Email insights is a collection of email address attributes that can be used in different configurations to assess risk with a specific email address. Since email addresses are used as a primary identity source in online transactions, evaluating the risk associated with an email address can assist in stopping fraud. These attributes are available to configure standalone, or in conjunction with other rules in the Kount Agent Web Console (AWC).
Creating a Rule incorporating Email Insights
Note: The actions in this step apply to both the Auto Decision Engine (ADE) and the Auto Agent (AA) rules editors.
 Log into the Kount AWC.
 From the top navigation bar, click the Fraud Control tab, and then click Rules.
 Click Add Rule to open the Rules Editor.
 From the Rules Editor, click the Apply the following decision to the transaction when the conditions are met dropdown menu and select an action to be applied when the rule is triggered.
 Under Rule Conditions, expand Order, and then expand Email Insights.
 The attributes for Email Insights are split into two categories: Basic and Advanced. Expand your desired category, and then choose an attribute (a breakdown of each feature is provided below).
 In the Condition Editor, select an operator from the dropdown menu, and then in the text box enter your desired condition numeric value.
Note: All features in Email Insights use a numeric value (integer or floating decimal).  Under Rule Actions in the bottom left corner, next to Rule is , select or clear the Disabled checkbox (depending on whether or not you want the rule to be enabled), and then select or clear the Important checkbox (depending on whether you want to give this rule special preference in the hierarchy of rules).
 In the Rule Description field, enter a description for your rule.
 If desired, repeat these steps to add additional features to your rule, and then click Create Rule.
Email Insight Attribute Details
All Email Insight attributes are listed here with details about availability in the rules engine, category designation, data type (with range), starting suggestions, and definitions.
Note: Any rules listed as not available in the Rule Engine are available with Data on Demand.
Email Insight Attribute Details Table
Attribute  Requires Historical Data  In Rule Engine  Complexity (submenu)  Data Type (Integer or Floating Decimal)  Input Range  Definition 
average_average_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the average cost the cart for each transaction associated with this email address. What is the average value of that list?

average_average_item_cost_of_cart  Yes  Yes  Advanced  float  0.0  1.0 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the average cost the cart for each transaction associated with this email address. What is the average value of that list?

average_cart_size  Yes  Yes  Basic  float  0.0+ 
What is the average number of line items in the cart across all transactions associated with this email? (Quantity is conserved – a line item with a quantity of two will be treated as two total items)

average_dollar_amount  Yes  Yes  Basic  float  0.0+ 
What is the average dollar amount of all transactions ever seen from this email?

average_stdev_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the average value in that list?

average_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the average cost the cart for each transaction associated with this email address. What is the average of that list?

bill_email  No  No    string   
What is the billing email address associated with the transaction? This is the identity key we are looking up, and all other features are gathered based on this key.

chargebacks  Yes  Yes  Basic  int  0+ 
How many chargebacks have we ever seen for transactions associated with this email?

date_first_seen  Yes  Yes  Advanced  timestamp (int)  0+ 
What is the timestamp (epoch time) of the latest transaction we have seen from this email address (according to Pacific Time)?

date_last_seen  Yes  Yes  Advanced  timestamp (int)  0+ 
What is the timestamp (epoch time) of the latest transaction we have seen from this email address (according to Pacific Time)?

declines_agent (rename from agent_declines)  Yes  Yes  Basic  int  0+ 
How many fraud agent declines (following review) have we ever seen for transactions associated with this email?

declines_auth (rename from auth_declines)  Yes  Yes  Basic  int  0+ 
How many payment token authentication declines (from the bank) have we ever seen for transactions associated with this email?

declines_rule (rename from rule_declines)  Yes  Yes  Basic  int  0+ 
How many declines based on any merchant's ruleset have we ever seen for transactions associated with this email?

distinct_bill_addresses  Yes  Yes  Basic  int  0+ 
How many distinct billing addresses (address1) have we ever seen associated with this email address?

distinct_bill_cities  Yes  Yes  Basic  int  0+ 
How many distinct billing cities have we ever seen associated with this email address?

distinct_bill_country_codes  Yes  Yes  Basic  int  0+ 
How many distinct country codes have we ever seen associated with this email address?

