How I Would Fix emails landing in spam in a Circle and ConvertKit AI-built SaaS app Using Launch Ready.

How I Would Fix emails landing in spam in a Circle and ConvertKit AI-built SaaS app Using Launch Ready

The symptom is usually simple: signups happen, but welcome emails, onboarding sequences, and community invites land in spam or promotions. In an AI-built SaaS app, the most likely root cause is broken email authentication or a bad sending reputation, not "bad copy".

The first thing I would inspect is the sending domain setup across ConvertKit, Circle, DNS, and Cloudflare. If SPF, DKIM, or DMARC are missing, misaligned, or conflicting with another sender, inbox providers will treat your mail like untrusted traffic.

Triage in the First Hour

I start with the fastest checks that tell me whether this is a domain problem, a content problem, or a reputation problem.

1. Check the exact sending domain in ConvertKit.

• Confirm whether emails are sent from your root domain or a subdomain like `mail.yourdomain.com`.
• Look for "from" address mismatches between Circle and ConvertKit.

2. Open DNS in Cloudflare.

• Inspect SPF, DKIM, and DMARC records.
• Check for duplicate SPF records. There should usually be one SPF record per hostname.

3. Review ConvertKit sender settings.

• Confirm domain authentication status.
• Verify bounce handling and complaint handling are enabled.

4. Review Circle email settings.

• Check whether Circle is also sending from the same domain.
• Confirm there is no conflict between Circle's mail provider and ConvertKit.

5. Inspect recent sends.

• Look at bounce rate, spam complaint rate, open rate drop-off, and failed delivery logs.
• If spam complaints spike after one campaign or sequence step, that content may be triggering filters.

6. Test inbox placement manually.

• Send to Gmail, Outlook, Yahoo, Apple Mail, and one workspace inbox.
• Compare where each lands: primary inbox, promotions, updates, spam.

7. Check recent app changes.

• Look at new signup flows, new email triggers, changed domains, or migrated DNS.
• A deployment can break email without touching the email copy at all.

8. Verify SSL and redirects on the sending domain and landing pages.

• Broken redirects or mixed content can hurt trust signals during signup flows.
• If users land on sketchy-looking pages before email capture, deliverability often suffers indirectly.

Here is the basic record I would verify first:

Type    Host                  Value
SPF     @                     v=spf1 include:spf.convertkit.com include:_spf.circle.so ~all
DKIM    k1._domainkey         [ConvertKit DKIM value]
DMARC   _dmarc                v=DMARC1; p=none; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s

Root Causes

1. SPF is missing or duplicated

If there are two SPF records on the same hostname, receivers may fail validation outright. This is common when founders add Circle later without checking what ConvertKit already set up.

How I confirm it:

• Inspect DNS for multiple TXT records starting with `v=spf1`.
• Use an SPF lookup tool to see if the final evaluated record exceeds the 10 DNS lookup limit.

2. DKIM is not aligned with the sending domain

DKIM signs messages so inbox providers can verify they were not altered in transit. If Circle or ConvertKit signs with a different domain than your visible `From` address, alignment fails and trust drops.

How I confirm it:

• Open raw message headers from a Gmail test send.
• Look for `dkim=pass` and check whether the signing domain matches your brand domain or approved subdomain.

3. DMARC is missing or too strict too early

Without DMARC monitoring, you cannot see who is sending on behalf of your domain. With an aggressive policy too early like `p=reject`, legitimate mail can fail while you are still fixing setup issues.

How I confirm it:

• Check if `_dmarc` exists.
• Review aggregate reports for unauthorized senders or alignment failures.

4. Shared sender reputation is damaged

If you use a shared IP pool in ConvertKit or another provider tied to poor behavior from other senders, your messages can inherit that risk. This shows up as inconsistent inboxing even when authentication passes.

How I confirm it:

• Compare performance across multiple mailbox providers.
• Check whether only one segment of sends performs badly while others are fine.
• Ask support whether you are on shared vs dedicated infrastructure.

5. Content looks promotional or suspicious

Spam filters do not just read auth records. They score language patterns, link patterns, image-to-text ratio, URL reputation, and user engagement history.

How I confirm it:

• Compare subject lines with high open campaigns versus spammed ones.
• Audit links for tracking domains that look unrelated to your brand.
• Review whether emails contain too many images, button-only layouts, or aggressive CTA language.

6. The signup flow creates low-quality leads

If your AI-built SaaS app captures weak leads through unclear forms or fake signups from bots, engagement drops fast and inbox providers notice. Low opens plus high deletes equals worse placement over time.

How I confirm it:

• Review signup source quality by UTM and referrer.
• Check for bot patterns: impossible names, disposable emails, repeated IPs.
• Inspect whether users actually complete onboarding after receiving email.

The Fix Plan

My goal is to repair deliverability without breaking live onboarding or causing downtime. I would fix this in layers: authentication first, then reputation hygiene, then content cleanup.

1. Separate sender roles by subdomain.

• Use one subdomain for marketing mail and another for transactional mail if possible.
• Example: `mail.yourdomain.com` for ConvertKit and `community.yourdomain.com` for Circle if supported.

