AUM Retention Benchmarks for Advisor Transitions: Why 97% Is the Wrong Number and How to Build a Real One

There is no credible public benchmark for AUM retention during an advisor transition. The 97% client retention figure that circulates in this conversation comes from Schwab's RIA Benchmarking Study, which measures established firms in steady state, not advisors in motion. Benchmarking a move against it will make a bad transition look fine.

Every transition consultant has heard the question in the first meeting. "What retention should we expect?" And there is a number ready to hand, quoted confidently across the industry, that is completely unfit for the purpose it gets used for.

This matters more than a citation quibble. Retention is the number that sets the deal economics, the recruiting pitch, and the ops budget. Get the denominator wrong and every decision downstream inherits the error.

What the 97% actually measures

The figure is real and well sourced. Per InvestmentNews' coverage of the Schwab study, client retention has held at 97% for participating firms over the past ten years. The sample is serious: nearly 1,300 RIAs managing a combined $2.4 trillion, surveyed January through March 2025, in Schwab's 19th annual benchmarking survey. SmartAsset's summary of advisor retention rates attributes the same 97% to the 2024 Schwab RIA Benchmarking Study and notes earlier industry research put the average around 95%.

Now read the population. Nearly 1,300 established RIAs, reporting annual client retention as an operating firm. That is a steady-state measurement. It answers: if you are a functioning RIA, what share of clients stay with you this year?

It does not answer: if an advisor resigns a wirehouse on Friday and repapers 340 accounts across two custodians over the next eleven weeks, what share of AUM survives?

Those are different questions about different populations under different conditions. A transition is a discrete event where every client must take a positive action, sign new paperwork, and reconfirm a relationship under active competitive pressure from the firm being left. Steady-state retention measures the absence of that event.

Using 97% as a transition target is like benchmarking a surgery's survival rate against the general population's annual mortality. Both are real numbers. Only one is about the thing you are doing.

Note too that the ten-year stability is itself a signal that it is not measuring transitions. A metric holding at 97% through 2014 to 2024, across a decade that reshaped custodian technology and the breakaway market, is a metric insulated from those forces. Transition retention would not be.

What the transition-specific data actually says

Here is the uncomfortable part. The most-cited transition-specific research is Schwab's Supported Independence Study, and the public reporting on it is largely sentiment, not retention.

The Daily Upside's coverage reports a survey of more than 200 brokers and breakaway advisors: 79% would make the decision to go independent again, 76% are happier as an independent RIA, and 69% said they should have gone independent sooner.

Those are useful findings about satisfaction. They tell you nothing about how much of the book survived. An advisor can be delighted with the decision and have lost 18% of assets in the move. The study is measuring regret, not retention.

You will still see specific transition retention percentages quoted, usually attributed to this study, and they may well be in the full report. But when a figure cannot be verified against an accessible primary source, it should not be the basis of your deal model. That is not pedantry, it is the difference between a number you can defend to a recruiting committee and a number you repeat because everyone else does.

The honest statement of the public evidence:

Question	What public data supports	Sourced
Annual retention at an established RIA	97%, stable 2014 to 2024, ~1,300 firms, $2.4T AUM	Schwab RIA Benchmarking Study, via InvestmentNews and SmartAsset
Earlier industry average, steady state	Around 95%	Prior research, via SmartAsset
Do breakaway advisors regret the move	No. 79% would do it again, 76% happier, 69% would have gone sooner	Schwab Supported Independence Study, 200+ advisors, via The Daily Upside
AUM retained during a transition	No verifiable public benchmark	Not established in accessible sources
Retention by book size, custodian, or protocol status	Not publicly established	Not established

That bottom half is the actual finding. The industry has a well-measured steady-state number and a sentiment survey, and the gap between them is exactly where the money is.

Why the benchmark does not exist, and why it may never

This is not an oversight waiting for a better survey. There are structural reasons.

Nobody is incentivized to publish losses. Recruiting firms, custodians, and platforms all have an interest in transitions looking good. A study showing average attrition would be a study discouraging the activity that everyone in the chain earns on.

The denominator is contested. Retention of what? Client count, AUM, or revenue? These diverge sharply. Lose 12% of clients and 3% of AUM and you had a great move. Lose 3% of clients and 12% of AUM and you lost your top relationships. A single retention percentage hides which one happened, and it is always the second one that matters.

The measurement window is arbitrary. At 90 days, slow accounts still in ACATS look like attrition. At twelve months, natural churn contaminates the number. Any published figure without a stated window is unusable, and most are published without one.

Conditions do not generalize. Protocol versus non-protocol, one custodian versus three, $80M versus $800M, wirehouse versus independent origin. These are not adjustments to a baseline. They are different events.

Which means the right move is not to find a better published number. It is to stop looking for one.

