E-Comm Analytics Demo*

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*Based on test data

Magnolia’s New Website

A New Process Is Born Too!

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The Front-end Process Steps

• Supported by Magento E-Commerce App

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The planned Front-end Process (“Sunny Day”)

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Track Actual User’s Actions (With Heap )

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Define Significant Actions

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Uncover Users Drop-Off

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Export Event Data From Heap for Further Analysis

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Discover Users Path Flow (With Disco)

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Before Clustering – High Variance

Reduce Process Variance

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Mapping Events to E-Comm Categories

Re Import - After Mapping Process Events

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The Simplified Purchasing Process Model

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Discover & Analyze Abandoned Carts

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Challenge Ahead

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View All Sessions per User

• Joining all sessions of a user to have a full picture of his activities

• Path analysis can be performed for multiple users at the same time

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Using QlikView for Multi-Channel Sales

• Linking purchases from the web & branches by E-Mail

• Locating registered club members in ERP

• Purchases in the local branch are displayed

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The Back-end Process Steps

• Steps which are supported by other systems (ERP, CRM…)

• Relevant documents are created in ERP (e.g., Client Order, Move Docs, Shipping label)

• A document Status & timestamp can be used for tracking the process

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Build the Actual Full Process Flow

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Front-end Monitoring & Analytics

Example Solutions

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Events Analysis with QlikView

Magento’s Built-In Dashboard

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Shoppimon: Define & Monitor Shopping Scenarios

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Google Analytics: Site Performance Dashboard

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WunderdataBI for Magento

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Special Thanks..

• Heap Analytics – capturing events & generating reports

• json-csv – converting events from JSON to CSV files

• Fluxicon – discovering patterns of user path flow

• Wunderdata - out of the box E-Comm solutions

• Shoppimon – website monitoring & alerts

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These companies enable free programs and offer great support!

Contact Details

For further info please contact:

Dafna Levy

Email: dafnal@nool.co.il

Phone: +972 (0)54-6881739

NooL