fixes / launch-ready

How I Would Fix emails landing in spam in a Make.com and Airtable AI-built SaaS app Using Launch Ready.

If your SaaS emails are landing in spam, the symptom is usually simple: users do not see onboarding, password reset, billing, or product updates. The most...

How I Would Fix emails landing in spam in a Make.com and Airtable AI-built SaaS app Using Launch Ready

If your SaaS emails are landing in spam, the symptom is usually simple: users do not see onboarding, password reset, billing, or product updates. The most likely root cause is weak sender authentication or a bad sending setup, not "the inboxes being broken".

The first thing I would inspect is the sending domain setup: SPF, DKIM, DMARC, the From address, and whether Make.com is sending through a properly authenticated email provider. In AI-built SaaS apps, I also check whether Airtable automations or Make scenarios are sending too many similar messages too quickly, because that can hurt reputation fast.

Triage in the First Hour

1. Check which emails are affected.

  • Password resets?
  • Welcome emails?
  • Transactional receipts?
  • All outbound mail?

2. Inspect the sender identity.

  • From name
  • From email
  • Reply-to
  • Sending domain
  • Subdomain used for mail

3. Open DNS records for the domain.

  • SPF record
  • DKIM record
  • DMARC record
  • Any duplicate TXT records

4. Review the Make.com scenario.

  • Which module sends email?
  • Is it using SMTP, Gmail, Outlook, SendGrid, Mailgun, Postmark, or another provider?
  • Are there retries creating duplicates?

5. Check Airtable automations.

  • Are multiple triggers firing on the same record?
  • Are status fields causing loops?
  • Is a "send email" action being triggered more than once?

6. Inspect recent deployments.

  • Any changes to domain settings?
  • Any new environment variables?
  • Any switch from one email provider to another?

7. Look at logs and message headers.

  • Delivery status
  • Spam complaints
  • Bounce rate
  • Authentication results

8. Check reputation signals.

  • Domain age
  • New IP or new sender domain
  • Sudden send volume spike
  • Low engagement from cold recipients
dig TXT yourdomain.com
dig TXT _dmarc.yourdomain.com
dig TXT selector1._domainkey.yourdomain.com

If SPF or DMARC is missing, broken, or duplicated, I would treat that as the first production issue to fix.

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Missing or broken SPF | Mail gets delivered but marked suspicious | Check DNS TXT records and compare allowed senders with the actual provider | | DKIM not signing correctly | Headers show "dkim=fail" or no signature | Inspect message headers from a test email | | DMARC policy too weak or misaligned | Spoofing risk and poor inbox placement | Verify alignment between From domain and authenticated domain | | Make.com sending through a shared or misconfigured mailbox | Random spam placement across providers | Review the exact module and SMTP/provider settings | | Duplicate sends from Airtable automation loops | Users receive repeated emails or bursts | Audit automations, triggers, filters, and scenario history | | Poor content pattern or link reputation | Content looks promotional or phishy | Compare subject lines, link domains, and template structure |

The most common business mistake here is assuming this is a copywriting problem. Sometimes it is not. If your authentication is wrong, you can write perfect emails and still burn support hours on missed onboarding and failed password resets.

The Fix Plan

My rule is simple: fix trust first, then fix volume, then fix content.

1. Lock down the sending path.

  • Pick one primary transactional provider.
  • Do not send critical SaaS mail directly from Airtable if you can avoid it.
  • Route through a proper mail service such as Postmark, SendGrid, Mailgun, Amazon SES, or Resend.

2. Separate transactional mail from marketing mail.

  • Use one subdomain for product notifications.
  • Use another for newsletters if needed.
  • Example: `mail.yourdomain.com` for product mail and `news.yourdomain.com` for campaigns.

3. Correct DNS authentication.

  • Add exactly one valid SPF record.
  • Enable DKIM signing in the provider dashboard.
  • Publish DMARC with reporting enabled.

4. Tighten Make.com scenarios.

  • Add filters so only approved events send email.
  • Prevent duplicate sends with idempotency checks where possible.
  • Add error handling so retries do not create multiple messages.

5. Clean up Airtable triggers.

  • Make sure one status change maps to one send event.
  • Avoid trigger chains that update the same record repeatedly.
  • Store a sent flag or message ID to prevent re-sends.

6. Reduce spam signals in templates.

  • Keep subject lines clear and specific.
  • Avoid URL shorteners.
  • Limit image-only layouts.
  • Use plain text fallback where possible.