distinct_bill_names  Yes  Yes  Basic  int  0+ 
How many distinct billing names have we ever seen associated with this email address?

distinct_bill_postal_codes  Yes  Yes  Basic  int  0+ 
How many distinct billing postal codes have we ever seen associated with this email address?

distinct_bill_states  Yes  Yes  Basic  int  0+ 
How many distinct billing states have we ever seen associated with this email address?

distinct_bins  Yes  Yes  Basic  int  0+ 
How many distinct bank identification numbers have we ever seen associated with this email address?

distinct_currencies  Yes  Yes  Basic  int  0+ 
How many distinct payment currencies have we ever seen associated with this email address?

distinct_dates  Yes  Yes  Basic  int  0+ 
How many distinct dates (365 possible options each year) did we see a transaction associated with this email?

distinct_days  Yes  Yes  Advanced  int  0+ 
How many distinct days of the week (7 possible options) did we see a transaction associated with this email?

distinct_dollar_amounts  Yes  Yes  Basic  int  0+ 
How many distinct dollar amounts have we seen for transactions associated with this email?

distinct_ipads  Yes  Yes  Basic  int  0+ 
How many distinct IP addresses have we ever seen associated with this email address?

distinct_last4  Yes  Yes  Advanced  int  0+ 
How many distinct "last 4 values of the payment token have we ever seen associated with this email address?"

distinct_lat_lon  Yes  No    int  0+ 
How many distinct device locations (within 10m of precision) have we ever seen associated with this email address?

distinct_merchants (rename from distinct_merchant_ids)  Yes  Yes  Basic  int  0+ 
How many distinct merchant IDs have we ever seen associated with this email address?

distinct_months  Yes  Yes  Basic  int  0+ 
How many distinct months (52 possible options each year) did we see a transaction associated with this email?

distinct_payment_types  Yes  Yes  Basic  int  0+ 
How many distinct payment types have we ever seen associated with this email address?

distinct_ptoks  Yes  Yes  Advanced  int  0+ 
How many distinct payment tokens have we ever seen associated with this email address?

distinct_quarters  Yes  Yes  Basic  int  0+ 
How many distinct quarters of the year (4 possible options) did we see a transaction associated with this email?

distinct_ship_addresses  Yes  Yes  Basic  int  0+ 
How many distinct ship addresses have we ever seen associated with this email address?

distinct_ship_cities  Yes  Yes  Basic  int  0+ 
How many distinct ship cities have we ever seen associated with this email address?

distinct_ship_country_codes  Yes  Yes  Basic  int  0+ 
How many distinct ship country codes have we ever seen associated with this email address?

distinct_ship_emails  Yes  Yes  Basic  int  0+ 
How many distinct ship emails have we ever seen associated with this email address?

distinct_ship_names  Yes  Yes  Basic  int  0+ 
How many distinct ship names have we ever seen associated with this email address?

distinct_ship_postal_codes  Yes  Yes  Basic  int  0+ 
How many distinct ship postal codes have we ever seen associated with this email address?

distinct_ship_states  Yes  Yes  Basic  int  0+ 
How many distinct ship states have we ever seen associated with this email address?

distinct_weeks  Yes  Yes  Basic  int  0+ 
How many distinct weeks (52 possible options each year) did we see a transaction associated with this email?

distinct_years  Yes  Yes  Basic  int  0+ 
How many distinct years did we see a transaction associated with this email?

email_illegitimacy_score  No  Yes  Basic  float  0.0  1.0 
Based on the contents of the email username, how likely is this a real, nonrandomlygenerated or otherwise synthesized email address? 0.0  1.0 (equation). 1.0 is a less legitimate email than 0.0. Note that previous transaction history is not taken into account – only the contents of the email username.

email_length  No  Yes  Basic  int  0+ 
How many characters are there in the email address (including domain)?

email_username_length  No  Yes  Basic  int  0+ 
How many characters are there in the email address (excluding domain)?

emaillocated  No  No    boolean  0, 1 
Has this email address been seen at any point in time somewhere in the Identity Trust Global Network before this transaction?

