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Data graph
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Data graph
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Data graph
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
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Customer Sign Up / Social Analytics

CROWD’S powerful data metrics provides retailers with a
rich data lake of information. For every log-in method 
CROWD allows you to distinguish between new and repeat customers 
allowing you to display this information for each store for various time 
intervals, hourly, daily, weekly, quarterly and much more.

CROWD also allows for social log-in enabling you to distinguish between all end
 user accounts providing a retailer with a comprehensive set of social analytics. 
This allows analysis of user data & behaviours whilst given the retailer massive 
brand exposure using information gathered from the customer social network.


CROWD allows for the following login methods:

  • Click-through
  • Facebook
  • LinkedIn
  • Twitter
  • Google
  • Vkontakte
Users
Users
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Demographic & Social Data

Empower your marketing teams with CROWD’s metrics, which provides retailers with an astonishing array of demographic
data, allowing retailers to profile customers to enable more effective
marketing, point of sale, campaigns and promotions. CROWD data provides
detail on gender & age group profiles with distribution detail locally, regionally 
and nationally. This detail can also be segmented in various intervals, hourly, daily
weekly, monthly with various other options.

  • Yesterday
  • Last seven days
  • Current month
  • Last month
  • Current year
  • Last year
  • Custom range (that is any time interval selected by the system)

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Customer Traffic

Know with certainty which stores are performing and why. Empower your operational and marketing people with valuable data about store performance and customer engagement with big data analytics that makes the difference.

CROWD has a multitude of data analytics to enable a retailer to measure
store performance using traffic analysis. CROWD can pinpoint the behaviour of end-users on a daily, weekly or monthly basis, providing graphical detail of user impressions.

Here are a few examples of what data is available via CROWD.


Find out

  • The total number of impressions of end-users.
  • New users: the total number of customer registrations
  • Online users: the total number of online end-users.
  • Sessions: the total number of end-users sessions/ shopper sessions.
  • Real users: the total number of end-users who performed at least one log-in session

These are just a few examples of the power of CROWD data.

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Customer Loyalty Data

Measure new customers versus repeat customers for each store at any time and compare stores or regions.
This is just one element of the customer loyalty data CROWD identifies.

CROWD has a multitude of data analytics to enable a retailer to measure
store performance using traffic analysis. CROWD can pinpoint the behaviour of
end-users on a daily, weekly or monthly basis, providing graphical detail of
user impressions.

For instance CROWD can provide you with:

  • The total number of impressions of end-users.
  • New users: the total number of end-users registrations.
  • Online users: the total number of online end-users.
  • Sessions: the total number of end-users sessions.
  • Real users: the total number of end-users who performed at least one session
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Customer Engagement

CROWD has been developed to engaged your customers, build loyalty and increase your brand reach.
Our Big Data platform allows you to measure this engagement to allow you to develop as a business.
CROWD data allows for the measurement of online engagement with session time statistical analysis available. This data provides information about end-user activities via a range of easy to read charts, giving you the right people in your organisation powerful information relevant to their job role when they need it most. A wide range of data metrics are available measuring time interval sessions in mins or more

  • 60 mins or more
  • 45-60 mins
  • 30-45 mins
  • 15-30 mins
  • 15 mins or less
  • Less than 5 minutes

As per all CROWD data it is possible to measure customer engagement across various Interval times. Further data available allows for trend analysis within any given store. This allows for strategic analysis of customer engagement across stores singularly, by region or nationally for any given time period. Allowing you to benchmark and measure your business performance accurately across any period.

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Customer Distribution Data

Want to know more about your customers, how long they have been in your stores and when?
This is just a small sample of the customer distribution data CROWD provides.

CROWD gives you with behavioural information about
customers engagement distribution activity so you can analyse
which stores are busy and when.

The data can also tell you specific times in the day customers are engaged
working alongside the comprehensive footfall data information that comes as
standard with the CROWD solution.

More precisely, the following information is provided in stacked column charts

  • Impressions: the total number of impressions of end-users.
  • New users: the total number of end-users registrations.
  • Online users: the total number of online end-users.
  • Sessions: the total number of end-users sessions.
  • Real users: the total number of end-users who performed at least
    one login.

The CROWD data lake provides the most comprehensive set of analytics
on the market, so why not make contact right now?

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