So, we’ve already discussed a few reasons and ways to monitor audience responsiveness. But once you’ve got yourself set up in that regard, there’s a more advanced step that you should implement. And that’s creating a customer profile (or set of profiles) by which to base your next campaign strategies. This is just one way to analyze and then apply the information that you’re collecting in an organized and practical way.
This step comes into play once enough data is collected to start drawing parallels and noticing trend-based patterns (perhaps six months to one year after you start). What you’ll want to do is come up with one baseline model–or preferably, a few model types–based on how customers/clients/audiences are buying and using your products or services. Depending on your business and how divisions fall among those who interact with it, you can create very generic models–such as female/male–or create entire baseline characters, such as the buyer who is under 30 years of age but married with a household income of more than $100,000. Or individuals who shop before 5pm. Or some other kind of category that is unique to your business and exhibited in repeat behaviors.
This will also depend on what kind of information you can derive from the types of marketing you’re monitoring and analyzing. Using as many stats and demographics as you have access to can lead to more tedious but more beneficial profiling overall. Tracking should also take into account the beginning, middle and late stages of each model type’s interaction with your brand. You definitely want to acknowledge ways that behaviors change with time and figure out why. Then you can incorporate how you’d like to ideally see relationships develop–based on realistic, data-backed prospects.