Tracking the Retail Customer Experience

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Hi everyone! Let's make research based on actual behavior as opposed to recalled behavior.

Publishers and researchers need high quality customer insights to make important decisions. This directly affects bottom line performance and ultimately what is attainable by companies. Working with online panels who are committed to providing valuable feedback and answers to questions, we track their entire web journey so you can understand how various consumer segments shop, how they interact with the competition and what drives interest.

Get in touch so we can speak more!
Thanks, Mike

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Tracking the Retail Customer Experience

  1. 1. Applied to online retail
  2. 2. 5 years experience tracking 100s of thousands of individuals in more than 20 countries with a user friendly dashboard for researchers.Researchers, publishers and companies using our technology:
  3. 3. We Track URLs Advertising Exposure Search QueriesThe tracker collects data about what consumers do online. It collects data about which articles a consumer has read, which products looked at or purchased, which search queries entered and also which ads the consumer has been exposed to.
  4. 4. To See Consumer Behavior Path to Purchase Customer Journeys Competitive Advantage…it’s  a  lot  of  data  collected,  but  we  offer  a  dashboard  that  makes  is  quick  to  produce   high-­‐quality  reports  that  target  bo<om  line  performance  
  5. 5. Example for Online RetailI want to understand my online efforts totake strategic decisions: •  How do we fair against the competition? •  Who are my preferred consumers (consumer engagement, segmentation) ? •  What advertising campaigns are most effective for me and the competition?
  6. 6. Us vs. Them** This is an example of retail shops (HM.com and VD.nl) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire web Filter on time period, exposure to certain ads and various population segments High traffic, but did it lead to more purchases? Compare web traffic of you versus competitors to see effects of marketing campaigns.
  7. 7. Us vs. Them** This is an example of retail shops (HM.com and VD.nl) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire webMore pages views, longerengagement translates to more sales opportunities
  8. 8. Entry, Exit Paths** This is an example of retail shops (HM.com and VD.nl) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire web See how people arrive to sites (path before) and what they do after certain events (path after) This is the click stream of an individuals These are different Email campaigns increase product categories of a traffic, but by tracking urls, company. You can see you can see who actually what types of people bought a product (campaign engage most with certain effectiveness) products
  9. 9. Breakdown of Websites** This is an example of retail shops (Wehkamp.nl) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire web Each box represents a different clothing category (pants, skirts, shoes, tshirts, .etc) You can get a clearer sense of amounts of content devoted to certain areas
  10. 10. Funnels Connected to Sales** This is an example of retail shops (Amazon) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire web Dispatch page is usually the confirmation page. Since every url has unique characteristics, we can recognize that the person bought a product
  11. 11. Marketing Campaigns ** This is an example of retail shops (HM.com and VD.nl) Data is collected from one of our tracker panels located in Netherlands. We can see what people do on the entire webHM.com 1 banner during month VD 105 banners during month VD definitely had many more banners that people were exposed to (impressions) and overall had more visitors to the website. However, the bounce rate was quite high at 50% and length of visit was half of hm.com. Why? Let’s learn more
  12. 12. All Sorts of FiltersFilter panelists on your preferred variables, whatever they are
  13. 13. Get Behavior Level Understanding Demographic Attitude/Behavior Build personas based on actual behavior, not recalled behavior
  14. 14. Simple Installation
  15. 15. Utmost Security
  16. 16. Thank You! michael@wakoopa.com +31 6 11 91 22 46 @catchmikey

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