e-comm analytics
TRANSCRIPT
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 labels)
• 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
• QlikView – Integrate & process data, build consolidated dashboard
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These companies enable free programs and offer great support!
Contact Details
For further info please contact:
Dafna Levy
Email: [email protected]
Phone: +972 (0)54-6881739
NooL