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
Core Reporting API can be used to build dashboards & automating complex reports. This Core Reporting API has 250 data points (dimensions & metrics). To make building dashboards easier, Google has launched Google Analytics Metadata API now. The Metadata API contains all the query able dimensions and metrics included in the Core Reporting API. Attributes for each dimension and metric, such as the web or app name, full text description, grouping, metric calculations, deprecation status, and whether the data is query-able in segments have also been included as part of the Metadata API.
The new Metadata API saves a lot of time and gives users direct access to all the great new data the instant it’s available. Data Deprecation Policy for Google Analytics APIs for dimensions & metrics has also been published. More information about the The New Google Analytics Metadata API is available at Google Analytics Blog
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.
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 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.
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.
Google analytics has introduced real time data. This helps provide stats as it happens on the website. One can see the no. of visitors active on the site. It helps in social media measurement as to how many people visit through a twitter link, how many visitors are on the blog & etc. This is a siginificant step for GA moving towards real time data.
Also GA has introduced premium which provides higher level of data, advanced tools & many other features. They will have access to more tools, customer support for customized implementation & others.
Webmaster tools data can now be accessed in GA. This is available under search engine optimization. By linking both the accounts, one can get the webmaster tools data in GA. More details are available at Google Analytics Blog
With the rise of mobile devices & tablets, more & more people are browsing the net on mobile. It becomes imperative to track the mobile analytics to better reach the customers. Now many analytic packages come with tracking mobile & tablet devices. Google analytics has also introduced tracking mobile devices. Some important data include type of mobile device, java script enableled, browser, traffic, how the web page renders on the screen & others. Some of the companies have developed a very well mobile site. ipad, iphone, android, blackberry, windows & others are some of the top mobile based devices.