← All topicsList Management & HygieneList Cleaning & Scrubbing
Accuracy / correctness · 1
accuracyKept the cleaning-vs-validation distinction crisp and correct: validation = can it technically receive; cleaning = should you send; validation is one tool inside cleaning. Matches article and aiSummary. No overclaim: no inbox guarantee, no benchmark stated as fact. Clean.
Would elevate the video · 2
elevateThe article names the three inline Almanac cross-links (domain reputation, spamtraps, email validation) as clickable concepts. Script keeps them as spoken concepts and connections, which is right for video, but consider adding a one-line on-screen callout for 'spamtrap' since most viewers won't know the term. Small teaching gain.
elevateArticle's aiSummary specifies the reputation harm lands at Gmail, Yahoo, and Microsoft specifically ('drags down sender reputation at Gmail, Yahoo, and Microsoft'). Script says 'mailbox providers' generically. Naming the big three would sharpen Beat 3 without overclaiming, and it's accurate to the source.
Considered, left out · 2
skipArticle's monitor-bucket detail 'move these to a re-engagement campaign or a lower send frequency' is compressed in the script to 'lower send frequency or a win-back flow.' Equivalent, nothing lost. Skip expanding, it's covered.
skipArticle mentions 'addresses from compromised lists' in the suppress bucket. Script says 'lists you can't vouch for,' which is the plain-language version and avoids the banned RME term 'Breached/Compromised Address' being read as jargon. Rightly generalized.
What is email list cleaning, and why your list needs it
Question: 005.004.001 · What is email list cleaning? · ~3:00 · single-question video
COLD OPEN
Same list as six months ago? That's a problem.

If your subscriber list looks exactly the same as it did six months ago, you've probably got a problem hiding in it. List cleaning is how you find it, and clear it out, before it drags the rest of your mail down.

⬡ title-card, big "List Cleaning", subtitle fades in: keep · monitor · suppress
BEAT 1, the one-line answer

So what is it? List cleaning is the process of going through your whole subscriber list and deciding three things for every address. Keep sending to it. Watch it. Or stop sending to it. That's the job.

⬡ checklist, three rows drawn in: Keep · Monitor · Suppress
BEAT 2, it's more than a technical check
Not just "does it work?"

And here's the part people miss. You're not just looking at whether an address technically works. You're weighing engagement history, how the address was collected in the first place, whether the domain is quietly decaying, and whether anything on the list smells like a spam trap. Cleaning uses all of that, not just one signal.

⬡ record-cards, four signal cards light up: engagement · how acquired · domain decay · trap risk
BEAT 3, why it actually matters (the mechanism)

Why bother? Because dead addresses pile up bounces, and addresses that never open teach mailbox providers that people ignore your mail. Send to enough silence and providers start routing you to spam. The cruel part: your best readers, the ones who do open and click, stop seeing you. That's the cost of not cleaning.

⬡ journey-flow, healthy send lands in inbox, then unengaged addresses accumulate and the same send slides toward the spam folder
SUBSCRIBE

If that clicked, subscribe. We're working through every list-hygiene question, one plain answer at a time.

⬡ title-card, subscribe prompt
BEAT 4, the three buckets

In practice it sorts into three buckets. Keep the engaged crew, the folks who open, click, and reply. Monitor the on-the-fence ones, not dead but not warm either, maybe drop them to a lower send frequency or a win-back flow. And suppress the risky ones: hard bounces, likely traps, addresses from lists you can't vouch for.

⬡ split-compare, three lanes: KEEP (steady green line) · MONITOR (flat, watchful) · SUPPRESS (removed from the send)
BEAT 5, cleaning is not validation
Cleaning ≠ validation.

One thing to keep straight. Validation tells you whether an address can technically receive mail. Cleaning tells you whether you should keep sending to it. Related, but different jobs. Validation is one tool cleaning uses, not the whole thing. That's its own video, linked below.

⬡ split-compare, LEFT "Validation: can it receive?" vs RIGHT "Cleaning: should you send?"
TAKEAWAY

So a good starting move: run the list through validation to strip the dead addresses, then layer your engagement data on top. The addresses that are technically fine but have been silent for six months? Those are the ones you suppress or move to a win-back flow.

⬡ checklist, ordered: 1 validate out the dead · 2 layer engagement · 3 suppress or win back the silent
NEXT / SUBSCRIBE

Next up: how often you should actually run this. And subscribe for the rest of the list-hygiene playbook.

⬡ end-card, Subscribe + Next: "How often should I clean my list?" (005.004.002)
DESCRIPTION

What is email list cleaning? It's the process of reviewing your whole subscriber list and deciding, for every address, whether to keep sending, monitor, or suppress. In about three minutes: why cleaning is more than a technical check (it weighs engagement, acquisition source, domain decay, and spam-trap risk), the mechanism by which unengaged addresses push your mail toward spam, the keep/monitor/suppress buckets, and why cleaning is not the same as validation.

If your list feels stale, cleaning it is exactly what we do (hi) → reviewmyemails.com/done-for-you

Next: How often should I clean my email list? → [link 005.004.002]

Full written guide → reviewmyemails.com/emailalmanac

0:00 The problem hiding in your list

0:20 What cleaning is

0:45 More than a technical check

1:10 Why it matters

1:40 Keep, monitor, suppress

2:10 Cleaning vs validation

2:35 Where to start

#email #deliverability #listhygiene

CONNECTIONS
• next: 005.004.002 How often should I clean my email list?
• related: 005.004.005 List cleaning vs validation · 005.003.015 What are spamtraps? · 005.001.012 What is domain reputation?
• vocab: list cleaning, engagement, domain reputation, spamtrap, suppress