Migrate from Convert. Step by step.

Convert plan details verified on convert.com/pricing on 10 June 2026.

Most Convert setups move over in an afternoon. Swap one snippet, re create experiments and goals, and validate your tracking in ABTestly before you move traffic or cancel anything. Migration help is free and human.

The short version. Five steps. The free ABTestly plan covers the pilot experiment. A tracking validation step confirms the switch with data before you move traffic, without letting two tools fight over the same visitor. Total effort for a typical Convert account: half a day of work plus a short validation step.

The migration, step by step

1. Inventory what you actually use (30 min). List active experiences, goals, and targeting rules in Convert. Most accounts find a handful of live tests and a graveyard of drafts. You are migrating less than you think.

2. Create your ABTestly site and install the snippet (15 min). Sign up free, add your site, paste the snippet into your <head>. The quick start covers placement, and the consent guide covers wiring it to your CMP if you operate under GDPR.

3. Rebuild one experiment as a pilot (30 to 60 min). Pick your simplest live concept. Define variants in JSON, author variation code in Monaco, attach goals, set targeting, and use preview links to QA each variant on your live site before launch.

4. Validate your tracking before you move traffic (passive). This is the step that de risks the switch, and it is not a race between two live tests. Run the same change in both tools at once and some visitors land in both, some in neither, and two scripts fight over the same elements, so the conversion numbers stop meaning anything. Prove the instrumentation first, without letting two tools touch the same visitor. Install ABTestly as a tracking only experiment that changes nothing on the page, or carve out a mutually exclusive slice of traffic, and confirm the plumbing:

Once the tracking checks out, launch one real low risk test in ABTestly. Do not expect the two tools' conversion rates to line up to the decimal. Different identity, attribution, consent, and goal definitions can move the numbers for legitimate reasons, so treat this as a plumbing check, not a numbers match. If something looks off, send us both setups and we will find out why before you have committed to anything.

5. Move the rest and cancel (1 to 2 hours). Rebuild remaining experiments, export your Convert history, cancel the subscription. On Convert's monthly Growth plan there is no contract to wait out. On annual, your plan simply does not renew, so start this validation a few weeks before renewal and the overlap costs you nothing extra.

Honest effort estimate

SetupExpected effort
1 to 3 simple tests, code editor basedHalf a day plus the validation step
5 to 10 tests with custom goals and audiences1 to 2 days plus the validation step
Heavy visual editor usage, complex targeting2 to 4 days. Visual changes must be re expressed as code. Honestly evaluate whether code first suits your team before starting (the vs page covers this).

What you get back: the same 100,000 tracked users for $249 / mo instead of $399 / mo. About $1,800 a year saved paying monthly, or $1,200 a year on annual billing. Full math on the pricing comparison. Not sure yet whether to switch at all? Start with the Convert alternative page.

Convert list prices exclude VAT. ABTestly prices are billed via Paddle as merchant of record. Applicable tax is handled at checkout.

We will do it with you

Migration help is free and human. Send us a screenshot of your Convert experiment list at sales@abtestly.com and we will map every experience, goal, and targeting rule to its ABTestly equivalent before you commit to anything.

Start the free pilot: app.abtestly.com/sign-up. Free plan, no card, 1 experiment is exactly enough for step 3.

Convert plan details verified on convert.com/pricing on 10 June 2026. ABTestly is not affiliated with Convert Insights, Inc.

de risk the switch

De risk the switch
with one pilot test.

The free plan covers step 3 exactly. One experiment, 3,000 tracked users, no card. Validate your tracking, then run one real test, before you decide anything.