Built for Salesforce buyers considering the alternative

If you are on Salesforce and the fifth AppExchange renewal plus the certified admin cost is making the "it just works" promise look expensive, this page is for you.

Salesforce is the deepest CRM platform in the market and the usual answer for enterprise rollouts over 500 seats. The pain shows up at mid-market scale (20 to 300 seats) where the admin burden, the AppExchange tax, and the Enterprise-tier plus Einstein credits all stack higher than the business value. Strkr is the comparison most mid-market Salesforce teams are running.

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What this audience is actually dealing with

The pains that bring buyers here.

Salesforce teams tend to arrive at the alternative-evaluation path for a specific set of reasons that compound over 2 to 5 years of operation. The six pains below are the ones that show up repeatedly on Salesforce-to-Strkr evaluation calls, and the pattern is consistent across industries at the 20 to 300 seat mid-market tier.

Admin certification is a full-time role

The Salesforce admin is the most important hire RevOps did not plan for.

A 40-seat Salesforce install past year two typically needs a dedicated certified admin, which is a fully-loaded 110,000 to 160,000 per year hire. Smaller teams run a part-time admin at an SI or partner at 180 to 260 per hour, which commonly adds up to 60,000 to 120,000 per year by year three. The admin cost is the single largest line item buyers underestimate at purchase. Strkr's admin surface targets a RevOps generalist, which lets the business run the install without the certified-admin hire.

AppExchange tax compounds

Five managed packages at 15 to 60 per user each.

Salesforce by itself covers roughly 70 percent of what a modern revenue team needs. The remaining 30 percent fills with AppExchange managed packages: a cadence tool, an enablement tool, a routing tool, a signature tool, a data enrichment tool, each at 15 to 60 per user per month. A 40-rep team commonly runs 4 to 6 managed packages, which adds another 25,000 to 100,000 per year on top of the Salesforce licenses. Strkr ships the common capabilities natively.

Einstein credits and AI pricing

Agentforce priced per Flex credit at roughly 10 cents per conversation unit.

Salesforce's AI story (Einstein, Einstein GPT, Agentforce) prices per Flex credit at roughly 10 cents per conversation unit. A 40-rep team running weekly pipeline reviews, call summaries, email drafts, and natural-language queries burns 10,000 to 30,000 Flex credits per month, which is 12,000 to 36,000 per year on top of the base. Strkr AI runs on the flat per-seat tier with no per-conversation meter below the plan cap, which only works because of the three-tier model router keeping unit costs flat.

Sales Cloud Enterprise plus the add-ons

The headline tier does not include what the team needs.

Sales Cloud Professional starts at 80 per seat per month. The features a real revenue team uses (forecasting beyond the basic rollup, territory management, process builder, Einstein for the AI story, advanced reporting) require Enterprise at 165 per seat plus add-ons. A 40-rep team at Enterprise plus the common add-ons (Service Cloud for support, CRM Analytics for reporting depth, Sales Enablement, Agentforce for AI) commonly lands at 220 to 350 per seat per month all-in. Strkr's flat per-seat posture at the Enterprise feature parity lands roughly 40 to 60 percent lower.

Change set deploy is a workflow with gotchas

The Friday afternoon deploy drops a Flow dependency.

Salesforce change sets ship with a known set of dependency gotchas: a Flow referencing a renamed custom field, a permission set assuming a page layout, a Lightning record page depending on an app installation. The deploy fails on Friday afternoon and the Monday rollout slips. Strkr's change-set deploy carries dependency validation up front so the sandbox-to-production push either lands cleanly or fails loud at the sandbox check-in, not at production.

Mobile app the field team quietly stopped opening

Salesforce Mobile Lightning works and the field reps use it 30 percent of the time.

The Salesforce Mobile Lightning app is capable and gets reliability complaints at the field-team level around slow loading, offline sync inconsistency, and screens optimized for desktop-first interaction. A 40-rep field team past year two typically reports the "I filed my notes Thursday from the hotel laptop" pattern because the mobile is not tuned for the parking-lot-after-the-meeting use case. Strkr's mobile ships with voice capture, offline queue, and LTE-first rendering targeting that specific use case.

What a Salesforce-to-Strkr migration actually covers

The specific phases, duration, and gotchas.

Salesforce-to-Strkr migrations run 10 to 14 weeks for a 30 to 150 seat team. The cards below are the phases, typical duration, and the specific issues that come up at each stage.

Phase 1: data audit

Weeks 1 to 2. What is in Salesforce.

