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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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Applied to online retail
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:
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.
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
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?
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?
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
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
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
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
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
Filter panelists on your preferred variables, whatever they are
All Sorts of Filters
Get Behavior Level Understanding
Demographic Attitude/Behavior
Build personas based on actual behavior, not recalled behavior
Simple Installation
Utmost Security