I understand that it can be difficult to justify the time and money spent on proper statistical testing, such as A/B testing, for your sales team. The problem is that making random changes to templates, documents, and conversations is a waste of time. It is important to understand why changes were made and what benefit they can bring in doing so.
A/B testing is often the basis of statistical testing for sales whatsapp number list teams. If you've worked in sales, I'm sure you've participated in formal or informal A/B testing.
Informal A/B tests typically cover the following commercial materials:
Cold Calling Scripts: Cold calling scripts are a trial and error process. Typically, two different formats of the same script are tested on the same prospects. This process finds which one converts more.
Outbound Emails: When it comes to outbound emails, the focus is on getting the recipient to open, read, and respond to the email. In the case of cold emails, it may take two, three, or even four emails before the lead opens the email.
Documents: Internal and external documents are constantly being updated. These can include comparison documents, feature descriptions, and more. Testing different document formats with A/B testing can help you deliver the best information in the simplest way possible.
Demos: Demos can include a short demo of your product or a PowerPoint presentation about your company or any number of other topics. They involve the most variables, but even small, controllable variables can have a significant impact. You can change the information on a slide or choose different points in the presentation to ask questions.
The main problem with these informal tests is that the results may not be valid in any particular context. To achieve meaningful results, you need to set up proper A/B tests. These tests will be conducted according to proper statistical analysis procedures using the same trading materials.
If you're not sure what steps are involved in setting up and running a proper A/B test, I recommend reading a recent blog I published called A/B Testing Basics .
The results of a good A/B test can be used to create the absolute best sales materials for both you and your sales team. Of course, the results won’t be immediate. The A/B testing process is gradual. You make small changes to see an increase in specific stats, such as qualified leads, scheduled appointments, and more.
There are many benefits to using A/B testing for your sales process, but I have four that I think stand out the most, listed below. Some of these are taken from a Forbes article called A/B Testing: The Benefits and How to Use It Effectively .
Increased engagement
Increase in qualified leads and scheduled appointments
Reduce email bounce rates
Better communication
I cannot recommend formal A/B testing enough. Combining your statistical testing results with your hands-on sales experience and training often yields the best results.
Get started today by creating your own formal A/B test!