writer AUM Growth Attribution
Overview
Decompose Assets Under Management (AUM) growth into its fundamental drivers to provide transparency into practice health and growth quality. This skill separates market-driven growth (beta) from organic growth (net new assets), further breaking organic growth into client acquisition, existing client contributions, distributions/withdrawals, and client attrition. Attribution enables leadership to distinguish sustainable growth from market-dependent growth and evaluate advisor and team productivity.
When to Use
- Monthly/quarterly management reporting on practice growth
- Advisor performance evaluation and compensation planning
- Business development strategy assessment and planning
- Forecasting AUM and revenue under various market scenarios
- Benchmarking organic growth rates against industry standards
- Analyzing the sustainability and quality of growth
- Board/stakeholder reporting on wealth management business unit performance
Required Inputs
| Input | Description | Format |
|---|---|---|
| AUM snapshots | Beginning and ending AUM for the period | Account-level data |
| Cash flows | All contributions, withdrawals, distributions, fees | Transaction data |
| New accounts | Accounts opened during the period with funding amounts | Account records |
| Closed accounts | Accounts closed/transferred with terminal values | Account records |
| Market returns | Benchmark returns for asset classes held | Market data |
| Fee schedule | Advisory fees charged during the period | Billing data |
| Advisor assignment | Account-to-advisor mapping | CRM data |
Methodology
Step 1 — AUM Bridge Construction
Build the period AUM bridge from beginning to ending balance:
Beginning AUM
+ Market appreciation/depreciation
+ New client assets (new relationships)
+ Existing client contributions (additional deposits)
- Client withdrawals and distributions
- Client attrition (lost relationships)
- Advisory fees deducted
+ Other adjustments (account transfers, reclassifications)
= Ending AUM
Each component must be precisely calculated so the bridge reconciles exactly to the actual ending AUM (no unexplained residual).
Step 2 — Market Return Attribution
Isolate the market-driven component of AUM change:
- Method: Calculate the time-weighted return (TWR) of the aggregate portfolio, then apply to beginning AUM
- Market appreciation = Beginning AUM × Portfolio TWR for the period
- Asset class decomposition: Break market return into contributions from each asset class:
| Asset Class | Weight (Avg) | Asset Class Return | Contribution to Return |
|---|---|---|---|
| US Equity | XX% | X.X% | X.XX% |
| Int'l Equity | XX% | X.X% | X.XX% |
| Fixed Income | XX% | X.X% | X.XX% |
| Alternatives | XX% | X.X% | X.XX% |
| Cash | XX% | X.X% | X.XX% |
| Total | 100% | X.XX% |
- Brinson attribution: If applicable, decompose into allocation effect (asset class weighting vs. benchmark) and selection effect (security/manager selection within asset class)
- Dollar impact: Market-driven AUM change in dollar terms
Step 3 — Organic Growth Decomposition
Calculate net new assets (NNA) — the key organic growth metric:
New client assets:
- Count of new relationships established
- Total initial funding from new clients
- Average new client size
- Source analysis: Referrals, COI introductions, marketing, organic inquiries
- Cost of acquisition (if available): Marketing spend / new client count
Existing client net flows:
- Additional contributions from existing clients (new money)
- Systematic investment plan contributions
- Retirement account rollovers into existing relationships
- One-time events (inheritance deposits, business sale proceeds)
- Scheduled withdrawals and distributions (retirement income, RMDs)
- Ad hoc withdrawals (home purchase, education, emergency)
Net new assets calculation: NNA = New client assets + Existing client contributions - Existing client withdrawals
Organic growth rate: Organic Growth Rate = NNA / Beginning AUM × 100
Industry benchmark for organic growth rate: 3%–5% annually is considered healthy for established practices; 5%+ is strong growth.
Step 4 — Attrition Analysis
Quantify and analyze client losses:
- Accounts lost: Number of relationships terminated or transferred away
- AUM lost: Dollar value of assets departing
- Attrition rate: Lost AUM / Beginning AUM (annualized)
- Gross vs. net: Gross attrition (total departures) vs. net attrition (departures minus new)
Attrition driver analysis:
| Reason | Accounts | AUM Lost ($M) | % of Attrition |
|---|---|---|---|
| Moved to competitor | X | $X | XX% |
| Deceased | X | $X | XX% |
| Divorce/relationship split | X | $X | XX% |
| Dissatisfaction | X | $X | XX% |
| Fee sensitivity | X | $X | XX% |
| Advisor departure | X | $X | XX% |
| Account consolidation | X | $X | XX% |
| Other/unknown | X | $X | XX% |
Controllable vs. uncontrollable attrition: Separate attrition into controllable (dissatisfaction, fees, competitor — actionable) and uncontrollable (death, relocation, life events — expected baseline).
Industry benchmark: Annual attrition rate of 3%–5% is typical; >7% warrants investigation.
