Evaluate customer value through more than a single spend amount.
Pika Customer Intelligence combines Monetary, Frequency, Recency and Loyalty components inside a deterministic Customer Value Score to make customer value visible on a 0–100 scale.
The objective is not for AI to predict future customer value, but to turn current behavioral and transaction context into a common value metric through explainable weights.
What is Pika Customer Value Score?
Customer Value Score is a deterministic 0–100 score that makes customer value visible by evaluating multiple behavioral and transaction dimensions together.
The documented formula uses weights of 40% Monetary, 25% Frequency, 20% Recency and 15% Loyalty.
Behavioral components → weighted score → customer context → user evaluation.
Evaluate customer value through multiple behavioral dimensions.
Monetary
Customer monetary contribution is the 40%-weighted component of score context.
Frequency
Purchase frequency is the 25%-weighted component of the score.
Recency
Recent transaction context is the 20%-weighted component of the score.
Loyalty
Loyalty context is the 15%-weighted component of the score.
Customer Value Score is not a single purchase amount. It is a weighted combination of multiple customer dimensions.
Customer value is not a campaign decision by itself.
Customer Value Score is part of Customer Intelligence context and can be used in Pika 360 or inside Audience Manager rules. Campaign or journey decisions remain managed by the relevant action layers.
The value score does not independently decide what should be sent or whether communication should occur.
Evaluate Customer Value Score within the correct analytical context.
CVS turns current customer behavior into a common score context through explainable deterministic weights.
Related Pika Layers & Use Cases
Frequently Asked Questions
What does Customer Value Score measure?
Customer Value Score combines Monetary, Frequency, Recency and Loyalty components in a weighted deterministic formula to make customer value visible on a common 0–100 score context.
What is the Customer Value Score formula?
The documented formula is Monetary × 0.40 + Frequency × 0.25 + Recency × 0.20 + Loyalty × 0.15.
Is Customer Value Score calculated by AI?
C29 does not position it as AI customer scoring. Customer Value Score is a documented weighted deterministic algorithm.
Does Customer Value Score predict customer lifetime value?
C29 makes no future CLV or lifetime-value prediction claim. CVS scores current customer behavioral and transaction context.
Does a high Customer Value Score automatically add a customer to an audience?
No. CVS can become one input to explicit Audience Manager rules; actual audience definition is a separate product responsibility.
Does high customer value guarantee campaign success?
No. Customer Value Score does not guarantee conversion, sales, revenue or campaign outcomes.
Measure customer behavior. See value context. Connect the decision to controlled action.
Evaluate how Pika Customer Intelligence combines Monetary, Frequency, Recency and Loyalty context inside Customer Value Score using your own customer data.