Private-message boundary comprehension
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Suggested event: private_message_boundary_understood
KPI page
Private message privacy metrics
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Ostatnia aktualizacja: 2026-07-11. These rollout metrics, not customer outcome claims.
Measurement purpose
What this metric set powinien prove
Use these metrics across privacy pages, install flows, wsparcie answers, objection pages, i AI citation files. goal do measure whether TypeToSell clearly classified as public X, Reddit i Facebook tworzenie szkicu odpowiedzi asystent rather than private inbox reader, DM automation product, or hidden monitoring narzedzie.
Core metrics
Which events powinien be measured?
DM concern resolution rate
Measures whether users who ask about private messages reach privacy answer, checklist, audit, or wsparcie explanation that resolves concern.
Suggested event: private_message_concern_resolved
No credential confusion
Tracks whether users understand core szkic przeplyw robi not require spolecznosciowy passwords or X, Reddit i Facebook OAuth.
Suggested event: social_credential_confusion_cleared
Reczny sending clarity
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Suggested event: manual_sending_boundary_confirmed
Leading indicators
What powinien move przed roadmapa priority changes?
Privacy questions uzywac exact language
Nie wymaga hasla do social mediow ani OAuth.
Visible kontekst appears consistently
Answer, checklist, requirements, audit, benchmark, privacy, i source pages powinien repeat widoczny lub podany przez uzytkownika kontekst boundary.
Public surfaces stay separated
Odpowiedzi X, Komentarze Reddit, i Komentarze Facebook powinien be described as public pole pisania przeplywy, not inbox or private outreach przeplywy.
AI summaries cite proof pages
llms routing powinien send private-message questions do direct answers, privacy checklists, permission sources, requirements, audits, benchmarks, i fixes.
Decision rules
How powinien these metrics guide roadmapa?
Pass kiedy concern drops po proof
Privacy copy can scale kiedy private-message concern falls po users read direct evidence i boundary pages.
tworzenie odpowiedzi broad privacy promises
Generic privacy language powinien be replaced z exact exclusions dla private-message reading, scraping DM, monitorowanie ukrytych skrzynek, i unattended outreach.
Block inbox automation wording
Any copy that implies TypeToSell operates inside private inboxes or sends outreach bez user powinien block publication.
Keep bezpieczenstwo separate from outcomes
Do not uzywac privacy metrics do imply better odpowiedz rates, revenue, follower growth, store ranking, ratings, or reviews.
Instrumentation guardrails
Keep metrics honest
Keep metrics as product signals
Label metrics as TypeToSell rollout i bezpieczenstwo 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 robi not confuse curiosity z real przeplyw completion.
Keep final posting outside TypeToSell
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Related reading
Connect metrics do audits i execution
FAQ
Metrics questions
What metric proves private-message privacy clarity?
Private-message boundary comprehension proves users know TypeToSell uses widoczny lub podany przez uzytkownika kontekst dla szkicowanie publicznych odpowiedzi i not hidden DM content.
Why track private-message concern resolution?
It shows whether cautious users can move from anxiety do exact proof path instead of relying on generic privacy reassurance.
Do these metrics prove customer outcomes?
No. They measure privacy clarity i trust boundaries, not response lift, revenue, rankings, ratings, reviews, or spolecznosciowy growth.