MOBILE DATA ANALYTICS
Mobile Analytics is
a technique used to collect from numerous sources or feeds raw data (generated from the
history of shoppers,
purchases, mobile phone details, payment details, transaction history, location
of purchases, store inventory etc.,)
and then filtering and analyzing that raw data to look for valuable nuggets of
"raw information" that can be correlated into "intelligent information".
We then take this "intelligent information" and
create comprehensive
hyper-targeted "shopper
profiles" that are very detailed into the users past behavior and
transaction history.
We then use this past behavior history of the user to accurately predict their future
behavior.
By utilizing predictive mobile
data analytics we can take these comprehensive and detailed "user profiles"
and utilize them to create more efficient retailer strategies, product launches,
couponing campaigns by aligning the merchant strategy and actions against the predicted user behavior. This
will allow
retailers to decrease operational costs and increase
profit margins.
Below is a simple overview of how the process works.
If you
have any questions, please contact us anytime
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