Your SaaS is sunsetting.
Now what?

1. Don't panic (but don't wait either)

You just found out your SaaS tool is sunsetting. Maybe it's a Slack message from a teammate. Maybe it's an email from the vendor buried in your promotions tab. Maybe you saw it on Hacker News.

Take a breath. You have time. Vendors almost always give 6-12 months notice before the sunset. But here's the thing: the teams that start early migrate cleanly. The teams that wait until the last month end up rushing what should have taken a few calm afternoons.

The most dangerous reaction isn't panic. It's "we'll deal with it later." Later turns into last-minute, and last-minute turns into mistakes.

2. The first 24 hours

Before you do anything else, do these four things:

1. Read the official announcement carefully. Not the headline. The full announcement. Look for: exact sunset date, data deletion timeline, what happens to your account after the sunset, any migration assistance offered, refund policy.
2. Check your contract. Some SaaS agreements include data portability clauses or advance notice requirements. If the vendor is breaking their own terms, you may have leverage (or be entitled to a refund).
3. Tell your team. Don't sit on this. The people who use the tool daily need to know. They'll also know things you don't: workarounds, integrations, custom configurations that aren't documented anywhere.
4. Log in and take screenshots. Screenshots of your dashboard, settings, integrations, and configurations. This costs nothing and takes 15 minutes. If the vendor accelerates the sunset or the UI changes, you'll be glad you did this.

3. Audit what you could lose

Most teams think about their primary data (the spreadsheets, the survey responses, the customer records). They forget about everything else. Here's the full list of what lives inside a SaaS tool:

Primary data

The obvious stuff: your records, content, files, responses, transactions. This is what the export button gives you.

Configuration and settings

How you set things up: user roles, permissions, notification rules, automation workflows, custom fields, templates, branding. This is rarely exportable. You'll need to recreate it manually in the new tool.

Integrations

Every connection to another tool: Zapier/Make automations, API connections, webhooks, SSO configuration, embedded widgets. Each of these needs to be rebuilt. If you don't document them, you'll discover they're broken weeks after the sunset.

Institutional knowledge

This is the sneaky one. Over months or years, your team built processes around the tool. "We always do X before Y." "That field means Z in our context." This knowledge isn't in the tool. It's in people's heads. Capture it now, while the tool is still running and people can show you.

Historical data and audit trails

Depending on your industry, you may need to retain records for compliance. Financial tools, healthcare platforms, HR systems: check your retention requirements before the data disappears.

4. Export everything

The golden rule: export more than you think you need. Storage is cheap. Peace of mind is worth it.

Use every export option available

Most SaaS tools offer CSV/Excel export. Some offer JSON or API access. Use all of them. Different export formats capture different things. The CSV might miss metadata that the API export includes.

Check the export completeness

After exporting, open the files and verify:

• Does the row count match what you see in the app?
• Are all columns/fields present?
• Are dates, special characters, and Unicode handled correctly?
• If there are attachments or files, are they included or just referenced?

Store in multiple locations

Don't just download to your laptop. Store the exports in at least two places: local + cloud (Google Drive, Dropbox, S3). Date-stamp the files. You may need to export again closer to the sunset date to capture recent data.

If the tool has an API, use it

API exports are almost always more complete than UI exports. If you have a developer on your team (or can use a tool like Postman), pull your data via the API. This also lets you automate a final export right before the deadline.

5. How to evaluate alternatives

The vendor's suggested replacement is almost never the best option for you. They'll point you to their parent company's product (more expensive, more complex) or a "preferred partner" (who paid for the recommendation). Do your own research.

Start with what you actually use

Before looking at alternatives, list the features you actually use. Not the features the tool has. The features you use. Most teams use 20-30% of a SaaS product's capabilities. You don't need to replicate the other 70%.

Prioritize data portability

Can the new tool import your exported data? This is non-negotiable. If you can't bring your historical data, you're starting from scratch. Check specifically:

• Does it accept CSV/Excel import?
• Can it map your fields to its fields?
• Does it handle your data volume? (Some tools choke on large imports)

Test with real data, not demos

Sign up for a free trial. Import a subset of your real data. Recreate one of your actual workflows. Send it to a teammate and ask: "Does this work?" Demo environments with sample data tell you nothing useful.

