What it is
A switching and migration checklist is a step-by-step project plan for moving off your current marketing automation software and onto a new system without losing data, taking unplanned downtime, or stalling user adoption. This free marketing automation software migration checklist is built specifically for marketing automation buyers: it walks you through auditing what you have today, exporting and mapping your data, importing and validating it in the new tool, running both systems in parallel for a safe period, cutting over, and finally decommissioning the old platform. It exists because switching software is rarely "flip a switch" — it is a small project, and projects without a written plan tend to slip, leak data, and frustrate the people who depend on the tool.
Most migrations do not fail at the technical step of moving records — they fail because nobody planned for the messy parts. Data gets lost or silently corrupted when fields do not map cleanly between the old and new marketing automation software. Downtime hits when the team cuts over on a busy day with no fallback. Adoption collapses when users are dropped into an unfamiliar system with no training and quietly keep working in the old one. And budgets blow up when the old contract and the new one overlap longer than expected. A good marketing automation software switching checklist turns each of those risks into an explicit, checkable item — so the migration is a controlled, reversible sequence rather than a leap of faith on go-live day.
What it's used for
Teams reach for a marketing automation software migration checklist the moment a switch becomes real — a renewal is looming, the current tool no longer fits, or a new vendor has been selected (often after comparing options such as ActiveCampaign and Google Tag Manager). The checklist turns "we're moving to a new marketing automation software" into a sequenced, de-risked project. In practice, buyers use it to:
- ✓ Plan the switch end to end — lay out every phase from initial audit to decommissioning the old marketing automation software, with owners and target dates, so the project has a shape instead of drifting.
- ✓ Scope the data migration — inventory what lives in the current system (records, history, attachments, settings, integrations) and decide what migrates, what gets archived, and what gets left behind.
- ✓ Map fields between old and new — match every field in your current marketing automation software to its equivalent in the new tool, and flag the mismatches that need transformation or cleanup before import.
- ✓ Run old and new in parallel — keep the legacy marketing automation software live and authoritative while you validate the new one, so you can compare outputs and catch discrepancies before anyone depends on the new system.
- ✓ Execute a safe cutover — pick a low-traffic window, freeze changes in the old system, do a final delta migration, and switch over with a clear go/no-go decision rather than a hopeful guess.
- ✓ De-risk the project and get buy-in — give ops, IT, finance, and leadership a single document showing the plan, the rollback path, and the timeline, making the switch easy to approve and trust.
Who uses it
Switching marketing automation software is rarely a one-person job. The migration is usually owned by the team that lives in the tool, but it pulls in IT, project management, and finance to land it cleanly. The most common participants are:
Context & good to know
A marketing automation software migration runs as a sequence of phases, and the checklist anchors each one. It starts with an audit — inventory the data, configurations, integrations, and workflows in your current marketing automation software, and decide what actually needs to move. Next comes export and mapping: pull the data out, then match every field to its equivalent in the new system, transforming or cleaning anything that does not line up. Then you import into the new tool and validate — spot-check records, reconcile totals, and confirm nothing was dropped or mangled. After that comes the parallel run, where both systems stay live so you can compare outputs and build confidence. Only then do you cut over, making the new marketing automation software the system of record. Finally, you decommission the old platform once you are certain you no longer need it. Compressing or skipping a phase — especially validation or the parallel run — is the most common way migrations go sideways.
Deciding what data to migrate is its own discipline. Move the records and history you genuinely need, but resist the urge to port everything — a migration is a rare chance to leave behind stale, duplicate, and irrelevant data instead of carrying years of clutter into a clean system. Beyond the obvious records, the easy-to-forget items are what bite teams later: historical data and audit trails, file attachments and documents, custom fields and settings, user accounts and permission levels, saved reports and templates, automations and workflows, and — critically — the integrations that connect your marketing automation software to the rest of your stack. Each of those needs an explicit decision: migrate, rebuild, archive, or drop. The checklist forces that decision early, instead of discovering on go-live day that a key integration or report never came across.
Three things separate a smooth marketing automation software switch from a painful one: contract timing, change management, and a rollback plan. On timing, line up your contracts so the new system is fully validated before the old one lapses — a deliberate overlap protects you, but an open-ended one wastes money, so set the decommission date as a real milestone. On change management, adoption is won before cutover, not after: train users on the new marketing automation software, update documentation, communicate the timeline, and give people a reason to switch rather than quietly keep using the old tool. On rollback, always know your way back — until the parallel run proves the new system is trustworthy, keep the old marketing automation software live and your latest export safe, so a failed cutover is an inconvenience, not a crisis. It is also worth knowing the "R" frameworks practitioners borrow from cloud migration — rehost, replatform, refactor, repurchase, retire, retain, relocate — which are just structured ways of answering one question for each piece of your setup: move it as-is, change it, replace it, or leave it behind?