The 48‑Hour Launch Recovery Plan: One‑Page Triage to Fix Post‑Launch SEO, Billing & Metrics

Before you start reverting code or rolling back everything, gather evidence. Open a single incident note (Slack channel or Google Doc) and capture: traffic drops, error spike graphs, failed checkout counts, duplicates or double charges, and key Search Console or indexation errors. Prioritize what hurts revenue or user experience most — e.g., broken payments and mass deindexing outrank a missing schema snippet.

Run three rapid probes: curl the homepage and 5 priority pages to inspect HTML (title, description, canonical, robots meta, JSON‑LD), fetch robots.txt, and trigger a test payment path. These fast checks prove whether the problem is metadata/indexability, a staging noindex slipped into prod, or a payment/webhook issue that needs urgent rollback.

If Search Console shows pages as 'crawled - currently not indexed', or your curl reveals meta robots 'noindex' or X‑Robots‑Tag headers, revert the change that introduced those directives immediately. Most launch regressions are configuration mistakes: a staging noindex, template defaults, or middleware that adds X‑Robots‑Tag headers. Restore the previous robots/meta configuration and re‑submit the sitemap to Search Console.

Check JSON‑LD and structured data: malformed JSON‑LD can prevent rich results and confuse indexing. If you deployed new structured data and start seeing errors (or parsing failures in the HTML), roll it back to the prior stable snippet and treat JSON‑LD changes as P1 fixes — they matter for click‑throughs but can wait one step after indexability.

Billing bugs cost real money and destroy trust. If you observe duplicate charges, failed webhooks, or mismatched subscription states, take these immediate steps: put a temporary hold on live payment processing (maintenance mode or API key rotation), route new signups to a waitlist, and enable manual review for any suspicious payments. These actions stop further damage while you diagnose.

Root causes are often webhook handlers without idempotency, client‑side trust of payment success, or race conditions during provisioning. Add idempotency keys to server‑side charge handlers, move billing reconciliation to a queued worker (so retries don't cause duplicate provisioning), and validate webhook signing keys. If you need a rollback, replace new billing logic with the last known good checkout flow.

If your launch broke analytics or metrics pipelines, you're blind. Run a short, focused telemetry smoke test: generate a set of synthetic events that exercise signup, activation, purchase, and cancellation flows; confirm they appear end‑to‑end in logs, metrics (e.g., Prometheus/Grafana), and analytics (GA4, Segment). If events are missing, look for dropped telemetry (network blocking, API keys, sampling config) or schema changes that break ingestion.

Put temporary alerts in place for conversion metrics and billing pipeline errors so you get notified of regression. If your experiment depends on launch data, treat telemetry issues as P0: you can't trust growth decisions without accurate signals. For immediate mitigation, fall back to server logs or database counts to reconstruct the truth while you repair the pipeline.

Once immediate P0s are closed (indexability restored, payments stopped or stabilized, telemetry showing truth), communicate to stakeholders and users. Publish a concise status update: what broke, what you fixed, and what to expect next. For revenue‑sensitive incidents, offer remediation: refunds, credits, or manual fixes. Clear communication reduces churn and helps support triage.

Capture the incident as a postmortem and convert findings into a 30‑day stabilization plan: monitor GSC indexation trends, run a redirect/canonical audit, complete payment reconciliation, harden webhook idempotency across environments, and build automated smoke tests into your deployment pipeline so the same mistake won't ship again.