Free tool

Organized analytics documentation bookmarks

Save and organize links to solution designs, implementation guides, dashboards, containers, and docs — grouped by type and client, so the thing you need is one search rather than a scroll through Slack.

  • By type & client
  • Pinning
  • Tags & search
  • Shared with your team
app.tagfire.io/app/tools/bookmarks
  • Acme — Measurement plan v3 (Sheets)PINNED
  • Acme — GTM container GTM-XXXXXXXCONTAINER
  • Acme — Looker Studio exec dashboardDASHBOARD
  • Acme — Consent Mode rollout ticketTICKET
  • Acme — dataLayer spec for devsSPEC
#acme#ecommerce#consent-mode#handover#server-side
9
Clients
146
Bookmarks
12
Pinned
24
Tags
One client, every link: solution design, dashboards, container, and the tickets behind them.

In short

How should I organize analytics documentation across clients?

By client and by document type, in one place that everyone on the engagement can reach. Analytics work generates links rather than files — solution designs, dashboards, GTM containers, ticket threads — and they are normally scattered across Slack, email, and personal browser bookmarks, which means the answer to any question is a search through chat history.

Organizes
By type and by client
Holds
Any URL — docs, dashboards, tickets
Finding
Tags, search, and pinning
Sharing
Shared across a workspace
Best for
Agencies and multi-client teams
Price
Free, no credit card

How bookmarks work

Save a link, say what it is and who it belongs to, find it again in seconds.

  1. 01

    Save any URL

    A measurement plan in Sheets, a dataLayer spec in Notion, a Looker Studio dashboard, a Jira ticket, a GTM container link, a vendor doc. Anything with a URL.

  2. 02

    Classify it

    Assign a type and a client, and add tags for anything cutting across both — consent-mode, server-side, handover. Pin the two or three links you open constantly for a given client.

  3. 03

    Find it later

    Filter by client to see everything for one engagement, by type to compare how you documented the same thing across clients, or search across the lot. Workspaces share the whole library with your team.

Guide

Why analytics documentation is always lost

Analytics work produces very few files and a great many links. The measurement plan is a Google Sheet. The dataLayer spec is a Notion page. The dashboard is Looker Studio. The container is a GTM URL. The decision about why an event was renamed is a Slack thread. The client sign-off is an email.

None of that lives in a repository. It lives wherever the person who made it happened to make it, and the index — if there is one — is somebody browser bookmarks bar. So the answer to "where is the measurement plan for this client?" is a search through chat history, every time, by whoever needs it.

The two axes that actually matter

Generic bookmark managers organise into folders, which forces a single hierarchy. Analytics work has two dimensions that both matter constantly, and folders can only express one:

By client
The question you ask most: everything for Acme, in one place. This is what you need at the start of a call, during a handover, and when someone asks a question about an engagement you last touched three months ago.
By type
The question you ask when building something: how did we document the dataLayer spec for the last three ecommerce clients? Filtering by type across clients is how you reuse your own good work instead of starting from a blank page.

Tags carry the third dimension — the concerns that cut across both. consent-mode, server-side, migration, handover. Those are the ones you want when a regulation changes and you need every client where consent wiring is relevant.

What to keep here

  • Measurement plans and solution designs — the current version, not the one attached to an email in March
  • dataLayer specs handed to developers, so the next question about a parameter has an answer
  • Dashboards and reports the client actually looks at, which is rarely all of the ones you built
  • GTM containers and GA4 properties, linked directly, so nobody hunts through account pickers
  • Tickets and threads carrying decisions — why an event was renamed, why a filter was added
  • Vendor documentation you look up repeatedly, which for most practitioners is the same eight pages forever

The handover case

The real test of any documentation system is what happens when the person who built the tracking leaves the project. If everything is in their bookmarks and their Slack DMs, the answer is a week of archaeology and a handful of decisions nobody can explain.

A shared, client-organised library makes handover a conversation instead of an excavation. This is also why it belongs in a workspace rather than a personal account — documentation that only one person can reach is not documentation, it is a personal filing habit.

What this is not

Good for

  • Agencies juggling many clients
  • Keeping the current version findable
  • Onboarding someone onto an engagement
  • Reusing your own past work as a template
  • Handover when someone leaves the project

Not a replacement for

  • A wiki or knowledge base with real content
  • Version control on the documents themselves
  • A measurement plan — write that first, then bookmark it
  • A project management tool

Comparison

Tagfire vs. the alternatives

How a purpose-built index compares to browser bookmarks and a shared documents folder.

CapabilityTagfireBrowser bookmarksShared drive folder
Organize by client and by type at onceYesFolders, one axisFolders, one axis
Tags across both axesYesNoNo
Shared with the whole teamYesNoYes
Holds links, not just filesYesYesAwkwardly
Pin the links you use dailyYesYesNo
Search across everythingYesTitles onlyFile names
Survives someone leavingYesNoYes
Sits beside your analytics toolsYesNoNo

FAQ

Frequently asked questions

Stop searching Slack for the measurement plan

Keep every client link organized by type and client, shared with your team, and one search away.

Open bookmarks