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

1. Applied to online retail

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. 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.

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. 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?

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. 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
More pages views, longer
engagement translates to
more sales opportunities

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. 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. 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. 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 web
HM.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. All Sorts of Filters
Filter panelists on your
preferred variables,
whatever they are

13. Get Behavior Level Understanding
Demographic Attitude/Behavior
Build personas based on actual behavior, not recalled behavior

14. Simple Installation

15. Utmost Security

16. Thank You!
michael@wakoopa.com
+31 6 11 91 22 46
@catchmikey