Cube vs Mosaic for RIAs: Fee Income and Payout Grid Modeling
For a registered investment advisor, Cube fits better than Mosaic when you need to separate net new client inflows from market performance and calculate advisor payouts under a tiered grid, because Mosaic's engine was built for subscription renewals and churn. Most RIA revenue is a basis point fee on assets under management.
Mosaic's automated metrics engine was built for subscription businesses where a customer either renews or churns. An RIA client relationship doesn't work that way: the same household can pull half its assets to a rival advisor without ever formally leaving, and the fee line just shrinks. Cube and Jirav both let you build that distinction yourself in a model you can trace back to a specific custodian statement, which matters more here than in most industries this comparison covers.
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Splitting Market Return From Net New AUM in the Same Revenue Line
Assets under management at the end of a quarter equal the beginning balance, plus net new client inflows, plus or minus market performance, minus withdrawals. Fee revenue is a fraction of that ending balance. If your finance function only tracks total AUM and total fee revenue, a strong quarter in the market can mask a firm that's actually losing clients, and a weak quarter can hide the fact that your advisors brought in real new business.
Mosaic's waterfall logic wants a clean new-expansion-contraction-churn split, which fits a subscription business but has to be adapted by hand for an RIA, since there's no natural "churn" event, only a shrinking balance. Cube and Jirav let you build separate inflow and market-return columns directly into the model, pulling beginning and ending AUM by household from your custodian feed and calculating the market-return residual yourself.
Modeling a Multi-Tier Advisor Payout Grid, Not a Flat Split
Most RIAs pay advisors on a grid: a lower percentage of trailing revenue below a threshold, stepping up at defined breakpoints, sometimes with a separate rate for assets an advisor brought in personally versus a house account they inherited. A team that shares a book complicates this further, since credit has to be split before the grid math even starts.
Cube and Jirav handle this well because a payout grid is just a lookup formula against trailing revenue, something a spreadsheet-native tool is built for. Mosaic's compensation modeling assumes department-level budgets and headcount, not a per-producer grid that resets every period, so you'd be working around the tool rather than with it. If your grid has more than two tiers or any team-split rules, budget extra setup time either way.
Reconciling Billed Fees Against What the Custodian Actually Paid
Fees billed in advance based on a beginning-of-quarter balance rarely match what actually gets remitted, since a client can add or withdraw funds mid-quarter, or qualify for a fee waiver or breakpoint discount you forgot to apply. Left unreconciled, that gap compounds across a book of a few hundred households into a real accuracy problem for your own revenue forecast.
Ask Cube which custodian platforms, such as Schwab Advisor Center, Fidelity Wealthscape, or Pershing, it supports through file feeds or integrations, and decide how granular you want the reconciliation to be. Mosaic can ingest the same feeds but expects them formatted closer to a billing system's native export, so a custodian that only offers CSV downloads means more manual mapping work up front.
What a Dedicated Ops or Compliance Hire Actually Costs
A solo advisor or a two-person partnership usually runs billing, reconciliation, and compliance filings themselves. Somewhere past a few hundred million in AUM, or once a second custodian relationship or a state registration change enters the picture, that stops being sustainable and firms bring on a dedicated operations or compliance associate.
Nationally, accountants, auditors, and comparable finance staff carry a median salary a little under $84,000 a year, with the top quartile clearing $110,0001. A compliance-focused ops hire at an RIA often lands closer to that top quartile once you factor in the Series 65 or IAR registration knowledge the role requires. Either Cube or Jirav can shorten the ramp-up for that hire by giving them a model that already reflects your grid and reconciliation logic, instead of one they have to build from scratch.
Choosing Based on How Standardized Your Payout Grid Already Is
- If your payout grid has two or fewer tiers and no team-split rules, Mosaic's compensation module can likely handle it with modest configuration.
- If your grid has multiple tiers, team-shared books, or a different rate for house accounts versus advisor-sourced business, Cube's spreadsheet-native formulas will get you there faster than adapting Mosaic's model.
- If you're a smaller multi-advisor practice that wants a working forecast quickly without building the model yourself, Jirav's driver-based templates may get you to something usable sooner, so test that in a trial.
Whichever you pick, build the market-return-versus-inflow split first. It's the one number that tells you whether the firm is actually growing or just riding the market.
What Good Looks Like
A well-run RIA separates fee revenue driven by market performance from fee revenue driven by net new AUM inflows every month, calculates each advisor's payout against the grid tier they've actually earned, and can show a lender or a succession buyer a forecast that doesn't assume the market only goes up.
Building The Capability (5-Stage Skill Ladder)
How to Get Started
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Cube fits an RIA that wants its payout grid and market-versus-inflow logic in a spreadsheet it can trace back to a custodian statement.
Mosaic fits an RIA whose fee billing already comes from one clean custodian feed and doesn't need a custom multi-tier payout grid.
Jirav fits a smaller multi-advisor practice that wants a driver-based forecast built quickly without configuring a spreadsheet model from scratch.
Frequently Asked Questions
Can Cube or Mosaic pull AUM and fee data directly from custodians like Schwab or Fidelity?
Both can ingest custodian data, usually through a file feed or an integration layer rather than a live API for every custodian. Cube tends to be more flexible about the format it accepts. Either way, plan on a setup phase where you map custodian fields to your model before the feed runs cleanly on its own.
How should we model a payout grid with multiple revenue tiers?
Build it as a lookup formula against each advisor's trailing twelve months of fee revenue, with breakpoints matching your actual grid. Cube and Jirav handle this natively as spreadsheet logic. Mosaic can approximate it, but you'll likely be adapting its department-budget compensation module rather than using a purpose-built grid feature.
Is Jirav a better fit than Cube or Mosaic for a small multi-advisor RIA?
Often yes, if you want a working model fast and don't have deep spreadsheet-modeling time to invest. Jirav's driver-based templates get a small practice to a usable forecast quickly. A larger firm with a custom grid or multiple custodians usually outgrows that template faster and moves to Cube.
Sources
Where we quote a benchmark, we show its source. Other figures in this guide are estimates or general guidance, so check them against your own numbers.
- Annual wage, Accountants and Auditors (SOC 13-2011), US all industries. BLS OEWS May 2025, 2025.
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