When does a custom CRM build still make sense versus a configurable platform?
A custom CRM build still makes sense in roughly six situations. First, when the CRM itself is the product being sold (building a CRM software company). Second, when the vertical is regulated specifically enough that a dedicated vertical product (Veeva for pharma, Deltek for defense) is the right answer rather than either custom or horizontal platform. Third, when on-premise data residency to specific hardware is required (certain government classified systems). Fourth, when the business is building a platform-with-ecosystem play (AppExchange competitor). Fifth, when a 30-year legacy data model cannot normalize to any platform cleanly. Sixth, when a fully bespoke UI to the pixel is required for brand reasons that no platform configuration can match. For most buyers scoping a custom CRM build, none of these six apply, and a configurable platform like Strkr covers 85 to 90 percent of the scope at 10 percent of the 3-year cost.
How does Strkr handle custom data models that off-the-shelf CRMs cannot?
Strkr ships a custom object builder that creates new entity types with custom fields, relationships to other objects (one-to-many, many-to-many, self-reference), audit history, and permission scoping. Common vertical custom objects (policies for insurance, portfolios for wealth management, submittals for construction, encounters for healthcare, matters for law) encode in Strkr as custom objects with the specific field types and relationships needed. Flow authoring handles the workflow logic that moves records through the lifecycle. HTTP action nodes handle integration with vertical-specific external systems. The common scope that drove custom builds a decade ago (vertical entity model, vertical workflow, vertical integration) now resolves inside Strkr for roughly 85 percent of cases.
What is the all-in 3-year cost of a Strkr deployment versus a custom build for a 40-seat team?
Strkr 3-year math for a 40-seat team: flat per-seat licensing at the Strkr rate times 40 seats times 36 months runs roughly 70,000 to 110,000 total licensing. Implementation (data migration, workflow configuration, integrations, training) runs 25,000 to 50,000 depending on the complexity. Total 3-year: roughly 95,000 to 160,000. Custom build 3-year math: initial development 400,000 to 1,200,000, year 1 to 3 maintenance at 25 to 35 percent annually runs 300,000 to 850,000, year 2 to 3 feature additions 300,000 to 800,000, platform migration risk 150,000 to 400,000, opportunity cost of engineering 1,000,000 to 3,000,000 if the engineers come from your core product team. All-in: roughly 1,300,000 to 3,000,000. The ratio is roughly 10x to 20x in favor of the platform.
Can we extend Strkr if we hit a feature gap?
Yes, through three extension surfaces. First, the Flow canvas with typed variables, HTTP action nodes, and condition editors handles custom workflow logic without code. Second, the HTTP action node with the encrypted credential store handles authenticated API integration against arbitrary external systems. Third, Strkr's API covers every object with REST endpoints and webhooks, so a custom frontend or mobile app can integrate with Strkr as the backend. The combination handles roughly 95 percent of the extension asks that drive custom builds. For the remaining 5 percent, Strkr's product team runs a quarterly roadmap input session with partners and large customers to prioritize platform-level feature additions.
How does Strkr handle compliance (SOC 2, HIPAA, GDPR, state privacy laws)?
SOC 2 Type II controls cover the Strkr platform with annual audit. HIPAA BAA is available for healthcare customers. GDPR controls (data residency, data export, data deletion, consent tracking) are built into the platform. State privacy laws (CCPA for California, state-level privacy laws for Colorado, Virginia, Connecticut, and others) are tracked by the Strkr compliance team with platform-level updates as the laws evolve. The compliance posture updates on the platform side without the business taking on compliance maintenance as an in-house engineering cost. For regulated industries this is one of the largest cost differences versus a custom build, which must track compliance evolution on an in-house maintenance line indefinitely.
What if we start on Strkr and later decide we really do need a custom build?
Starting on Strkr for 12 to 18 months before deciding on a custom build is actually the recommended path even for teams leaning toward custom. Strkr covers 85 to 90 percent of common CRM scope out of the box, which means 12 to 18 months on Strkr lets the team identify the specific 10 to 15 percent gap that would justify custom. The gap list is almost always smaller and more specific than the initial custom-build quote scoped, which collapses the custom build to a much narrower scope (a specific integration, a specific UI surface, a specific workflow extension). Full data export via API covers every object, so the data migration out of Strkr into a custom build is clean. The pattern we see is: teams start on Strkr thinking they will go custom in year 2, discover the gap list is a dozen items instead of hundreds, and stay on Strkr with those dozen items configured through Flow and HTTP actions.
