[ Multi-tenant, metered and billable from day one ]
Tenancy, plans, metering, trials, dunning and self-service onboarding. The parts that make software a business rather than a delivery are the ones most first SaaS builds leave until it is expensive to add.
Tenancy, plans, metering, trials, dunning and self-service onboarding. The parts that make software a business rather than a delivery are the ones most first SaaS builds leave until it is expensive to add.
Tell us how you intend to chargeShared schema with row-level security, schema per tenant, or database per tenant. Each has real consequences and changing later is a migration nobody enjoys.
Limits and features configured per plan so pricing can change without a deployment. Hard-coded tiers are the thing you regret first.
Usage recorded per tenant and reconciled against what is billed. Discovering the two disagree after customers have paid is a bad month.
Sign up, trial, convert, upgrade, downgrade and cancel without emailing anyone. Every step that needs a human is a step where customers drop out.
Tenancy, roles, invitations, workspace management and data isolation enforced at the database rather than trusted to application code.
Plans, trials, proration, dunning, invoices and tax, with access rules that follow the subscription state precisely.
Usage recorded per tenant, reconciled with billing, plus activation, retention and health metrics per account.
Shared, schema-per-tenant or database-per-tenant, decided on isolation requirements, tenant count and what your customers will ask about data separation.
Features, seats, usage caps and overage as configuration, with the enforcement points identified before any of it is built.
The thing customers actually pay for, with tenancy enforced at the data layer so a query can never cross a tenant boundary by mistake.
Trials, conversion, proration, dunning for failed cards, and access rules that match the billing state exactly. This is where the bugs live.
Usage metering, activation and retention events, and per-tenant health, so you can see which accounts are about to leave before they do.
Sign-up, workspace creation, sample data, an activation checklist and in-product guidance, measured on time-to-first-value.
The software is rarely what makes a SaaS product hard. Tenancy, plan enforcement, trials, proration, dunning, invoicing with GST, usage metering that matches what you bill, and onboarding that works without a salesperson — those are the parts that turn an application into a business, and they are all easier to build at the start than to retrofit.
The single most consequential decision is tenancy, because it is the hardest to reverse. Shared schema with row-level security suits most products; strict isolation requirements or enterprise buyers asking about data separation may push you further. We decide it deliberately in week one rather than by default.
Changing the isolation model after launch means migrating live customer data. It gets an explicit decision with the reasoning written down.
Pricing will change more often than the product. Limits and features as data means a new plan is a row, not a release.
Trial, active, past due, cancelled — each with defined access. Ambiguity here becomes either lost revenue or angry customers.
Per-seat alone is less common. Hybrid models need metering that is accurate and reconcilable from the start, not estimated later.
Self-serve trial and activation is now the default expectation for smaller plans, which makes time-to-first-value a design metric rather than a marketing one.
Data residency and separation questions arrive in the first sales cycle now, which pushes the tenancy decision earlier than founders expect.
Shared schema with row-level security for most products — simplest to operate and scales to a large number of tenants. Schema or database per tenant where isolation is contractually required or a small number of large customers demand it. The decision rests on your buyers and your compliance obligations more than on technology.
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