https://palworks.github.io/Google-Analytics-Name-Changer-for-Chrome-Extensions/ · Developer Tools
3 items
Replace unreadable GA4 property slugs and account numbers with human-friendly names directly in Google Analytics. Managing multiple Google Analytics 4 properties is frustrating when all you see are cryptic slugs like egedbdckafdbomehjaihjhbcgtamgmlah and account numbers like 376298379. GA4 Name Changer fixes this - instantly replacing those unreadable identifiers with human-friendly names you define, directly inside analytics.google.com. - How it works Set your display names once in the settings page: • Map GA4 property slugs (long lowercase strings) -> readable names like "Production App" or "Marketing Site" • Map GA4 account numbers -> recognisable names like "Main Account" or "Client: Acme Corp" GA4 Name Changer then rewrites these identifiers live as you navigate - no page reload required. - Key features • Live text replacement - slugs and account numbers replaced as you navigate GA4 • Quick popup - click the toolbar icon to view and edit mappings without leaving GA4 • Auto-detection - popup detects your current account number and unmapped slugs on the page • Full settings page - manage all mappings with Import / Export JSON support • Synced across devices - your mappings sync via your Chrome profile • No data collection - all mappings stay on your device; nothing is sent to any server - Who is it for? Agencies and developers managing multiple GA4 properties, analytics managers switching between client accounts, and anyone tired of deciphering which property is which.
Jun 5, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.