Website Session Analysis - apache

I'd like to know the best way to deep dive into the flow of my users. For example, I have 4 pages in my flow, how can I analyze which users abandon on which step? I can definitely do it by hand with logging, etc, but I'd rather use an off the shelf solution.
I have apache request logs, as well as google analytics. Can these analyze users as sessions?

You can do this with Google Analytics.
The flow of the users are called a funnel, which you have to set up in Google Analytics, the metric you get out is called Target Conversion Rate.
You can learn more about it at http://www.google.com/support/conversionuniversity/

Related

How to get a rout information with trafic flow information included for a past date?

I am trying to use Azure Maps API. It will be nice to have route information which should include the locations of course and a speed profile. As you can understand speed profile is not an east one. Free flow speed profile is ok. But we want to simulate real-world conditions meaning that we want to select date and time of departure to get accurate speed information as close to as possible to a real world traffic influence.
Is there any feature that Azure provide this? If not, which API can provide this
I don't have any code at this moment to show since ı don't know which API to use.
Historical traffic data is not currently available in Azure Maps but is being investigated as a potential future feature.

How to build Google Analytics 'collect' like api using Google Cloud services

I'm trying to build a data collection web endpoint.The Use case is similar to Google Analytics collect API. I want to add this endpoint(GET method) to all pages on the website and on-page load collect page info through this API.
Actually I'm thinking of doing this by using Google Cloud services like Endpoints, BQ(for storing the data).. I don't want to host it in any dedicated servers. Otherwise, I will be end up doing a lot for managing/monitoring the service.
Please suggest me how do I achieve this with Google Cloud Service? OR direct me to right direction if my idea is wrong
I suggest focussing on deciding where you want to code to run. There are several GCP options that don't require dedicated servers:
Google App Engine
Cloud Functions/Firebase Functions
Cloud Run (new!)
Look here to see which support Cloud Endpoints.
All of these products can support running code that takes the data from the request and sends it to the BigQuery API.
There are various ways of achieving what you want. David's answer is absolutely valid, but I would like to introduce Stackdriver Custom Metrics to the discussion.
Custom metrics are similar to regular Stackdriver Monitoring metrics, but you create your own time series (Stackdriver lingo described here) to keep track of whatever you want and clients can sent in their data through an API.
You could achieve the same thing with a compute solution (Google Cloud Functions for example) and a database (Google BigTable for example) and writing your own logic.. but Custom Metrics is an already built solution that includes dashboards and alerting policies while being a more managed solution.

What do the Google Analytics related API's buy me that the Google Analytics UI cannot achieve?

