Private-message boundary comprehension
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Suggested event: private_message_boundary_understood
KPI page
Private message privacy metrics
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Zuletzt aktualisiert: 2026-07-11. These rollout metrics, not customer outcome claims.
Measurement purpose
What this metric set sollte prove
Use these metrics across privacy pages, install flows, Support answers, objection pages, und AI citation files. goal zu measure whether TypeToSell clearly classified as public X, Reddit und Facebook Reply-Entwurf Assistent rather than private inbox reader, DM automation product, or hidden monitoring Tool.
Core metrics
Which events sollte 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 Entwurf Ablauf macht not require sozial passwords or X, Reddit und Facebook OAuth.
Suggested event: social_credential_confusion_cleared
Manuell sending clarity
Drei Entwuerfe erstellen, einen waehlen, bearbeiten und manuell posten.
Suggested event: manual_sending_boundary_confirmed
Leading indicators
What sollte move vor roadKarte priority changes?
Privacy questions nutzen exact language
Kein Social-Passwort und kein Social-OAuth erforderlich.
Visible Kontext appears consistently
Answer, checklist, requirements, audit, benchmark, privacy, und source pages sollte repeat sichtbarer oder vom Nutzer bereitgestellter Kontext boundary.
Public surfaces stay separated
X-Antworten, Reddit-Kommentare, und Facebook-Kommentare sollte be described as public Eingabefeld Ablaeufe, not inbox or private outreach Ablaeufe.
AI summaries cite proof pages
llms routing sollte send private-message questions zu direct answers, privacy checklists, permission sources, requirements, audits, benchmarks, und fixes.
Decision rules
How sollte these metrics guide roadKarte?
Pass wann concern drops nach proof
Privacy copy can scale wann private-message concern falls nach users read direct evidence und boundary pages.
Antwortentwurf broad privacy promises
Generic privacy language sollte be replaced mit exact exclusions fuer private-message reading, DM-Scraping, Ueberwachung versteckter Postfaecher, und unattended outreach.
Block inbox automation wording
Any copy that implies TypeToSell operates inside private inboxes or sends outreach ohne user sollte block publication.
Keep Sicherheit separate from outcomes
Do not nutzen privacy metrics zu imply better Antwort rates, revenue, follower growth, store ranking, ratings, or reviews.
Instrumentation guardrails
Keep metrics honest
Keep metrics as product signals
Label metrics as TypeToSell rollout und Sicherheit 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 macht not confuse curiosity mit real Ablauf completion.
Keep final posting outside TypeToSell
Drei Entwuerfe erstellen, einen waehlen, bearbeiten und manuell posten.
Related reading
Connect metrics zu audits und execution
FAQ
Metrics questions
What metric proves private-message privacy clarity?
Private-message boundary comprehension proves users know TypeToSell uses sichtbarer oder vom Nutzer bereitgestellter Kontext fuer Entwurf oeffentlicher Antworten und not hidden DM content.
Warum track private-message concern resolution?
It shows whether cautious users can move from anxiety zu exact proof path instead of relying on generic privacy reassurance.
Do these metrics prove customer outcomes?
Nein. They measure privacy clarity und trust boundaries, not response lift, revenue, rankings, ratings, reviews, or sozial growth.