How to Model an Advisor Transition Before You Commit: A Feasibility and Cost Model for the Breakaway Decision
Do not decide a move on payout alone. Model it with four numbers: the assets you will actually retain, the revenue that ramps back over the transition months, the one-time cost of the move, and the ongoing economics at the new firm. Cerulli puts transition asset loss at 11 to 22 percent by move type, so retention, not the headline payout rate, usually decides whether the math works. Here is how to build the model before you commit.
Most breakaway math starts and ends with the payout comparison: my grid here versus my expected economics there. That number matters, but it is the least uncertain input in the whole decision and it is not what sinks most moves. What sinks them is a slower, leakier transition than the advisor modeled, where more of the book is lost and the revenue takes longer to come back than the spreadsheet assumed. This article builds the feasibility model the right way, around the inputs that actually carry the risk, so you commit with a dated cash-flow picture rather than a payout fantasy. It is a build-your-own model, because your book, your move type, and your operational plan drive the numbers, not an industry average.
Why payout is the wrong place to start
The payout rate is seductive because it is a single clean percentage and it usually moves in your favor when you go independent. Cerulli's research on the costs of switching for advisors confirms the motivations line up here: 74 percent of advisors who consider moving cite the ability to build financial value and 67 percent cite greater independence. But the same research is a warning: unplanned client attrition runs about 19 percent of assets on average when advisors change affiliation, and operational matters are the most common transition challenge, named by 77 percent. A higher payout on a smaller, slower book can easily lose to a lower payout on a book that moves fast and lands intact.
That is the core insight the model has to capture. Payout is a multiplier on retained revenue, and retained revenue is the uncertain part. A model that solves for payout while hand-waving retention and ramp is solving the easy variable and guessing the hard ones. Flip it: pin down retention and ramp first, then let payout do its work on a realistic revenue base.
The four numbers that decide it
A feasibility model is four inputs and the cash-flow curve they produce. Build each one deliberately.
One: retained assets. Start from your current AUM and subtract realistic attrition for your move type, not a hopeful round number. Cerulli's breakdown in its research on transition support and asset retention puts the loss near 22 percent for broker-dealer to broker-dealer moves, 18 percent for broker-dealer to independent, and 11 percent for independent to independent. Use the band for your move as the base case, then adjust for the two things you control: how clean and fast your repaper is, and how well you communicate. This is where the operational plan feeds the financial model, and it is why retention benchmarks deserve scrutiny rather than a single quoted figure, a point our analysis of why 97 percent retention is the wrong number makes in detail.
Two: the revenue ramp. Retained assets do not produce revenue on day one. They produce revenue only after they repaper and fund, and that takes months, not days. Model revenue as a curve that starts near zero at resignation, climbs as accounts land, and reaches its new steady state only when the book has substantially transferred. The speed of this ramp is the single biggest swing factor in the first-year numbers, and it is set by your repaper speed. A move that funds in weeks and one that drags for a quarter produce very different year-one cash flows from the same book.
Three: the one-time transition cost. This is the money and time spent moving, spent whether or not the book lands. It includes any forgivable-loan balance left behind, lost production during the dark period and ramp, new-entity setup and registration, technology and custodian onboarding, and the operational cost of the repaper itself. Build it honestly, because underestimating it is how a move that looked positive turns negative in year one. Our cost-per-transition ROI model breaks down the operational side of this cost and where technology changes it.
Four: the ongoing new-firm economics. This is the steady-state picture once the book has landed: your effective take-home after the new firm's payout or fee split, minus your ongoing costs for technology, compliance, custody, and staff. This is where the payout finally enters, applied to the realistic retained-and-ramped revenue base from the first two numbers rather than to your current gross.
| Input | What it is | What drives it | Certainty |
|---|---|---|---|
| Retained assets | AUM that follows you | Move type, repaper speed, communication | Medium, you influence it |
| Revenue ramp | How fast retained assets produce revenue | Repaper and funding speed | Low, high-swing |
| One-time transition cost | Money and time to move | Loan balance, dark period, setup, ops | Medium, often underestimated |
| New-firm economics | Steady-state take-home | Payout or fee split, ongoing costs | High, easiest to pin down |
Put the four numbers on a timeline
Static totals hide the risk. The model only becomes decision-grade when you lay the four numbers on a month-by-month cash-flow curve, because a move is almost always cash-negative before it turns positive, and the shape of that curve is what you are actually signing up for.
