Showing posts with label google-analytics. Show all posts
Showing posts with label google-analytics. Show all posts

Wednesday, January 11, 2017

Google Analytics Account Setup

On 8:58 PM
Google Analytics Account Setup:

Tracking code basics
Universal analytics vs Classic Analytics
Google tag manager
Google Analytics Setup:

Recommended Checkbox: 
1. Google products and services
2. benchmarking
3. technical support
4. account specialists

Tracking ID-
-Java Script

Universal vs Classic Analytics
- With UA you can track them across devices

When we start our new account by default there would be:
-1 account
-1 Property
-1 View

Now fire the Code with GTM

Use Tags to fire Google Analytics to site

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Tuesday, January 10, 2017

What can you do with Google Analytics?

On 8:18 PM

Periodic Table of Google Analytics: https://www.jeffalytics.com/google-analytics-guide/
Co- Content Performing- Average time on page
- Find our which content is under promoted in social media
- time spent on content time spent viewing content
- feature downloadable content or calls to action in each piece
- Use events to lower bounce rate for engaged users
- Advanced content tracking
- Content marketing dashboards
Cd- Custom dashboards (analytics gallery)
Av- Advanced Segments
Sv- Social Value Reports
At- Attribution Modeling
Mo- Track Mobile Website and apps
Of- Offline Marketing
Vi- Video Plays
Ph- Phone Calls (voice over technology)
Cr- CRM Integration
De- Demographics
Cd- Cross Device Tracking
Re- Remarketing
Be- Benchmarking

For 2016 version check here




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Monday, January 9, 2017

Google Analytics Fundamentals

On 8:27 PM

Setting expectations with GA

- It's Free
- It's Easy
- It's Powerful
- It's Awesome
- Over 80% market share world wide
- Scary as heck! and overwhelming
- It's just a tool- Tools fail if you don't know how they works, tools with strategy are revolutionary
- GA helps you find answers but it is not the answer
Need a Right Approcah
Ask a question-> Do background research -> Construct a hypothesis-> test your hypothesis by doing an experiment->analyze your data and draw a conclusion->report your results(Was your hypothesis correct)
Analytics Where and Why
To understand what is working, to fix things that are not working, to generate ideas, to improve our results, to calculate our value, to justify and encourage investment, to tell our customer story, to see into the future.

Google Analytics Fundamentals:

- Send data to google servers
- make sure our data is clean
- define your success points

Creating or accessing a google analytics account:
- choose website tracking
- choose data sharing settings (google products & services and also technical support, Benchmark)
- Use GTM or Mannual setup
- Account-> 50 web propery -> Views (without filter and with filter)
- Filter- Don't tack your self (admin-filter- ip address feature)

- Filtering Rules- 
   -Always create a backup profile with raw data
   -large organizations can filter ISP Or IP ranges
   -If more than 10% of traffic, we have a problem
   -Use advanced segments on historical data
   -some patterns are not obvious
   -Annotations help share knowledge between team

Define the goal of webiste-
  -What is the purpose of my website?
 
How consumers make decisions-
Researching Trends- Generating iDEAS- Learning how- product research- comparing products - purchase
  - Macro Goals- Direclty generates revenue
  - Micro Goals- Positive activity, but no direct revenue

Goal Setting- In an individual view has 20 goals 
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Sunday, January 8, 2017

Terms we use in Analytics Account:

On 8:31 PM

Web Analytics Technology: Terms we use in Analytics Account:

JAVA Script:
Programming language that makes web analytics possible

Tracking Code: The java-script code that sends data to google

Cookies: How your browser helps websites remember you

First party cookie: Personal data only accessed by domain(Google analytics use this)

Third party cookie: personal data accessed by multiple domains

Filters: Limit the data that makes it into Google Analytics
Where filters applied mainly in configuration and processing process.

