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  • 📈Predictions Platform
    • Data Model
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      • Activities
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    • Glossary - Predictions
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  1. Predictions Platform
  2. Data Model

Activities

To improve model and forecasting quality, you can upload additional tables that contain specific activities and interactions with your customers. These tables must each contain at least a unique customer ID, a timestamp, and an activity type. Additionally, an activity_id can be passed that links the activity to a specific action. However, this data is not required for an initial well working model and is therefore optional.

You can upload one or more of these tables:

  • Online activities (customer in login area on your website / click in email)

  • Inbound activities (customer calls call center, letters and emails from customer)

  • Outbound activities (print mailings, catalogs, calls from a call center)

  • Payment activities (customer pays an invoice, receives a dunning level, is referred to collections)

In order to make use of these activities in the modelling process, it is important that they are stored in the so-called event format (just like transactions). This means that each row in an activity table describes exactly one 'event' at a time with a customer.

Field Name
Data Type
Example
Description

*customer_id

string

e131498

The Customer ID; Unique identifier used for merging all tables.

*activity_timestamp

date

2015-01-13

Date and (optionally) Time of the Transaction

*activity_type

string

CartAdd CartCancel

Used to generate patterns for the most common types.

activity_subtype

string

Trousers Black 4RTR3022DS

Can be used to generate additional patterns.

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Last updated 1 year ago

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