Switching CRMs is not a weekend project, but it does not have to be the quarter-long nightmare the vendor war stories suggest. This guide walks a sales or revenue operations lead through the full HubSpot to Strkr migration: scoping what moves, mapping fields, cleaning duplicates, running the cutover, and locking in adoption so the second month looks healthier than the last month on HubSpot. The playbook assumes a typical B2B team with contacts, companies, deals, email history, sequences, forms, and lifecycle reporting on HubSpot Sales Hub or Marketing Hub.
Time: 2 to 3 weeks of calendar time, roughly 40 hours of hands-on work
Most migrations fail because teams try to lift and shift the full HubSpot portal instead of the roughly thirty percent of it that is genuinely in use. Spend the first day of the project pulling three reports: active users in the last ninety days, properties written to in the last ninety days, and workflows that have fired in the last thirty. Everything outside those three lists is a candidate for retirement, not migration. Walk the surviving list with the sales leader and ask one question for each item: if this disappeared tomorrow, would anyone notice. Items that fail that test stay in HubSpot. Items that pass become your migration scope. Document the final scope in a shared sheet with columns for object type, HubSpot name, Strkr target, owner, and status. That sheet is your single source of truth for the next three weeks.
Open Strkr and design the destination model first. Build the pipelines, stages, exit criteria, custom fields, roles, and territories you want to run on day one, not the ones you have inherited from HubSpot. This is the single highest-leverage moment in the project. If you lift HubSpot stages verbatim you will carry forward every piece of technical debt the old system accumulated. Instead, use the migration as a forcing function to retire dead stages, rename seller-activity stages into buyer-commitment stages, and consolidate overlapping pipelines. Build the custom field set the same way: ruthlessly short, picklists wherever a finite set of answers exists, required fields only where a downstream report or routing rule needs them. Document the target model in the same sheet that holds your HubSpot inventory. The two columns side by side are your mapping blueprint.
HubSpot stores objects in a strict hierarchy and the import order has to match or you will spend days re-linking records. Export in this sequence: companies first, then contacts, then deals, then engagements, then notes, then line items. Use the native CSV export for small portals and the HubSpot API with a paginated pull for anything over fifty thousand records on any object. For engagements specifically, the API is the only reliable path because the CSV export truncates email bodies and loses call metadata. Pull all historical associations into their own files, because associations are what let you reconnect a deal to its company and primary contact after import. Save every export file to a dedicated migration folder with a timestamp in the filename. You will likely export twice: once for a dress-rehearsal import into a Strkr sandbox, and once again on cutover day for the final production load.
The export is where your bad data becomes visible, and import day is the worst possible time to discover it. Open each file and run a basic hygiene pass: trim whitespace on names and emails, lowercase email domains, standardize phone numbers to E.164 format, resolve picklist values that drifted into free text, and merge duplicate companies by domain. Dedupe contacts by email first, then by first-last-plus-company for records with no email. Flag any record missing an owner and assign it to a holding user in Strkr rather than importing orphans. If HubSpot stored lifecycle stage as a property, map it to Strkr lifecycle values now, in the file, not after import. The guiding principle is simple: whatever garbage lands in Strkr on day one will still be there six months later, so pay the cleanup tax in the staging file, not in production.
Never import directly into production on the first attempt. Load the cleaned files into a Strkr sandbox workspace and have two or three frontline reps spend an hour working deals in it. Ask them three questions: can you find your deals, do the fields hold the values you expect, and do the stages feel right. Watch where they get stuck. If a rep cannot locate their top five accounts within ten minutes, your import ordering or ownership mapping is wrong. If a deal shows the wrong close date or amount, your field mapping has a bug. If a rep says the pipeline feels unfamiliar even though the data is right, that is a training signal, not a data signal, and you address it in step seven. Capture every issue in a shared defect log and fix each one in the staging file before touching production. The dry run is the single best insurance policy you can buy on this project.
Data without automation is just a spreadsheet. Before cutover day you need to recreate the HubSpot workflows, sequences, and dashboards that your team actually relies on. Prioritize ruthlessly: the top five workflows and top three dashboards typically cover eighty percent of real usage. Rebuild those in Strkr first and test each one in the sandbox. For sequences, decide whether you are moving the content and the enrolled contacts, or just the content and starting fresh enrollments after cutover. Starting fresh is almost always the better choice because sequence state in HubSpot does not map one-to-one to Strkr and partial-state migrations create confusing rep experiences. For reporting, confirm that each dashboard tile answers the same question with the same math it answered on HubSpot, or document the delta so leadership knows what changed. Strkr AI can draft the first version of common sales dashboards from your pipeline shape; use it to compress the manual rebuild work.
