Attributes - KPIs (Transaction Data)
Attributes covered: avgBasketSize , avgSpendPerVisit, clusterValueIncludes, clusterValueExcludes, numberOfTxns, numberOfTxns, numberOfVisits
1. avgBasketSize
Profile: currentCustomer()
Attribute: avgBasketSize
Sub-Attributes: NA
Data type -> Int (Integer)
Operator: <(less than),>(greater than),<=(less than or equal to),>=(greater than or equal to),==(compare the LHS with RHS),!=(not equal to).
Meaning: The ratio of total line items purchased till date to the number of transactions/bills till date of a particular customer.
avgBasketSize = (Sum of total line items)/Number of Transaction (aka Count of transaction)
Syntax: currentCustomer.avgBasketSize[Operators][Value]
| Example 1 : Write a rule to check if the average basket size is greater than 10. |
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| Profile: current customer Attribute: avgBasketSize Operator: ">" Rule: currentCustomer.avgBasketSize>10 |
| Example 2: Write a rule to check if the average basket size is equal to 10 and avg spend per visit is 80. |
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| Rule: Condition 1 && Condition 2 Condition1: Profile: current Customer Attribute: average Basket Size Operator: == Condition2: Profile: current Customer Attribute: averageSpendPerVisit Operator: == Rule: currentCustomer.avgBasketSize==10&&(currentCustomer.avgSpendPerVisit)==80 |
| Example 3: Write a rule to check if the average Basket Size is less than or equals to 203. |
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| Profile: current Customer Attribute: average Basket Size Operator: "<=" i.e "less than or equal to" Rule: currentCustomer.avgBasketSize<=203 |
2. avgSpendPerVisit
Profile: currentCustomer()
Attribute: avgSpendPerVisit
Sub-Attributes: NA
Data type -> BigDecimal
Operator: <(less than),>(greater than),<=(less than or equal to),>=(greater than or equal to),==(compare the LHS with RHS),!=(not equal to).
Meaning: This is the average amount a customer is spending on a transaction.
Formula: AvgSpendPerVisit = lifetimePurchase / numberOfVisits
Syntax: currentCustomer.avgSpendPerVisit[Operators][Value]
| Example 1: Write a rule to check if the average Spend per customer is greater than 5000 and currently all points are greater than or equals to 1000. |
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| Rule: Condition 1 && Condition 2 Condition1: Profile: current Customer Attribute: average Spend per customer Operator: > Condition2: Profile: current Customer Attribute: currentAllPoints Operator: >= Rule: currentCustomer.avgSpendPerVisit>=5000&&(currentCustomer.currentAllPoints>=1000) |
| Example 2: Write a rule to check if the average basket size is equal to 10 and avg spend per visit is 10. |
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| Rule: Condition 1 && Condition 2 Condition1: Profile: current Customer Attribute: average Basket Size Operator: == Condition2: Profile: current Customer Attribute: averageSpendPerVisit Operator: == Rule: currentCustomer.avgBasketSize==10&&(currentCustomer.avgSpendPerVisit==10) |
3. numberOfTxns
Profile: Current Customer (currentCustomer)
return data type -> Integer
Attribute Label -> numberOfTrnx
Meaning -> number of transactions since start for a customer
Sub-Attributes: NA
Syntax: currentCustomer.NumberOfTxns[operators][Value]
Example: currentCustomer.numberOfTxns==1
| Example: Write a rule, to check the condition that total number of Transactions made by the customer is greater than or equals to 10. |
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| Profile: current Customer Attribute: numberOf Trnx Sub-Attribute: NA Rule: currentCustomer.numberOfTxns >=10 |
4. numberOfTxnsToday
Profile: Current Customer (currentCustomer)
return data type: Integer
Attribute Label: numberOfTrnxToday
Meaning: Number of transactions made by a customer the current day
Sub-Attributes: NA
Syntax: currentCustomer.NumberOfTxnsToday[operators][Value]
Example: currentCustomer.numberOfTxnToday==1
| Example: Write a rule, to check the condition that total number of Transactions made by the customer in the current date is greater than or equals to 1. |
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| Profile: current Customer Attribute: numberOf Trnx Sub-Attribute: NA Rule: currentCustomer.numberOfTxnsToday >= 1 |
5. numberOfVisits
Profile: Current Customer (currentCustomer)
return data type: Integer
Attribute Label: numberOfVisits
Meaning: number of unique days when customer made transaction
Sub-Attributes: NA
Syntax: currentCustomer.NumberOfVisits[operators][Value]
Example: currentCustomer.numberOfVisits==10
| Example: Write a rule, to check the condition that total number of Visits made by the customer is greater than or equals to 11. |
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| Profile: current Customer Attribute: numberOf Trnx Sub-Attribute: NA Rule: currentCustomer.numberOfVisits >= 11 |
| Example: Write a rule to check if the average Spend per customer is greater than 5000 OR number of transaction done on unique days is greater than 15. |
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| Rule: Condition 1 || Condition 2 Condition1: Profile: current Customer Attribute: average Spend per customer Operator: > Condition2: Profile: current Customer Attribute: numberOfVisits Operator: >= Rule: currentCustomer.avgSpendPerVisit>=5000||currentCustomer.numberOfVisits>=1000 |
6. lifetimePurchase
Data Type: BigDecimal
Description: customer's purchase since start including current transaction's purchase
Formula : lifetime purchase = [ sum of all purchase - sum of refund amount ]
Syntax: currentCustomer.lifetimePurchase[Operators like <,>,>=,<=,=][VALUE]
| Example1. Write a rule for current customers to check if LifetimePurchase is greater than 1000. |
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| currentCustomer.lifetimePurchase>1000 |
| Example 2: check if LifetimePurchase is less than or equal to 1000. |
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| currentCustomer.lifetimePurchase<=1000 |
| Example3: write a rule to check if LifetimePurchase is between 1500 to 3000 and the customer did transaction only once till now. |
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| (currentCustomer.lifetimePurchase>1500&¤tCustomer.lifetimePurchase<3000)&&(currentCustomer.numberOfVisits==1) |
| Example 4: write an expression for current customer to check if current slab number is less than 2 and lifetimePurchase is between 5000 to 15000. |
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| Rule: Profile: currentCustomer Attribute to check Slab number: slabNumber Attribute to check lifetime Purchase: lifetimePurchase And -> && Less than (>) Expression: ((currentCustomer.slabNumber<2)&&((currentCustomer.lifetimePurchase > 5000)&&(currentCustomer.lifetimePurchase <= 15000)) |
7. InitialLifetimePurchase
Data Type: BigDecimal
Description: customer's purchase since start before current transaction's purchase
Formula : Initial lifetime purchase = [ sum of all purchases - sum of refund amount ] before evaluating the current transaction.
Syntax: currentCustomer.initialLifetimePurchase[Operators like <,>,>=,<=,=][VALUE]**
| Example 3: write a rule to check if initialLifetimePurchase is greater than 3000 and the customer did the transaction only twice. |
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| (currentCustomer.lifetimePurchase<3000)&&(currentCustomer.numberOfVisits==2) |
Updated 12 months ago