Build the benchmark from your own book

Transition consultants and recruiting teams who run this repeatedly already hold better data than anything published. It is just not instrumented. The fix is three decisions, made before the next move rather than after.

Fix the denominator before day one. Track all three: client count, AUM, and trailing revenue. Report AUM retention as the headline because it drives economics, and always carry revenue retention alongside it. The spread between them is the single most diagnostic number in a transition. A wide gap says you kept the small accounts.

Fix the window and hold it. Measure at 90 days and at 12 months, every time, no exceptions. The 90-day number is your operational grade: it reflects repapering speed and NIGO handling. The 12-month number is your relationship grade. Teams that report a single blended figure are usually reporting whichever one looked better.

Segment before you average. A blended retention number across a book is close to meaningless. Segment by AUM tier at minimum. Most of the AUM sits in a small share of relationships, and their behavior is the whole outcome. A 94% blended number with your top decile at 78% is a bad transition wearing a good number.

Then hold the conditions with the result. Protocol status, custodian count, account types, days to full repaper. After four or five moves you have something no published study can give you: a benchmark for your kind of transition, run by your team.

For firms running transitions at volume, this is the asset. It is what separates transition consultants who can forecast an outcome from ones quoting an industry average they cannot source.

The variable you control

Once you segment your own data, a pattern shows up that the 97% figure structurally cannot: most transition attrition is operational, not relational.

Clients do not usually leave because they reconsidered the relationship. They leave because the paperwork was wrong twice, the account sat in limbo for six weeks, or nobody could tell them where their money was. That is a repapering failure being recorded as a loyalty failure, and it is why blaming attrition on client sentiment is usually a way of not looking at the ops log.

This is the mechanism worth measuring. Days to full repaper is a variable you control. NIGO rate is a variable you control. Both are upstream of the retention number, and unlike client loyalty, both respond to process. The relationship between transition speed and retained assets is covered in AUM retention during an advisor transition, and the timeline side in the repapering benchmark for moves under 30 days.

So instrument the causes, not just the outcome. Track days-to-repaper and NIGO rate per transition alongside retention, and after enough moves you can say something genuinely valuable: what a week of delay costs you in basis points. That is a sentence no industry benchmark will ever hand you, and it is the one that changes what a firm is willing to spend on process.

The mechanism runs through pre-submission validation. Rejects cluster into predictable categories, and an advisor transition platform that catches them before submission compresses the window where clients sit in limbo. Document intelligence attacks the same variable from the data-entry side, since a meaningful share of rejects trace to fields transcribed by hand. The advisor transition case study shows the timeline compression that follows.

What to tell an advisor who asks

When a $250M advisor asks what retention to expect, the wrong answers are 97%, or a confident number from an unverifiable study.

The right answer is a question: what does the book look like, is the firm in the Protocol, how many custodians, and how fast can we repaper? Then, if you have instrumented your own transitions, you can say what your last five moves of that shape produced, with the window and the denominator attached.

That answer is less satisfying than a number. It is also the only one that is true, and advisors evaluating a move can tell the difference between a firm that measured and a firm that memorized a statistic.

The 97% figure is not wrong. It is just an answer to a question nobody in a transition is asking.

Frequently asked questions

What is the average AUM retention rate during an advisor transition?

There is no verifiable public benchmark. The widely quoted 97% comes from Schwab's RIA Benchmarking Study, which measures annual client retention at roughly 1,300 established RIAs in steady state, not advisors mid-move. Transition-specific public research, such as Schwab's Supported Independence Study, mainly reports satisfaction findings rather than retention. Build the benchmark from your own transitions instead.

Why can't I use the 97% Schwab figure as a transition target?

Because it measures a different population under different conditions. It reports what share of clients stay with a functioning RIA over a year, with no resignation, no repapering, and no competitive pressure from a firm being left. A transition requires every client to take positive action and sign new paperwork while the prior firm actively retains. The stability of the figure across 2014 to 2024 is itself evidence it is not capturing transition dynamics.

Should I measure retention by client count, AUM, or revenue?

Track all three and report AUM retention as the headline, since it drives the economics. The spread between client-count retention and AUM retention is the most diagnostic figure you have. Losing 12% of clients but 3% of AUM means you kept the large relationships. The reverse means you lost the book that mattered while the headline number still looked acceptable.

When should retention be measured?

At 90 days and again at 12 months, using the same window every time. At 90 days, accounts still moving through ACATS can read as attrition when they are simply slow. At 12 months, ordinary churn contaminates the transition signal. A published retention figure with no stated measurement window cannot be compared to anything.

What actually drives transition attrition?

Predominantly operational failures rather than relationship ones. Clients leave when paperwork gets rejected repeatedly, accounts sit in limbo, or nobody can tell them where their assets are. That makes days-to-full-repaper and NIGO rate the upstream variables worth instrumenting, because unlike client loyalty they respond directly to process and pre-submission validation.