For years, it’s been clear that syncing data back and forth to their ESP’s cloud has been a drain on enterprise brands, given the massive size of their datasets and the sheer volume of personalized messages they send on a monthly basis. It’s a business relationship that’s only been sustainable because the ESP marketplace doesn’t offer many alternatives that are truly built for the Super Senders rather than the mid-market.
Enterprise B2C marketers understand better than most the importance of having a clean and organized customer database. And with the massive amounts of data they’re dealing with, getting it to a point where it’s consolidated and easily accessible for marketing purposes can be a heavy, expensive lift.
Once your company has invested in the tools that can make that happen, though — whether that’s partnering with a modern data warehouse (like Snowflake, BigQuery or Redshift) or building out your own solution internally — how does your ESP fit into the data conversation? If you put all the time, money, and effort into organizing all your data, will your ESP be ready to help you take advantage of that? Or will it just stand as another obstacle that continues to make it difficult to fully utilize the tools you now have?
One of the most profound movements in marketing over the past five years or so has been the desire to consolidate as much customer information as possible into a single 360-degree customer database — more specifically, a Data Warehouse. If you have every piece (or nearly every piece) of first-party, second-party, and third-party data that you own or have acquired about your customer in one place, you can be even more personalized, responsive, and predictive (i.e. leverage AI models) about how best to serve and communicate to those customers. And customers increasingly expect you to leverage their data in this manner — to deliver a better cross-channel experience that “surprises and delights.” To fail to do so is to risk losing that customer relationship.