Data4Sales

Stats and Prediction

Before making a decision, you need to understand. Here are the concepts you need to integrate your data, get to know each customer, and anticipate their behavior.

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Data Quality

Data quality measures how complete, accurate, unique, and up-to-date your customer data is.

Data silos

Data silos are customer information that is isolated in systems or devices that do not communicate with one another.

Days until the next purchase

"Days until next purchase" is an estimate of how long it will be before a customer makes another purchase.

Clusters

Clusters are groups of customers with similar behaviors, automatically identified based on their data.

Custom attributes

Custom attributes are data specific to your business that are added to the customer profile to enable better segmentation and personalization.

RFM

RFM is a method for segmenting customers based on the recency, frequency, and monetary value of their purchases.

Data Sources

Data sources are the systems that provide your customer information; the connectors automatically integrate it.

360° Profile

The 360° profile provides a comprehensive view of a customer: their data, purchases, interactions, and channels all brought together in a single profile.

Willingness to Buy

Purchase propensity is the estimated probability that a customer will make another purchase within a given period.

Churn Probability

The probability of churn is an estimate of how likely a customer is to stop buying from you in the next period.

Customer Data Platform (CDP)

A Customer Data Platform (CDP) is a platform that brings together your customers' data from all sources into a single profile for each person.

Predictive model

A predictive model uses historical data to estimate what a customer is likely to do, such as making another purchase or stopping purchases.

Buyer's Journey

The buyer's journey is the path a person takes from the moment they recognize a need until they make a purchase and make repeat purchases.