Built for teams buying a platform CRM, not a point tool

The CRM that treats the customer as a platform decision, with custom objects, workflows, and APIs on day one.

A platform CRM lets the business extend the schema, build workflows, consume APIs, and run multiple sales and service motions on one tenant without an engineering sprint per change. Strkr ships platform-grade extensibility at point-tool pricing.

What this audience is actually dealing with

The pains that bring buyers here.

Buyers evaluating a CRM for platform-grade work (schema extensibility, custom objects, workflow engine, API-first design, multi-motion support) end up with a short list of Salesforce, HubSpot Enterprise, Dynamics 365, or NetSuite CRM. The platform depth comes with 6 to 12 month implementations and $120 to $400 per seat pricing. The pain points below are what Strkr onboarding hears from platform-CRM evaluators.

Custom object friction

Three weeks of engineering per new object.

A platform CRM should let the admin add a custom object (product line, project, contract, warranty, support SLA) in a few minutes. Most enterprise CRMs require an engineering sprint of three weeks per custom object with Apex triggers, custom permissions, and dashboard rebuilds. Strkr's custom object support ships through the admin console with no code required.

Workflow engine depth

A declarative builder, not a scripting language.

A platform CRM needs a workflow engine that supports complex triggers (event, time-based, cross-record), conditional branches, loops, approval chains, and external API calls. Most tools either give you a weak builder (HubSpot workflows) or a scripting language (Salesforce Flow, Apex). Strkr's declarative workflow builder handles the common 95 percent of workflow depth without code.

API-first design

An OpenAPI spec, not a REST documentation page.

A platform CRM should be API-first with a published OpenAPI spec, a webhook delivery guarantee with HMAC signing, and a rate-limit policy that respects enterprise ingestion patterns. Most CRMs ship a REST documentation page and call it an API. Strkr ships a published OpenAPI spec, GraphQL endpoint, webhook spec with HMAC signing, and a published rate limit policy.

Multi-motion support

Sales, service, success, and partner on one tenant.

A platform CRM should run multiple motions on one tenant without multi-tenant workarounds. Sales motion, service motion, success motion, partner motion, and marketing motion all need their own pipelines, their own workflows, their own permission scopes. Strkr supports multi-motion with a unified data model and motion-specific surfaces.

Enterprise authentication

SSO, SCIM, verified domains, audit log.

Platform-grade authentication requires SSO (SAML, OIDC), SCIM provisioning, verified domains, MFA with TOTP and text, and audit log retention tunable to compliance requirements. Strkr runs SSO through Clerk on the Scale tier with verified domains and MFA across every tier. SCIM is on the roadmap for granular group sync.

Admin console self-service

Not every change needs an admin ticket.

A platform CRM should let the business user self-serve on common admin tasks (adding a field, building a report, tuning a workflow, extending a picklist) without filing an engineering ticket. Most enterprise CRMs require admin console depth that only an engineer can navigate. Strkr's admin console is designed for the MOps lead or RevOps analyst, not just the engineer.

The platform surface

The seven capabilities a platform CRM should ship on day one.

A platform CRM differentiates from a point tool through schema extensibility, workflow engine depth, API maturity, admin console self-service, multi-motion support, authentication depth, and audit log retention. Strkr ships all seven on day one.

Schema editor

Fields, objects, picklists, validation.

The schema editor lets the admin add fields, retype fields, add objects, extend picklists, and set validation rules without a developer. Every change logs in the schema change history with the author, timestamp, and before/after state. Rollback is available for the last 90 days.

Custom objects

First-class with full workflow and permission support.

Custom objects (product line, project, contract, warranty, support SLA, custom entity A, custom entity B) ship with full workflow support, full permission support, full report builder support, and full API support. Not a bolt-on with half-capabilities.

Workflow builder

Triggers, conditions, actions, branches, approvals.

