Table 34 - MerchantDefinedData (Cybersource)

Level of Relevance
1 - Relevant
2 - Very Relevant
3 - Extremely Relevant


Depending on the level of relevance of the fields and the possibility of designing the risk strategy according to your business needs, when validating test transactions, they will be charged if they are not sent. Therefore, we request a prior analysis of the documentation and flagging of the fields that cannot be sent.


If you do not have the data to send, please do not send the corresponding field as empty, that is, just do not send it.

Key

Value

Type

Relevance Level

Segment

1

Customer Logged In
If the end customer logged into the site to buy, send: their login
If they made the purchase as a visitor, send: Guest
If the sale was made directly by a third party, an agent for example, do not send the field

string

2

All

2

Number of days that the customer has been your customer
Ex.: 314

int

3

All

3

Number of installments for the order

int

3

All

4

Sales Channel
Possible values:
Call Center -> purchase by phone
Web -> purchase via the web
Portal -> an agent making the purchase for the customer
Kiosk -> purchases at kiosks
Mobile -> purchases made on cell phones or tablets

string

3

All

5

Send the coupon/discount code if the customer uses it in the purchase

string

1

All

6

Quantity in days since the last purchase made by the customer
Ex.: 55

int

3

All

7

Seller code or name

string

1

All

8

Attempts made by the customer to make payment for the same order, which may be with different credit cards and/or through other payment methods

int

2

All

9

Identifies whether the customer will pick up the product at the store
Possible values: YES or NO

string

3

Retail or Cosmetics

10

Identifies whether the payment will be made by someone other than the person present on the trip or package
Possible values: YES or NO

string

3

Air or Tourism

11

Hotel category (number of stars)
Possible values:
1 -> Simple
2 -> Economy
3 -> Tourism
4 -> Superior
5 -> Luxury

int

3

Tourism

12

Number of days from the date of purchase to the date of check-in at the hotel
Ex.: 123

int

3

Tourism

13

Number of nights at the hotel
Ex.: 5

int

3

Tourism

14

Trip or package category
Possible values: National or International or National/International

string

3

Air or Tourism

15

Name of the airline / car rental company / hotel
Send the name of each company, separated by /

string

2

Air or Tourism

16

PNR code of the reservation
When there is a change in the reservation for this PNR, with an advance of the flight date, it is important to perform a new fraud analysis by sending this PNR again

string

3

Air

17

Identifies if there was an advance reservation
Possible values: YES or NO
If yes, it is essential to also send field 16 - Reservation PNR code

string

3

Air

18

Rent vehicle category
Possible values:
1 - Basic
2 - Sports
3 - Prime
4 - Utility
5 - Armored

string

3

Tourism

19

Identifies whether the package includes a cruise
Possible values: YES or NO

string

2

Tourism

20

Decision of the fraud analysis regarding the last purchase
Possible values: ACCEPTED or REJECTED

string

3

All

21

Shipping cost
Ex.: 10599 = R$ 105.99

long

1

Retail or Cosmetics

22

Store code where the product will be picked up
This field must be sent when field 9 is sent equal to YES

string

3

Retail or Cosmetics

23

Credit card suffix (last 4 digits)

int

1

All

24

Number of days since the first purchase made by the customer
Ex.: 150

int

3

All

25

Customer gender
Possible values:
F -> Female
M -> Male

string

2

All

26

Credit card bin (first 6 digits)

int

1

All

27

Street type of delivery address
Possible values:
R -> Residential
C -> Commercial

string

2

All

28

Average time in minutes that the customer took to make the purchase

int

2

All

29

Number of attempts the customer made to log in

int

2

All

30

Number of web pages that the customer visited before the purchase in the last 30 minutes

int

2

All

31

Number of credit card number changes credit that the customer made to pay for the order

int

2

All

32

Identifies whether the email was pasted or typed
Possible values: Typed or Pasted

string

3

All

33

Identifies whether the credit card number was pasted or typed
Possible values: Typed or Pasted

string

3

All

34

Identifies whether the email was confirmed for account activation
Possible values: YES or NO

string

2

All

35

Identifies the type of customer
Possible values: Local or Tourist

string

2

Tourism

36

Identifies whether a gift card (GiftCard) was used in the purchase as a form of payment
Possible values: YES or NO

