The MAP Migration Playbook

Why MAP migrations actually fail

Most marketing-automation migrations don't fail on the export/import. They fail on the operating layer underneath: lifecycle definitions nobody wrote down, scoring logic that lived in one person's head, sync rules that quietly contradicted each other, and a campaign calendar that couldn't tolerate a freeze. The platform move is the easy 20%. The 80% is reconciling the system of record before you touch a single record.

This is the sequence I use to move between Marketo, HubSpot, and Microsoft Dynamics without losing data integrity or stopping the business.

1. Inventory before you scope

You cannot migrate what you cannot see. Before a timeline exists, build a full inventory: programs and campaigns (and which are actually live vs. abandoned), fields and their real population rates, lifecycle stages and the rules that move records between them, scoring models, smart lists feeding routing, integrations and their direction of truth, and every report leadership actually opens. Half of most instances is dead weight — migrating it forward just moves the debt.

2. Decide the data model first

Field mapping is where migrations silently corrupt. For every field, decide: does it migrate, get renamed, get merged, or get dropped? Which system owns it after cutover? What is the canonical format (picklist values, date formats, country normalization)? Identity resolution matters most here — define how a person and an account are matched across systems so you don't create duplicates on day one.

3. Rebuild lifecycle and scoring to parity (not copy-paste)

A migration is the one chance to fix lifecycle and scoring instead of porting the mess. Re-document stage definitions, transition triggers, and suppression rules in plain language, get sales and marketing to agree, then implement. Validate scoring parity by running the old and new models against the same sample and reconciling where they disagree — disagreements are usually undocumented assumptions surfacing.

4. Parallel-run — never freeze the business

The fear that forces bad migrations is "we have to go dark for two weeks." You don't. Stand up the new instance, replicate the highest-value programs, and run them in parallel against a controlled segment while the old system keeps the lights on. Compare outputs (sends, scores, routing, reporting) until the new system earns trust. Only then shift volume.

5. Cutover and validation

Cutover is a checklist, not an event: freeze writes to the old system of record for the migrated objects, run the final delta sync, flip the integrations' direction of truth, and immediately validate a known set of records end to end — does a test lead score, route, and appear in the right report? Keep the old instance read-only for a defined window; do not decommission until reporting reconciles.

6. Post-migration QA and decommission

For the first few weeks, watch the seams: sync error logs, routing exceptions, lifecycle records stuck between stages, and attribution gaps. Document the new system so the next person can reconstruct it without tribal knowledge. Decommission the old platform only after a full reporting cycle confirms parity.

The traps that cost the most

Migrating dead programs and fields "just in case." Letting two systems both think they own the same field. Re-enriching a suppression list and resurrecting people who opted out. Cutting over on a Friday. And treating reporting as an afterthought — if leadership's dashboard breaks, the migration is judged a failure no matter how clean the data is.

Want this run on your own stack? Request a free MAP health audit — a focused review of your Marketo, Salesforce, and 6sense setup with the highest-leverage fixes prioritized.