7. Test against real inboxes before going live again.

  • Gmail
  • Outlook
  • iCloud Mail
  • Yahoo Mail

8. Roll out slowly.

  • Start with internal addresses first.
  • Then 10 percent of active users.
  • Then full traffic after passing checks.

If I were doing this under Launch Ready, I would also verify Cloudflare settings around DNS propagation and ensure SSL is clean across all app and mail-related subdomains. Bad deployment hygiene often sits next to bad email hygiene in AI-built stacks.

Regression Tests Before Redeploy

Before shipping any fix, I would run these QA checks:

1. Authentication test.

  • SPF passes
  • DKIM passes
  • DMARC aligns with From domain

2. Inbox placement test.

  • Email lands in inbox for Gmail and Outlook test accounts
  • Not just "delivered", but actually visible in inbox

3. Duplicate-send test.

  • Trigger one Airtable record update
  • Confirm exactly one email is sent

4. Failure-path test.

  • Break one API key on purpose in staging
  • Confirm the scenario fails safely without spamming retries

5. Link safety test.

  • All links resolve over HTTPS
  • No broken redirects
  • No mixed content warnings

6. Content sanity test.

  • Subject line under control length
  • No suspicious wording like urgent payment threats unless truly necessary
  • Proper unsubscribe handling for non-transactional mail

Acceptance criteria I would use:

  • Inbox placement above 90 percent across test providers for transactional mail.
  • Duplicate sends reduced to zero in staging tests of 20 runs.
  • Bounce rate below 2 percent after rollout starts.
  • Spam complaint rate below 0.1 percent over the first week.

Prevention

This issue comes back when teams treat email as an afterthought instead of part of production infrastructure.

I would put these guardrails in place:

1. Monitoring

  • Track delivery rate, bounce rate, complaint rate, and open rate by sender domain.

- Set alerts if bounce rate exceeds 3 percent or complaint rate exceeds 0.1 percent.

2. Code review discipline - Review every change to Make scenarios and Airtable automations like production code. - Check behavior first: does this create duplicates, loops, retries, or unverified sends?

3. Security controls - Keep API keys out of Airtable fields and hardcoded scenario notes. - Use least privilege on email provider accounts and rotate secrets quarterly.

4. UX protection - Show clear resend states in-app so users do not click five times and create duplicate requests. - Surface "check your spam folder" only after confirming delivery health is fixed.

5. Performance hygiene - Avoid heavy attachment flows inside Make when a link will do better than a file send loop . - Keep scenarios small so failures are easier to isolate.

6. Reputation management - Warm new domains gradually . - Do not blast cold users from a brand-new sender identity . - Keep separate streams for product alerts and promotional campaigns .

Here is the simple decision path I use:

When to Use Launch Ready

Launch Ready fits when you need me to stabilize the production basics fast instead of spending weeks guessing inside Make.com and Airtable.

  • DNS setup and cleanup
  • Redirects and subdomains
  • Cloudflare configuration
  • SSL verification
  • Caching and DDoS protection checks where relevant to your app stack
  • SPF/DKIM/DMARC setup review
  • Production deployment validation
  • Environment variables and secrets review
  • Uptime monitoring setup
  • Handover checklist so your team knows what changed

I would recommend this sprint if:

  • Your onboarding emails are missing users at launch time,
  • You are about to run paid traffic,
  • You have already shipped once but support keeps getting "I never got my email" tickets,
  • Or you do not know whether the problem sits in DNS, Make.com logic, Airtable automations, or provider configuration.

What I need from you before starting: 1. Access to your domain registrar or DNS host, 2. Access to Cloudflare if it sits in front of your app, 3. Access to your email provider account, 4. Access to Make.com scenarios, 5. Access to Airtable bases used by automation, 6.Ideal sender examples plus screenshots of spam placements, 7.Any recent deploy notes or failed changes.

If you bring me those pieces cleanly packaged,on day one,I can usually isolate the failure path quickly instead of wasting half the sprint on access issues.

References

1. Roadmap.sh API Security Best Practices: https://roadmap.sh/api-security-best-practices 2.Roadmap.sh Cyber Security: https://roadmap.sh/cyber-security 3.Roadmap.sh QA: https://roadmap.sh/qa 4.Google Workspace Admin Help on SPF,DKIM,and DMARC: https://support.google.com/a/topic/2759254 5.Microsoft Learn on email authentication: https://learn.microsoft.com/en-us/microsoft-cloud/security/email-authentication-dmarc-dkim-spf

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  • [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.
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*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.