Step 5 — Revenue Impact Analysis
Connect AUM changes to revenue:
- Fee revenue bridge: Map AUM changes to fee revenue impact
- Market-driven AUM change × average fee rate = Market-driven revenue change
- NNA × average fee rate × partial-year factor = Organic revenue change
- Attrition AUM × average fee rate × partial-year factor = Revenue loss
- Fee rate analysis: Average fee rate trend (blending effect of new clients vs. departures)
- Revenue per advisor: AUM per advisor × average fee rate
- Breakeven analysis: NNA required to offset fee compression (if fee rates declining)
Step 6 — Advisor-Level Attribution
Break down AUM growth by individual advisor or team:
| Advisor | Beg AUM ($M) | Market ($M) | New Clients ($M) | Net Flows ($M) | Attrition ($M) | End AUM ($M) | Organic Rate |
|---|---|---|---|---|---|---|---|
| [Name] | $XX | $X.X | $X.X | $X.X | ($X.X) | $XX | X.X% |
| [Name] | $XX | $X.X | $X.X | $X.X | ($X.X) | $XX | X.X% |
| Total | $XXX | $XX | $XX | $XX | ($XX) | $XXX | X.X% |
- Productivity metrics: New clients per advisor, NNA per advisor, revenue per advisor
- Ranking: Rank advisors by organic growth rate for compensation and recognition purposes
- Trend: Quarter-over-quarter and year-over-year growth rate trends per advisor
- Pipeline analysis: Weighted pipeline of prospective new clients and expected funding
Step 7 — Forecasting and Scenario Analysis
Project AUM and revenue forward under scenarios:
Base case:
- Market return assumption: [X%] (based on CMAs or historical average)
- Organic growth assumption: [X%] (based on trailing 12-month trend)
- Attrition assumption: [X%] (based on trailing 12-month rate)
- Fee rate assumption: [X bps] (current blended rate)
- Projected ending AUM: $[X]
- Projected revenue: $[X]
Bull case: Market +[X%], organic growth +[X%], attrition -[X pp] Bear case: Market -[X%], organic growth -[X pp], attrition +[X pp]
Revenue sensitivity: Show how each 1% change in market return, organic growth, or attrition affects annual revenue.
Output Specification
## AUM Growth Attribution Report — [Period]
### AUM Bridge
| Component | Amount ($M) | % of Change |
|-----------|-----------|------------|
| Beginning AUM | $XXX.X | |
| Market appreciation | $XX.X | XX% |
| New client assets | $X.X | XX% |
| Existing client contributions | $X.X | XX% |
| Withdrawals/distributions | ($X.X) | XX% |
| Client attrition | ($X.X) | XX% |
| Fees deducted | ($X.X) | XX% |
| **Ending AUM** | **$XXX.X** | |
### Key Metrics
| Metric | Current Period | Prior Period | YoY | Benchmark |
|--------|---------------|-------------|-----|-----------|
| Total growth rate | X.X% | X.X% | +/-X.X% | — |
| Organic growth rate | X.X% | X.X% | +/-X.X% | 3–5% |
| Attrition rate | X.X% | X.X% | +/-X.X% | <5% |
| New clients | XX | XX | +/-XX | — |
| Avg new client size | $XXX K | $XXX K | +/-X% | — |
| Revenue impact | $X.X M | $X.X M | +/-X% | — |
### Advisor Leaderboard
[Advisor-level attribution table]
### Growth Quality Assessment
- Market-dependent growth: XX% of total
- Organic growth: XX% of total
- Growth sustainability rating: [Strong / Moderate / Weak]
### Forecast
[Scenario table with base, bull, and bear projections]
Analysis Framework
Apply the GRAIN framework:
- Growth decomposition — Separate market from organic growth precisely
- Retention analysis — Quantify and categorize attrition drivers
- Advisor attribution — Assign growth components to individual producers
- Income impact — Connect AUM changes to revenue effects
- Next period forecast — Project forward under multiple scenarios
Examples
Example 1 — Strong Organic Growth Quarter
Q3 results: Beginning AUM $850M, ending AUM $912M (+$62M, +7.3%). Attribution: Market +$38M (4.5%), new clients +$18M (5 new relationships, avg $3.6M), existing client contributions +$8M, withdrawals -$6M, attrition -$4M (1 relationship lost to competitor), fees -$2M. Organic growth rate: 2.4% for the quarter (9.6% annualized), well above the 3–5% industry benchmark. Growth quality: Strong — organic growth represents 35% of total growth, indicating sustainable practice expansion not purely dependent on market returns.
Example 2 — Market-Masked Attrition Problem
YTD results: AUM grew 11% from $1.2B to $1.33B. Surface-level: appears healthy. Attribution: Market +$168M (+14%), new clients +$22M, contributions +$15M, withdrawals -$18M, attrition -$42M (8 relationships lost), fees -$15M. Organic growth rate: -1.9% (net outflows of $23M). Attrition rate: 3.5% (elevated). Diagnosis: Strong market returns masked a net-negative organic growth problem. Without the 14% market tailwind, the practice would have shrunk. Three of 8 lost clients cited fee dissatisfaction. Recommendation: Conduct fee competitiveness analysis, implement client retention program, investigate advisor service quality for clients at risk.
Guidelines
- Reconcile the AUM bridge exactly to actual ending AUM — no unexplained residuals
- Use time-weighted returns (TWR) for market attribution; money-weighted for client-specific analysis
- Annualize growth rates for comparability across periods of different lengths
- Separate controllable from uncontrollable attrition for actionable insights
- Track organic growth rate as the primary health metric, not total AUM growth
- Benchmark organic growth against industry standards (Cerulli, FA Insight, InvestmentNews benchmarks)
- Include pipeline data in advisor-level reporting to provide leading indicator context
- Present growth quality metrics (organic as % of total) alongside absolute growth
Validation Checklist
- AUM bridge reconciles exactly (beginning + components = ending, no residual)
- Market return calculated using time-weighted methodology
- New client assets distinguished from existing client contributions
- Attrition tracked by reason with controllable/uncontrollable classification
- Fee revenue impact calculated for each AUM component
- Advisor-level attribution sums to practice total
- Organic growth rate annualized for cross-period comparability
- Forecasting assumptions documented and internally consistent
- Industry benchmarks cited for organic growth and attrition rates
- Growth quality assessment distinguishes sustainable from market-dependent growth