Case Study: a financial advisory firm improves investor messaging with Decision Analyst’s MaxDiff research

a financial advisory firm uses Decision Analyst MaxDiff with 1,000 investors to refine advisor messaging

A financial advisory firm wanted to understand the key drivers and obstacles behind an investor's decision to hire a financial advisor. They partnered with Decision Analyst to quantitatively model over 40 factors identified from prior qualitative research, aiming to uncover which attributes had the most impact on this critical choice.

Decision Analyst implemented an online survey featuring Maximum Difference (MaxDiff) analysis with 1,000 investors. Using a Hierarchical Bayes model, the vendor produced unique importance scores for each respondent. This allowed the client to prioritize and craft new marketing messages, customize communications for specific customer groups, and better educate their advisors on when to offer services. Decision Analyst provided the insights needed to effectively target potential customers based on their life stage and financial concerns.

Financial Advisory Firm