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Digital Analytics for Retail Brent Dykes @analyticshero © iStockphoto / Thinkstock
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Ecommerce Trends in 2012? Mobile Personalization Social Product Experience © Thinkstock
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“What gets measured, gets managed.” Peter F. Drucker
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© Digital Vision / Thinkstock Digital Analytics Tools
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Retail Key Performance Indicators Orders Visits (or Visitors) Revenue Conversion Rate (Orders/Visits) Revenue per Visit (Revenue/Visits) Average Order Value (Revenue/Orders) © iStockphoto / Thinkstock
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1. Lack of clarity around key business objectives 2. Too much emphasis on reporting instead of analysis 3. Lack of process in handling reporting and analysis requests 4. Reactive with analytics instead of being proactive 5. Paralysis caused by the need for perfect data 6. Not slowing down to understand, fix, or enrich the data 7. Expecting the data to do things it wasn’t intended to do 8. Chasing shiny objects instead of focusing on the fundamentals Top Digital Analytics Mistakes in Retail © Thinkstock
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Disciplined. © iStockphoto / Thinkstock
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Undisciplined. © Digital Vision / Thinkstock
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Stuck in Setupland? © Web Analytics Action Hero
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Analysis is Your Ticket to Actionland © Web Analytics Action Hero
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© iStockphoto / Thinkstock
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Revenue Orders Visits Brows e Search Product Details Checkou t Segmentation Acquisition Landing Pages Device © Thinkstock
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Revenue Orders Visits Brows e Search Product Details Checkou t Segmentation Acquisition Landing Pages Device © Thinkstock
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Landing Page Analysis Single-Page Visits / Entries Lonely metric Supporting metrics Business context KPIs © iStockphoto / Thinkstock
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Testing Above the fold? Heatmap? Referrers? Campaigns? Keywords? Paths? Visitor segments? Landing Page Analysis: Deeper Dive
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Landing Page Analysis 1 Uncork the bottleneck s Scratch beyond the surface 2 Don’t forget the landing page’s objective 3
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Revenue Orders Visits Brows e Search Product Details Checkou t Segmentation Acquisition Landing Pages Device © Thinkstock
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Internal Search Analysis Null Searches Biggest Gainers Search Conversion search term
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Internal Search Analysis: Null Searches Not carried Misspelling International Not indexed Indexing update Merchandise opportunities © iStockphoto / Thinkstock
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Internal Search Analysis: Biggest Gainers Current Time Period Previous Time Period Spot new trends and opportunities Adjust promotions Address campaign and site issues
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Internal Search Analysis: Search Conversion
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Referral source? Search refinements? Path to results page? Path from results page? Products viewed? Products added to cart? Products purchased? Internal Search Analysis: Search Conversion Number of results? Relevance (sort order)? Selection? Product image quality? Availability (in-stock)? Ratings? Refinement options? Promotions? patagonia Volume: High Conversion: Low 1 Identify under- performer 2 Evaluate search results page 3 Compare against high- performers 4 Explore search segments
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Revenue Orders Visits Brows e Search Product Details Checkou t Segmentation Acquisition Landing Pages Device © Thinkstock
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Orders Visits Product Views Cart Adds Product Analysis: Key Steps
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Product Analysis: Top Products
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Price? Images? Description? Options? Availability? Promotions? Rating? Rich media? Related products? Wish list / social sharing? Shipping time? Shipping cost? Shipping method? Cross-sell? Promotions? Inconsistency?
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Product Analysis: Scatterplot Conversion Rate 0.50% 0.75% 1.00% 1.25% 1.50% 1.75% 2.00% 50,000100,000150,000200,000250,000300,000 Product Views More exposure? Better Conversion? © iStockphoto / Hemera / Thinkstock
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"The price of light is less than the cost of darkness." Arthur C. Nielsen © iStockphoto / Thinkstock
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0111 1001110101 Questions? Brent Dykes @analyticshero bdykes@adobe.com © Hemera / Thinkstock
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