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Accuracy / correctness · 4
benchmark hedgedArticle states hard bounce rate specifics as facts: 'under 0.5% per campaign' healthy, 'above 1% means a data problem', 'above 2% is serious and some ESPs will pause your account'. My script hedged these to 'well under a percent' and 'a couple percent' with 'providers' guideline / varies'. YT should decide whether to restore the exact 0.5%/1%/2% ladder with an ESP-guideline attribution, since bounce thresholds are among the CAN-state operational numbers.
benchmark hedgedArticle states Gmail's complaint filtering-action threshold as a flat fact: '0.10%'. I framed it as 'roughly one complaint per thousand / their guideline, not a law of physics'. This IS an attributable operational line (Gmail/Yahoo 2024 sender rules) so YT may restore the precise 0.10% figure with attribution. Kept hedged per the topic rule but flagging for restoration.
benchmark hedgedArticle states unsubscribe rate thresholds as facts: 'under 0.5% per campaign healthy', 'consistently above 1% means something isn't working'. My script dropped the numbers entirely and taught the trend + polite-exit mechanism. Unsubscribe rate has no provider-published threshold (unlike complaint/bounce), so hedging was correct, but YT can restore the 0.5%/1% directional guidance as a soft benchmark if desired.
benchmark hedgedArticle gives a concrete engagement example: '25% open rate stable for a year is healthier than 35% fallen from 55% in three months.' I kept this exact framing because it teaches trend-over-number without asserting a universal benchmark. No drift, retained as-is.
Would elevate the video · 1
dropped substanceArticle names the three specific inactivity windows (90, 180, 365 days) as the concrete measure of inactive volume. I kept 90/180/365 in narration but consider adding an on-screen band showing the three cohorts growing, since the specific windows are the actionable teaching (they tell the viewer exactly what to query in their ESP).
Considered, left out · 2
belongs elsewhereArticle's causes of rising complaints (weak permission model, recognition failures) I compressed to one line. Full treatment of permission/recognition belongs in the acquisition and complaint-rate videos (004.011.004, 005.002.001); a single mention here is right.
redundantArticle's closing RME clean + SOS pitch is placed in the DESCRIPTION rather than narration, matching gold-example convention (product mention out of the teaching body). Intentional, not a loss.
List health, the five metrics that actually tell you the truth
Question: 004.011.001 · What are the most important metrics for list health? · ~4:00 · single-question video
COLD OPEN
The scariest number isn't on your dashboard.

Your email dashboard shows you opens, clicks, a few pretty graphs. But the metric that best predicts whether you drift into spam over time? It's usually the one your ESP never puts in front of you. Let's talk about the five that actually matter.

⬡ talking-stat, big "5", then five pills fade in: Hard bounces · Complaints · Unsubscribes · Engagement trend · Inactive volume
BEAT 1, hard bounce rate is your data-quality signal

Start with hard bounces. Those are permanent failures: an address that doesn't exist, a dead domain, an account that got shut down. Every hard bounce is your list quietly telling you the data is stale. Providers' rough guideline is to keep it low, well under a percent per send, and some ESPs will pause your account if it climbs past a couple percent. So suppress dead addresses fast. They only drag your reputation down.

⬡ gauge-meter, needle sits in green low zone, band labels hedged: "keep low · providers' guideline · varies"
BEAT 2, complaint rate, the one real pass/fail line

Next, the spam complaint rate. This is the number where the mailbox providers actually drew a line in public. Gmail and Yahoo's sender guidance points at roughly one complaint per thousand emails as the action threshold, and heavier filtering kicks in a bit above that. This one you can treat as an operational limit, with the caveat that it's their guideline, not a law of physics. If complaints are climbing, it's almost always permission: people don't remember signing up, or you're just sending too often.

⬡ gauge-meter, complaint needle, band label "Gmail / Yahoo guideline, hedged: varies by provider"
SUBSCRIBE

If the difference between these two numbers is already clicking, subscribe. We go deep on every one of these, one video at a time.

⬡ title-card, subscribe line on screen
BEAT 3, unsubscribes are the polite exit

Unsubscribe rate sounds bad, but a healthy trickle is fine. Here's the thing: an unsubscribe is someone using the correct door. If they can't find that door, the only button left is Report Spam. So a clean, easy unsubscribe actually protects your complaint rate. Watch the trend. A sudden jump usually means content, frequency, or targeting drifted.

⬡ split-compare, LEFT "easy unsubscribe, the polite exit" vs RIGHT "no exit, they hit Report Spam"
BEAT 4, engagement is a trend, never a single number

Now engagement. This is where people panic over the wrong thing. A published average open rate tells you almost nothing, because those numbers vary wildly by industry, provider, list type, and audience. What matters is your own trend over time. A twenty-five percent open rate that's held steady for a year is far healthier than a thirty-five that just fell from fifty-five in three months. Track your line, not a magazine's number.

⬡ myth-fact, MYTH "hit the industry average open rate" · FACT "your own trend over time beats any published average"
BEAT 5, the inactive segment nobody shows you

And here's the metric that's invisible on every dashboard: how much of your list has gone silent. How many addresses haven't opened or clicked in ninety days? A hundred and eighty? A year? That crowd isn't neutral. Every time you mail them, they send a quiet negative signal to the mailbox providers and drag down everyone else's deliverability. Like barnacles on a hull, they slow the whole ship.

⬡ talking-stat, big "0 opens in 90+ days", caption "invisible on your dashboard, dragging your reputation"
TAKEAWAY

So the honest scoreboard is five numbers: hard bounces, complaints, unsubscribes, your engagement trend, and your inactive volume. Two of them, complaints and bounces, are reputation limits with real provider guidance. The rest are trends you own. Watch your own line over time, and you'll see trouble coming long before your open rate does.

⬡ checklist, five checks: hard bounces low · complaints under provider line · unsubscribes steady · engagement trend flat-or-up · inactive shrinking
NEXT / SUBSCRIBE

Want the deep version on reading bounce rates by where your list came from? That's the next one. And subscribe, we're answering every email question, one at a time.

⬡ end-card, Subscribe + Next: "Bounce-rate thresholds by list type" (004.011.003)
DESCRIPTION

What are the most important metrics for email list health? Five numbers tell the real story: hard bounce rate, spam complaint rate, unsubscribe rate, your engagement trend, and the inactive segment your ESP never shows you. Two of these (complaints and bounces) are reputation limits with real provider guidance from Gmail and Yahoo. The rest are trends you own. This video shows how to read them together, and why your own trend over time beats any published industry average.

0:00 The metric not on your dashboard

0:20 Hard bounce rate

0:50 Complaint rate, the real line

1:25 Unsubscribes, the polite exit

1:55 Engagement is a trend

2:30 The invisible inactive segment

3:10 Your five-number scoreboard

Concepts in this video: hard bounce, spam complaint rate, unsubscribe rate, engagement decay, inactive subscribers

Related: What are good vs bad open/click/conversion benchmarks? → [004.011.002]

Next: Bounce-rate thresholds by list type → [004.011.003]

Full written guide → reviewmyemails.com/emailalmanac

If you want to see what your list actually looks like before your next send, we clean lists and flag the risk segments (hi ;)). reviewmyemails.com/done-for-you

#email #deliverability #listhygiene

CONNECTIONS
• next: 004.011.003 Bounce-rate thresholds by list type
• related: 004.011.002 Good vs bad open/click/conversion benchmarks · 004.005.008 How is spam complaint rate calculated
• vocab: hard bounce, spam complaint rate, unsubscribe rate, engagement decay, inactive subscribers, negative engagement signals