fewest_unique_items_in_cart  Yes  Yes  Advanced  int  0+ 
What is the smallest number of unique items seen in a single cart from all transactions associated with this email address?

largest_average_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the average cost the cart for each transaction associated with this email address. What is the largest value in that list?

largest_average_item_cost_of_cart  Yes  Yes  Advanced  float  0.0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the average cost the cart for each transaction associated with this email address. What is the largest value of that list?

largest_cart_size  Yes  Yes  Advanced  int  0+ 
What is the largest number of items in the cart across all transactions associated with this email? (Quantity is conserved – a line item with a quantity of two will be treated as two total items)

largest_stdev_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the largest value in that list?

largest_stdev_item_cost_of_cart  Yes  Yes  Advanced  float  0.0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the largest value in that list?

least_expensive_item_bought_cost  Yes  Yes  Advanced  float  0.0+ 
What is the price of the least expensive item ever bought from this email address?

max_dollar_amount  Yes  Yes  Advanced  float  0.0+ 
What is the maximum dollar amount of all transactions ever seen from this email?

max_omniscore  Yes  Yes  Advanced  float  0.0  100.0 
What is the maximum (transformed) Omniscore over all transactions associated with this email?

mean_omniscore  Yes  Yes  Basic  float  0.0  100.0 
What is the mean (transformed) Omniscore over all transactions associated with this email?

min_dollar_amount  Yes  Yes  Advanced  float  0.0+ 
What is the minimum dollar amount of all transactions ever seen from this email?

min_omniscore  Yes  Yes  Advanced  float  0.0  100.0 
What is the minimum (transformed) Omniscore over all transactions associated with this email?

most_common_cart_size  Yes  No    int  0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), what is the most common cart size seen across all transactions associated with this email address?

most_common_dollar_amount  Yes  No    float  0.0+ 
What is the most common dollar amount spent across all transactions associated with this email address?

most_common_merchant  Yes  No    int  0+ 
What is the most common merchant ID seen across all transactions associated with this email address?

most_common_payment_type  Yes  No    int  0+ 
What is the most common payment type (mapped to an integer) seen across all transactions associated with this email address?

most_common_unique_items_in_cart  Yes  No    int  0+ 
Considering only the unique items in the cart (i.e. pretending that the quantity of all line items is 1), what is the most common cart size seen across all transactions associated with this email address?

most_expensive_item_bought_cost  Yes  Yes  Advanced  float  0.0+ 
What is the price of the most expensive item ever bought from this email address?

most_unique_items_in_cart  Yes  Yes  Advanced  int  0+ 
What is the largest number of unique items seen in a single cart from all transactions associated with this email address?

occurence_30_days  Yes  Yes  Basic  int  0+ 
How many times have we seen this email in the last 30 days?

occurence_weekday  Yes  Yes  Advanced  int  0+ 
How many transactions seen from this email address occurred during a weekday (according to Pacific Time)?

occurence_weekend  Yes  Yes  Advanced  int  0+ 
How many transactions seen from this email address occurred during the weekend (according to Pacific Time)?

occurrence  No (Can be zero)  Yes  Basic  int  0+ 
How many transactions have we ever seen associated with this email address?

occurrence_most_common_amount  Yes  Yes  Basic  int  0+ 
How many transactions associated with this email cost the same as the "most common amount seen across all transactions?"

occurrence_most_common_bill_address  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a billing address the same as the "most common billing address seen across all transactions? Note that "address" in this case is "address1"."

occurrence_most_common_bill_city  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a billing city the same as the "most common billing city seen across all transactions?"

occurrence_most_common_bill_country_code  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a country code the same as the "most common country code seen across all transactions?"

occurrence_most_common_bill_postal_code  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a billing postal code the same as the "most common billing postal code seen across all transactions?"

occurrence_most_common_bill_state  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a billing state the same as the "most common billing state seen across all transactions?"

occurrence_most_common_bin  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a bank identification number the same as the "most common ship bank identification number seen across all transactions?"

occurrence_most_common_currency  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a currency the same as the "most common currency seen across all transactions?"

occurrence_most_common_ipad  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had an IP address the same as the "most common IP address seen across all transactions?"