Check the new tool's financial health

You're migrating because your current tool is sunsetting. Don't migrate to something that gets sunsetted next year. Check: Is the company funded? Growing? Profitable? Has it been acquired recently (a common precursor to sunsetting)? Crunchbase, G2 reviews, and the company's own blog are good signals.

6. The hidden costs of migration

The subscription price of the new tool is the smallest cost. The real costs are:

Team time

Someone needs to evaluate alternatives, set up the new tool, migrate data, rebuild integrations, retrain the team, and troubleshoot issues. For a small team (5-10 people), budget 20-40 hours of total effort for a simple migration. For complex setups: 80-160 hours.

Productivity dip

For 2-4 weeks after switching, your team will be slower. They'll be learning the new interface, asking "how do I do X in the new tool?", and hitting edge cases. This is normal. It passes. But factor it into your timeline.

Integration rebuilding

If you had 5 Zapier automations connected to the old tool, you need to rebuild 5 Zapier automations for the new tool. Each one takes 30-60 minutes if it's straightforward, longer if it's complex. And you need to test each one.

Data cleaning

Migrations are an opportunity to clean up your data. But cleaning takes time. Duplicate contacts, outdated records, inconsistent formatting: you'll discover these during import. Budget time for it, or deliberately import everything and clean up later.

7. Build a realistic timeline

Here's a general-purpose migration timeline. Adjust based on your team size, tool complexity, and deadline.

Month 1: Research and export

• Export all data (primary data + configurations + integrations documentation)
• List your actual feature usage
• Research 3-5 alternatives
• Sign up for free trials of top 2

Month 2: Evaluate and decide

• Test alternatives with real data
• Get team feedback
• Make the decision
• Negotiate pricing (mention you're migrating from a sunsetting competitor; vendors love this and often offer discounts)

Month 3: Migrate and test

• Set up the new tool fully (branding, users, permissions)
• Import data
• Rebuild integrations
• Run both tools in parallel for 1-2 weeks
• Switch fully when confident

Month 4: Stabilize

• Fix edge cases and bugs
• Train any team members who missed the transition
• Do a final export from the old tool (capture anything created since your first export)
• Cancel the old subscription

8. The 7 mistakes teams always make

9. After migration: the first 30 days

You've switched. The old tool is sunsetted. Now what?

• Week 1: Monitor everything. Are integrations firing? Is data flowing correctly? Are team members finding what they need?
• Week 2: Collect team feedback. What's working? What's confusing? What's missing? Fix the top 3 pain points.
• Week 3: Optimize. Now that the pressure is off, fine-tune the configuration. Set up the automation rules you skipped during the rush.
• Week 4: Document. Write down how the new tool works for your team. This prevents knowledge loss and helps new team members onboard.

10. How to prevent this from happening again

You can't prevent vendors from sunsetting their products. But you can be prepared:

Maintain a SaaS inventory

List every SaaS tool your team uses: name, what it does, who uses it, annual cost, contract renewal date. Review quarterly. You'd be surprised how many tools you're paying for that nobody uses.

Prefer tools with data portability

Before adopting any new SaaS, ask: "Can I export all my data?" If the answer is no or vague, think twice. Vendor lock-in is a risk you can evaluate upfront.

Watch for warning signs

SaaS sunsets rarely come out of nowhere. Common precursors:

• The company gets acquired (new owner may sunset the product)
• Feature development slows or stops
• Key people leave (check LinkedIn)
• The company pivots to a different market
• Pricing changes dramatically (a sign of financial stress)
• Support quality declines

Keep regular exports

For critical tools, export your data quarterly. Not because you expect a sunset, but because it's good hygiene. If a sunset is announced, you'll already have 90% of your data safe.

Quick-reference migration checklist

Copy this checklist and adapt it to your situation. It works for any SaaS sunset.