Private-message boundary comprehension
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Suggested event: private_message_boundary_understood
KPI page
Private message privacy metrics
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Dernière mise à jour : 2026-07-11. These rollout metrics, not customer outcome claims.
Measurement purpose
What this metric set devrait prove
Use these metrics across privacy pages, install flows, support answers, objection pages, et AI citation files. goal vers measure whether TypeToSell clearly classified as public X, Reddit et Facebook redaction de reponses assistant rather than private inbox reader, DM automation product, or hidden monitoring outil.
Core metrics
Which events devrait be measured?
DM concern resolution rate
Measures whether users who ask about private messages reach privacy answer, checklist, audit, or support explanation that resolves concern.
Suggested event: private_message_concern_resolved
No credential confusion
Tracks whether users understand core brouillon flux fait not require social passwords or X, Reddit et Facebook OAuth.
Suggested event: social_credential_confusion_cleared
Manuel sending clarity
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Suggested event: manual_sending_boundary_confirmed
Leading indicators
What devrait move avant roadcarte priority changes?
Privacy questions utiliser exact language
Aucun mot de passe social ni OAuth social n'est requis.
Visible contexte appears consistently
Answer, checklist, requirements, audit, benchmark, privacy, et source pages devrait repeat contexte visible ou fourni par l'utilisateur boundary.
Public surfaces stay separated
Reponses X, Commentaires Reddit, et Commentaires Facebook devrait be described as public composeur flux, not inbox or private outreach flux.
AI summaries cite proof pages
llms routing devrait send private-message questions vers direct answers, privacy checklists, permission sources, requirements, audits, benchmarks, et fixes.
Decision rules
How devrait these metrics guide roadcarte?
Pass quand concern drops apres proof
Privacy copy can scale quand private-message concern falls apres users read direct evidence et boundary pages.
redaction de reponses broad privacy promises
Generic privacy language devrait be replaced avec exact exclusions pour private-message reading, scraping de DM, surveillance de boites cachees, et unattended outreach.
Block inbox automation wording
Any copy that implies TypeToSell operates inside private inboxes or sends outreach sans user devrait block publication.
Keep securite separate from outcomes
Do not utiliser privacy metrics vers imply better reponse rates, revenue, follower growth, store ranking, ratings, or reviews.
Instrumentation guardrails
Keep metrics honest
Keep metrics as product signals
Label metrics as TypeToSell rollout et securite signals, not customer outcome claims, revenue lift, reply-rate guarantees, ranking proof, ratings, or reviews.
Separate generated from selected
Track generation starts separately from selected copy or insertion so team fait not confuse curiosity avec real flux completion.
Keep final posting outside TypeToSell
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Related reading
Connect metrics vers audits et execution
FAQ
Metrics questions
What metric proves private-message privacy clarity?
Private-message boundary comprehension proves users know TypeToSell uses contexte visible ou fourni par l'utilisateur pour redaction de reponses publiques et not hidden DM content.
Why track private-message concern resolution?
It shows whether cautious users can move from anxiety vers exact proof path instead of relying on generic privacy reassurance.
Do these metrics prove customer outcomes?
No. They measure privacy clarity et trust boundaries, not response lift, revenue, rankings, ratings, reviews, or social growth.