occurrence_most_common_last4  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had the 4 final digits of the payment token that were the same as the "most common 4 final digits of the payment token seen across all transactions?"

occurrence_most_common_lat_lon  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a device location that was the same as the "most common device location seen across all transactions?"

occurrence_most_common_merchant  Yes  No    int  0+ 
How many transactions associated with this email address were at a merchant ID the same as the "most common merchant seen across all transactions?"

occurrence_most_common_merchant_id  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email were from the same merchant as the "most common merchant id seen across all transactions?"

occurrence_most_common_name  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a billing name the same as the "most common billing name seen across all transactions?"

occurrence_most_common_payment_type  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a payment types that was the same as the "most common payment type seen across all transactions?"

occurrence_most_common_ptok  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a payment token the same as the "most common payment token seen across all transactions?"

occurrence_most_common_ship_address  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a ship address the same as the "most common ship address seen across all transactions? Note that "address" in this case is "address1"."

occurrence_most_common_ship_city  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a ship city the same as the "most common ship city seen across all transactions?"

occurrence_most_common_ship_country_code  Yes  Yes  Advanced  int  0+ 
What proportion of the total transactions associated with this email had a ship country code the same as the "most common ship country code seen across all transactions?"

occurrence_most_common_ship_email  Yes  Yes  Advanced  int  0+ 
What proportion of the total transactions associated with this email had a ship email address the same as the "most common ship email address seen across all transactions?"

occurrence_most_common_ship_name  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a ship name the same as the "most common ship name seen across all transactions?"

occurrence_most_common_ship_postal_code  Yes  Yes  Advanced  int  0+ 
How many transactions associated with this email had a ship postal code the same as the "most common ship postal code seen across all transactions?"

occurrence_most_common_ship_state  Yes  Yes  Advanced  int  0+ 
What proportion of the total transactions associated with this email had a ship state the same as the "most common ship state seen across all transactions?"

proportion_bill_zip_code_contained  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the "most common billing postal code seen across all transactions associated with this email is contained in the email username?"

proportion_bottomrow_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a bottom row character (Z, X, C, V, B, N, M)?

proportion_bottomrow_to_consonant_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) in the email username?

proportion_bottomrow_to_digit_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_bottomrow_to_hex_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of hexadecimal characters (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) in the email username?

proportion_bottomrow_to_homerow_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of home row characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_bottomrow_to_n_unique_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of unique characters in the email username?

proportion_bottomrow_to_other_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of nonalphanumeric characters in the email username?

proportion_bottomrow_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_bottomrow_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of bottom row characters (Z, X, C, V, B, N, M) divided by the proportion of vowel characters (A, E, I, O, U) in the email username?

proportion_consonant_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a consonant character (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z)?

proportion_consonant_to_digit_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) in the email username?

proportion_consonant_to_hex_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters in the email username?

proportion_consonant_to_homerow_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) characters divided by the proportion of home row characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_consonant_to_n_unique_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of unique characters in the email username?

proportion_consonant_to_other_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of nonalphanumeric characters in the email username?

proportion_consonant_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_consonant_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of consonants (B, C, D, F, G, H, J, K, L, M, N, P, Q, R, S, T, V, W, X, Y, Z) divided by the proportion of vowel characters (A, E, I, O, U) in the email username? (Note: This is unlike the other crossterms in that it is simple to understand and makes sense to include explicitly as well as in the illegitimacy score)

proportion_digit_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a digit (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)?

proportion_digit_to_hex_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of hexadecimal characters (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) in the email username?

proportion_digit_to_homerow_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of home row characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_digit_to_n_unique_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of unique characters in the email username?

proportion_digit_to_other_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of nonalphanumeric characters in the email username?

proportion_digit_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_digit_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of digits (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) divided by the proportion of vowel characters (A, E, I, O, U) in the email username?

proportion_first_bill_name_contained  Yes  Yes  Basic  float  0.0  1.0 
What proportion of the first part (before the first space) of the "most common billing name seen across all transactions associated with this email is contained in the email username?"

proportion_first_ship_name_contained  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the first part (before the first space) of the "most common ship name seen across all transactions associated with this email is contained in the email username?"

proportion_hex_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a hexadecimal character (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F)?