2. Clean up DNS in Cloudflare.

• Remove duplicate SPF records.
• Publish one correct SPF record per hostname.
• Add DKIM keys exactly as provided by each vendor.
• Start DMARC with `p=none` so we can observe before enforcing.

3. Align From addresses with authenticated domains.

• The visible sender should match the authenticated subdomain whenever possible.
• Do not mix random Gmail addresses with branded mail systems.

4. Reduce risk in email content for 7 to 14 days.

• Remove link-heavy sections from onboarding emails temporarily.
• Keep plain-text versions clean and human-readable.
• Avoid spammy phrases like "free", "urgent", "act now", excessive caps, or too many emojis in subject lines.

5. Warm up sending behavior carefully if reputation is cold.

• Start with engaged users only: recent signups and active members first.
• Send smaller batches before full broadcast volume returns.

6. Fix any app-side trigger issues.

• Make sure one signup action sends one welcome email only once.
• Add idempotency so retries do not create duplicate sends after deploys or webhook failures.

7. Verify Cloudflare does not interfere with mail-related hostnames.

• Email MX-related records must be correct and not proxied like web traffic if they should stay direct DNS records only.
• Keep web security settings strong without breaking mail authentication records.

8. Add monitoring before calling it done.

• Track bounce rate above 2 percent as a warning threshold.
• Track spam complaints above 0.1 percent as an urgent issue.
• Alert on sudden open-rate drops of more than 30 percent week over week.

My Launch Ready sprint covers exactly this kind of cleanup: domain setup, SSL checks where relevant to web flows that feed email capture trust signals, Cloudflare configuration, DNS hygiene, production deployment review, environment variables, secrets,

Regression Tests Before Redeploy

Before I ship anything back into production, I run tests that prove we fixed deliverability without creating new failures elsewhere.

1. Authentication tests

• SPF passes on test messages from both Circle and ConvertKit where intended.
• DKIM passes consistently across Gmail and Outlook test accounts.
• DMARC alignment passes for the visible From domain or approved subdomain.

2. Inbox placement tests

• Send to at least 5 mailbox types: Gmail personal, Gmail Workspace,

Outlook.com, Yahoo, Apple Mail/iCloud account .

• Acceptance target: at least 4 out of 5 land in primary inbox or expected category within 15 minutes.

3. Sequence integrity tests

• New signup receives exactly one welcome message within expected SLA of under 2 minutes.
• No duplicate emails after refreshes,

retries, webhook replays, or failed deploy rollback .

4. Link and rendering tests

• All links resolve over HTTPS with no redirect loops .
• Images load correctly .
• Mobile rendering works at common widths: 375 px , 768 px , 1440 px .

5 . Reputation safety checks - Bounce rate stays below 2 percent on a controlled test batch . - Complaint rate stays below 0 .1 percent . - No sudden spike in unsubscribes after resending fixed campaigns .

6 . Security checks - Only authorized team members can change DNS , sender identities , automation rules , and webhook endpoints . - Secrets are stored outside code , never pasted into docs , chat , or frontend env files .

Prevention

I do not treat deliverability as a one-time fix . It needs guardrails .

• Put DNS changes behind review .

One bad TXT edit can break all outbound mail .

• Add a monthly deliverability check .

Review authentication , complaint rates , bounce rates , and engaged subscriber segments .

• Keep separate domains for marketing versus transactional traffic .

That limits blast radius if one stream gets flagged .

• Add code review rules around email-triggering logic .

Watch for duplicate sends , retry loops , missing idempotency keys , and broken webhook handlers .

• Log delivery events safely .

Store enough detail to debug , but never log full secrets , API keys , or private customer data .

• Test onboarding UX end to end .

If users do not understand why they should open your mail , they will ignore it , which hurts future inbox placement .

For an AI-built SaaS app , I also watch prompt-driven automations closely . If an AI agent generates email content dynamically , it needs guardrails against unsafe claims , broken links , prompt injection through user input , and accidental disclosure of private data .

When to Use Launch Ready

Use Launch Ready when you need me to stop guessing and make the whole mail-and-launch stack production-safe in one short sprint . It fits best when you already have an app live , but outbound email is hurting activation , trial conversion , or community growth .

This sprint is right if you need:

• Domain cleanup across Circle , ConvertKit , Cloudflare , SSL , redirects , subdomains , and production hosting .
• A fast fix for spam placement before a launch campaign burns ad spend .
• A handover checklist so your team knows what changed .
• Monitoring so you catch failures before customers do .

What I need from you before kickoff:

• Access to Cloudflare ,

your registrar , ConvertKit , Circle , hosting platform , analytics , and any CI/CD tool .

• A list of sending domains ,

current automations , recent campaigns , bounced addresses , plus any screenshots of spam-folder examples .

• One decision-maker who can approve DNS changes quickly .

If the issue turns out to be deeper than deliverability alone , I will tell you that early rather than patching over a product risk that will come back next week .

References

• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/cyber-security
• https://roadmap.sh/qa
• https://www.cloudflare.com/learning/dns/dns-records/dns-spf-records/
• https://help.convertkit.com/en/articles/2502539-authenticate-your-sending-domain

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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.*