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Jun 30, 2022
5 minutes read

How to Get More Leads With SMS and Email Marketing

If you're using SMS or email - or better yet, both - as marketing channels, you set up your message, send it out and analyse the results. But how do you improve that message for better results the next time you send out your SMS or email? The reality is that a large number of businesses don't use SMS or email marketing to their full potential, and that's because they don't always use the proper techniques to improve the open or conversion rates of their marketing messages. Once you know how to get started with the conversion optimisation of your marketing campaigns, you will be able to significantly increase your conversion rate and start to utilise your marketing channels to their full potential.

Conversion optimisation for mobile marketing 

Conversion optimisation is the process of testing and experimenting to improve all possible facets of your campaign. This can be the headline, the text in the message itself, the audience you're sending it to, the time of day and more. Everything that your message entails can be subjected to optimisation.  

If you want to start optimising your messages, it's best to do so in a structured way. The structure ensures that you can learn from these results later on and that you don't just start testing things based on gut feeling.  

Six steps for conversion optimisation 

  1. Establish a mobile marketing baseline 

To determine whether a new version of your message performs better, you first need to know how it has performed in the past. Establish a baseline to compare the results of your new message to. Be sure to note any relevant data like 

  • the number of recipients
  • time of day
  • day of the week
  • time of the month (e.g. did you send the message around pay-day or just before when everyone postpones spending money until their paycheck arrives?)
  • open rate
  • click-through-rate (CTR)
  • amount of conversions (note: specify what a conversion is for you)
  • conversion rate
  • and anything else of importance

2.Analyse the results of the message you want to improve 

To learn how your message can be improved, it's important to analyse the results. Which parts of your message are not performing as well as expected? Is the open rate lower than expected? Or are people opening your message but not taking any further action based on the message's contents? Your analysis will tell you which parts of your message can do better and help you formulate your goal.  

3.Determine your goal

If your open rate is low, your goal will be to start improving that. If you would like to improve multiple parts of your message, start with identifying the most important one. If, for example, your open rate and click-through rate of the message's contents are low, it would be better to first work on the open rate. After all, no one will see your improved content if no one is opening it in the first place. So, determine your goal and let that direct your focus towards the thing that needs improvement most.  

4.Form your hypothesis 

You have a pretty clear idea of what you need to improve to reach your goal by now. But how are you going to do that? It would help if you formed a hypothesis about what you think would work better than your current message. You may already have some ideas about things that might work based on previous experiences. Or you may have no idea where to start. You can start with evaluating some email/SMS marketing best practices and see whether these would fit your business. You will only know whether these are suitable for you once you start testing, but it gives you a solid starting point. 

5.Set up the test

Once you have done the analysis, determined your goal and formulated your hypothesis, it's time to set up your test. The best way is to do an A/B test. An A/B test compares version A (the original version) to changes made in version B while all other conditions are kept the same. If you send the test to a big enough group of recipients and all conditions (e.g. time of day, day in the week, type of audience etc.) are kept the same, an A/B test will let you conclude whether the results can be attributed to the made changes or whether they happened due to chance. 

This depends on your sample size. You need to send it to a big enough group of people to determine whether the results you achieved are significant. You can use a sample size calculator to determine how big your sample needs to be so you can be sure that the result you're getting is due to the changes you made and not due to chance.  

If you're working with CM.com's platform, use the Address Book to divide your recipients into two marketing groups randomly. Create two separate campaigns, one for version A and one for version B. Keep everything in the campaigns the same except for the element you want to test. Set up your message, implement the changes in version B, randomly add one of the recipient groups to campaign A and add the other to campaign B. Send your message, and wait for the results to come in.  

Sample size indicates the size of the group of people who are going to receive your message. The size of this group and the amount of conversions you're getting determines the significance of your test. Significance refers to whether we can rely on the made changes to have generated these results or whether we can't rely on the changes but see that the results were simply due to chance. This means that we want to say: we can be 95% sure that the changes we made will improve our conversion rate. 

6.Analyse the results 

Once your test is complete, you can analyse the results to determine whether the results confirm your hypothesis. Keep sample size and significance in mind, so you shouldn't draw conclusions based on effects that resulted from chance. For example, if all conditions besides the test variable were the same and version A was sent out to 2000 recipients and had three conversions, and version B was also sent out to 2000 recipients but had 60 conversions, it's safe to say that version B has performed significantly better. If you want to be sure about the significance of your results, you can always use a significance calculator.  

Once you have analysed the results and implemented the changes, the entire process can start improving and improving. 

At CM.com, we have severely increased the performance of our bulk SMS messages by running A/B tests. You can do this by following the steps we've explained above. Make sure you keep improving your messages to get the most out of your marketing for your business and be one step ahead of the competition by staying on top of your results. 

Still unsure where to start or uncertain about all the statistical parameters that come into play with conversion optimisation? Feel free to contact us so we can see if we can help you further.

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CM.com
connects tens of thousands of companies with millions of consumers via their mobile phone each day. Behind the scenes, from our innovative platform, CM.com makes sure companies can use these millions of messages, phone calls and payments to become part of people’s lives.

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