Long time ago, I took and passed the Google Analytics IQ certification test. At the time, I don't believe there were such things as Core Reporting API, Management API, and Metadata API (and probably some other Google Analytics related API's that I don't know about). Now that I am going through the Google Analytics IQ certification training course again (provided by Google, presented by Justin Curtoni?? I believe that's his name), I found that they now have Core Reporting API, Management API, and Metadata API.
I am a computer programmer by trade; so, I have no problem with programming using these API's. However, what I don't understand is, what do these API's buy me that the Google Analytics UI cannot offer? There is no reason to write a program that utilizes these API's simply because I can do it. To me, the existing Google Analytics UI has a lot of tools, reports, and other features that quite extensive. I am hoping that some of you can help me see something that I am probably missing.
The APIs are primarily for programmatic access. For example, if you need to create 1000 accounts all with the same property/view structure and then maybe add a few view filters to each of those accounts, you'll probably want to use the Management API. Doing that by hand would be a nightmare.
The same thing is true for the reporting API. Maybe you want to set up task that runs every monday morning and reports on the previous weeks data. And maybe you want to display that data on an internal dashboard for your company using some fancy charting library. You'd have to use the API to get the data.
Dashboards (executive summaries; managers often want nice visualizations instead of boring drill-downs)
Custom reports for user groups that do not have a Google Account or are not supposed to have access to full reports (e.g. Affiliates)
advanced filtering and aggregation (GA report cannot do everything)
You can combine analytics data with external data (e.g. you are not allowed to store personally identifiable information within GA; but you might store a custom key that allows you to link analytics data to customer data from you CRM or fulfillment system)
Machine-to-machine communication; I once did tracking for an airline that needed trend data on what people where searching for and what they where actually booking; that data was used to allocate/withdraw resources from busy/lame flights, and part of this was done by hooking up GA to their backend system
Take a look at the GA Partner Page. I would say the primary reason is to "liberate" GA Data from outside of GA itself. As Eike mentions, you can create dashboards and combine this data with other sources for a complete "View" of your online presence.
HI I guess there is no definite answer. Here are some things you can do with the APIs:
Automating AdWords CRO based on keyword ad and campaign performance.
Scoring leads based on Analytics data (Engagement with different items) and external data from a CRM.
Collecting unsampled data using multiple daily queries
Filtering using several dimension.
Tracking conversions for periods longer than supported by AdWords.
Looking at a funnel via segments
Analyzing funnels with non-linear structures
Create more robust alerts
Export data to BigQuery and analyse it together with data from other systems.
Create Machine learning apps for behavioural customizing your site.
Create a dashboard with data from multiple views
Use product recommendation to implements "better together" in an online store.
Automate creation of accounts and properties + their integration in a Hosting provider's console.
Cheers!!

Is it possible to get Twitter Trends just for top 20% of users?

I wonder would it be possible to build and app or website where twitter trends would be displayed on different, bit more useful way. Does Twitter API supports such queries and whether it might be possible to run analysis on our own servers, just use Twitter API to get data. If we could use data only from most influential users and create new Trend list I think we might come with much more useful Trends than we have now.
Check this out: Pulling data from Twitter

Can you upload data to the Google Analytics API?

There are companies out there that claim to "integrate" data into GA. I know some phone call tracking companies in particular. Is there a way that they are uploading data to GA through the API or are they using some other method that doesn't require that?
There is no upload mechanism into Google Analytics besides manual __utm.gif calls like in the browser. Both Google Analytics APIs (Data Export and Management) are completely Read-Only.
There are a few ways these solutions work, but one of them is to generate a unique identifier for the person calling in to give the person on the other line. That code is linked to their referral information (grabbing from the cookies). Another solution is to have the customer manually input their phone number. That phone number is then dialed by the software and connected to the live person, and in the background the phone number is linked to the source information from the cookies.
Then, the person receiving the call either inputs the code it into the system, or automatically has the user's information, and at the completion of the call, depending on how it is resolved, can generate things like e-commerce transactions or particular pageviews for Goals, so it can generate __utm.gif calls with the relevant campaign and user data appended. As far as Google Analytics is concerned, the request formed is the same user. The only thing that will be different is the User Location (which is fairly inaccurate to begin with.)
ie, if I take the __utm.gif call from my computer, paste it to you, and you click it, Google will see that as an another pageview on this visit, and for most purposes ignore that the differing locations.
Well, Google Analytics works off the a tracking GIF with all kinds of data appended to it, so it can certainly be reproduced by these phone call tracking folks without a problem.
Phone call comes, request the 1x1.gif from google with tracking data suiting your needs, and the hit+data will soon register on GA.
http://www.google-analytics.com/__utm.gif?data-here&account=UA-blah&more-stuff
There are several options to send tracking data to Google analytics.
Use a library which implements the ga.js script server-side
When you use Google Analytics in the way described by Google, you include a script on your website. This script sends data from the visitors browser to the Google Analytics server.
This script has been reverse engineered and implemented in server-side libraries. Now you can send the same data from the server to the Google Analytics server. You can use PHP-GA for PHP or pyga for Python.
Use the Google Analytics measurement protocol
The Google Analytics measurement protocol is a new API to send data to Google Analytics. You can send data by sending POST requests to the API.