A fresh audit of the Salesforce org: record counts across standard and custom objects, custom field inventory, workflow and Process Builder and Flow inventory, Apex trigger and class inventory, Lightning page inventory, permission sets and sharing rules, AppExchange managed packages, saved reports and dashboards, scheduled distributions. Teams usually discover 3 to 6x the custom objects anyone remembers and roughly 40 to 55 percent of workflows are inactive or orphaned.

Phase 2: design mapping

Weeks 2 to 4. Salesforce objects to Strkr objects.

Design how Salesforce objects map to Strkr. Standard objects (Account, Contact, Opportunity, Lead, Case) map directly. Custom objects map to Strkr custom objects with the field types translated. Workflows and Process Builder flows map to Strkr Flows. Apex triggers get case-by-case review: typically 60 to 80 percent rebuild cleanly as Strkr Flows with the condition editor, 15 to 30 percent need HTTP action nodes for external calls, 5 to 10 percent need a different pattern.

Phase 3: data move

Weeks 3 to 6. Bulk API export, cleanse, import.

Export via the Salesforce Bulk API 2.0 covers active records. Historical records export via a scheduled batch job. Cleanse-in-flight filters inactive-over-24-months contacts to an archive bucket, deduplicates against existing records, and applies freshness rules to custom fields. The multi-year Salesforce database typically compresses to 60 to 75 percent of the record count after cleansing.

Phase 4: automation rebuild

Weeks 4 to 8. Workflows, Process Builders, Flows, Apex to Strkr Flows.

Workflows and Process Builders rebuild in Strkr's Flow canvas directly. The visual-flow translations are usually clean. Record-triggered Flows rebuild with the same trigger semantics. Scheduled Flows rebuild as Strkr scheduled Flows. Apex triggers get case-by-case review with the Strkr implementation team walking each one. For teams with heavy Apex customization this phase is where the migration timeline is tested; teams with mostly declarative automation (Flow and Process Builder) migrate faster.

Phase 5: integrations rebuild

Weeks 5 to 9. AppExchange packages to Strkr natives.

Rebuild integrations with Strkr's native connectors. The common AppExchange packages (Outreach, Salesloft, DocuSign, PandaDoc, ZoomInfo, Apollo, Clearbit, Gong, Chorus, Clari, Slack, Jira, Marketo, Pardot, HubSpot for marketing) map to Strkr native connectors directly. Specialty managed packages require case-by-case review: some rebuild as Strkr Flows plus HTTP action nodes, some stay as managed packages on Salesforce until the next renewal and sync to Strkr during the transition period.

Phase 6: pilot and cutover

Weeks 9 to 12. Pilot team, waves, decommission.

Pilot with 15 to 25 seats for 3 weeks. Measure adoption against defined thresholds (login rate, deal activity creation, mobile usage, forecast update frequency). Iterate. Full-team rollout in waves of 25 to 50 seats. Salesforce stays as the active system until the final wave hits adoption thresholds. Decommission happens when the exec sponsor signs off that the forecast ran correctly in Strkr for 3 consecutive weeks and the forecast delta against Salesforce stayed within 2 percent.

What Salesforce users gain on Strkr

The product-level differences.

The common thread across Salesforce-to-Strkr migrations: teams want to keep the forecast depth, custom-object flexibility, and permission model rigor they had on Salesforce, while shedding the admin cost, the AppExchange tax, the Einstein credit math, and the mobile adoption gap. The cards below are the specific gains.

Admin surface for the RevOps generalist

No certified admin hire required.

The Strkr admin surface targets a RevOps generalist. Custom field creation, custom object creation, picklist editing, validation rules, Flow authoring, role matrix, SSO configuration, API credentials. Inline documentation on every surface with the decision rationale encoded next to the config. A 40-seat team typically runs the install with the RevOps lead plus occasional partner engagement for complex rebuilds, versus a certified admin at 110,000 to 160,000 per year.

Native capability instead of AppExchange packages

Cadences, enablement, routing, signature, enrichment included.

Strkr ships cadences (replacing Outreach or Salesloft), enablement content attachment (replacing Highspot or Seismic for mid-market scale), routing with SLA (replacing LeanData), signature workflow (via native DocuSign and PandaDoc integration), and firmographic enrichment (via native ZoomInfo, Apollo, Clearbit connectors) on the base tier. The AppExchange tax that stacked 25,000 to 100,000 per year collapses.

Strkr AI across the workflow on the flat tier

Draft, summarize, call summary, forecast, ask, enrich.

