Live data · rolling 30-day window
The State of CRM Copy
Across 3 anonymous scoring events in the last 30 days — real CRM operators, real drafts — here's what Orbit flagged, what scored, and what didn't.
Privacy: Orbit never stores the subject lines or drafts themselves. Only the score, the finding labels our own detector produces, and the character/word counts are kept — enough to build aggregate pictures, not enough to reconstruct anyone's copy.
Subject Line Scorer
0 subject lines scored
How they tier out
No events yet.
Score distribution
No data yet — check back after a few days of scoring events.
Most-flagged issues
No data yet — check back after a few days of scoring events.
Slop Detector
3 drafts analyzed
How they tier out
Sharp = 85-100. Slop = sub-50 — 3+ structural AI-drafting signals, typically uncompetitive with human-written copy.
Score distribution
85-100
0-49
Most-flagged slop patterns
Vague qualifier
Filler transition
Non-opinion
Fake completeness
Drive-growth cliché
Generic closer
LinkedIn-rhythm paragraphs
Corporate jargon
Empty authority phrase
Seamlessly adverb
Expect to see the template-marketing patterns dominate: "Let's dive into…", "In today's fast-paced digital landscape", empty authority phrases. These are the single clearest tell of AI-first-draft prose.
How this page updates
Every time someone scores a subject line in the subject-line scorer or runs a draft through the slop detector, Orbit logs an anonymous event: the score, the tier, and the detector labels that fired. The scored text itself is never stored.
This page reads those events across a rolling 30-day window and aggregates them. There are no curated case studies, no hand-picked examples, no weighting. What real operators score is what you see.
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Beyond the scorer
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