string

1

All

37

Method of shipping the order
Possible values: Sedex
Sedex 10
1 Day
2 Days
Motorcycle Courier
Same Day

string

3

Retail or Cosmetics

38

Customer's phone number identified by the bina when the sale is made through the sales channel equal to Call Center
Format: DDIDDDNumber - Ex.: 552121114720

string

3

All

39

Call Center Username
This field must be sent when field 4 is sent equal to Call Center

string

1

All

40

Comments inserted when order is present

string

1

All

41

Document type
Possible values: CPF or CNPJ or Passport

string

2

All

42

Customer age

int

2

All

43

Customer income range
Ex.: 100000 = R$ 1,000.00

long

2

All

44

Historical amount of purchases made by the customer

int

3

All

45

Identifies whether the purchase is made by an employee
Possible values: YES or NO

string

2

All

46

Printed name (holder) on the credit card

string

3

All

47

Identifies whether the card is private label
Possible values: YES or NO

string

2

All

48

Number of payment methods used to make the purchase

int

2

All

49

Average of purchases made in the last 6 months
Ex.: 159050 = r$ 1,590.99

long

3

All

50

Deviation factor of the current purchase value over the average of the last 6 months
Example format: 2.5 (no thousands separator, separate decimal with a period)

float

3

All

51

Identifies whether the customer is a VIP with differentiated risk treatment or positive list
Possible values: YES or NO

string

3

All

52

Product category
Possible values:
Animals and Pets
Clothing & Accessories
Business & Industry
Cameras & Optics
Electronics
Food, Beverages & Tobacco
Furniture
Tools
Health & Beauty
Home & Garden
Luggage & Bags
Adults
Guns & Ammunition
Office Supplies
Religion & Ceremonies
Software
Sports Equipment
Toys & Games
Vehicles & Parts
Books
DVDs & Videos
Magazines & Newspapers
Music
Other Unspecified Categories

string

2

All

53

Identifies whether there is a cell phone confirmation routine via SMS
Possible values: YES or NO

string

2

All

54

What is the 2nd form of payment

string

2

All

55

What is the 3rd form of payment

string

2

All

56

If the 2nd form of payment is credit card, send the brand

string

1

All

57

If the 3rd form of payment is credit card, send the brand

string

1

All

58

If the 2nd form of payment, inform the amount paid
Ex.: 128599 = R$ 1,285.99

long

2

All

59

If the 3rd form of payment, inform the amount paid
Ex.: 59089 = R$ 590.89

long

2

All

60

Number in days since the date of the last change
Ex.: 57

int

3

All

61

Identifies if there was a change in the registration

string

1

All

62

Number of points exchanged in the last purchase

long

3

Loyalty

63

Number of points remaining in the balance

long

2

Loyalty

64

Number of days since the last points exchange

long

2

Loyalty

65

Customer identifier in the loyalty program

string

2

Loyalty

66

Number of minutes recharged in the last 30 days

long

2

Digital Goods

67

Number of recharges made in the last 30 days

long

2

Digital Goods

68

Number in days between departure date and return date

int

2

Air

69

Number of passengers traveling regardless of age group

int

2

Air

70

Flight ID

string

1

Air

71

Number of infants traveling

int

2

Air

72

Number of children traveling

int

2

Air

73

Number of adults traveling

int

2

Air

74

Identifies whether you are a Frequent Flyer
Possible values: YES or NO

string

2

Air

75

Frequent Flyer Number

string

2

Air

76

Frequent Flyer Category
This category may vary by airline

int

2

Air

77

Day of the week of departure
Possible values: Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday

string

2

Air

78

Airline code
Ex.: JJ or LA or AA or UA or G3 etc

string

1

Air

79

Ticket fare class
Ex.: W or Y or N and etc

string

2

Air

80

Passenger's mobile phone number
Ex.: Format: DDIDDDNumber - Ex.: 5521976781114

string

2

Air

81

Identifies whether the credit card holder will travel
Possible values: YES or NO

string

3

Air

82

Identifies whether the seller will work with manual review or not
Possible values: YES or NO

string

1

All

83

Business segment
Ex.: Retail

string

2

All

84

Name of the platform integrated with the Braspag Antifraud Gateway API
If it is a direct integration between the store and Braspag, send a value equal to OWN

string

3

All

85 to 89

Free fields and fields defined with the antifraud provider, according to business rules

90 to 100

Reserved