Purchase summary

Indian consumer behavior Consumer Purchasing

Anonymized data solution extracts comprehensive 360 degrees of Indian consumer behavior data in real-world which includes consumer eating preferences, shopping preferences, commercial places visited, time spent on a variety of financial, health and interest activities etc, - along​​with​​financial​​scores,​​transactions​​&​​location​​data.

 

Data​​and​​people​​intelligence​​is​​derived​​based​​on​​the​​following​​components:

      Mobile​​and​​User​​Identity​​parameters

      SMS​​​​Transactional​​&​​Promotional​​SMS​​​(Patents​​pending)

 

      Location​​Data​​of​​Users

 

      Indoor​​Positioning​​of​​a​​place​​(Patent-Pending)

 

Data combines location technology with patent-pending user profile insights based on reading commercial SMS transactions of a user. These SMS transactions act as feeders for user profile in​​the​​real-world​​as​​well​​as​​important​​feedback​​loops​​for​​other​​profile​​attributes

 

Currently 1.5 million unique ID users’ data is collected with corresponding transactions and location data on a daily basis and aggregated on a weekly frequency. Data is collected from beginning​​of​​July​​of​​2017​​and​​is​​expected​​to​​grow​​to​​5​​million​​unique​​ID​​users​​by​​end​​of​​2017.

 

Data is collected via SDK or through a server transfer and is updated in real time and can be provided​​to​​an​​end​​client​​in​​its​​raw​​format​​via​​S2S​​or​​batch​​upload.

 

Derived​​insights​​are​​based​​on​​authentic​​transaction​​data​​of​​the​​user​​with​​no​​ambiguity.

 

All data collected is compliant with Information Technology Acts of India and has explicit user consent​​as​​well​​as​​security​​and​​data​​privacy​​safeguards.


 

 

 

Database​ ​details

 

 

 

 

 

 

 

 

 

Field​​Name

 

 

Field​​Description

 

 

 

 

 

 

 

 

 

User_id

 

 

Unique​​id​​of​​the​​user

 

Unique_devices

 

 

Number​​of​​total​​devices​​for​​each​​month​​after​​removing duplicates

 

Fuel_station

 

 

Fuel​​Station​​name​​where​​fuel​​was​​filled​​in.​​Ex​​​​Shell,​​IOCL

 

Online_store

 

 

Name​​of​​online​​ecommerce​​store​​where​​transaction​​was​​performed.

 

 

 

 

 

Ex​​​​Amazon,​​Flipkart

 

Debit_card_vendors

 

 

Bank​​Name​​of​​Debit​​Card​​Provider.​​Ex​​​​ICICI,​​SBI

 

Credit_card_vendors

 

 

Bank​​Name​​of​​Credit​​Card​​Provider.​​Ex​​​​ICICI,​​SBI

 

Cab_provider

 

 

Name​​of​​cab​​company​​where​​transaction​​was​​performed.​​Ex​​​​UBER

 

 

 

 

 

OLA

 

Online_product_purchased

 

 

Products​​purchased​​from​​the​​online​​ecommerce​​store.

 

Loan_type

 

 

Type​​of​​Loan.​​Ex​​​​Housing,​​Car

 

Train_travel_source

 

 

Boarding​​Place​​Name​​if​​the​​transaction​​was​​train​​travel

 

Train_travle_destination

 

 

Destination​​place​​if​​train​​travel

 

Place_name

 

 

Name​​of​​the​​place​​where​​transaction​​was​​performed

 

Category_of_place

 

 

Category​​of​​the​​place​​where​​transaction​​was​​performed.​​Ex​​​​Super-

 

 

 

 

 

Market,​​Petrol​​Bunk

 

Transaction_type

 

 

Type​​of​​transaction​​indicating​​if​​it​​was​​an​​online​​or​​in-store​​transaction

 

Vechicle_owned

 

 

User​​Vehicle.​​Ex​​​​Car,​​Bike

 

City

 

 

Name​​of​​the​​city

 

Latitude_longitude

 

 

Latitude,​​Longitude​​of​​the​​place.

 

Location_points_user

 

 

Average​​number​​of​​location​​(latlong)​​data​​points​​sent​​per​​user​​for

 

 

 

 

 

the month

 

 

 

 

 

 

 

 

User_Active_Days_

 

 

Average​​number​​of​​days​​each​​user​​is​​active​​throughout​​the month

 

Avg_Daily_Uniques

 

 

Average​​amount​​of​​unique​​devices​​seen​​each​​day​​throughout​​the​​month

 

Avg_user_data_points

 

 

Average​​number​​of​​data​​points​​sent​​per​​user​​for​​the month

 

Geo_breakdown

 

 

Visualization​​of​​where​​app​​location​​data​​is​​originating from


 

Confidentiality​​Notice

 

The​​material​​contained​​herein,​​including​​but​​not​​limited​​to​​all​​software,​​design,​​drawings, technical​​specifications​​and​​other​​confidential​​information​​(”Material”),​​is​​the​​exclusive​​property of​​q​Data​​Exchange​​(“q”)​​and​​its​​suppliers.​​The​​Material​​is​​classified​​as​​strictly​​confidential,​​and is​​internationally​​protected​​by​​copyright,​​trademark​​and​​other​​related​​laws.​​The​​Material​​is provided​​to​​you​​for​​internal​​use​​only​​and​​shall​​only​​be​​used​​as​​expressly​​instructed​​by​​q.​​Any copying,​​reproduction,​​modification​​or​​distribution​​not​​in​​accordance​​with​​an​​express​​written agreement​​with​​q​is​​expressly​​prohibited,​​and​​may​​result​​in​​significant​​civil​​damages​​and/or criminal​​penalties.​​q​actively​​and​​aggressively​​enforces​​its​​intellectual​​property​​rights​​to​​the fullest​​extent​​of​​the​​law.​​The​​depicted​​third​​party​​services​​are​​only​​for​​illustrative​​purposes​​to show​​how​​potential​​services​​might​​look​​on​​a​platform​​or​​device.​​Any​​such​​illustration​​does​​not imply​​any​​existing​​or​​anticipated​​relationship​​between​​q​and​​any​​content​​owner​​or​​service provider.

 

 

 

For​​more​​information​​please​​contact​​us​​at​​​contact@q-dx.com

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