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Google Merchandise Store 2016 Q4 EDA

Objective

  • Provide a holistic analysis of the Google Merchandise Store in 2016 Q4
  • Deliver insights and recommendations to improve performance and inform marketing strategy

Data Source

Google Analytics Sample Data of the Google Merchandise Store

Summary of Insights and Recommendations

Regions

  • High-performing region: USA
  • Regions to target for user acquisition: Canada, Puerto Rico
  • Regions to consider market and user research: SEA, India

Devices

  • Review conversion path and payment experience on mobile and tablet devices
  • Value in targeting Google Chrome browser users

Engagements

  • Review the YouTube brand store page and products
  • Improve conversion rate through optimized engagement on home and store pages
    • More engaging content, improved site navigation, calls to action, and optimized conversion pathways
  • Employ marketing strategies to drive repeat visits (retargeting ads)

Traffic Channels

  • Increase focus on referral channel by strengthening partnerships
  • Reevaluate Social and Affiliates strategies to improve targeting and content relevance

Site Performance

  • Improve page load times to drive more engagement and conversions

Conversion Funnel

  • Improve product descriptions, calls to action, and user reviews on product pages
  • Optimize the checkout process to reduce friction

Tableau Dashboard

A tableau dashboard was created for this dataset at Web Store Performance Dashboard

About

EDA of the Google Analytics Sample Dataset (2016 Q4)

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