Pipeline review drafts, email reply drafts with deal context, call summaries with next-step extraction, forecast narratives, natural-language ask over the pipeline, lead enrichment on write, account health narratives. The AI runs on the plan cap with no per-conversation meter below the cap. The three-tier model router (WASM, Haiku, Sonnet/Opus) keeps the economics flat where Salesforce's Flex-credit math would double the invoice.

Forecast methodology encoded natively

Commit, best, upside, pacing, risk-adjusted.

Stage-to-forecast mapping is admin-configurable. Pacing against quarter-to-date renders in red when the rep is behind the day count. Risk adjustment factors apply per stage. Multi-year deals book proportionally across periods. The methodology that Collaborative Forecasting approximates and the RevOps lead supplements with a Google Sheet lives in the CRM.

Permission model with claims

Row-level security without profile and sharing-rule complexity.

Strkr's permission model is claims-based with row-level security on every object. The common Salesforce patterns (profiles, permission sets, sharing rules, criteria-based sharing, apex sharing) consolidate to a simpler claim-plus-rule model that is easier to reason about and audit. The structured permission model handles the enterprise-grade access patterns without the Salesforce admin certification overhead.

Change-set deploy with dependency validation

The Friday deploy either lands or fails loud at check-in.

Strkr's change set deploy carries dependency validation up front. The dependency check runs at sandbox check-in time and either flags missing dependencies or confirms the deploy is ready. The Friday afternoon production push either lands cleanly or does not happen. The "we discovered the dependency gap at the deploy itself" pattern that costs Salesforce teams Monday morning on-call rotations stops happening.

Scoped partner access with audit

Time-limited consultant credentials with auto-revocation.

Partner users carry an engagement end date with auto-revocation on expiration. Every partner action in the client tenant logs to the audit with the partner user ID, timestamp, affected record, and change details. The Salesforce pattern of long-lived partner users with manual revocation becomes a time-boxed partnership with built-in audit.

Mobile with voice capture and offline queue

The field team actually uses it.

The mobile app targets the "20 seconds in the parking lot after the meeting" use case. Voice capture dictates the note. Offline queue stores updates when the signal drops and replays on reconnection. Screens render fast on LTE. Field-team adoption at week 4 post-cutover averages over 85 percent on teams moving from Salesforce Mobile Lightning, versus 30 to 50 percent on the baseline.

All-in cost at year 2

Flat per-seat with the add-ons included.

A 40-rep team on Sales Cloud Enterprise plus the common add-ons (CRM Analytics, Agentforce credits, Highspot or Seismic, Outreach or Salesloft, LeanData, ZoomInfo) commonly runs 350,000 to 600,000 per year all-in plus 80,000 to 180,000 in admin. The same team on Strkr with everything included typically lands at 95,000 to 180,000 per year all-in with the RevOps generalist running admin without a certified admin seat.

What Salesforce still does better

The honest list where you stay on Salesforce.

Salesforce is the right choice for specific scopes. The cards below are the honest list where teams should stay on Salesforce rather than migrate to Strkr.

Over 500 seats with heavy platform customization

Enterprise rollouts with 10-plus custom objects per business unit.

For enterprise rollouts past 500 seats with multiple business units, 10-plus custom objects per business unit, Service Cloud for support, Industries Cloud editions (Financial Services Cloud, Health Cloud, Manufacturing Cloud, Energy Cloud, Consumer Goods Cloud), and heavy global territory management, Salesforce is still the right choice. Strkr's sweet spot is 20 to 500 seats; above 500 seats the enterprise-platform conversation changes and Salesforce's depth pays back.

AppExchange ecosystem dependency

If your business runs on 15-plus managed packages.

If your business runs on 15-plus Salesforce managed packages with deep configuration in each (industry-specific ISVs, specialty vertical applications, legacy packages from the AppExchange with no modern equivalent), the migration cost may exceed the switching benefit. Strkr covers roughly 85 percent of common AppExchange use cases natively; the remaining 15 percent requires case-by-case evaluation. Teams with deep ecosystem dependency often stay on Salesforce for that reason.

Field Service with routing optimization

Salesforce Field Service covers depot plus route optimization.

For field service motions with depot management, route optimization, service appointment scheduling, parts inventory, and crew allocation, Salesforce Field Service ships a specialized surface that Strkr does not match. Teams running heavy field service with 50-plus service techs typically stay on Field Service and integrate with Strkr for the pre-sales CRM side if they migrate that piece.

