Optimize Push Notifications with AJO Decisioning

Hey there, here’s a quick walkthrough of how to use decisioning to personalize and optimize the content in your push communications. Let’s say we’re a sports and fitness retail company wanting to launch a summer promotion push notification to drive greater sales. As the marketer, I plan to send a push notification to my entire customer base of opted-in push subscribers, but I want to show an offer that’s more compelling to the recipient, rather than a generic one-size-fits-all discount. We’ll go ahead and create three separate offers. The first, a 25% off running shoes offer. The second, a 25% off shorts and leggings offer. And lastly, a 10% off site-wide generic fallback. I can assign both the priority score and eligibility rules to each of these offers to determine who should qualify.

Note here that I’ll give the highest priority to running shoes, so if the profile qualifies for all three offers, I’d expect them to see the running shoes offer. Then I’ll group together these three offers into a collection and assign that collection to a selection strategy. Let’s jump over and author this push message campaign. Because I know I want the content of the message coming from decisioning, this is where I’ll insert the decision policy with that selection strategy of all the potential offer items that we just created. For the title, I want to inform the customer that today is the last day of our Luma summer sale. And then for the description, I want to advise them to use a specific code for a certain percentage off, depending on the product offering. These three attributes will be coming from whichever offer is the highest priority that the recipient qualifies for. And here is where I map those attributes from the offer item. Well now that we have the content authored, let’s test this with a specific profile to make sure that the correct offer returns prior to us moving forward and activating this push campaign.

I’ll use simulate content. Here I’ve selected this particular test profile and sure enough, here on the right, I can see that the offer is successfully rendering as I’d expect this recipient to receive. And lastly, after a few days, we’ll want to see how this push campaign performed. Let’s take a look at the report to measure the effectiveness of our decisioning powered push promotion campaign. Here you can see important metrics such as how many times an offer was sent and how many times an offer was clicked in order to determine which offers performed best. In summary, the use of decisioning in your push messages is a powerful way to personalize and optimize the content of your push communications. Thanks!