How different is Strkr really from the 2020-era CRM I am used to?
The core concept (contacts, companies, deals, activities, pipelines) is the same, which means the migration muscle memory from a HubSpot or Salesforce admin applies. The difference is what sits around those objects: an AI layer that runs across the whole surface rather than as an add-on, native messaging and call recording, native projects, native flows with model routing, and flat per-seat pricing. The practical result: a user who was proficient on HubSpot in 2020 reaches daily-driver proficiency on Strkr in 2 to 5 days. The admin surface is more consolidated because fewer SKUs means fewer places to configure.
What is the actual migration process from HubSpot or Salesforce?
The migration path has three phases. Phase 1 (week 1): data audit, custom-field mapping, pipeline-stage mapping, user and role mapping. Phase 2 (weeks 2-4): data load via REST API or Strkr's native HubSpot/Salesforce migrator, which maps standard objects automatically and surfaces custom-field decisions for review. Phase 3 (weeks 4-6): workflow rebuild, dashboard rebuild, user training, parallel-run week. Most mid-market teams complete in 4 to 8 weeks. The common failure mode on migrations we see is skipping phase 1 and discovering mid-week that 300 custom fields need decisions, which is why the Strkr migration team runs phase 1 as a mandatory kickoff.
What do I do with my existing contracts? HubSpot renewal is in six months.
The common pattern we see: migrate during the back half of the current contract, run parallel for the final month, and let the incumbent contract lapse at renewal. For teams with 12-plus months left, the ROI math usually still works because the capability gaps covered by Strkr (AI SKU, Marketing Hub, call recording) often exceed the sunk-cost on the incumbent. We walk through the specific TCO math on a scoping call and the recommendation is based on the actual contract terms, not a blanket "break the contract" push. For some teams the right advice is to wait 4 to 6 months and migrate at renewal; for others the ROI is strong enough to migrate immediately.
Does Strkr support SOC 2 Type II and GDPR requirements that got stricter after 2020?
Yes. SOC 2 Type II is current, the audit report is available under NDA on request, and the control set is reviewed annually. GDPR Article 32 (security of processing) controls include encryption in transit and at rest, access logging per user, data residency options (EU hosting on request), and a documented data processing addendum. HIPAA is available on specific plan tiers for healthcare customers. CCPA, VCDPA, and other state-level privacy frameworks are covered under the baseline GDPR control set because the US state frameworks largely subset GDPR.
Is this another "we have AI" story, or is the AI actually load-bearing?
The AI surface is load-bearing on four specific workflows. First, the Monday morning pipeline summary auto-drafts for every AE and manager, which saves 60 to 90 minutes a week per user. Second, the forecast call runs with AI-flagged risk per deal, which changes the question the manager asks the rep. Third, inbound reply classification auto-triages 70 to 85 percent of replies, which saves the SDR 60 to 90 minutes a day. Fourth, call recording generates a summary and action-items per call, which eliminates the "did we agree to send the proposal by Friday" conversation. The AI is not a demo surface; it changes 3 to 5 hours of weekly work per user.
What happens if we have 20 Salesforce custom objects we need to preserve?
Strkr's custom objects module supports arbitrary user-defined object types with custom fields, relationships to standard objects, and inclusion in workflow and reporting. The Salesforce migration tooling maps standard custom objects (Opportunity Line Items, Accounts, Contacts, Opportunities, Products, Price Books) and surfaces non-standard custom objects for manual mapping. Teams with 20-plus custom objects typically see 80 to 90 percent clean mapping and the remaining 10 to 20 percent requires a design conversation with the Strkr migration team to decide whether to preserve one-for-one or redesign for the current workflow needs. The redesign conversation is often the most valuable part of the migration because it surfaces the technical debt the Salesforce admin had been living with.
