How to Drive Better Email Marketing Campaigns with Data Analytics

With around 250 billion emails sent daily, how would you make sure the recipients open yours? It is true that emails deliver the best ROI but not unless it reaches the relevant audience. If you run a campaign, but it doesn’t work out, it won’t be of any use.

One element that can ensure the success of your email marketing campaign is the utilization of consumer data. With the help of user data, you can send timely and relevant emails through personalization, segmentation, and automation.

Types Of User Data

Various types of user data can be used to make your email marketing more effective. Read on to find out which data is suitable for your campaign.

1. Behavioral Data

To run a successful campaign, it is essential to know your audience‘s interests. Behavioral data is a reliable indicator of knowing that. It can be collected from the emails that your recipients open and the ones they don’t.

Another significant way to collect behavioral data is by analyzing the rate of abandoned carts. People usually leave the products in their carts because of several factors such as the shipping charges or extra tax charges.

You can use this data to send the recipients personalized discount offers or similar products that they might be interested in.

2. Demographic Data

Demographic data includes the basic information on your audience, such as their age, location, gender, etc. You can conveniently collect this data from the information they provide you in the signup. In addition, these details are consistent and reliable.

You can use them in different email marketing strategies, such as the personalization of emails. Here you can address the recipient directly by their first names in the subject line and intro of the email. This increases the chances of catching the recipients’ attention and increases the open rate by 16%. You can do this with an email service provider that helps you carry out cheap email marketing.

Besides this, demographic data can also be used in the segmentation of the email list.

3. Transactional Data

This data includes the first and last purchase item, the date, number of past purchases, average order value, the amount spent, and product purchase history.

All of these details give you an insight into your customers‘ activities. For example, you can observe who has purchased which items the most. In addition, you can import these details into your ESP to use them to improve your email marketing campaigns.

4. Customer Preferences

The type of data in this category is dynamic “ it changes over time. Preferential data might even become irrelevant after some time. It includes your customers‘ ideal products, brands, services, size, or category at a particular time.

4 Ways You Can Use Data Analytics To Drive Better Email Marketing Campaign

Here are four effective ways to use data analytics to drive better email marketing campaigns.

Segmentation

You can use data analytics to segment your email list. This can help you in sending customized and personalized campaign messages. It has the potential to generate 58% of total revenue. However, according to studies, 42% of marketers are still not using this strategy.

You can use email blast services to approach segmentation and create effective email marketing campaigns. Besides grouping the email list by preferential, demographic, and transactional data, you can specifically select one data type to enhance your targeting.

Personalization

Personalization has proven to deliver six times higher transaction rates which is a considerable percentage. However, still, some brands disregard the personalization tact.

You can use data analytics to send your recipients’ personalized messages and emails. Send discounts to your loyal customers and email them products according to their preferences.

Timeliness

Sending the right emails at the wrong time can eliminate the effectiveness of your business’s email marketing campaign. You might have put a lot of thought into it, but your recipients will easily ignore them if the timing is wrong.

You can conclude the right time based on the goal of your email.

Automation

Automation is only possible because of data analytics. If you don’t know what your audience is interested in, you cannot segment the audience to send the emails automatically.

Without essential data on your audience, you would have the email automation tool, but you won’t know how to make the most of it. You will also be clueless about the timings to send the emails, so scheduling won’t be possible.

Wrapping Up

Like every other technology, email marketing is also progressing with time. As a result, you have options to automate and personalize email marketing which you didn’t have before. This is why you constantly need to adapt to the new practices and stay relevant to the time. Using data analytics, you will always stay updated with your customer‘s interests, recent trends, and elements that can help you optimize your email marketing for today.