Are you a business owner or entrepreneur looking to improve your go-to-market launch process for better results? If so, you’re not alone. Many companies, from mature organizations to super new startups, are constantly searching for ways to optimize their product launch process to increase sales and improve customer satisfaction.
However, one of the biggest mistakes companies make is treating all of their prospects and customers the same. This approach is not only ineffective, but it can also come across as disingenuous and unauthentic, which is one of the hardest things to fake in today’s world of ubiquitous AI.
So, what’s the solution? Data. Data is the key to understanding your customers’ needs and behaviors and creating a personalized experience for each individual. However, data is often siloed in organizations, making it difficult to access and utilize effectively.
But, as a business owner or entrepreneur developing a product or minimum viable product (MVP), you may be in a position of power without even realizing it. A lot of people collect data that they don’t know how to use, sometimes relying on demographics to target their audience.
Instead, businesses should focus on behavior-based data first. People are who they want to be behind a browser, and the context of their interaction with a product or service is more important than their demographic information. By identifying and tracking thousands of customer traits that cover behaviors like browsing preferences, habits, and event preferences, you can create a model that generates predictions based on collected traits. You can then start to understand the key traits that predict a purchase, or a final “No, we’re not interested.”
As you grow your customer data set, you can start to rank the weight associated with different behaviors and traits. This allows you to understand your customers’ needs in context and provide them with a personalized experience that addresses their specific problems and pain points.
If you want to improve your go-to-market launch process and achieve better results, start by understanding your customers’ behaviors and needs; don’t treat all your customers the same. Utilize data to create a personalized experience for each individual, and you’ll be on your way toward optimizing the messaging you use to launch a new product. And, remember, when it comes to AI, think of it as statistical analysis on steroids, and focus on behavior-based data first.