. Without a good email marketing software program, you might be forced to save drafts in spreadsheets and track every little change manually. And that’s tedious, time-intensive, and error-prone.
What are typical benchmarks?
Email analytics benchmarks are the standard metrics used to determine the success of an email campaign. By comparing your metrics to the industry standards, you can gauge how far you are from performing as well as—or better than—the competition.
Here are some industry standard benchmark rates from different industries:
| Open rate | Click-through rate | Unsubscribe rate | |
|---|---|---|---|
IT/ tech / software services | 19.5% | 2.8% | .2% |
Food & beverage | 15.2% | 1.7% | .1% |
Retail | 12.6% | 1.1% | 0% |
Wellness & fitness | 21.6% | 2.8% | .4% |
Healthcare services | 23.4% | 3.7% | 3% |
Benchmark averages vary based on industry. Seeing how others in your line of business are performing helps you set realistic goals when starting out with email analytics.
What is A/B testing?
68% of digital marketers say that A/B testing has the greatest impact on their email optimizations. So that means it’s worth stopping to look at and define.
A/B testing is a process of comparing the success of two different versions of the same thing. You can run A/B tests on nearly everything to see which version—A or B—has the more positive impact on engagement. In emailing, this might involve having two versions of the same email campaign, but with different CTAs. You would send both out to different segments of your list, then track your email marketing KPIs to see which one had the highest open and click-through rates.
In A/B testing, you can try out different approaches with your messaging and see what gets the best results. Keep in mind that the content alone isn’t the only thing that can vary when comparing two different versions. You also need to test against things like the time of the day, the day of the week, and the frequency of emails, to see which variation is best.