All ideas/analytics/A SaaS platform that intelligently suppresses analytic events during impersonations and enables admin role tagging for advanced segmentation across multiple tracking services.

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A SaaS platform that intelligently suppresses analytic events during impersonations and enables admin role tagging for advanced segmentation across multiple tracking services.

Scouted 6 hours ago

6.8/ 10

Overall score

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Score breakdown

Urgency8.0

Market size7.0

Feasibility7.0

Competition5.0

Pain point

User activity during admin impersonation pollutes analytics data and admin activity cannot be distinguished or filtered in analytics tools.

Who'd pay for this

SaaS companies and digital platforms using multiple analytics services that require clean, segmented data to improve decision-making and marketing.

Source signal

"Don't track users when an admin is impersonating them"

Original post

feat(analytics): suppress tracking during admin impersonation and label admin users

Published: 6 hours ago

LangWatch uses 6 tracking services: PostHog, Customer.io, GTM, Pendo, Reo, and Crisp, each with different levels of impersonation awareness. Currently, admin impersonation pollutes analytics data because many systems lack impersonation detection. Also, there is no way to label admin users in analytics, preventing filtering or excluding their activity. The proposal is to improve suppression of tracking during impersonation and label admins to enhance data quality and segmentation.

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