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Applied to online retail

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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Page 1: Tracking the Retail Customer Experience

Applied to online retail

Page 2: Tracking the Retail Customer Experience

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:

Page 3: Tracking the Retail Customer Experience

We Track

URLs Advertising Exposure Search Queries

The 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.

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Path to Purchase

To See Consumer Behavior

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  

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Example for Online Retail

I want to understand my online efforts to take 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?

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Us vs. Them

Filter on time period, exposure to certain

ads and various population segments

** 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

Compare web traffic of you versus competitors to see

effects of marketing campaigns.

High traffic, but did it lead to more purchases?

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Us vs. Them

More pages views, longer engagement translates to more sales opportunities

** 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

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Entry, Exit Paths

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

Email campaigns increase traffic, but by tracking urls, you can see who actually

bought a product (campaign effectiveness)

These are different product categories of a company. You can see what types of people

engage most with certain products

** 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

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Breakdown of Websites

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

** 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

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Funnels Connected to Sales

Dispatch page is usually the confirmation page. Since every url has unique characteristics,

we can recognize that the person bought a product

** 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

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Marketing Campaigns

HM.com VD

** 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

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

1 banner during month 105 banners during month

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Filter panelists on your preferred variables, whatever they are

All Sorts of Filters

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Get Behavior Level Understanding

Demographic Attitude/Behavior

Build personas based on actual behavior, not recalled behavior

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Simple Installation

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Utmost Security

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[email protected]

+31 6 11 91 22 46

@catchmikey

Thank You!