An interactive tool helping advisors model fee schedules, simulate revenue under compression scenarios, explore hybrid pricing models, and benchmark fees against industry data — before margin erosion forces their hand.
Cerulli Associates' research paints a clear picture: while average advisory fees have remained largely stable on the surface, the underlying economics are shifting. By 2026, 83% of financial advisors expect to charge less than 1% for clients with more than $5 million in investable assets. The average fee for $10M+ clients is projected to settle around 66 basis points — nearly half the rate charged to clients with $100,000 (125 bps).
The compression is a squeeze from both sides. On one end, AUM fees are declining for larger clients — asset-based fees dropped approximately 2 basis points for clients with $1.5M+ from 2020 to 2024, with another basis point expected by 2026. On the other end, service expectations are expanding dramatically — clients now demand tax planning, estate coordination, insurance review, and behavioral coaching alongside investment management, all for the same fee.
The margin impact is severe. Fidelity reported that advisory expenses reached 82% of revenue in 2023, leaving only 18% operating margin — a record low. AI early adopters may initially boost margins through productivity, but as Cerulli analyst Kevin Lyons warns, the long-term effect will be that the productivity bump "will result in lower fees to the client" — meaning late adopters face compression without the offsetting efficiency gains.
The pricing evolution is accelerating. By 2026, 54% of advisors expect 90%+ of revenue from advisory fees (up from 44% in 2024), while independent RIAs are specifically expected to reduce AUM reliance and increase planning and retainer-based pricing. The 1% AUM fee — once the industry's unquestioned standard — is fading.
What advisors actually charge today, by portfolio size and model — essential data for the pricing modeler to include as benchmarks.
| Client AUM | Avg AUM Fee | All-In Cost | Expected 2026 | Key Trend |
|---|---|---|---|---|
| $100K | 1.25% | ~1.85% | ~1.20% | Subscription models emerging for this tier |
| $250K | 1.10% | ~1.75% | ~1.05% | Minimum fee requirements filtering access |
| $500K | 1.00% | ~1.65% | ~0.95% | Flat-fee breakeven point vs. AUM |
| $1M | 1.00% | ~1.60% | ~0.90–0.95% | 62% of advisors still charge 1%+; declining |
| $2M | 0.85% | ~1.50% | ~0.80% | Only 32% charge 1%+ at this level |
| $5M+ | 0.70% | ~1.35% | ~0.65% | 83% expect to charge <1% |
| $10M+ | 0.68% | ~1.30% | ~0.66% | Near-institutional pricing pressure |
Critical nuance: The all-in cost (AUM fee + platform + fund expenses) averages about 0.60–0.70% above the advisor's AUM fee at every tier. Kitces Research found that this underlying cost layer remains largely static regardless of client size — meaning advisors absorb the full compression, not platforms or fund companies.
The tool must let advisors model and compare each of these structures — and hybrid combinations — against their client book.
There is no purpose-built fee modeling tool for independent advisors. Firms currently use spreadsheets, billing software (which calculates fees but doesn't model alternatives), or expensive consultants. The gap is enormous — and the timing is urgent as compression accelerates.
Most fee analysis happens in Excel — custom-built, error-prone, and not shareable. No scenario modeling, no benchmarking, no communication tools. A repricing decision affecting millions in revenue is made with a tool designed for grocery lists.
Orion, Black Diamond, and CircleBlack calculate and collect fees but don't model alternatives. They answer "what did I charge?" not "what should I charge?" or "what happens if I change?" The strategic layer is entirely missing.
Firms like Select Advisors Institute and practice management consultants charge $10K–$50K+ for fee structure analysis. A self-serve tool democratizes this capability for the 77% of advisors without marketing or pricing strategies.
Advisors input their AUM, client count, and current fee schedule. Output: a 1-page "Fee Health Score" comparing them to industry benchmarks, flagging compression risk, and identifying quick-win repricing opportunities. Shareable, viral among advisor peer groups. Email capture for full report.
License or co-create benchmarking data with Kitces Research (the definitive source on advisor fees) and Cerulli Associates. Position the tool as the interactive, always-updated version of their annual fee studies — transforming static PDFs into dynamic modeling.
Connect to Orion, Black Diamond, CircleBlack, and custodian billing data to auto-populate current fee schedules and client books. This eliminates manual data entry — the #1 adoption barrier — and makes the tool immediately useful on day one.
Host quarterly virtual workshops walking advisors through their first fee analysis using the tool. Record as evergreen content. Partner with compliance consultants to address ADV implications. Each workshop converts 15–25% of attendees into paid subscribers.
For a $150M AUM firm charging 1%, a 10 basis point compression across the book means $150,000 in lost annual revenue. Without scenario modeling, most advisors don't realize the magnitude until it's too late.
Setting a $5,000 minimum fee for the bottom 20% of clients (who drive only 5–10% of revenue) and introducing planning fees for complex HNW clients can recover $50K–$200K annually at a median firm — more than paying for a decade of the tool.
The pricing modeler is unique among advisory tools because it directly generates revenue rather than just saving time. For a typical $200M AUM firm, identifying and implementing even a 3 basis point average fee optimization across the book yields $60K in additional annual revenue — against a $2,988/year tool cost. That's a 20x first-year ROI, making this one of the most compelling tool investments an advisor can make. And for M&A purposes, documented pricing discipline and margin optimization directly increase firm valuation multiples.