checklists / launch-ready

Launch Ready cyber security Checklist for paid acquisition funnel: Ready for production traffic in mobile-first apps?.

Ready means a cold user can tap an ad, land on your funnel, trust the domain, load the page fast on mobile, sign up or buy without friction, and never hit...

What "ready" means for a paid acquisition funnel in a mobile-first app

Ready means a cold user can tap an ad, land on your funnel, trust the domain, load the page fast on mobile, sign up or buy without friction, and never hit a security failure that leaks data or breaks payment flow.

For this kind of product, I would call it ready only if these are true:

  • The funnel loads in under 2.5 seconds LCP on a mid-range phone over 4G.
  • There are zero exposed secrets in the repo, frontend bundle, logs, or environment files.
  • SPF, DKIM, and DMARC all pass for the sending domain.
  • SSL is valid everywhere, including apex domain, www, and key subdomains.
  • Redirects are clean, canonical, and do not create loops or mixed-content warnings.
  • Cloudflare is configured for caching, DDoS protection, and basic bot filtering.
  • Production deployment uses locked-down environment variables and least privilege access.
  • Uptime monitoring is live with alerting before you spend on traffic.
  • The app can handle ad spikes without auth failures, 500s, or broken onboarding.
  • There is a handover checklist so the founder knows what to watch after launch.

If any of those are missing, you do not have a production traffic funnel. You have a prototype with paid traffic attached to it.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain ownership | DNS points to the correct host and apex/www resolve consistently | Ads need one stable destination | Lost traffic, bad attribution | | SSL everywhere | Valid certs on all public routes | Trust and browser safety | Warning screens, drop-off | | Redirect hygiene | One hop max for main paths | Speed and SEO | Slow loads, broken links | | Email auth | SPF/DKIM/DMARC pass | Deliverability and trust | Emails land in spam | | Secret handling | Zero secrets in client code or public repos | Prevents account compromise | Data breach, abuse | | Cloudflare protection | WAF/CDN/DDoS enabled | Shields from spikes and junk traffic | Downtime, higher costs | | Mobile performance | LCP under 2.5s on target devices | Paid traffic conversion depends on speed | Lower CVR, wasted ad spend | | Auth security | No critical auth bypasses or weak reset flows | Funnel data is sensitive | Account takeover | | Monitoring | Uptime + error alerts active before launch | You need early warning | Silent failures during spend | | Deployment safety | Production env separated from staging/dev | Stops accidental leaks and bad pushes | Outages, leaked test data |

The Checks I Would Run First

1. Domain and redirect chain audit Signal: Every ad URL resolves in one clean path to the final landing page with no loops and no mixed content. Tool or method: `curl -I`, browser devtools network tab, and a redirect map review across apex domain, www, locale paths, and campaign links. Fix path: Collapse redirects to one hop where possible. Force HTTPS at the edge. Canonicalize one primary domain and keep campaign URLs consistent.

2. Secret exposure check Signal: No API keys, private tokens, service account JSON files, webhook secrets, or test credentials appear in source control or client bundles. Tool or method: Search repo history plus secret scanning tools like GitHub secret scanning or `gitleaks`. Also inspect built assets because many founders only check source files. Fix path: Rotate anything exposed immediately. Move secrets to server-side environment variables only. Revoke old keys instead of just hiding them.

3. Email authentication validation Signal: SPF passes alignment checks; DKIM signs outgoing mail; DMARC policy is at least `quarantine` once verified. Tool or method: Use MXToolbox or Google Postmaster Tools plus actual test sends to Gmail and Outlook. Check headers for `spf=pass`, `dkim=pass`, `dmarc=pass`. Fix path: Publish correct DNS records for the sending provider. Remove duplicate SPF records because multiple SPF entries break deliverability.

4. Mobile performance smoke test Signal: Landing page LCP under 2.5s and CLS under 0.1 on a mid-tier phone profile; INP stays responsive during form interaction. Tool or method: Lighthouse mobile audit, WebPageTest with throttling, Chrome Performance panel. Test with real ad-like entry pages rather than just the homepage. Fix path: Compress images to AVIF/WebP where possible, defer non-critical scripts, remove heavy third-party tags from above-the-fold content.

