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Google Analytics for Ecommerce | WAW | Nick Mezlak

Date post: 22-Jan-2015
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Description:
Nick Mezlak discussed the ways to use Google Analytics for ecommerce to find truly valuable information. Keep in mind - clean data is key to marketing success.
8
Web Analytics Wednesday July 31, 2013
Transcript
Page 1: Google Analytics for Ecommerce | WAW | Nick Mezlak

Web Analytics WednesdayJuly 31, 2013

Page 2: Google Analytics for Ecommerce | WAW | Nick Mezlak

Important Metrics

Ecommerce• Product Performance

• Product, SKU, and Category

• Sales Performance• Total, Conversion Rate, and AOV

• Time to Purchase• Days and Visits

Traffic Sources• All Traffic

• Revenue, Conversion Rate, AOV

Audience• Mobile Devices• Demographics

• Location, Language

Page 3: Google Analytics for Ecommerce | WAW | Nick Mezlak

Audiences | Demo | Location

What countries are driving the most revenue?This can be beneficial for possible campaign expansion in PPC if the client is

open to it

Page 4: Google Analytics for Ecommerce | WAW | Nick Mezlak

Audiences | Language

Are there any additional areas that we can be targeting English speaking visitors?

Page 5: Google Analytics for Ecommerce | WAW | Nick Mezlak

Mobile | Overview

How much revenue is being driven to the site via mobile?Do you have mobile campaigns running?

Page 6: Google Analytics for Ecommerce | WAW | Nick Mezlak

Mobile | Devices

Which devices are driving the most revenue?Which devices are increasing?

Page 7: Google Analytics for Ecommerce | WAW | Nick Mezlak

Rolled Up Client Reporting

• Easy to digest client dashboards

• Making data available 24/7• Allows custom report

building for specific client needs

• Hits the big points but doesn’t cover the deeper dives

• Normally covers 70-80% of what our clients are looking for in terms of Analytics reporting

Page 8: Google Analytics for Ecommerce | WAW | Nick Mezlak

Advanced/Custom Reports

• Utilize GA or other reporting options to speed up or pull up reports quickly

• Find the areas that speak to your clients’ pain points

• Look for areas that will have trends before the client will notice them

• Speed up data aggregation to spend more time in analysis

• Leads to efficiency, increased intelligence and benefits to the client


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