Users
also called Total usersVisitors
Definition
The number of distinct visitors to the site in the period, from your web-analytics source.
How it's calculated
An approximate distinct count: the per-row visitor sketches are combined and estimated, with nulls read as zero. The measure is a HyperLogLog estimate over a combined visitor array, not a sum.
Scope, grain and dimensions
- Grain
- One number per date range, or one row per breakdown value.
- Dimensions
- country · device · page · keyword · source_medium · intent · category · subcategory1 · subcategory2
- Required filters
- date_range
- Aggregation
- Never summed across rows; the estimate is recomputed at the queried grain.
- Metric type
- raw measure · users
Data sources
Where you'll see this
Named reports that normally include this metric.
AI referral traffic reportSearch to revenue report
Skills and analyses that use it
Skills carry the judgment; the analysis verbs do the reading.
Analysis verbs
web_analytics_overviewpop_significancefunnel_dropoff
Method rungs and levers
A rung tells you what a movement here can and cannot explain, read the rungs below it first.
Ask Quattr
- "How many people visited?" Simulate this →
- "Users by device?" Simulate this →
How to read it
People rather than visits, and the denominator the conversion-rate measure actually uses. That last point matters more than it looks: a conversion rate quoted per user and one quoted per session are different numbers about the same period.
Caveats, freshness and failure modes
An approximate distinct count, not a sum, breakdown rows will not add to the total.
On accounts below the enterprise analytics tier the tool swaps to a raw summed twin, which double-counts visitors seen across multiple rows.
Whole-domain only today.
This is the denominator of the conversion-rate measure in the semantic layer, and no tool substitutes a session denominator, the significance tool tests the same user-based measure the product displays.
- Freshness
- loads nightly, a same-day question gets yesterday's number, labelled as yesterday's.
Common failure modes
- Summing a user breakdown.
- Assuming conversion rate is conversions over sessions because that is the industry default.
Not the same as
The confusions that cause the most wrong decisions.
Users Sessions Compare definitions →
Users count people, sessions count visits. One person can open many sessions, and neither measure is derived from the other.
Watch this metric read in a real run
All runs →
1 min 55 secChatGPT cites us. Does any of it become revenue?AI visibility + Web analytics · Search to revenue◐Recreated from an anonymized session
2 min 18 secThe deck is due tomorrow. The numbers live in five places.Search Console + Rank tracking + AI visibility + Web analytics + Google Ads · Monthly exec review◐Recreated from an anonymized session
2 min 20 secWhere do we stand? Five questions answer it, in order.Search Console + Rank tracking + AI visibility · Monthly exec review◐Recreated from an anonymized session
Related metrics and workflows
Metrics
Verification
A definition is the smallest part of this.
The measurement matters because something acts on it. Here is the rest of the showcase, in the order most people find useful.