How to do Dynamic Remarketing Through Google Analytics?

Remarketing with GA allows advertisiers to create remarketing lists using GA’s dimensions & metrics. Now it is possible for a deeper remarketing integration between AdWords and Google Analytics. This integration helps retailers to have access to detailed product level reporting. Dynamic remarketing considers each customer as unique & ads can be created connecting visitors with their past shopping experiences on the site. As the ads are based on users past actions, these ads will perform better.

Steps for Dynamic Remarketing

1) Create remarketing lists using GA
2) Update your tags to track Product ID, Cart Value, and Page Type as custom variables (or dimensions)
3) Enable the Dynamic Link in Admin > Property > Dynamic Attributes.
4) Create a Dynamic Remarketing Display campaign in AdWords

Google Analytics Solutions Gallery has a remarketing starter list and can be downloaded from there.

Source: Google Analytics Blog

GA remarketing

GA remarketing

Web Analytics – Analysis & Insights to Drive Traffic & Leads

Web Analytics helps you understand how the visitors are navigating your site, the keywords searched in search engines, referrers, social media, campaign performance & other. There are several analytical tool available which provide a wide amount of information. This data can be used to improve the performance of the website. A java script code implemented in the pages send the information to analytics service providers & provide the data in the form of a report or dashboard.

Mobile App Metrics

The increase in the mobile browsing has resulted in companies going for apps to connect with the customers easily. App stores of Apple, Google, Microsoft & BlackBerry are important for brands to go for apps. Companies should also measure how apps are performing & need to take corrective action to increase the revenue & engagement from the apps. The following metrics would help companies to know how the apps are performing.

Installs, upgrades, Daily users, monthly users, crashes, OS versions, app stores, sales revenue, devices & others.
Days since the last log in, average session time, uninstalls & others are some other data which can be tracked.

With the increase in the use of social media, Facebook, twitter, you tube & other profiles can also be linked to the apps. This would help users to share the info about the apps. Apple’s app store, Google’s Google play, Microsoft’s windows app store & Blackberry app stores are the important app stores.

YouTube Trends Map – Real Time Most Popular Videos

YouTube Trends Map provides a real time information on what videos are popular across the US by city/region & also can be filtered by shares, views, gender & age range. Videos uploaded within 48 hours may not appear in age and gender breakdowns. Hovering over the map, one can watch the thumbnail of the popular video in that region. There is also a bar graph at the bottom of the page showing number of regions where each video is #1. Right now, this is available for US. The Trends Map is based on user response to YouTube Trends Dashboard.

Google Universal Analytics

With the growth of mobiles, tablet devices & others, it has become challenging to understand analytic data from multiple sources & use it effectively. Google’s universal analytics helps business address many such concerns easily. Universal analytics is the evolution of Google analytics. Universal analytics helps in online/offline data sync, performance of the mobile apps, how customers interact via an array of devices & others. It uses analytics.js tracking code & paste it to head section of the website. The javascript library has been changed to analytics.js from ga.js. Google Tag Manager can also be used to implement Universal Analytics. Some of the other features available include multi platform tracking, custom dimensions & metrics, select new feature releases & others. Google has been very active in improving the features of Google analytics & adding new features.

Mobile App Crashes Analytics

Mobile app crashes metrics provides information which helps provide better apps, more monetization & proper use of resources. Through the measurement, data will be updated every time there is a crash. Also crashes can be measured across various versions. This helps in understanding which version is stable. The app crashes can be divided among various platforms like iphone, andorid, Blackberry & others.

More in depth analysis can be made by analyzing crashes at the device level like Samsung Galaxy, Apple iphone & other makes. Whether crash is happening at the server level or due to the mobile phone problem can also taken into consideration. Ads are also served through apps. This also needs to be monitored to find out if clicking the ads is causing crashes.