When creating effective marketing campaigns a lot of time, effort and thought goes into the ads, landing pages and follow up emails. However, form performance is an often overlooked and vital factor for web conversion optimisation. 

In GatedContent.com you can create gate experiments (A/B Testing) which enable you to make careful changes to user experiences while collecting data on the results. This allows you to test hypotheses and learn how certain elements of your web form experience impact user behavior. Identifying goals, creating hypotheses, creating variations, running experiments, and analysing the results will allow you to continually improve your web conversion rates.  

Creating a gate experiment with GatedContent.com is simple and straightforward, just follow the steps below. 

  1. Log into GatedContent.com 
  2. Go to the Manage Gates area at the top of the left-hand menu. 
  3. Click Create New Experiment in the top right.
  4. Give your Experiment and Name and Description. Your description should indicate the nature of what you are testing.
  5. Add the Gates you want to test and make sure to add a Variant Description so you know the difference between this one and other variants in the experiment.
  6. You can mark a particular variant as the default. This means when the experiment is paused or in draft mode, only the default variant will be shown.
  7. Select the weighting for each gate; this will dictate how often each variant is shown. When there are more than two variants in your experiment enter the lowest weighting first.
  8. In the actions area, you can edit the variant, edit the gate, preview the gate, or remove it from the experiment. 
  9. When you are ready, update the experiment and you will be provided with embed codes which you can use to place the experiment on your website. 
  10. Click the Start Experiment button on the top right of your page and it will start collecting data. You should only start the experiment when you have completed configuring it.
  11. After an appropriate amount of time, you can view the Experiment Analytics and get insight into your user's behavior. 

Important Note: Active experiments can't be edited. You must reset the experiment if you want to make changes. Resetting the experiment will also reset the experiment's analytics.