Manual QA doesn't get faster when marketing speeds up.

30 - 60 minutes per program is table stakes - until it isn't.

Every email, nurture, and webinar program still runs through the same checklist of tokens, links, naming, compliance - while launch dates don't move.

QA Compliance runs the repeatable checks in seconds so your team can focus on judgment calls.

Not every check needs human eyeballs.

Focus your team's judgment where it actually matters.

Semi-automated checks pull data from Marketo and surface it for rapid confirmation. You review what's there - not hunt through tabs to find it.

Compliance asks for proof - not screenshots in email.

Every check, timestamped and tied to the program.

Self-review and peer-review sign-off live alongside results, with config snapshotted at run time. When someone asks "what did we check before send?" - you have the answer.

Exportable when auditors or legal need the paper trail.

Built for marketing ops teams who are accountable when things go wrong.

Automated Check Engine

Program Setup

Required tokens, UTM values, campaign dates, exclusion list, audience size

Email Settings

Naming convention, sender/reply-to, subject length, preheader length, web page view

Email Content

All hyperlinks, unsubscribe link, header/footer count, mailto links, social icon URLs

Smart List

Opt-out filter, suppression list, no filter errors

Run all enabled checks against a Marketo program in seconds. No manual steps, no tab-switching, no spreadsheets.

Summary at the top shows passed, failed, and warnings - so you know exactly where to focus
Each check returns a specific detail message: what was found, what was expected, and why it matters
Point-in-time snapshot on every run - program state captured at start, so results are always consistent and auditable
Re-run after fixing issues in Marketo - previous runs preserved in full history

Configurable to Your Standards

Every org has its own naming patterns, required tokens, UTM standards, and compliance rules. QA Compliance enforces yours - not a generic default.

Toggle checks on or off, set severity per check (Error vs. Warning), and mark checks as required to block submission
Set org-level parameters: required token lists, naming regex patterns, UTM allowed values, suppression list names
Mix automated, semi-automated, and AI checks in a single run - each with independent severity and required flags

Semi-Automated Checks

Some checks need a human decision - but not a human doing the lookup. Semi-automated checks pull the data so your team confirms what's there, not hunts for it.

Pulls live Marketo data directly into the review - no tab-switching, no copy-pasting
Surfaces the exact email, setup fields, and token values so you confirm what's real, not what you remember
Flags empty fields, misconfigured triggers, and unresolved tokens before they reach your audience
Every confirmation is timestamped and attributed - you always know who reviewed what

Your Rules, Applied by AI

Every org has standards that don't fit a checkbox - naming conventions, compliance language, brand voice, program structure. Write them as plain-text prompts. The AI enforces them on every run.

Ready out of the box: 6 predefined checks cover subject line quality, placeholder detection, language match, CTA clarity, email relevance, and program alignment - enable what you need, skip what you don't
Build your own: HIPAA language screening, brand voice enforcement, regional compliance, product positioning accuracy - if you can describe the rule, the system can enforce it

Self-Review, Peer Review, and Audit Trail

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Screenshot needed

QA audit report - summary counts, self-review sign-off, peer-review sign-off (with names and timestamps), and individual check results

Save as: images/QA-Audit-Report.png | ~1000×800px

A QA run means nothing if there's no record of who reviewed it and when. QA Compliance builds the audit trail as your team works - not after the fact.

Builder self-reviews after all required checks have a result - locked with timestamp and user attribution
Peer reviewer sees every result and signs off, or flags specific checks with notes
Self-reviewer and peer-reviewer must be different users - configurable as required or optional per org
Complete QA report per program: every check, result, severity, who completed it, and when
Full run history preserved - re-runs don't overwrite previous results

An error that reaches 50,000 contacts is not a minor incident.

Three things that happen when QA is manual, rushed, or skipped under deadline pressure.

No Recall

Broken links reach every recipient. There is no unsend.

A link that resolves to a 404 or redirects to the wrong page goes to every contact on the send list. Automated link validation catches non-2xx responses before the send window opens - not after the complaint emails arrive.

Compliance Exposure

A missing suppression list or wrong sender address isn't a typo - it's a CAN-SPAM issue.

Missing unsubscribe links, incorrect from addresses, and absent suppression lists generate legal exposure and deliverability penalties. These are exactly the checks a machine should own - not a human under a deadline.

No Audit Trail

When compliance asks who approved this, "we did a manual review" is not an answer.

A QA report with timestamped check results, named self-reviewer, and named peer-reviewer is the difference between a documented process and "I'm pretty sure someone checked it." QA Compliance produces that record automatically.

Pre-send validation shifts time pressure on your team to a systematic, machine-enforced gate - so your team's attention goes to the decisions that actually need human judgment.

Stop reviewing what a machine should catch.