The declarative workflow builder supports event triggers (record created, updated, deleted), time-based triggers (date passed, time elapsed), cross-record conditions, external API calls, email and SMS actions, record create and update actions, and approval chains. No code required.

API-first design

OpenAPI, GraphQL, webhook, rate limit.

The API surface includes a published OpenAPI 3 spec, a GraphQL endpoint, outbound webhooks with HMAC signing, and a published rate limit policy. The webhook delivery guarantee includes retry on failure, dead letter queue, and signature verification. The rate limit per tenant scales with the tier.

Report builder

Natural language or declarative query.

The report builder supports both natural language queries (show pipeline by rep for Q3) and declarative query building (field by field with aggregates and filters). The report runs against the live schema with sub-second response time. Reports export to CSV or JSON and can be scheduled to email delivery.

Permission matrix

Role, scope, object, action, field.

The permission matrix supports role-based access control with scope (own records, team records, organization records), object-level control, action-level control (read, write, delete), and field-level control (sensitive fields hidden for certain roles). The matrix supports hierarchical team structure with inheritance.

Audit log

Record read, write, delete, email, AI, admin.

The audit log captures every record read, record write, record delete, email send, AI prompt invocation, admin console change, and user login. Retention is tunable per tenant with 90-day default. The audit log is export-ready for compliance review (SOC 2, GDPR, HIPAA) in CSV or JSON format.

The multi-motion data model

Sales, service, success, partner, and marketing on one tenant.

A platform CRM should run multiple motions on one tenant with a unified data model and motion-specific surfaces. The cards below walk through what each motion needs and how Strkr ships it on one tenant.

Sales motion

Pipeline, forecast, activity, close plan.

The sales motion ships with pipeline management (stages, probability, forecast categories), activity capture (email, call, meeting, task), close plan tracking (mutual action plans, next steps, decision maker commitments), and forecast cadence (weekly submit, monthly roll-up). All on the standard pipeline surface.

Service motion

Case, SLA, escalation, resolution.

The service motion ships with case management (case types, severity, resolution tracking), SLA tracking per contract, escalation workflows (unassigned cases, breached SLA, escalation ladder), and resolution patterns (knowledge base integration, agent assist, automated resolution).

Success motion

Health score, playbook, QBR, renewal.

The success motion ships with health scoring (product usage, support ticket intensity, meeting cadence, champion engagement), playbook execution (activation, adoption, expansion, renewal), QBR workflow (pre-read generation, meeting notes, action tracking), and renewal cadence (180, 90, 60, 30 day touchpoints).

Partner motion

Deal registration, tier, co-sell, commission.

The partner motion ships with deal registration (submission, validation, conflict detection, approval), tier management (migration cadence, tier benefits, tier-based routing), co-sell workflow (shared opportunities, mutual visibility), and commission tracking (rule engine, earned-vs-paid, dispute resolution).

Marketing motion

Campaign, lifecycle, attribution, segmentation.

The marketing motion ships with campaign management (email, SMS, in-app, direct mail), lifecycle stages (lead, MQL, SQL, opportunity, customer), attribution (first-touch, last-touch, linear, time-decay, position-based, data-driven), and segmentation (declarative segment builder with cross-record criteria).

Cross-motion unified view

One customer, five motions, one picture.

A customer in Strkr has one record with activity from all five motions aggregated. The sales rep sees the full history including open support cases, success activation status, partner-sourced deal context, and marketing campaign exposure. No duplicate records across motion-specific tools.

The API-first surface

What a platform-grade API looks like.

A platform CRM differentiates on API depth. Strkr's API-first design covers the common integration patterns a mature engineering team expects: published OpenAPI spec, GraphQL endpoint, outbound webhooks with HMAC signing, consistent rate limit policy, and reliable delivery semantics.

OpenAPI 3 spec

Machine-readable, versioned, published.

