During the pandemic, CPG and retail brands have undergone massive digital transformations. They’ve tripled-down on personalization spending and focused their efforts on maximizing ROI and leveraging the power of contextual marketing with behavior and algorithms. Today, success comes down to managing data effectively and using it to create really relevant and meaningful experiences for your consumers.
I recently had the opportunity to appear on the Daily Tech Talks podcast, where host Neil C. Hughes and I discussed:
You can listen to the full episode here:
Data science can be tough for brands to implement. For example, if you give a data scientist the option of working at a tech giant like Google or a business that sells chocolates, which one are they most likely to choose?
Think about Amazon and Netflix. Those experiences are the gold standard for personalization, but the brands that are featured in your kitchen pantry don’t have data science teams with the same capabilities, and might struggle to deliver the same data-driven personalized experiences. Given the shift in consumer expectations, however, it’s important for these brands to find solutions that make data science accessible to them and help them scale their personalization efforts quickly to provide meaningful experiences, without having to build their own data science department.
Today, Breinify is focused on helping brands navigate the personalization journey and achieve predictive personalization at scale. In a world where consumers are surrounded by predictive personalization – whether they know it or not – everyday brands need to have access to data science and AI that allows them to curate relevant, personalized experiences at scale.
Want to see more of my thoughts on the topic? Connect with me on LinkedIn and Twitter, or read more of my blog posts here!
If you’re ready to start leveraging data science and predictive personalization for your business, contact us to get started!