Client Satisfaction Is High, but Referrals Are Low: Report

The Client Intelligence Monitor provides current data and a five-year historical perspective, drawing on data captured annually from high-net-worth investors.

The data was collected in an online survey from 1,000 respondents between Feb. 28 and March 9, with a 3.1% margin of error. All respondents work with a financial advisor, meet specific household investable asset thresholds and have some involvement in financial decision-making. Fourteen percent of respondents have $5 million or more in household investable assets, 36% have between $1 million and $4.9 million and 50% have between $500,000 and $999,999.

The report also introduces what Absolute Engagement calls the Client Intelligence Equation, which adds together Client Sentiments and Signals into one score that reflects Outcomes of Engagement, Loyalty and Referrals.

The 2026 Client Intelligence Monitor includes both proprietary and standardized indexes, including the following scores in three broad categories on a scale of 0 to 100, along with Absolute Engagement's conclusions:

Sentiments

• Satisfaction Index: 93. (Advisors continue to deliver strongly on core service expectations.)
• Net Promoter Score: 57. (There is strong advocacy, while revealing that willingness to refer does not necessarily translate into actual referrals.)
• Value Index: 80. (There is lurking risk based on client perception of value relative to fees paid.)

Signals

• Self-Confidence Index: 87. (Overall confidence is relatively strong, but a third of clients need additional support.)
• Concern Index: 65. (Clients can feel confident about their future while still experiencing some anxiety in the present.)

Outcomes

• Engagement Index: 35. (There is a clear opportunity to go beyond satisfaction and drive deeper engagement among clients.)
• Loyalty Index: 92. (While loyalty is strong, there is evidence of underlying risk masked by industry inertia.)
• Referral Activation Index: 46. (There is a persistent gap between satisfied clients and actual referral behavior.)

What the Results Could Mean

While traditional measures, such as satisfaction and net promoter score, remain high, deeper emotional indicators reveal both opportunity and hidden risk across client relationships, according to a statement.

The report's findings encourage advisory firm leaders to assess their data strategy by evaluating whether they are capturing the right data, going beyond demographics and financial data to capture emotional drivers; move beyond lagging indicators of risk by capturing leading indicators such as confidence and perceived value, to identify risks earlier; create household-level intelligence by capturing insights across couples and families, not just primary decision-makers; build longitudinal visibility to create a meaningful competitive advantage; and align artificial intelligence strategy with data readiness to support insight, personalization and engagement.

Julie Littlechild, founder and CEO of Absolute Engagement, told ThinkAdvisor that she wasn't surprised that clients provided high satisfaction ratings "as we've seen that for some time." More surprising, she said, is a disconnect with perceived value.

"While it's still relatively high, only a third of clients provided a 5 out of 5," she said. "That suggests the industry has work to do in demonstrating value."

William Trout, director of securities and investments at Datos Insights, said that advisors are comfortable pointing to satisfaction scores north of 90% as proof the relationship is healthy. He said what Absolute Engagement exposes is that satisfaction is a lagging indicator — by the time it moves, the damage is already done.

"The real signals are confidence and perceived value, and those are deteriorating while satisfaction holds steady," he said.

The referral gap is the most actionable insight, said Trout. Ninety-six percent of clients are at least somewhat satisfied, yet only 46% have referred in the past 12 months.

"The industry has been told for years that great service drives referrals. This data proves that it's necessary but not sufficient," he said.

Asking for referrals isn't the bottleneck either, said Trout; it's that most satisfied clients don't convert willingness into action.

"The real opportunity is building longitudinal visibility into how clients are thinking and feeling across confidence, concerns and perceived value," he said. "Firms that capture that data and use it to trigger proactive, personalized engagement before confidence or value perception deteriorates will have something competitors can't replicate overnight: a client intelligence layer that sits above the transactional data most firms are drowning in."

The Absolute Engagement equation, Trout added, provides a good framework for thinking about the relationship between how clients feel and what that means for business outcomes. What the data suggests is that confidence and concerns work somewhat differently in practice, he said. Clients can feel confident about their future — rational, plan-based — while anxious about their present — emotional, immediate.

"Recognizing that distinction in how advisors respond matters," he said. "Some gaps call for planning depth, others for emotional presence."