Plot it month by month from resignation. Revenue starts near zero and follows your ramp assumption upward. Costs land heavily up front and taper. The line is negative through the dark period and early repaper, crosses zero somewhere in the transition as accounts fund, and reaches steady state when the book has landed. Two outputs from this curve matter more than the year-one total. The trough depth tells you how much cash you need to carry the move without stress. The months-to-breakeven tells you how long you are underwater. A move with a great steady state but a deep, long trough can still be the wrong move if you cannot fund the trough, and only the timeline shows you that.
Pressure-test the model before you trust it
A model is only as good as its assumptions, so stress the two that carry the risk before you commit. Run a downside case where retention lands at the worse end of your move-type band and the ramp takes fifty percent longer than planned, and see whether the move still works or merely survives. If the base case is attractive but the downside is ruinous, the move is a bet on execution, which tells you exactly where to invest: in the repaper speed and communication that protect retention and compress the ramp.
This is the practical link between the financial model and the operational plan. The inputs you most want to improve are retention and ramp, and both are functions of how cleanly and quickly you move the book. That is why the feasibility question and the operations question are the same question. The demographic backdrop only raises the stakes: with roughly 10 percent of advisors planning to transition and, per the industry's framing of the generational wealth transfer through 2048, a large share of clients open to moving assets after any disruption, the cost of a slow, leaky transition is higher than it has ever been.
Where FastTrackr fits
The feasibility model is decided by retention and ramp, which are exactly what an advisor transition platform improves: faster, cleaner repapering means a higher retained-assets number and a steeper revenue ramp, which shifts the whole cash-flow curve up and left. AI document intelligence cuts the NIGO and rekeying that slow the ramp, transition consultants use the same modeling to advise advisors on feasibility before a move, and the advisor transition case study shows the retention and timeline outcomes that drive the model's two riskiest inputs.
The short version: do not decide a move on payout. Build four numbers, retained assets, the revenue ramp, the one-time cost, and the new-firm economics, put them on a month-by-month curve, and read the trough depth and the breakeven month. Then stress the retention and ramp assumptions, because those, not the payout rate, are what decide whether the math works, and they are the numbers your operational plan can actually move.
Frequently asked questions
Why shouldn't I decide a breakaway on the payout comparison? Because payout is the most certain and least decisive input in the whole model. It usually improves when you go independent, but it is a multiplier applied to retained, ramped revenue, and that revenue base is the uncertain part. Cerulli's research shows unplanned attrition runs about 19 percent of assets on average when advisors change affiliation, and operational matters are the top transition challenge. A higher payout on a book that moves slowly and loses more clients can easily lose to a lower payout on a book that lands fast and intact, so retention and ramp decide the outcome, not the headline rate.
What attrition number should I use in the model? Use the Cerulli band for your specific move type as the base case: roughly 22 percent asset loss for broker-dealer to broker-dealer moves, 18 percent for broker-dealer to independent, and 11 percent for independent to independent. Then adjust within reason for the two levers you control, repaper speed and client communication, which move retention up from the base. Avoid single hopeful figures like 97 percent retention, which describe established practices rather than advisors in motion. Modeling the base case honestly and stressing it downward is more useful than a single optimistic point estimate.
What is the revenue ramp and why does it matter so much? The revenue ramp is the curve describing how fast your retained assets actually produce revenue after the move. Retained assets earn nothing until they repaper and fund, which takes months, so revenue starts near zero at resignation and climbs as accounts land. The ramp is the single biggest swing factor in first-year cash flow because it is set by your repaper speed: a book that funds in weeks and one that drags for a quarter produce very different year-one results from the same assets. Faster repapering steepens the ramp and moves breakeven earlier.
What goes into the one-time transition cost? Everything you spend in money or lost time to move, whether or not the book lands: any forgivable-loan balance left behind at the old firm, lost production during the dark period and the ramp, new-entity setup and registration, technology and custodian onboarding, and the operational cost of running the repaper itself. This number is the one advisors most often underestimate, and underestimating it is how a move that looked positive on payout turns negative in year one. Build it deliberately and put it on the timeline so you can see the trough it creates.
How do I know if I can afford the move? Put the four numbers on a month-by-month cash-flow curve and read two things: the trough depth, which is how much cash you need to carry the move while it is underwater, and the months to breakeven, which is how long that lasts. A move can have excellent steady-state economics and still be unwise if the trough is deeper or longer than you can fund. Then run a downside case with worse retention and a slower ramp; if the move only works in the optimistic case, treat it as a bet on execution and invest in the repaper speed and communication that protect the two riskiest inputs.
