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Testing and Optimisation

The secret of successful email campaigns are to get more information about your customer segment by testing different items. By tracking how your customers react to these items, you can appeal to your customers by optimizing your next email strategy in the right way.


On this page you will find detailed information about the different test and optimization tools offered by RMC.




Email A/B Test 
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It can be difficult to predict how your customers will react to your email marketing strategies. By analyzing your customers' interests and desires, you need to implement email strategies that will appeal most to your customers.

With a variety of A / B tests, you can improve your strategies and achieve your target turnover rates by testing different customer strategies.


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For suggestions and useful information, you can browse our blog postings

on the subject line optimisation: 5 A/B test proposal for your email

:

Blog - Related Digital



Subject Optimisation 
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Subject Optimisation has the greatest impact on the email opening rate. If you want to increase your opening rates, you should regularly test the subject lines. If the subject line is not attractive enough, it may go unnoticed or will be deleted read without reading. Hence, right email, right time and right audience is the key for greater opening rates.

With the RMC Subject Optimisation feature, you can easily offer customised subject lines with your preview text fixed, and easily determine how subject lines should vary to according with different results.

You can, for example, have a group of customers who received email with subject lines of emojis, while other customers receive email with subject lines containing only plain text. You can measure turnover rates with the A / B test, hence better strategise your subject lines. 

How does it work?

  1. To use the Subject Line Optimisation feature, you can follow the steps Campaign> Email> Create.
  2. In the Email field, enter the subject line

  3. Alternative Email By clicking on the Add Subject button, select up to 3 alternative subjects..



Note

Warning: The system is set to optimise for 1 hour for 10% of the data to be sent. You can edit this  hour and percentage rate on the Delivery Options page. With this feature, the system optimises your campaign for 3 hours by dividing 10% of the data to be sent into 3 equal parts with 3 topics. At the end of this period, the most read Subject Line is being sent to the remaining data.

Note

Warning: Topic Optimisation works better when used on campaigns sent to a large group of users. We recommend that campaigns with at least 10000 users to ensure that the results of the Subject Line Optimisation are statistically significant.



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For suggestions and useful information, you can browse our blog postings on the subject line optimisation:



Control Group 
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The control group randomly excludes a specified audience from the sender list. This unsuccessful mass is called the "Control Group".

One of the problems that marketers are facing is that they cannot measure exactly what effect marketing campaigns send. If you submitted a campaign, a user might have already purchased a product on your site, but how would you know that they would not buy it if you did not send it?

Using the Control Group feature, you can compare the purchase rate of users who receive the email campaign with the purchase rates of the control group. You can optimize your marketing budget accurately by determining the real impact of the campaign



Note

You can use the Control Group feature in Email, SMS and Push campaigns.

Note

You can contact the RMC Support team or your account administrator to activate the Control Group feature.


How does it work?

  1. Create a campaign by following the steps on the Compose Email page.
  2. To use the Control Group feature, select "Control Group" under "Campaign Sending Speed and Limitations" in the "Options" section of before submitting.
  3. Enter a percentage rate to determine the size of the Control Group. For example, if the sending volume is 1 million, and the control group is 10%, then the system will randomly select 100K of this 1M population and excluding that 10%.
  4. Once the campaign submission is completed you can compare the purchasing behaviour of the users in the control group with the users who actually received the campaign. Hence accurately determine the effect of the campaign.

Main Page: Campaign