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September 26, 20173 min read

Get the Most Out of Mailchimp

As a MailChimp user, you know that you own lot of valuable information about your customers. However, how can you get the most out of this data to drive your marketing forward?

AnswerMiner provides you with a direct connection to your MailChimp account. You can connect MailChimp and your lists to our application and import your data easily. If you have new subscribers on your list then you can recreate your dataset with one click to see the updated analytics so you have to connect your account only once.

How to Connect Your MailChimp Account

Setting up the connection is easier and faster than making instant coffee. First, log into your AnswerMiner account and click on Connect. Select the MailChimp connector icon and input the requested information (API key, List ID, Merge fields). Use commas and no spaces to separate merge fields.

mailchimp api key

Here you find your Mailchimp Api key

mailchimp list id

Here you find your Mailchimp ListID

Imported Data

Beyond the basic information (open rate, click rate, e-mail, name, etc.), you can import the value of your Merge fields that you have collected about your clients. You can send many index numbers to your MailChimp list. For instance, if you run a web shop, you can measure your registered customers, the length of stay on your website, if they used a coupon or not, how many items were bought, the payment method and so on. The administrator of your website can help you learn how send this information to Mailchimp. If you do not use this function, then you should change it as soon as you can. Your competitors are already using it, so don’t be behind.


You imported your MailChimp data so that you can analyze, visualize, and find correlations between facts. It is best if you start with our Relation map to see on the big picture of which factors correlate with each other. It is a good starting point to see the strongest and the weakest connections all at once.

Keeping with the previous example of an online store, there are obvious connections between some factors. For example, the longer the customers spent the site, the more they would buy or a registered users buy more often than guests. However, what if you wanted to see how two or more factors move together? Our prediction tree gives you the answer.

After selecting your goal value (for example, the number of items that were bought) the prediction tree shows you the history of this value in relation to other values.

Here is a quick example to demonstrate:

prediction tree

The selected value (bought items) is an average of 3.8 items. The tree shows that those who are subscribed bought an average of 4.2 items, and if they spent more than 10.5 minutes on the site then, the average number of items bought is 4.8. If the customer is subscribed, spent more than 10.5 minutes on the site and used a coupon, then the average number of items bought is 5.2. However, if the buyer subscribed but spent less than 10.5 minutes on the site, then he or she bought fewer items than the average. The depth of your tree depends on how many usable Merge fields you have.


As you can see, your MailChimp list contains more than it seems to at first glance. With a few clicks, you can optimize your campaigns and increase your selling. AnswerMiner helps you connect easily and explore your hidden resources.

Upload or connect your data source and analyze data in your spreadsheets

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