In this series, Duncan MacDonald-Korth, CEO of AdvisorTarget, shares insights on how intent data and predictive analytics can uncover financial advisor data intelligence.
In an ever more competitive environment, top asset management organizations need to combine their sales, marketing, and data science efforts into a single, well-oiled machine in order to grow AUM—the big question is how to do so. What can help unify the efforts of these three teams into a cohesive strategy?
Asset Data is Limited on Its Own
This asset data is difficult to utilize on its own and would need to be combined with other scaled data sources to gain insight on the behavioral intent of their target audience.
Intent Data + Predictive Analytics = Revenue
Not only can intent data tell wholesalers who to call about what, it can also help marketing teams execute the best next action for data-driven, 1-to-1 relationship marketing. Advisors benefit as well, as they only get messaging about products in which they are genuinely interested.
Likewise, data scientists can marry intent data with asset data to see when behavioral activity leads to transactions. The resulting algorithms can be used generally or tailored to each advisor.
Simply put, intent data and predictive analytics have become an essential pillar to accelerate distribution and increase AUM.
Empower your wholesalers with access to the most accurate and trusted data on firms and advisors and predictive financial advisor data intelligence.
Discovery Data Resources:
Discovery Data Blog: Three Key Reasons Why Asset Data Isn’t Enough to Drive Revenue
The Data Possible Podcast: Developing Strategy With Behavioral Data
Dataset: Intent Signals