Cutover is a two to four hour window on a Friday afternoon or Saturday morning. During that window, nobody writes to HubSpot and nobody writes to Strkr. Announce the freeze in writing twice: one week out and twenty-four hours out. Appoint a single incident commander, usually the revenue operations lead running the project, who has authority to roll back if the import fails validation. Pull the final HubSpot export, run the cleaned staging files through the import, verify record counts match export counts within a one-percent tolerance, spot-check twenty random deals end to end, and only then open Strkr to reps. Keep HubSpot read-only for thirty days as a safety net. Do not disconnect integrations until Monday; let the first business day confirm Strkr is stable before you cut the inbound and outbound webhooks over. If any part of the import fails validation, roll back inside the window and reschedule. A failed cutover you unwind cleanly costs a week. A failed cutover you push through costs a quarter.
Integrations are where cutover sins show up loudest, so sequence them carefully. Reconnect in this order: website forms first, because every hour they point at the old CRM is a lost lead; then your Strkr Messaging texting workflows so reps can resume outbound; then calendar and meeting booking; then call recording and conversation intelligence; then enrichment; and finally the long tail of niche tools. Test each one with a live record before moving to the next. For website forms specifically, do not use a middle-ground service as a bridge: Strkr ships native form endpoints and native webhooks, and every integration in Strkr is first-class software, so skip anything that proposes to glue tools together with a middleware tier. For email send authentication, confirm your sending domain is verified in Strkr before reactivating any outbound sequence, or you will spend the first week fighting deliverability instead of booking meetings.
The migration is not finished when the data lands. It is finished when reps work out of Strkr by default and nobody logs into HubSpot without a specific reason. Hold a fifteen-minute daily standup for the first two weeks where you review three numbers: deals updated yesterday, activities logged yesterday, and open hygiene flags. Reward reps who log calls, update next steps, and move deals through stages inside Strkr. Address the top three friction points reps surface in week one before the end of week two, because unresolved friction becomes permanent habit. Pull a weekly adoption dashboard and share it with the sales leader. Watch for two warning signs: reps who have not touched Strkr in forty-eight hours, and reps whose deals have not progressed since cutover. Both are coachable, but only if you catch them in week two instead of week eight. By day thirty, the health of the system should be visibly better than the day you left HubSpot. If it is not, your adoption plan needs more teeth, not more training.
For a typical B2B team with up to twenty-five reps, two to three weeks of calendar time and about forty hours of hands-on work is realistic. Larger portals with heavy marketing automation, custom-coded workflows, and multi-portal structures can run six to eight weeks. The biggest variable is data hygiene, not import tooling. Teams that spend a week cleaning the export file finish faster than teams that try to clean inside the destination CRM.
Migrate email headers, subjects, and timestamps so reps have conversation history on each contact. Full email bodies are optional and often not worth the storage cost. Call recordings almost never need to migrate: they live in your call recorder of record, which you reconnect to Strkr during integration cutover. Prioritize what reps actually scroll back to find, which is usually the last three to five touches, not the full three-year archive.
Marketing workflows that score, route, and nurture leads should be rebuilt as Strkr automations before cutover. Lifecycle stage is a HubSpot concept; in Strkr it maps to a status field on contact or lead, and you decide the stage definitions during the target-model design in step two. Teams running HubSpot Marketing Hub as a standalone nurture engine often keep it in read-only mode for ninety days while they rebuild sequences and attribution in Strkr.
Only for inbound discovery, never for rep writes. A parallel-write period creates diverging records in both systems and reps immediately mistrust the data. The cleanest pattern is HubSpot read-only during the first thirty days post-cutover: reps can still look up historical context, but every new write lands in Strkr. After thirty days, HubSpot moves to archive-only or is sunset entirely depending on your retention policy.
List every webhook and API call the HubSpot workflows make, then rebuild each one as a Strkr automation with the same payload shape. Strkr ships first-class webhooks and native API connectors, so there is no need to insert a middleware tier. For custom-coded workflow actions, port the logic directly into a Strkr automation step. Test each rebuilt call against the receiving system before cutover, because broken webhooks are the single most common post-migration incident.
Replace HubSpot form embeds with Strkr form endpoints as part of the Monday integration pass. Strkr forms post directly into the CRM with full field mapping and server-side validation, which eliminates one webhook hop and reduces lead latency. If a page uses a custom-coded form that posted to the HubSpot API, swap the endpoint URL and field names during the same deploy. Verify an end-to-end lead creation flow before marking the integration migrated.
Aggregate open and click counts per contact can migrate as custom-field snapshots at cutover. Individual open and click events almost never migrate cleanly, because the schemas differ and the cost of preserving event-level history is high relative to the usage. Capture the snapshot at cutover, then let fresh event history accumulate in Strkr from day one. By day sixty you will have a complete record of post-migration engagement, which is what reps actually use when prioritizing outreach.
Three weeks before cutover for the first full-team briefing, one week before for the final rehearsal, and twenty-four hours before for the write-freeze reminder. Earlier than three weeks and reps forget. Later than one week and they feel ambushed. Pair each announcement with the exact scope of what changes, what stays the same, and where to go for help. The adoption dashboard in step nine should ship on day one, not day fifteen, so reps know from the start that their activity is visible.
Strkr gives you the pipeline logic, native integrations, and clean import tooling to run this playbook end to end. First-class webhooks, first-class forms, Strkr AI for dashboard rebuild, and a sandbox for every dry run.
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