Seatext library

What happens to SeaText experiments when I deploy from staging to production?

SeaText experiments persist across deployments if the domain configuration matches. To ensure continuity, verify that your production URL is included in the allowed domains list within your settings.

When you deploy from staging to production, SeaText experiments remain active and continuous provided the domain configuration is correctly mapped. Because SeaText links experiment logic to the domain name rather than a specific server instance, moving code from a staging environment to production does not reset data or stop active tests.

To ensure a seamless transition, you must verify that your production URL is whitelisted in your SeaText account settings. If the production domain is not recognized, the script will fail to initialize, potentially leading to data gaps or broken experiences for your users.

Pre-Deployment Readiness Checklist

Before pushing your code to live, follow this checklist to ensure your experiments continue uninterrupted:

  • Verify Domain Mapping: Ensure the production URL is added to the 'Allowed Domains' list in the SeaText dashboard.
  • Check Script Consistency: Confirm the snippet used in staging is identical to the one intended for production.
  • Sync Environment Variables: If you use API keys or specific configurations, ensure they are correctly set for the production environment.
  • Test Variant Initialization: Perform a manual check on the production URL to verify that the SeaText script loads without console errors.
  • Review Analytics Collection: Ensure that your analytics platform is configured to receive data from both staging and production if you are testing.

How Experiment Continuity Works

Seatext identifies users and tracks experiments based on domain-specific identifiers. When a user visits your staging site, SeaText records their interaction with specific experiment variants. If that same user moves to the production site and the domain is authorized, SeaText recognizes the user and places them in the same experiment bucket they were assigned previously.

This architecture means you do not need to 're-run' experiments after a deployment. The logic lives at the edge, meaning the AI adapts the content in real-time based on your rules, regardless of which server is serving the code.

The Importance of Domain Configuration

The most common reason experiments fail during deployment is a domain mismatch. SeaText uses domain-level security to prevent unauthorized sites from using your scripts and data. If your production URL is not explicitly listed in your settings, the script will remain inert to protect your account data.

Ignoring this step can result in 'split-brain' data, where users on staging see one version while production users see the original content.

Troubleshooting Domain Mismatch Errors

Domain mismatch errors occur when the script executes on a URL not present in your Seatext whitelist. This is particularly common when moving between subdomains and root domains. SeaText treats staging.example.com and example.com as distinct entities for security purposes.

  • Subdomains vs. Root Domains: If your staging is on dev.example.com and production is example.com, you must add both explicitly. SeaText does not automatically inherit permissions from parent domains to children.
  • Localhost Restrictions: Seatext explicitly restricts localhost for security reasons. To test experiments locally, use a tunneling service like Ngrok or a staging environment that mimics a real domain structure.
  • Protocol Mismatches: Ensure you are consistent with https. If your whitelist uses http but your site uses https, the browser may block the script due to mixed content errors.

Edge-Based Architecture and Cache Invalidation

Seatext utilizes an edge-based architecture to deliver experiments. Unlike traditional server-side testing that requires logic within your application code, Seatext processes rules at the network edge. This minimizes 'flicker' where users see original content briefly.

When you deploy new code, you might worry about the edge cache serving stale experiments. SeaText handles cache invalidation by decoupling the experiment logic from your static assets. When you push a deployment, the edge nodes fetch the latest version of your script while maintaining the experiment assignment state in the global data store. This ensures that a deployment doesn't wipe out user-bucketing data.

CI/CD Pipeline Integration Best Practices

Integrating Seatext into your CI/CD pipeline ensures that experiments are treated as code. You should use environment variables to manage experiment IDs across different stages.

  • Environment Injection: Use build scripts to inject the correct Seatext Experiment ID. This allows the same codebase to use a staging ID and a production ID respectively without manual changes.
  • Automated Smoke Tests: Include a step in your pipeline to verify that the Seatext script is present in the rendered HTML. If the script is missing, the build should fail.
  • Feature Flag Sync: Consider using feature flags to toggle Seatext script activation. This allows you to deploy the code silently and activate the experiment logic separately.

Testing in Production Safety Protocols

Testing in production is necessary because staging environments rarely mirror real user traffic perfectly. To mitigate risk, follow these safety protocols:

  • Canary Rollouts: Use Seatext settings to limit an experiment to a small percentage of production traffic (e.g., 5%) before scaling.
  • Internal Filtering: Use IP whitelisting or specific headers to ensure only your internal team sees the experiment variants on the live site before the general public.
  • Real-time Error Monitoring: Watch your error rates and latency metrics immediately after deployment. If the production performance dips, disable the experiment via the dashboard instantly.

Managing Experiment IDs Across Multi-Environment Setups

Consistency is critical for data integrity. If you use the same ID for staging and production, your data will merge, making the results statistically invalid.

Best practice dictates using a naming convention that includes the environment suffix. For example, EXP_HEADER_001_STG and EXP_HEADER_001_PRD. This clear separation ensures that developers testing variants in the staging environment do not pollute the high-value production conversion data.

Deployment Strategies and Trade-offs

There are two primary ways to handle the transition of experiments during cycles:

  • The Staging-First Approach: Run the experiment entirely on staging to validate the UI and AI before going live. This is the safest method but takes longer.
  • The Parallel Approach: Deploy the code to both staging and production simultaneously with the experiment active on both. This is faster but carries higher risk if the code has layout issues on the live site.

Common Mistakes to Avoid

Many teams encounter issues during the deployment phase due to avoidable errors:

  • Changing IDs: Never change the Seatext ID mid-test.
  • Clearing Caches: If your deployment process clears cookies or local storage, users will be treated as new visitors, losing their assignment.
  • Hardcoding URLs: Avoid hardcoding domain-specific logic in your code. Use environment variables to ensure the Seatext script identifies the environment dynamically.

Decision Framework for Migration

Decide how to move your experiments based on these criteria:

Criteria Recommended Action Risk Level
High-risk UI changes Test on staging, then deploy Low
Urgent copy tweaks Deploy to both at once Medium
New product launch Start experiment on production only High

Frequently Asked Questions

Will I lose my test data if I deploy new code?

No, as long as the domain is authorized and the ID remains the same, the data continues to aggregate.

Do I need to start a new experiment for the production site?

No. Use the same ID to maintain a continuous user journey for those who move from staging to production.

What happens if I forget to add the production domain?

The Seatext script will not execute on the production site, and users will see the default content without AI optimizations.

Does Seatext slow down my deployment?

No. Seatext operates at the edge, meaning it does not impact your internal build pipeline or server times.

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Further reading and comparison sources

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