Manufacturing Cloud and Energy Cloud specifics

Vertical cloud editions with industry-specific objects.

Salesforce's Industries Cloud editions (Manufacturing Cloud, Energy Cloud, Automotive Cloud, Consumer Goods Cloud, Media Cloud, Nonprofit Cloud) ship industry-specific objects, workflows, and templates. For teams running on an Industries Cloud edition with deep configuration against those vertical objects, the migration cost to a horizontal platform like Strkr is high. Strkr covers general B2B motions and services motions; the vertical cloud editions are a specialty that Salesforce retained a lead on.

Multi-currency with complex revenue recognition

Multi-entity revenue reporting at the Fortune 500 scale.

For Fortune 500 scale multi-entity revenue reporting with multiple currencies, deferred revenue schedules, multi-year contract revenue recognition against ASC 606 (and the equivalent IFRS 15), and consolidation reporting across business units, Salesforce's revenue cloud combined with CRM Analytics is the right stack. Strkr handles multi-currency and basic multi-year revenue recognition; the specialized Revenue Cloud workflows are a different scope.

Deep platform-as-a-service build

If you are building apps on Lightning Platform.

If your business is building custom applications on top of Lightning Platform (as an ISV or as an internal platform play), Lightning Platform remains the development environment. Strkr is a CRM product, not a platform-as-a-service. Teams with that build model stay on Salesforce because the platform tooling (Apex, LWC, SOQL, metadata API, DevOps Center) is the development surface they rely on.

Head-to-head

Strkr vs Salesforce for a 20 to 300 seat revenue team.

Here is the honest head-to-head for a mid-market revenue team evaluating the switch. The comparison runs across pricing, admin cost, AI, forecast, cadences, mobile, and the all-in year-2 math.

Feature Strkr Salesforce (Sales Cloud Enterprise with typical add-ons)
Base per-seat price Flat per seat covers full feature set Enterprise at 165/seat plus add-ons
AI pricing Included on paid tier, no credit meter below plan cap Agentforce Flex credits at roughly 10 cents per conversation unit
Admin requirement for ongoing operation RevOps generalist with inline docs Certified admin hire or partner retainer typical
Cadence tool Native (email + SMS + LinkedIn + in-app) Outreach or Salesloft managed package (25 to 60/user)
Enablement content attachment Native library on deal view Highspot or Seismic managed package
Routing with SLA Native with named-account and territory LeanData managed package
Firmographic enrichment Native ZoomInfo + Apollo + Clearbit connectors ZoomInfo managed package
Forecast methodology Commit/best/upside/pacing/risk-adjusted native Collaborative Forecasting plus Google Sheet typical
Mobile with voice + offline queue LTE-first for field reps Mobile Lightning; field adoption varies
All-in year-2 cost (40-rep team) Roughly 95,000 to 180,000 Roughly 350,000 to 600,000 plus admin cost
How teams use Strkr

How teams moved from Salesforce to Strkr.

The common thread across teams that moved: they wanted the Salesforce feature parity without the admin cost, AppExchange tax, and Einstein credit math. The playbooks below are motions live on customer accounts.

B2B SaaS, 65-rep team

Switched from Salesforce after the Agentforce renewal doubled the AI line.

A 65-rep B2B SaaS team ran Salesforce Sales Cloud Enterprise plus Agentforce for AI drafting, Outreach for cadences, Gong for call analysis, ZoomInfo for enrichment, Highspot for enablement. The Q4 renewal cycle brought an Agentforce Flex credit allocation that would roughly double the AI line based on actual Q1-Q3 usage patterns. The team evaluated Strkr primarily on the AI pricing posture. Migration ran 12 weeks. Post-cutover the team retained Gong (connected via native integration) and consolidated cadences, enrichment, and enablement onto Strkr. Annual tooling spend dropped from 480,000 to roughly 165,000 all-in. The Agentforce migration cost was recovered in the first 5 months.

Mid-market services firm, 85-rep team

Switched from Salesforce after the certified admin left and the hire took 7 months.

An 85-rep mid-market services firm ran Salesforce with a dedicated certified admin. The admin left in April. The replacement hire took 7 months to onboard, during which the admin queue backed up with 180-plus pending change requests. The firm evaluated Strkr for the admin surface specifically. The RevOps lead (previously a sales ops analyst) ran the Strkr admin surface directly from day one of the pilot. Migration ran 13 weeks with the pilot team at week 4. The certified-admin role was eliminated post-cutover and the RevOps lead took on the full admin workload at the existing comp level. The firm saved roughly 140,000 per year on the eliminated role plus the 60,000 the stop-gap partner cost during the 7-month hiring window.