proportion_hex_to_homerow_characters  No  No    float  0.0  1.0 
What is the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters divided by the proportion of home row characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_hex_to_homerow_characters  No  No    float  0.0+ 
What is the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters divided by the proportion of homerow characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_hex_to_n_unique_characters  No  No    float  0.0+ 
What is the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters divided by the proportion of unique characters in the email username?

proportion_hex_to_other_characters  No  No    float  0.0+ 
What is the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters divided by the proportion of nonalphanumeric characters in the email username?

proportion_hex_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of hexadecimal (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) characters divided by the proportion of toprow characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_hex_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of hexidecimal characters (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) divided by the proportion of vowels (A, E, I, O, U) in the email username?

proportion_homerow_characters  No  Yes  Advanced  float  0.0  1.0 
What is the proportion of homerow characters (A, S, D, F, G, H, J, K, L) in the email username?

proportion_homerow_to_n_unique_characters  No  No    float  0.0+ 
What is the proportion of homerow characters (A, S, D, F, G, H, J, K, L) divided by the proportion of unique characters in the email username?

proportion_homerow_to_other_characters  No  No    float  0.0+ 
What is the proportion of homerow characters (A, S, D, F, G, H, J, K, L) divided by the proportion of nonalphanumeric characters in the email username?

proportion_homerow_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of home row characters (A, S, D, F, G, H, J, K, L) divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_homerow_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of home row characters (A, S, D, F, G, H, J, K, L) divided by the proportion of vowel characters (A, E, I, O, U) in the email username?

proportion_last_bill_name_contained  Yes  Yes  Basic  float  0.0  1.0 
What proportion of the last part (after the first space) of the "most common billing name seen across all transactions associated with this email is contained in the email username?"

proportion_last_ship_name_contained  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the first part (after the first space) of the "most common ship name seen across all transactions associated with this email is contained in the email username?"

proportion_n_unique_characters  No  Yes  Advanced  float  0.0  1.0 
What is the proportion of unique characters in the email username?

proportion_n_unique_to_other_characters  No  No    float  0.0+ 
What is the proportion of unique characters divided by the proportion of nonalphanumeric characters in the email username?

proportion_n_unique_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of unique characters divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_n_unique_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of unique characters divided by the proportion of vowels (A, E, I, O, U) in the email username?

proportion_other_characters  No  No    float  0.0+ 
What proportion of the email username is a nonalphanumeric character?

proportion_other_to_toprow_characters  No  No    float  0.0+ 
What is the proportion of nonalphanumeric characters divided by the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) in the email username?

proportion_other_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of nonalphanumeric characters divided by the proportion of vowels (A, E, I, O, U) in the email username?

proportion_ship_zip_code_contained  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the "most common ship postal code seen across all transactions associated with this email is contained in the email username?"

proportion_toprow_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a top row character (Q, W, E, R, T, Y, U, I, O, P)?

proportion_toprow_to_vowel_characters  No  No    float  0.0+ 
What is the proportion of top row characters (Q, W, E, R, T, Y, U, I, O, P) divided by the proportion of vowel characters (A, E, I, O, U) in the email username?

proportion_vowel_characters  No  Yes  Advanced  float  0.0  1.0 
What proportion of the email username is a vowel character (A, E, I, O, U)?

proportion_weekday  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email took place during a weekday (according to Pacific Time)?

proportion_weekend  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email took place during a weekend (according to Pacific Time)?

proportional_occurrence_most_common_amount  Yes  Yes  Basic  float  0.0  1.0 
What proportion of the total transactions associated with this email cost the same as the "most common amount seen across all transactions? (High probability that an email address is "buying the same kind of thing")"

proportional_occurrence_most_common_bill_address  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing address (address1) that was the same as the "most common billing address seen across all transactions?"

proportional_occurrence_most_common_bill_city  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing city the same as the "most common billing city seen across all transactions?"

proportional_occurrence_most_common_bill_country_code  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing country code the same as the "most common billing country code seen across all transactions?"

proportional_occurrence_most_common_bill_postal_code  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing postal code the same as the "most common billing postal code seen across all transactions?"

