The Technical Analyst
“You run on data. Let the models show you what's possible.”
Your complexity deserves complexity pricing. Model the gap now.
fee engineering & systems optimization
How Synseus works for you
Revenue and ops signals amplified. Content and referral signals suppressed.
Your priority modules
Your models need real data. Start here to calibrate everything.
Complexity fees are your highest-leverage, most under-utilized lever.
Your practice runs on systems. Optimize them with data.
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How do I justify raising my advisory fees?
Module 5 (Client Acceleration) includes a Fee Elasticity Analyzer that models the exact impact of a fee increase on client retention probability, segmented by client tier and relationship tenure. The Fee Confidence Assessment surfaces peer fee comparisons drawn from the 8,728 firms whose Form ADV brochures Synseus has extracted a fee schedule from, showing where your fees sit relative to firms in your AUM band — for the bands that subset holds a distribution for, and only those.
What benchmarks should RIAs use to measure practice performance?
Synseus reads Form ADV filings for 23,927 SEC-registered and exempt reporting advisers. The dimensions it holds a real distribution for are firm size by AUM band, adviser productivity, discretionary share of assets and high-net-worth concentration, plus an effective-fee distribution for some AUM bands. Everything else the product shows you — revenue per client, retention, growth — is your own data, tracked against your own history, not against a cohort.
How do I build a niche specialization strategy?
Module 3 (Digital Authority & Brand Mastery) includes an Authority Niche Intelligence tool that shows how six curated niches rank on a fixed weighted score (sample niches in demo mode).
What financial models help RIAs forecast revenue?
Module 1 includes a Monte Carlo Revenue Forecast that runs 1,000+ simulations across optimistic, base, and conservative assumptions, returning P10/P50/P90 revenue bands for 12 and 36 months. The model incorporates client retention probability, AUM growth rate, fee structure, and market return assumptions. Outputs include the probability of hitting specific revenue targets and the sensitivity of the forecast to each input variable.