5. Production deployment boundary check Signal: Production uses separate environment variables, separate database credentials if needed by risk level, and no debug flags in live mode. Tool or method: Review hosting dashboard settings plus `.env` handling in deployment logs and CI/CD config. Verify staging data cannot be reached from production routes by mistake. Fix path: Split environments cleanly. Lock down access by role. Remove any "temporary" admin access before traffic starts.

6. Monitoring and incident visibility check Signal: Uptime checks fire within 1 minute of downtime; error tracking captures frontend crashes and backend 5xx spikes; someone gets alerted fast enough to pause ads. Tool or method: UptimeRobot/Better Stack/Pingdom plus Sentry or equivalent error monitoring. Run a manual failure drill by taking down a route briefly in staging first. Fix path: Add health endpoints for critical services. Alert on checkout failure rate, login errors, API latency over 500ms p95 if that is your purchase path target.

Red Flags That Need a Senior Engineer

1. You have secrets inside the frontend app or committed history If an API key can be viewed in the browser bundle or repo history is dirty with tokens exposed once already leaked out of habit.

2. Your funnel depends on three or more redirects before the first screen loads That usually means messy routing logic poor canonicalization and higher bounce rate on mobile.

3. Your email setup is "working" but SPF DKIM DMARC are not all passing That means recovery emails receipts onboarding messages and verification codes can fail at exactly the moment paid users need them.

4. You cannot explain where production logs go who sees them and how long they are retained That creates compliance risk support blind spots and slow incident response.

5. Your ad traffic will hit login signup checkout analytics webhooks all at once but there is no rate limit WAF rule queueing strategy or fallback plan That is how you get downtime during spend spikes which burns cash fast.

DIY Fixes You Can Do Today

1. Turn on two-factor authentication everywhere that touches production Start with domain registrar hosting email provider analytics payment processor GitHub and Cloudflare.

2. Audit your DNS records now Remove duplicate SPF entries confirm MX records are correct add DKIM from your email provider verify DMARC exists even if it starts as monitoring only.

3. Remove secrets from visible places Check `.env` files public repos frontend config objects build output screenshots Notion docs Slack snippets and support tickets.

4. Test your funnel on an actual phone over cellular data Do not trust desktop Wi-Fi testing only because paid acquisition users will not behave like your dev machine.

5. Set up basic monitoring before launch day At minimum track uptime homepage response time signup errors payment failures email delivery failures and frontend JS errors.

A simple starting point for email policy looks like this:

v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s

Use that only after you confirm mail flow works in real inboxes.

Where Cyprian Takes Over

If you want Launch Ready done properly I would map the failures directly to delivery work instead of trying to patch them piecemeal.

  • Domain ownership issues -> DNS cleanup redirects subdomains apex/www routing
  • SSL problems -> certificate setup enforcement at Cloudflare origin validation
  • Slow mobile load -> caching asset optimization script trimming performance fixes
  • Exposed secrets -> secret rotation environment variable hardening repo cleanup
  • Weak email deliverability -> SPF DKIM DMARC setup testing validation
  • Missing protection -> Cloudflare WAF DDoS bot controls basic rate limiting
  • Broken deployment boundary -> production deploy hardening env separation rollback safety
  • No monitoring -> uptime checks error alerts incident handover checklist

What I would deliver inside that window:

  • Hour 0 to 8: audit DNS routing SSL exposure risks deployment setup
  • Hour 8 to 20: fix domain records redirects email auth Cloudflare rules
  • Hour 20 to 32: lock down secrets env vars production deploy settings
  • Hour 32 to 40: add uptime monitoring alerting basic observability
  • Hour 40 to 48: verify funnel paths run regression checks hand over checklist

The business outcome is simple: your paid traffic lands on a secure fast trustworthy funnel instead of a fragile prototype that burns budget while failing silently.

References

  • https://roadmap.sh/api-security-best-practices
  • https://roadmap.sh/cyber-security
  • https://roadmap.sh/frontend-performance-best-practices
  • https://developers.cloudflare.com/ssl/
  • https://www.cloudflare.com/learning/dns/dns-records/spf/

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Take the next step

If this is a problem in your product right now, here is what to do next:

  • [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.
  • [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.