A marketing platform migration is not a software project. It is a data debt collection.
When a marketing team decides to switch marketing automation platforms, the conversation starts with license fees. According to community threads on Reddit's r/MarketingAutomation, that is rarely where the real cost lives. The real cost lives in the data cleanup nobody budgeted for.
What teams actually report
Practitioners who have lived through a migration describe the same pattern. After more than a decade on a platform like Marketo or a similar tool, the move to another platform is dominated by data cleanup. One long-time user on r/MarketingAutomation warned others not to underestimate the data cleanup the migration will require, no matter which destination platform is chosen.
The pattern repeats across platforms. Teams on r/marketo and r/hubspot describe export maps that do not line up, custom fields with no equivalent in the new system, years of duplicated contacts, and naming conventions that differ per team. None of this appears in the vendor quote.
Why the cleanup dominates
Data debt behaves like financial debt
Every workaround that was acceptable for years becomes a liability on moving day. A field nobody maintained, a duplicate record nobody merged, a workflow that writes to a mysterious custom object. During normal operations, these issues stay invisible. During a migration, each one must be resolved before the new platform can work. This is why the definition holds: a migration is a data debt collection. You are paying back, all at once, every shortcut the team ever took.
Mapping is sketchy work
Community discussions describe data portals and mappings as unreliable. When the mapping between old and new systems is sketchy, derived metrics cannot be carried over directly. The team must validate values against other sources, field by field. This validation is skilled work, it is slow, and it is almost always underestimated in the project plan.
How to plan for the real cost
The teams that migrate successfully do three things differently. They treat data cleanup as its own project phase with its own owner, before any tooling decision is finalized. They run a field-by-field inventory of the old platform, including custom objects and workflows. They keep the two platforms running in parallel long enough to verify that campaigns in the new system reproduce the results of the old one.
Teams that skip these steps end up in the situation marketing operations professionals describe as the most common failure mode: the new platform is live, but nobody trusts its numbers, so people quietly keep working from spreadsheets. The migration is complete on paper and failed in practice.
The short answer
Marketing platform migrations fail on data cleanup, not on software. Budget the cleanup as its own phase, inventory every field and workflow before choosing the new tool, and keep both systems running until the numbers match. If your project plan has no line item for data cleanup, the migration will find one for you, at the worst possible moment.
What this means for your next migration review
Before approving a platform switch, ask the vendor and your own team three questions. Who owns the data cleanup phase, with what time allocation? What percentage of our fields have no direct equivalent in the new system? How long will both platforms run in parallel, and who verifies that reporting matches? According to experienced practitioners in marketing automation communities, honest answers to these three questions predict migration success better than any feature comparison.
Have you lived through a marketing platform migration? Share what surprised you most about the data cleanup in the comments.
Disclosure: this article was drafted with AI assistance and reviewed before publication. Sources: community discussions on Reddit (r/MarketingAutomation, r/marketo, r/hubspot) and practitioner articles on marketing operations.
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