proportional_occurrence_most_common_bill_state  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing state the same as the "most common billing state seen across all transactions?"

proportional_occurrence_most_common_bin  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a bank identification number the same as the "most common ship bank identification number seen across all transactions?"

proportional_occurrence_most_common_currency  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a payment currency that was the same as the "most common payment currency seen across all transactions?"

proportional_occurrence_most_common_ipad  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had an IP address that was the same as the "most common IP address seen across all transactions?"

proportional_occurrence_most_common_last4  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had the 4 final digits of the payment token that were the same as the "most common 4 final digits of the payment token seen across all transactions?"

proportional_occurrence_most_common_lat_lon  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a device location that was the same as the "most common device location seen across all transactions?"

proportional_occurrence_most_common_merchant  Yes  No    float  0.01.0 
What proportion of the total transactions associated with this email had a merchant ID that was the same as the "most common merchant seen across all transactions?"

proportional_occurrence_most_common_merchant_id  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a merchant ID the same as the "most common merchant ID seen across all transactions?"

proportional_occurrence_most_common_name  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a billing name the same as the "most common billing name seen across all transactions?"

proportional_occurrence_most_common_payment_type  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a payment type the same as the "most common payment type seen across all transactions?"

proportional_occurrence_most_common_ptok  Yes  Yes  Advanced  float  0.0+ 
What proportion of the total transactions associated with this email had a payment token that was the same as the "most common payment token seen across all transactions?"

proportional_occurrence_most_common_ship_address  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship address the same as the "most common ship address seen across all transactions? Note that "address" in this case is "address1"."

proportional_occurrence_most_common_ship_city  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship postal code the same as the "most common ship city seen across all transactions?"

proportional_occurrence_most_common_ship_country_code  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a country code the same as the "most common country code seen across all transactions?"

proportional_occurrence_most_common_ship_email  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship email the same as the "most common ship email seen across all transactions?"

proportional_occurrence_most_common_ship_name  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship name the same as the "most common ship name seen across all transactions?"

proportional_occurrence_most_common_ship_postal_code  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship postal code the same as the "most common ship postal code seen across all transactions?"

proportional_occurrence_most_common_ship_state  Yes  Yes  Advanced  float  0.0  1.0 
What proportion of the total transactions associated with this email had a ship state the same as the "most common ship state seen across all transactions?"

recurrence_score  Yes  Yes  Basic  float  0.0  1.0 
How likely are we to see this person again (monthtomonth)? 0.0  1.0 using Logistic Regression. 1.0 represents higher likelihood of being a repeat customer than 0.0.

refunds  Yes  Yes  Basic  int  0+ 
How many refunds have we ever seen for transactions associated with this email?

smallest_average_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the average cost the cart for each transaction associated with this email address. What is the smallest value in that list?

smallest_average_item_cost_of_cart  Yes  Yes  Advanced  float  0.0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the average cost the cart for each transaction associated with this email address. What is the smallest value in that list?

smallest_cart_size  Yes  Yes  Advanced  int  0+ 
What is the smallest number of items in the cart across all transactions associated with this email? (Quantity is conserved – a line item with a quantity of two will be treated as two total items)

smallest_stdev_cost_of_unique_items_in_cart  Yes  Yes  Advanced  float  0.0+ 
Considering only the unique items in the cart (i.e. pretending the quantity of all line items is 1), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the smallest value in that list?

smallest_stdev_item_cost_of_cart  Yes  Yes  Advanced  float  0.0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the smallest value in that list?

stdev_stdev_item_cost_of_cart  Yes  Yes  Advanced  float  0.0+ 
Considering all items in the cart (i.e. taking a quantity of two for the same line item as two distinct items), calculate the standard deviation of the cost the cart for each transaction associated with this email address. What is the standard deviation of that list?

total_dollar_amount  Yes  Yes  Basic  float  0.0+ 
What is the total dollar amount of all transactions ever seen from this email?

transaction_value_score  Yes  Yes  Basic  float  0.0  1.0 
How "valuable is this customer? 0.0  1.0 (equation – what percentile is this customer in in terms of the amount of money spent in transactions across all merchants. 1.0 represents higher transaction value than 0.0.)"

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