Account: where each company or business unit stores their data

Web Property: Each domain name or app you would like to track uniquely (50 property)

View (Formerly profile)- A specific way of looking at a web property (each property has 25 views)

Interface: Where we view our analytics reports and settings (Basic Metrics in GA Interface- Sessions, Users, Pageviews, pages/session, avg. session duration, bounce rate and % new sessions)

Sessions: When someone visiting your website or app for a specific amount of time (Default is 30 minutes)

New Session: A new session occurs when a google analytics cookie is set for the first time (may be clear his cookie)

Returning Session: A returning session means that the visitor cookie has been set previously

Users (Formerly visitors or unique visitors)- A user is the number of unique cookies that have been seen over a specified period of time

PageViews: the number of times a page has loaded and data was sent to GA

Session Duration (Formerly time on site)- The time between your first page view and your last page view (as long as it is within 30-minute session window)

Bounce Rate: the number of sessions where a user views only one page (they came, they left)

Goals: Teaching Google analytics the purpose of your website

E-commerce: Tracking the selling of products online


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Thursday, January 5, 2017

Web Analytics and Web Analytics Technology

On 8:18 PM
Analytics Course
- Web Analytics Technology:
Analytics is turning Data into information and Ultimately Knowledge for Better Decisions
Analytics is not about Data, Reporting, Statistics and it is not scary also. it only provide information which help us to
take better decisions with our company.

History of Web Analytics:
1990- Birth of www
1993- Launched log files (Creation of webtrends)
1995- Creation of analog
1996- web counter, first hosted hit counters(Accrue, Omniture, and websidestory were founded)
1997- Javascript Tagging (JAVA founded)
1999- Lunch of coremetrics
2004- Web Analytics Association is founded
2005- Google buys Urchin software (Lunch of Google Analytics)
2006- Clictale and inpage analytics are born
2010- Arrival of Heatmaps (Conversion rate optimisation Popularity)
2013- Mobile Analytics

Web analytics use to be a Log file, then move to java scripts (client side language- it lives in your browser)
Java Scripts is tracking visitors and not just Hits- so much option has to track down
Google Analytics Came in!

How web analytics technology works now
1. Collection (Java tracking Code)
2. Configuration (GA Admin)
3. Processing (Google's Servers)
4. Reporting (GA Interface)












► Continue Reading…

Tuesday, January 3, 2017

9 Google Analytics Metrics Start Tracking Now!

On 11:29 PM

  1. - Conversion Rate
  2. - Website Traffic- Cheak for last 7 days                                                                                             - medium status check and do action based on that                                                                         - Daily is the best 
  3. - Give Value to Conversion 
  4. - Audience- behaviour- engagement  (target 0-10 sec audence range and controle bounce rate)
  5. - Behaviour- Site content- all pages 
  6. - Acquisition- Search Console- Queries 
  7. - Create Segment for each country 
  8. - Mix adwords with google analytics 
  9. - Set Organic Traffic in segment then (Behaviour- Site content- all pages)

                     
► Continue Reading…

Thursday, November 24, 2016

Advanced Conversion Reports in GA

On 9:59 PM
Advanced Conversion Reports:
1. Multi-channel funnels
2. Attribution modeling

Where to find Multi-channel funnels and Attribution modeling
How to customize to fit your needs
How attribution models work
Creating your own custom model
► Continue Reading…

Wednesday, November 23, 2016

Advanced Content Measurement in GA

On 8:23 PM
Advanced Content Measurement:

How to automating and enhancing of content report
1. event tracking
There are drawbacks of Automation:
Today we will see
1. How to automate event tracking with GTM
2. Solutions if you don't Use GTm
3. Setting Content groupings using code
4. In-page analytics and enhanced link attribution
http://www.docalytics.com/ upload any pdf and track



https://github.com/googleanalytics/autotrack

Google analytics by yoast plugin
Google page analytics plugin in chrome

Enhanced link attribution:





► Continue Reading…

Sunday, November 13, 2016

Custom Dimensions and Custom Matrics in GA

On 9:01 PM
Custom Dimensions and Custom Matrics

  • Dimensions (rows)- source medium, goals, text
  • Metrics (columns)- Numbers


Custom dimensions and metrics

  • how to set up them in GA
  • Code needed to define them
  • Create your own calculated metrics



Need to put code in WordPress:

Resources: (for GTM variables)

  • https://github.com/jeffalytics/wp-gtm-variables/blob/master/functions.php


Custom Dimension AND metric Idea

Idea for Custom Dimension:

  • Content attributes- length, publish date, author, topic
  • Customer attributes- (Lifetime value, company size, employees)
  • Social Attributes (Shares, Likes, etc)
  • ROI Metrics (Lead value, expenses, budget, etc)


Idea for Calculating Metrics:



► Continue Reading…

Wednesday, November 9, 2016

Advanced use of Google Tracking Code in Google Analytics

On 9:10 PM

Here what you will learn in this blog:

1. Analytics.js vs ga.js (universal vs. classic)
2. Tracking Multiple domains and subdomains in GA
3. GA Code Plugins
4. Using GTM for Tracking

Analytics.js vs ga.js (universal vs. classic)
- (15% reduction)brand bredth use (80% lighter cookie)
- User ID Tracking
- reduce internet spam

How to know a person has gone from vipinnayar.com to digitalmandir.com

Cross Domain Tracking: Google Guide
- use official linker plugin and create a referral exclusion list
- Need to add Referral exclusion List (Property>tracking info)

Common uses for cross domain tracking
- with help of Cross domain we can collect data from multiple websites into a single account property
- set up multiple views for cross domain tracking setup
- separate filtered views to display data only from each individual domain

1. Multiple domains

2. Subdomains
- (if you are using universal GA then no need to enable it)
- Subdomains are tracked automatically with the base code 'Auto'

3. 3rd party shopping carts

4. IFrame content


Tracking Multiple domains and subdomains in GA

GA Code Plugins
1. Display features- third party cookies, remarketing and demographics
2. ecommerce= enable ecommerce tracking
3. enhanced ecommerce- initiate enhanced e-commerce
4. enhanced link attribution- improve on the in-page analytics report
5. Autotrack for analytics.js
How to load a plugin on you GA Script

you need to add code into  your script
<script>
ga('create', UA-XXXXX-Y', 'auto')
ga('require', 'linktracker');
ga('send', 'pageview');
</script>
<!--note: plugin scripts must be included after the tracking snippet.-->
<script async src="/path/to/link-tracker-plugin.js"></script>


Using GTM for Tracking:
you can use page view, transaction, event, social, timing, decorate link, decorate form
You can use enhaced ecommerce
you can use cross domain
you can use content groups

Take away:

Universal analytics speeds up the web (literally)

How we can recognize the version of ga we are running
-ga.js or urchin.js 

Google tag manager makes this even easier!

Utilize plugins to advance your google analytics

► Continue Reading…

Tuesday, November 8, 2016

Reporting vs Analytics: How Analytics fail to track Individual user How to fix them

On 9:07 PM

Mobile Analytics:
we track differently on mobile vs desktop

Does cookies work on mobile?
Mobile have different browsers, what is the solution to track in each browsers.

Device centric analytics?

how do we know about real visitor?

Solution of all your questions is UA User ID
Universal Analytics- Solutions for cross-device tracking
It track based on User Id (Common all devices)
User Id data for Analytics:

Read here more about how to setup User Id in your Analytics account:

Admin>Account>Property>Tracking Info>User ID



Here is the tips how you can use Google Tag Manager to implement the User ID in your Analytics tracking code.

User Id in universal analytics benefits
1.You can track your logged in visitors across all devices
2.No longer wonder if a unique visitors is really unique
3.Balance is restored to reports that were created in a one device world
4.With identified users, you can unlock a lot more functionality in GA (Custome dimension and metrics)

Drawbacks of User ID
1. not every site has logged in users in fact most don't
2. if does take time to get this set up and is still not perfect
3. not a lot of reports available at the time of the recording
4. you are still not tracking individual users in your reports

Other Tools for user behavior tracking
1. Mixpanel
2. keen io
3. heap


4. marketing automation platforms (Marketo, active campaign)
► Continue Reading…

How data collection works is GA (Google Analytics)

On 9:02 PM
How data collection works:
- "Beacon" -ALL of these code pieces send data to
    google analytics as a simple "beacon"
- each pageview, event, etc. sends data to Google Analytics and it looks like this
- Same with GA Fired by google tag manager

Tools-
1. Firebug lite for google chrome
2. Google analytics debugger
3. Tag assistant (by google)

Measurement Protocol:
- Sent beacon to GA
- You can send customized values to GA and they will track if for you

Read here more about Measurement Protocol

How GA data is collected
1. Most website send data to Google with Each page load using JavaScript
2. Or they choose to send data using GTM
3. But we can also send data for each mobile app screen viewed
4. We can track everything else using the Measurement protocol

Implementation rules for your site
1. see if there is an easy way to implement with Java Script
2. Use pre-defined libraries whenever possible (Like SDK and Java Script)
3. More advanced businesses may use measurement protocol
4. None of these additional tools are required and they can be hard

Measurement Protocol Misuse:
Measurement protocol is misused by spammers to send spam data to your analytics account

► Continue Reading…
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