Web Analytics - Page views (PV)
Table of Contents
About
Page views measurement allows to measure the number of views for a particular web page.
Page Views is a event send by a tracker that counts:
- On a server side rendering system, every page load
- On a single page application, every URL modification.
- On a infinite scroll page (a webpage that continuously loads new posts as the user scrolls down), you may define a page view as a multiple of items viewed.
PageViews that are not the loading of a page are also referred as virtual pageviews.
Other definition
Visible Page
To see if the page was viewed by switching from one tab to another, you can use the Page Visibility API (Can I Use pagevisibility)
Monthly Page View (MPV)
MPV is a metric for website size.
Example of category:
- Under 250k
- 250k - 500k
- 500k - 1 million
- 1 million - 5 million
- 5 million - 10 million
- 10 million - 20 million
- Over 20 million
Request Example
Google Analytics
- From the google analytics tracker
- To its collector
- With a get http request
- Where
- the attributes are passed via the query string
- the attributes are explained in the measurement protocol
- utma, utmz, … are Ga Cookies value
- dimension and/or metrics attributes are Custom Dimensions and Metrics
https://www.google-analytics.com/collect?v=1
&_v=j79 # Version
&tid=UA-6493290-1 # Tracking ID / Property ID.
&cid=1144209745.1575553561 # Client ID (Anonymous id)
&a=1345355812
&t=pageview # Pageview hit type.
&_s=1
&dh=mydemo.com # Document hostname.
# All events can have a document path (&dp) or document location (&dl).
&dp=/home # Page (document path)
&dl=https%3A%2F%2Fgerardnico.com%2Fmarketing%2Fanalytics%2Ftracker # document location
&dt=Tracker%20%5BGerardnico%20-%20The%20Data%20Blog%5D # Title.
&ul=en-us
&de=UTF-8
&sd=24-bit
&sr=1920x1080
&vp=881x969
&je=0
&_utma=67809543.1144209745.1575553561.1575553561.1575553780.2
&_utmz=67809543.1575114967.13.2.utmcsr%3Dgoogle%7Cutmccn%3D(organic)%7Cutmcmd%3Dorganic%7Cutmctr%3D(not%2520provided)
&_utmht=1575597168434
&_u=AACCAEAB~
&jid=
&gjid=
&_gid=1552872619.1575553608
&z=808338420
&dimension5=author
where:
More … see Ga Pageview Doc
Segment
The call:
analytics.page({
path: '/',
referrer: 'http://localhost:8080/',
search: '',
title: 'WebComponent Test',
url: 'http://localhost:8080/'
});
The created json:
{
"anonymousId": "6603c084-944a-40bf-a493-e3a21765d1a4",
"context": {
"ip": "143.176.206.82",
"library": {
"name": "analytics.js",
"version": "3.10.1"
},
"page": {
"path": "/",
"referrer": "http://localhost:8080/",
"search": "",
"title": "WebComponent Test",
"url": "http://localhost:8080/"
},
"userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36"
},
"integrations": {},
"messageId": "ajs-f51a947ad152777a76f5060c41a6988c",
"originalTimestamp": "2020-01-12T09:02:06.178Z",
"properties": {
"path": "/",
"referrer": "http://localhost:8080/",
"search": "",
"title": "WebComponent Test",
"url": "http://localhost:8080/"
},
"receivedAt": "2020-01-12T09:02:07.496Z",
"sentAt": "2020-01-12T09:02:06.182Z",
"timestamp": "2020-01-12T09:02:07.492Z",
"type": "page",
"userId": null
}
Table example
Segment
| Column | Description |
|---|---|
| Anonymous_id | The anonymous ID of the user |
| user_id | The unique ID of the user |
| context_<key> | Non-user-related context fields sent with each page or screen call - Google Analytics - Browsing Context ( URL , screen, ) |
| id | The unique ID of the page or screen call itself |
| received_at | When the page or screen call was received |
| sent_at | When the page or screen call was triggered by the user |
| <property> | Each property of your pages or screens is created as it’s own column, and the column type is automatically inferred from your data. For example, you might have columns like referrer and title. |
Derived Data Structure
From a page view event, you can construct:
- a collaborative recommandation system - ie a People Also Viewed table.
- a association recommandation system - ie a Who viewed your profile table -
- site speed monitoring