B2B hardware OEM, 120 reps

Switched after 2 years of Collaborative Forecasting plus Google Sheet forecast disputes.

A 120-rep B2B hardware OEM ran Salesforce Collaborative Forecasting for the executive rollup and a Google Sheet for the real forecast methodology (commit, best, upside, risk-adjusted, multi-year ramp handling). The weekly exec meeting commonly spent 20 to 30 minutes reconciling the two numbers. The team moved the forecast to Strkr's native capability with the methodology encoded in admin. The Collaborative Forecasting and Google Sheet collapsed to one view. The weekly reconciliation ritual stopped. The team migrated the broader install over the following 6 months.

Insurance brokerage, 48 producers

Switched for the compliance audit depth plus the AppExchange tax reduction.

A 48-producer insurance brokerage ran Salesforce Financial Services Cloud with 5 AppExchange packages (compliance recording, document assembly, email tracking, data enrichment, outreach cadences). The AppExchange tax plus the Financial Services Cloud edition cost totaled 290,000 per year. The brokerage evaluated Strkr for the compliance audit depth (every AI call, every message, every record view logged for compliance review) and the AppExchange tax reduction. Migration ran 14 weeks because the Apex customizations in the Financial Services Cloud rebuild took case-by-case Flow authoring. Post-cutover annual spend dropped to roughly 110,000 all-in, and the compliance officer reported a cleaner audit experience on Strkr's log structure.

Technology distributor, 40 reps

Switched after the Service Cloud for support plus Sales Cloud combo blew past the budget.

A technology distributor had been on Sales Cloud for 3 years and added Service Cloud for the support team in year 2. The combined license cost plus admin plus AppExchange packages ran 310,000 per year for a 40-rep sales team plus 15-seat support team. The CFO pushed for an alternative evaluation. Strkr covered sales (CRM, pipeline, forecast, cadences, enablement, AI) plus support (ticketing, knowledge base, SLA tracking, customer satisfaction surveys) on one tenant with the same per-seat line. Migration ran 11 weeks. Post-cutover the all-in spend landed at roughly 95,000 per year, and the sales-to-support handoff improved because the two teams work on the same account record.

The Salesforce alternative without the AppExchange tax or the certified admin hire.

Start a 14-day Strkr trial with cadences, enablement, routing, enrichment, forecast methodology, AI across the workflow, and the mobile with voice capture all on the flat per-seat line. See the all-in year-2 math against your current Salesforce contract.

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Common questions

What buyers in this bucket ask most.

How does Strkr compare to Salesforce for a 50-rep mid-market team specifically?

Four structural differences at the mid-market scale. First, pricing is flat per seat with features the same across tiers, where Salesforce Sales Cloud Enterprise at 165 per seat plus the common add-ons (CRM Analytics, Agentforce, Outreach, Highspot, LeanData, ZoomInfo) stacks to 350 to 500 per seat all-in. Second, Strkr AI runs on the three-tier model router (WASM, Haiku, Sonnet/Opus) on the flat tier with no per-conversation credit meter below the plan cap, where Agentforce prices per Flex credit at roughly 10 cents per conversation unit. Third, Strkr's admin surface targets a RevOps generalist, where Salesforce admin at the 50-rep scale typically needs a certified admin hire. Fourth, Strkr ships cadences, enablement, routing, enrichment, and signature workflow as native capabilities, where Salesforce commonly runs 4 to 6 AppExchange managed packages for the same scope. The buyer with deep Salesforce AppExchange dependency or Industries Cloud configuration should stay on Salesforce; the mid-market buyer with standard CRM scope usually finds Strkr the better fit.

How long does a Salesforce-to-Strkr migration take, and what are the biggest risks?

Typical timeline is 10 to 14 weeks for a 30 to 150 seat team. Weeks 1 to 2 are the data audit (what is in Salesforce, how much is active, custom-object inventory). Weeks 2 to 4 are the design phase (Salesforce objects to Strkr objects, Apex to Flow mapping). Weeks 3 to 6 are the data move (export via Bulk API, cleanse, import). Weeks 4 to 8 are the automation rebuild (Workflows, Process Builders, Flows, Apex to Strkr Flows). Weeks 5 to 9 are the integrations rebuild (AppExchange packages to Strkr natives). Weeks 9 to 12 are the pilot and cutover. The biggest risks: heavy Apex customization (slows the automation rebuild phase), 15-plus AppExchange managed packages with no modern equivalent (requires case-by-case evaluation and sometimes staying on Salesforce), Industries Cloud configuration (vertical cloud editions require careful mapping), and change management (reps resistant to leaving a tool they know well). The Strkr implementation team walks each risk during the design phase so the timeline reflects the actual complexity.

