Does Strkr replace Salesforce or sit on top of it?
Strkr sits on top of Salesforce for teams that treat Salesforce as the system of record, with a native bidirectional sync that reads and writes opportunities, accounts, contacts, leads, custom objects, and the activity timeline. For teams migrating off Salesforce entirely, Strkr runs the CRM natively on the shared record store. Either direction is supported with the same Strkr AI insights layer, the same roadmap surface, and the same workflow engine. The Salesforce connector configures through OAuth with a tenant-level credential and the admin maps standard and custom objects, standard and custom fields, picklist values, and formula fields. Conflict resolution rules are configurable per object.
What AI business insights ship for Salesforce teams?
The nine Strkr AI insights most Salesforce teams rely on first are pipeline velocity (days-in-stage per stage per rep with slow-stage detection), forecast accuracy (submitted versus actual per rep over trailing four quarters), win rate by segment (industry, company size, source, ICP tier with sample size noted), deal risk signal (close-date slips, long time-in-stage, missing champion engagement, competitor mentions), account health (signal-based score with specific drivers rather than a black-box number), churn risk (declining usage, growing ticket volume, champion departure, long-silent executive engagement), expansion signal (rising engagement, new feature adoption, new team onboarding), cohort retention (retention curves by signup month with inflection points surfaced), and rep coaching report (specific signals per rep with recommended coaching action). Each insight reads the synced Salesforce record and updates in real time.
How does the roadmap surface tie to Salesforce?
The native roadmap surface ties engineering tasks and sprints to Salesforce accounts, opportunity dollar amounts, and account tiers. Every feature on the roadmap carries a list of accounts that requested it with the dollar amount at risk if the feature does not ship, so the product team prioritizes on revenue impact rather than loudest voice. The roadmap filters by revenue tier (enterprise, mid-market, SMB) so each go-to-market view is distinct. Capacity planning renders engineering hours against the committed roadmap so overload surfaces before the sprint ships. Dependency view renders feature dependencies as a graph so blockers surface at planning time. Customer feedback captured from the AE, CSM, and support team attaches to the roadmap feature. Post-release, Strkr AI correlates feature adoption with pipeline progression and win rate so the product team learns from the ship rather than guessing.
How does the workflow automation layer compare to Zapier, Workato, or Mulesoft?
The Strkr workflow engine runs on the shared record store with Salesforce as a first-class connector rather than a webhook endpoint behind a middleware tier. Triggers fire on Salesforce field changes, stage changes, record creation, or custom platform events. Action nodes include update Salesforce record, create record, delete record, SOQL query, Apex callout, and Salesforce platform event publish, plus Slack posts, Stripe invoice creation, SMS sends, email sends, document generation, and Strkr AI prompts. Every workflow carries durable state so a pause survives restarts and outages. Every step retries on transient failure with exponential backoff. The audit log captures every step with trigger, actor, timestamp, and record state before and after. The engine replaces the Zapier or Workato or Mulesoft middleware tier for most cross-tool workflows at a fraction of the enterprise middleware cost.
How does the pricing compare to the Salesforce plus BI plus roadmap plus middleware stack?
Strkr pricing covers the Salesforce bidirectional connector, Strkr AI insights with no credit meter, the native roadmap surface, the workflow engine, and the full connector library on one bill. Teams running Salesforce Enterprise at $165 per seat plus a BI tool at $75 per Tableau Creator or similar plus a roadmap tool at $30 per seat plus a middleware tier at $29 per month for team or $500+ for enterprise typically see the total per revenue-ops seat per month drop by 40 to 60 percent after the migration. The exact savings depend on the BI, roadmap, and middleware tiers in use. The pricing page publishes the Strkr tier matrix so procurement reads the real number rather than a sales-conversation estimate. HIPAA-compliant deployments with a signed Business Associate Agreement are available for qualified healthcare customers.
Does Strkr require migrating off Salesforce or can we keep it as the system of record?
No migration required. The Salesforce bidirectional sync means Salesforce stays as the system of record while Strkr runs the insights layer, the roadmap surface, and the workflow engine on top. The sync configures through OAuth with a tenant-level credential and the admin maps objects and fields in a configuration screen rather than a code project. Conflict resolution rules handle the cases where both systems write to the same field (last-write-wins by default, with configurable precedence per object). For teams that eventually decide to move off Salesforce entirely, the Strkr native CRM runs on the same record store with no sync required and the migration path preserves history, activity timeline, owner assignments, and custom object data. Teams typically start on the sync model and decide on the migration decision after the first renewal cycle based on the real usage pattern.