The OpenAPI 3 spec publishes to developer docs with versioning (v1 and v2 cohabit during transition), machine-readable in JSON and YAML formats, and tested against the live production API. The spec drives client library generation in TypeScript, Python, Go, Ruby, Java, PHP, C#, Rust, and Swift.

GraphQL endpoint

For teams that prefer declarative queries.

The GraphQL endpoint supports declarative queries, mutations, subscriptions, and introspection with the full schema surface. Teams that prefer GraphQL over REST (particularly for mobile app development and complex nested queries) can use the GraphQL endpoint instead of or alongside the REST surface.

Webhook delivery

HMAC signed, retry on failure, dead letter.

Outbound webhooks sign with HMAC-SHA256 using a per-webhook secret. Delivery includes retry on failure with exponential backoff (5 attempts over 24 hours), dead letter queue for permanent failures, and admin console visibility into delivery status per webhook. Replay from dead letter is one-click.

Rate limit policy

Published, tiered, predictable.

The rate limit policy publishes clearly: 1,000 requests per minute per tenant on Starter, 5,000 on Pro, 20,000 on Scale, with burst capacity. Rate limit headers accompany every response (remaining, reset time). Enterprise tier supports custom rate limits for teams with ingestion-heavy patterns.

API keys and OAuth

Both patterns for different integration types.

Server-to-server integrations use API keys with per-key permission scoping. Third-party apps use OAuth 2 with the standard authorization code flow and refresh token rotation. The admin console tracks every API key and OAuth client with usage statistics and revocation controls.

Developer sandbox

Full-feature trial for integration builds.

Every account includes a developer sandbox for integration builds that mirrors production without affecting production data. The sandbox resets on demand, supports realistic data volumes, and includes the full API surface including webhooks. Builder teams can test full integration cycles before production deployment.

Head-to-head

Strkr vs Salesforce Platform.

The comparison below is Strkr's platform-CRM posture versus Salesforce Platform (the extensible Salesforce tier). The pricing comparison assumes a 60-user team.

Feature Strkr Salesforce Platform
Custom objects Admin console, no code. Admin console or Apex.
Workflow engine depth Declarative builder, 95 percent coverage. Flow Builder plus Apex for depth.
API surface REST, GraphQL, webhook, rate limit published. REST, SOAP, Bulk, Streaming, limits per org.
Multi-motion on one tenant Sales, service, success, partner, marketing. Separate SKUs per motion typical.
Admin console self-service Business user, no developer. Admin plus developer typical.
SSO through SAML and OIDC Scale tier. Enterprise tier.
Audit log retention Tunable per tenant. Short default, longer at Enterprise.
AI drafting with scope control Strkr AI add-on $49 per month per seat. Einstein add-on at higher per-seat cost.
Setup time to first value 28 to 90 business days. 6 to 18 months typical.
Price per seat Flat $29 to $119 per user per month. $100 to $300 per user per month typical.
How teams use Strkr

Five platform-CRM playbooks.

The playbooks below are the patterns Strkr's onboarding team sees on platform-CRM deployments, from a 40-rep SaaS team to a 240-user enterprise manufacturer.

Pattern A

The 40-rep SaaS platform rebuild.

A 40-rep SaaS team ran Salesforce Platform with 11 AppExchange add-ons, 24 custom objects, and a 1 FTE admin role. The CRO wanted the platform capability at point-tool pricing. Strkr onboarding ran a 42-business-day migration with the custom objects, workflows, and API integrations ported. Annual tool spend dropped 68 percent. The admin console self-service lifted the business user capability.

Pattern B

The 90-user service company.

A 90-user service company (field service, scheduling, dispatch, invoicing) ran NetSuite CRM with a $280,000 annual spend and a 6-month implementation. The CFO ran the numbers. Strkr onboarding ran a 60-business-day migration with the field service custom object, dispatch workflow, and invoicing API integration. The service team shipped with multi-motion support on day 60.

Pattern C

The 180-user hardware manufacturer.