Can Strkr handle the custom-object depth and permission complexity of a mature Salesforce install?

For most mid-market Salesforce installs (20 to 300 seats) with 5 to 15 custom objects, 20 to 50 permission sets, and heavy declarative automation (Flow and Process Builder) with some Apex, yes. Strkr's custom object builder covers many-to-many relationships, calculated fields, validation rules, formula fields, and record types. The claims-based permission model handles the common patterns (role-based access, team-based deal visibility, segment-based account access, criteria-based sharing) with less complexity than Salesforce's profiles plus permission sets plus sharing rules stack. For large Salesforce installs past 500 seats with 20-plus custom objects per business unit, Industries Cloud configuration, and heavy Apex customization, the migration complexity rises and the business case for staying on Salesforce typically wins. The decision point is the complexity depth of the current install relative to the mid-market norm.

What happens to our AppExchange managed packages during migration?

The common AppExchange managed packages map to Strkr native capabilities: Outreach and Salesloft cadences become Strkr native cadences, DocuSign and PandaDoc stay as native Strkr integrations, ZoomInfo and Apollo and Clearbit stay as native enrichment connectors, Gong and Chorus and Clari Copilot stay as native call-analysis integrations, LeanData routing becomes Strkr native routing with SLA, Highspot and Seismic content library becomes Strkr's native content library on the deal view, Marketo and Pardot and HubSpot for marketing stay as native connectors. The specialty managed packages that have no Strkr-native equivalent (industry-specific ISV packages, specialty vertical applications, legacy packages) require case-by-case evaluation. Options: rebuild on Strkr via HTTP action nodes and custom Flows, stay on the specialty package with the Strkr-to-package connector, or keep Salesforce for the specific business unit that depends on the specialty package. The implementation team walks each package during the design phase.

What is the all-in year-2 cost comparison for a 50-rep team?

Salesforce 50-rep year-2 math: Sales Cloud Enterprise at 165 per seat per month runs 99,000. Add-ons (CRM Analytics at roughly 125 per seat, Agentforce credits at roughly 50 to 100 per seat per month, Sales Enablement at 75 per seat per month, LeanData routing at 25 per seat per month, Highspot or Seismic at 40 to 80 per seat per month, Outreach at 100 to 160 per seat per month, ZoomInfo at team-based pricing). All-in licensing commonly lands at 350,000 to 500,000 per year. Admin cost (dedicated certified admin at fully-loaded 140,000, or partner retainer at 60,000 to 120,000). Total year-2: roughly 410,000 to 640,000. Strkr 50-rep year-2 math: flat per-seat tier covers CRM, cadences, enablement, routing, enrichment, forecast, AI, admin, mobile all-in at the Strkr rate. Total year-2: roughly 115,000 to 180,000 all-in with the RevOps generalist running admin at the existing team comp level. The ratio is roughly 3x to 4x in favor of Strkr for the mid-market scale. For the specific numbers against your current Salesforce contract, our team walks the comparison on a 15-minute call.

Does Strkr work for Industries Cloud users (Financial Services Cloud, Health Cloud, Manufacturing Cloud)?

Depends on the depth of Industries Cloud configuration. Financial Services Cloud users running the standard household and relationship group models with wealth management plus banking plus insurance workflows can usually migrate with Strkr's custom-object builder modeling the household and relationship structures. The migration is more complex than a vanilla Sales Cloud migration but doable. Health Cloud users running the full EHR integration plus care plan workflows plus HIPAA-compliant document management face more complexity because the Health Cloud objects (Patient, Care Plan, Care Plan Template, Care Request, Clinical Encounter) are deeply tuned to healthcare workflows. For heavy Health Cloud users, staying on Salesforce or evaluating a dedicated healthcare CRM (Veeva) is often the right choice. Manufacturing Cloud users running Sales Agreements, Advanced Account Forecasting, and the full ABM-like workflows typically migrate cleanly to Strkr with the custom-object builder. Automotive Cloud, Consumer Goods Cloud, Media Cloud, and Nonprofit Cloud each have specific object models to walk during design. The implementation team runs the Industries Cloud evaluation during the pilot discovery.

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