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1
Audit your source CRM data and reports
Before you export anything, inventory what actually exists in your source CRM. Pull record counts for every standard and custom object, list the reports and dashboards sales leadership relies on, and identify which fields are populated versus abandoned. Most migrations fail because teams move everything instead of what matters. Decide what is active, what is archive, and what is dead weight. Capture the ten reports leadership checks weekly so you can rebuild them in Strkr on day one.
- Export record counts for Accounts, Contacts, Leads, Opportunities, Activities, and every custom object
- List all custom fields with fill rate, flagging anything under 20% populated for review
- Snapshot the top 10 reports and dashboards your revenue leaders open each week
- Note every integration currently writing to the source CRM (billing, support, marketing automation)
Tip: If a field is under 20% populated and no report uses it, flag it for archive. Do not migrate dead fields into a fresh CRM.
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2
Define your target data model in Strkr
With the audit in hand, map your source model to Strkr's object model. Strkr has Accounts, Contacts, Leads, Opportunities, Activities, Products, and extensible custom fields. Decide which source entities map one-to-one, which collapse into a single Strkr object, and which become custom fields. Resist the urge to replicate every quirk of your old system. A migration is the one time you get to simplify without permission.
- Draft the target schema: standard objects first, then custom fields grouped by object
- Decide picklist values to standardize (statuses, stages, industry, lead source)
- Set ownership rules: who owns records with no owner, inactive owners, or shared accounts
- Lock the pipeline stages in Strkr before any import, including probability and stage order
Tip: Picklist cleanup pays compounding dividends. Collapsing "Closed - Won" / "closed won" / "Won" into one stage saves hours of forecast rework later.
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3
Build the field mapping document
Create a spreadsheet that maps every source field to its Strkr destination, one row per field. Columns: source object, source field, source type, Strkr object, Strkr field, Strkr type, transformation rule, and notes. This document becomes the single source of truth for everyone touching the migration, including engineers writing transforms and QA validating results. If a stakeholder cannot find their field in the mapping doc, it does not get migrated. Enforce that rule.
- One row per field, no exceptions, including system fields like Created Date and Owner
- Flag type conversions explicitly: text to picklist, number to currency, string date to timestamp
- Document transformation rules for merged, renamed, or split fields
- Have the sales ops lead and a senior rep sign off on the mapping before anything imports
Tip: Keep the mapping doc in a shared sheet with change history on. You will reference it long after cutover for troubleshooting.
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4
Run a dry-run migration in a Strkr sandbox
Never test a migration in production. Spin up a Strkr sandbox tenant, run the full import against it, and let your sales ops team work in that sandbox for several days. The dry run surfaces broken transformations, picklist mismatches, missing owner records, and permission gaps that would otherwise appear during cutover. Treat the dry run like a real launch: load every object, run every integration, open every dashboard, and have a rep try to log a call.
- Load full production volume, not a 100-record sample, so performance issues surface early
- Rerun the import at least twice to confirm it is repeatable and idempotent
- Fire integrations in sandbox mode: billing sync, support linking, marketing enrichment
- Have 2-3 reps complete real workflows end-to-end and log every issue they find
Tip: Budget at least one full week for sandbox soak time. Issues that take 30 seconds to spot in a sandbox take 30 hours to clean up in production.
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5
Validate record counts and spot-check records
After each dry run, reconcile counts and audit samples. Record counts should match within tolerance for every object: Accounts, Contacts, Opportunities, Activities. Then randomly pull 20 records per object and compare field-by-field against the source. Pay extra attention to currency, dates, relationships, and multi-select picklists, which are where most silent corruption hides. Reconciliation is boring and non-negotiable.
- Reconcile counts for every object within a defined tolerance, typically under 1% delta
- Spot-check 20 random records per object against source, including related records
- Verify Opportunity relationships: correct Account, correct Contact roles, correct owner
- Run every top-10 report in Strkr and compare numbers to the same report in the source CRM
Tip: If counts match but a report is off, you have a relationship problem, not a count problem. Chase it before cutover.
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6
Communicate the cutover window
A week before cutover, send the comms you drafted in prerequisites. Reps need to know when the source CRM goes read-only, when Strkr opens, who to call for help, and what deals-in-flight to pause on. Managers need to know how pipeline reports change during the window. Integrated systems need to know which endpoints will swap. Over-communicate. A migration that is technically clean but surprises the sales team is not a successful migration.
- Announce the cutover window at least 7 days in advance to all users and leadership
- Freeze the source CRM to read-only during the window to prevent drift between systems
- Publish a hotline or Slack channel staffed with admins during and after cutover
- Notify every integration owner so webhook URLs, API keys, and SSO claims are swapped on schedule
Tip: Pick a cutover window at the start of a slow period, typically a weekend after month-end close. Avoid quarter-end at all costs.
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7
Run the production migration
Execute the final import using the exact same scripts and mapping that passed the dry run. Do not change anything between dry run and production migration. Load the data in dependency order (Accounts first, then Contacts and Leads, then Opportunities, then Activities), verify each object completes cleanly before loading the next, and keep the source CRM read-only until Strkr is fully loaded and validated. Have your admins, sales ops, and one engineer available throughout the window.
- Load objects in dependency order: Accounts, Contacts/Leads, Opportunities, Activities
- Confirm each object is complete and reconciled before kicking off the next
- Rerun record-count reconciliation immediately after each object loads
- Keep an incident log of every issue encountered and resolution applied
Tip: Script every step. Running production imports from the UI invites typos. Scripted imports are repeatable, auditable, and much easier to debug.
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8
Verify, reconcile, and train the team
With data in Strkr, run the full reconciliation one more time. Compare counts, open the top 10 reports, and have reps log into Strkr and complete real work. Then shift into training mode. Even if Strkr is intuitive, migration is the moment to retrain the team on the new workflow, picklist values, and reports. Schedule a short live training session, record it, publish a cheat sheet in your internal wiki, and keep office hours open for the first two weeks.
- Full reconciliation sign-off from sales ops before announcing cutover complete
- Deliver a 30-minute live training session, recorded and posted for async viewers
- Publish a cheat sheet covering the top 10 workflows reps run daily
- Hold daily office hours for the first week, then weekly for the following month
Tip: Adoption dips in week two when the novelty wears off and old habits resurface. Plan a check-in and refresher training around day 10.
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9
Decommission the source CRM
Keep the source CRM read-only for 60-90 days after cutover as a reference archive. During that window, resolve any gaps, pull historical data as needed, and let integrations fully transition. Once the review window closes with no unresolved issues, downgrade or cancel the source CRM contract, revoke access, and archive a final export of the source data in cold storage. Document what you kept, what you archived, and where it lives.
- Keep source CRM read-only for 60-90 days as the authoritative archive
- Revoke user licenses on the source CRM one wave at a time, starting with power users
- Pull a final full export of the source CRM and store it in encrypted cold storage
- Document the archive location, retention policy, and who owns future lookups
Tip: Do not cancel the source contract on day one. The $5k-$30k you save by canceling early is not worth the $500k risk of needing data you no longer have access to.