A 180-user hardware manufacturer ran Dynamics 365 Sales plus Dynamics 365 Field Service with a $420,000 annual spend. The CIO wanted platform capability without the Dynamics overhead. Strkr onboarding ran a 90-business-day migration with the custom product line objects, service case workflows, and ERP integration. Monthly tool spend dropped 71 percent.

Pattern D

The 60-rep marketplace platform.

A 60-rep marketplace platform (buyers and sellers as two customer types) ran a bespoke build on Salesforce Platform. The engineering team wanted to retire the bespoke build. Strkr onboarding configured the buyer and seller custom objects with cross-side relationship tracking. The bespoke build retired in month 3. Engineering saved 2 FTE on CRM maintenance.

Pattern E

The developer API-first adoption.

A 24-person developer tool company adopted Strkr specifically for the API-first design. The engineering team wanted the published OpenAPI spec, the GraphQL endpoint, the webhook HMAC signing, and the developer sandbox. The go-to-market team ran their sales, success, and marketing motions on the same tenant. The API-first integration landed in week 1.

Run your business on a platform CRM without the platform-CRM price.

Book a 30 minute call. We will walk through the platform surface, the multi-motion data model, and the API-first design with your actual schema needs and integration requirements.

Common questions

What buyers in this bucket ask most.

How does Strkr handle custom objects compared to Salesforce or Dynamics?

Custom objects ship as first-class citizens with full workflow support, full permission support, full report builder support, and full API support. The admin adds a custom object through the admin console in minutes without code. Salesforce and Dynamics support custom objects natively but often require Apex triggers (Salesforce) or Power Platform licensing (Dynamics) for advanced workflow and permission scenarios. Strkr covers 95 percent of these scenarios in the admin console.

Does Strkr have a published OpenAPI spec and a GraphQL endpoint?

Yes. The OpenAPI 3 spec publishes to developer docs with versioning in JSON and YAML formats. The GraphQL endpoint supports queries, mutations, subscriptions, and introspection with the full schema surface. Client libraries generate from the OpenAPI spec in TypeScript, Python, Go, Ruby, Java, PHP, C#, Rust, and Swift. The developer sandbox mirrors production for integration builds.

What is the pricing for a 60-user platform-CRM team?

Flat per-seat pricing at $29 per user per month on Starter, $59 on Pro, and $119 on Scale with SSO through Clerk, verified domains, and MFA. There is a 14-day trial on every tier. The Strkr AI add-on runs $49 per month per seat with 5,000 AI calls included (overage at $0.012 per call). A 60-user team on Scale with the AI add-on runs about $10,080 per month, which replaces a typical $25,000 to $45,000 per month platform-CRM spend.

Does Strkr support SSO, SCIM, and enterprise authentication?

Yes. SSO through SAML and OIDC is live on the Scale tier through Clerk. Verified domains let the enterprise control which email domains authenticate against the tenant. MFA is live across every tier with TOTP and text-based verification. SCIM user provisioning is on the roadmap for granular group-sync patterns. Audit log retention is tunable per tenant with 90-day default and extensible to the enterprise compliance requirement.

How does Strkr handle multi-motion support on one tenant?

Sales, service, success, partner, and marketing motions all run on one tenant with motion-specific surfaces (pipelines, dashboards, workflows) and a unified data model (one customer record, aggregated activity across motions). The role model supports distinct motion-based access (service team sees cases, sales team sees pipeline, success team sees health scores) while the unified customer view aggregates for leadership reporting. No duplicate records across motion-specific tools.

Can Strkr handle enterprise-scale data volumes without performance degradation?

Yes. Strkr's architecture (ADR-026 three-tier model routing, HNSW indexed memory, DiskANN vector search, materialized rollups) stays flat past multi-million record counts. For enterprise deployments past 10 million records the recommendation is a phased migration (team-by-team cutover across 90 to 180 business days) to minimize change-management risk. The platform supports the scale from day one; the rollout pace is set by change-management, not technology.

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