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For Brands

Our network of Wakoopa data collectors gives you easy access to high quality behavioral data on a global scale. Get the full picture of your audience digital behavior, from clickstream and search terms, to purchase and e-commerce data.

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Wakoopa Network Capabilities

Deep Profiling

We possess in-depth and up-to-date information about our panelists, encompassing their sociodemographic profiles, shopping habits, travel preferences and patterns, leisure activities, and an extensive range of other variables.

Survey Capabilities

We specialize in developing fast, reliable, and flexible surveys that can be seamlessly accessed across multiple devices. Our programming capabilities encompass a wide range of advanced survey techniques, including maxdiff, conjoint analysis, and virtual shelf simulations.

Purchases & Ecommerce

Obtain detailed insights into purchases, products added to shopping carts, market shares, and delve into the e-commerce journey of our panelists, among other valuable data points.

Deliverables

Get detailed information about your target audience's online activity: the URLs and domains they have visited and how often, how they use apps, whether they browse from on desktop, smartphone, or tablet, etc.

Data Scheme (example)

Variable Description

panelist_id

Unique identifier user ID

url

Webpage

domain

Domain visited

subdomain

Subdomain visited

used_at

Date of the visit

duration

Time of the visit (seconds)

device_id

Unique identifier ID

app_name

Name of the app

Delivered in CSV file

Explore the information related to the keywords searched online: who searched and when? What keyword was searched for? In which search engine?

Data Scheme (example)

Variable Description

panelist_id

unique identifier user ID

url

webpage

domain

search browser used

term

search term

used_at

date of the visit

duration

time of the visit (seconds)

Over 15 data points collected in total. Delivered in CSV file

Get information on user activity within e-commerce sites, from adds to cart and the products purchased, local pricing and product categories, etc.

Data Scheme (example)

Variable Description

panelist id

Unique identifier user ID

day

Observation's day

time

Observations' time

channel_name

Retailer name

title

Title of product

price_local

Product price (local currency)

category_name

Name of product category

Over 20 data points collected in total. Delivered in CSV file

Available on desktop, Android mobile browser and In-app Android.

Measure the e-commerce of a country and get the answers to your questions: how much do my competitors sell online? What conversion rate do they have? What profile do my customers have?

Discover the key retailers for each product category and the competitive position of the different brands in each retailer.


Get closer to your main competitors like never before and obtain key data to improve your business.

Get KPIs such as:

  • Online market share
  • Category penetration and frequency
  • Conversion of visits
  • Composition of the online shopping cart by retailer (Average ticket, volume of units, composition by categories)
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