Custom LMS ROI, modeled in plain USD. See the payback math, the break-even point, and how owning beats per-seat SaaS across different headcounts.
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The real options behind build vs buy LMS, the decision criteria that matter, and how the five-year numbers actually shape up for multi-site US firms.
Every line item in an LMS budget over five years, compared across rented SaaS and a platform you own outright.
What per-user LMS pricing actually ranges to, the factors that move it, and why owned platforms break the per-user math entirely.
The question every finance partner asks about a custom or owned platform is fair: if the upfront cost is higher than a SaaS subscription, when does it pay back? Custom LMS ROI isn't a matter of faith — it's a break-even calculation you can run on a napkin, and it lands sooner than most teams expect.
This post lays out the payback math in plain US dollars. Everything below is illustrative model math, not a quote and not a real customer's numbers — plug your own figures into the TCO calculator for your actual five-year picture.
Per-seat SaaS is a variable cost that rises two ways at once: every new hire adds a seat, and every renewal raises the rate. An owned platform is mostly a fixed cost — a one-time build, then a flat-ish hosting and support contract that doesn't care how many badges you add.
So the payback question is really: how long does the rising rent take to overtake the fixed cost of owning?
That depends on three numbers you already have:
Say you're a 200-person firm across three sites. Take a SaaS rate of $9 per user per month, rising 8% a year. Against that, an owned Moodle-based platform: a $55,000 build, $3,600/year hosting, and a $10,000/year support contract.
Here's the cumulative cost, year by year:
The SaaS column starts cheap and compounds. The owned column starts high, then climbs slowly. They cross late in year five — and from that point the gap only widens, because SaaS keeps rising while the owned cost stays flat.
That's the conservative version, with a modest 8% increase and no premium-tier add-ons. Two things move the break-even earlier in the real world.
Every new badge is free on an owned platform and adds rent on SaaS. A firm growing from 200 to 280 over five years pays for those 80 seats every month on a subscription, and nothing extra on an owned platform. Growth alone can pull break-even from year five into year three.
The headline per-seat rate rarely survives the contract. Advanced reporting, the API tier, white-labeling, premium connectors — each is an add-on. When those stack, the effective SaaS rate climbs well above the quoted number, and the crossover arrives sooner.
SaaS vendors meter premium connectors for HRIS, ERP, and the like — often as annual fees per integration. An owned platform builds the integration once and you own it, with no recurring connector tax. For a firm with three or four real integrations, this line alone can cover a chunk of the build.
Roughly speaking, the more seats you carry, the faster owning pays back, because the fixed build is spread across more rent you're no longer paying.
Below roughly 100 stable learners, the build cost takes long enough to recover that renting can genuinely be the better deal. Above 200 and growing, owning tends to pay back inside the same window you'd otherwise be signing a renewal for. The deeper view is in our cost-per-user benchmarks and the total cost of ownership breakdown.
Pure cost crossover undersells the case, because owning produces value the subscription line never captures.
None of these show up in the per-seat line, but they're part of the real return — and for compliance-heavy multi-site operators, they often matter more than the dollar crossover. When you need to defend the full return in finance's own terms, our guide on calculating LMS ROI and proving it to a CFO walks the method.
The honest way to decide is to model it, not argue it.
The build-vs-buy guide walks a buying committee through exactly this exercise.
Custom LMS ROI is a break-even calculation, and for a mid-market multi-site firm with steady or growing headcount it usually breaks even somewhere between year three and year five — sooner if you're growing, adding integrations, or facing premium-tier creep. Past break-even, the gap widens every year, because owning is flat and renting only rises.
Run the model with your own numbers before you decide. If owning crosses below renting inside your planning horizon — and for most operators it does — the case makes itself.