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Showing posts from 2015

Migration Automation Tool: Migrate Google Analytics GA3 / Universal Analytics(UA) to GA4 using Google Tag Manager

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Here is POC on Migrating GA3 / Universal Analytics to GA4 using Google Tag Manager. Demo Covers: Creation of GTM Account, Container and Workspace for tags  Adding GTM codes to webpages and enabling GTM Universal Analytics Property Creation in GA GTM UA / GA3 Pageview tag creation GA3 Event tag creation by capturing CSS selector for the button event trigger GA4 Property Creation and linking via GA Enabling GA4 pageview tag  Using GTM GA4 migrator tool to migrate GA3/UA event tags to GA4 Scanning though the GA4 event migration Validation using GTM debug mode Report validation

Flipkart's Adobe Analytics Tracking and "Whats Missing"

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Flipkart uses an s_code version lesser than h.25.3 code and fails to take advantage of first party cookie (s_fid) set by js code while using a third party cookie. Paying huge sum to Adobe and failing to take advantage of this fall back method :-(  in an online world which experiences a higher rejection rate for third party cookies ????? Adobe used user agent and IP address to track the user while s_vi cannot be SET in version lesses than H.23.5 which only means many people in a single network is treated as one visitor :-( Why on earth do you want to track your visitor statistics in such a way!!!!

Automated dashboard building tip using Adobe Analytics Report Builder!

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Preserving the required metrics/dimensions in a certain order while creating reports using Report Builder, and saving the templates by naming it properly is the key to build automated dashboards. Keep the raw the data in one sheet (don't forget to set the preserved order), and the formatted one in other (just apply the formula once - connect the data with charts). Every time you refresh the report with a different date range or different RSIDs due to preserved order set in the raw data sheet, the formulas applied in the formatted sheet connecting the raw data works superbly.

YouTube Embedded Video Tracking using Adobe Analytics (SiteCatalyst) - Download Codes here

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YouTube Embedded video tracking with any analytical tools require bit of code to be added - first, to bring the video details out of the iframe over an API - second configure Adobe Analytics media module milestone tracking in AppMeasurment.js (configure video reporting in RSID) - That's it!!!! Download the full set of ready-made codes here in a folder, open one of the html file in a browser, put the debugger on, play with the video + watch the image request firing up for the actions made on the video  smile emoticon Pack contains  - Configured AppMeasurement.js - Single YouTube Video tracking (HTML) - Multiple YouTube Video tracking (HTML) https://gist.github.com/KamalChembath/00106eb266c91777c32e

Linear Allocation (visit based) and Exaggerated Numbers while using Calculated Metrics - Exact Reason

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Adobe Analytics// Issue with calculated metrics!!! Wrong calculation when one of the value used in the calculation is zero. For example: Whenever the order value is zero and revenue has some value, the AOV calculated metrics divides revenue/orders. Ideally the output should be zero; it throws up wrong value here. I saw this across Client RSIDs; whenever the order value is zero and revenue has some numbers, the value is calculated wrongly. Need help! Screen Shot 2015-04-12 at 7.28.07 pm.png     REPLY 0 | QUOTE REPLY | UNSUBSCRIBE | EDIT | DELETE Answers 02:19  PM Brian Au ...in reply to Kamal Chembath April 10, 2015 Hi Kamal, Standard metric attribution for the Site Content> Pages report is linear therefore (see reference info linked below) even though it appears the Orders metric is 0 in the report it actually is a small fraction. Therefore when the calculation is made you

Tracking Lost Revenue & Lost Units in SiteCatalyst - scAdd do not Track Count of Multiple Units Added at Once

Adobe Analytics//  Passing units and revenue unnecessarily in s.products in pages other than purchase page is not a best practice, and will not be reported in analytics report. Solely relying on scAdd to track units added to the cart is definitely misleading. One can add multiple products at once..so........Better to keep track of units added to shopping cart in a separate variable + one more variable to track the revenue; preferably in the product string would be great. This will allow you yo calculate lost revenue vs actual revenue and actual units sold vs added units.  "The Revenue and Unit parameters are only valid when used in combination with the Purchase Success Event. They will be ignored in all other cases."  http://blogs.adobe.com/digitalmarketing/analytics/products-variable-inside-omniture-sitecatalyst/ I posted to confirm on my understanding on Adobe forum - The great Adam chose to reply for it. Reply from Adam -  I am not sure what your specific question