themeforum: Actionable Google Analytics (Magento Extensions)

Wednesday, 31 December 2014

Actionable Google Analytics (Magento Extensions)

Actionable Google Analytics is a Magento Extension which allows you to use some of the most important features of Universal Analytics including Enhanced Ecommerce & User ID Tracking. Additionally, the plugin supports I.P Anonymization, Product Refund, Content Grouping, Form Field Tracking & 15+ Custom Dimensions & Metrics.

By using our plugin you save hours of time in implementing complex Google Analytics code and instead focus on generating Actionable insights from your data.

Benefits of Extension

Quick & Easy Installation

Access to 10 Reports of Enhanced Ecommerce

Shopping Behaviour Report

Checkout Behaviour Report

Product Performance Report

Sales Performance Report

Product List Performance Report

Internal Promotion Report

Order Coupon Report

Product Coupon Report

Affiliate Code Report

Learn about how different devices are used by same user & how it drives purchase

Learn more about which products are refunded more often & take action for such products

Be in legal compliance by using I.P Anonymization which is important for EU countries

Learn more about which type of & what level of discounts generates conversion

Understand which payment methods are most widely used ?

Learn more about time taken to make purchase decision by customer

Carry out surveys to understand users e.g. whether a particular buyer is customer or consumer?

And much more

Our Extension tracks following Custom Dimensions & Metrics in your GA

Custom Dimensions:

Stock Status: Learn whether the product is in stock or out of stock. Keeping track of out of stock products will prevent you from acquiring traffic

on the out of stock product URLs.

Page Type: Identifies the type of the page. Example – Category Page, Product Page, etc. Helps you to compare the performance of different site

sections.

Product Discount: Getting Discount data in GA can actually help you in strategizing the discounts by analyzing the impact it is causing on the

product demand and other key metrics

Payment Method: Get insights into which Payment method (paypal, credit card, etc) is most popular for your store, which generates higher AOV and

Transactions

Shipping City & Billing city: Integrates the billing city & shipping city data directly into your GA. It Helps you learn about product

demand using insights on Shipping & billing cities.

Weekday: Learn whether a transactions was completed on weekday/ weekend. Helps you in comparing Weekdays v/s Weekend Performance

Local timeslot of the day: Learn the local time slot during which maximum transactions happens on your store. This can help you improve your

marketing activities across different geo locations.

User Type: Using this custom Dimension you will be able to differentiate users based on their checkout method. It will help you understand the

popular checkout method of your store.

Sequence at Product Page: Tracks the sequence in which products pages are viewed in a session. It will give you the idea as to which products are

viewed can be offered as a part of recommendation.

Add to Cart Button Position: The following dimension helps you understand how ‘Add to Cart’ button’s position impacts your CTR. Compare ‘Add to

Cart’ buttons position above the fold & below the fold to take important design decisions.

No. of Product in Stock: Using this custom dimensions you will be able to learn the stock availability of the product right into your Google

Analytics. Understand how showing stock quantity of the products is impacting its sales.

Time Taken to make Purchase: Learn the time taken by users to make purchase after landing on your store. It will help you make real time offers to

users.

Time Take to add Product to Add to Cart: Learn the time taken by users to add product to cart after arriving on the product page. Insights

generated from the data will help you strategize the promotional offers.

Product Size: Track the size of the product in Google Analytics. This will help you analyze the product sales in terms of its size.

Custom Metrics:

No of New Customer Orders/ Repeat Orders: Learn if your orders are coming from new customers or repeat customers. Using this metric you can learn if your marketing campaign is bring in new customers or repeated customers. If the campaign is bringing in repeated customers who any way are going to come, you may want to improvise your marketing campaign to acquire new customers.

Total monetary value of products viewed: Learn total monetary value of product viewed by a user in a single session. It helps you understand total

monetary value of products users generally view & what value of product they end up buying.

No of clicks on Category Pages & Product Pages: Tracks numbers of clicks that happens on Category Page & Product Page. It helps you to understand

the user engagement.