---
title: "Intelligence Overview"
slug: "intelligence-overview"
updated: 2026-08-10T18:24:42Z
published: 2026-08-10T18:24:42Z
canonical: "docs.xtremepush.com/intelligence-overview"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.xtremepush.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Intelligence Overview

Xtremepush *Intelligence* turns your player event data into actionable insights, without the overhead of building and maintaining your own data warehouse or analytics pipeline.

Once it is live, *Intelligence* automatically processes your events and delivers ready-to-use player attributes, pre-built datasets, out-of-the-box dashboards, and ML-powered segmentation directly inside the Xtremepush platform.

> [!NOTE]
> If you are interested in adding *Intelligence* to your account, it is available as a chargeable add-on. Speak to your account manager to discuss pricing and next steps.

To set up *Intelligence*, we start with your player event data, which needs to reach us in a format described in [Data Integration Requirements](/documentation/docs/data-integration-requirements). It then goes through a setup process where our team validates and deploys it for you. Depending on your specific set up this will take several weeks from first data through to go-live. See [Setup Overview](/documentation/docs/intelligence-setup-overview) for what to expect along with [Typical Timelines](/documentation/docs/intelligence-setup-overview#typical-timeline) involved.

The rest of this section describes what you get once that setup is complete.

The diagram below shows how your event data flows through *Intelligence*: from the point it enters the platform, through classification in the **Event Property Model**, out to computed player attributes, pre-built datasets, dashboards, and machine learning models.

```mermaid
graph TD
    A[Getting your data in] --> B[Event Property Model]
    B --> C[Computed player attributes]
    B --> D[Pre-built datasets]
    C --> E["Used for segmentation and personalisation"]
    D --> F[Dashboards]
    D --> G[Machine learning models]
    F --> H["Used for reporting and campaign targeting"]
    G --> H

    classDef offering fill:#c4f2d4,stroke:#029e38,color:#000;
    classDef default fill:#f0f0f0,stroke:#666,color:#000;
    class C,D,F,G offering
```

The boxes shaded green above are Intelligence's four offerings: computed attributes, pre-built datasets, dashboards, and machine learning models.

> [!NOTE]
> Event Property Model
> 
> Events you send and map to XP pass through the Event Property Model, a standardisation layer that classifies each event by four properties:
> 
> - **Nature**: The business domain of the event (casino, sports, bingo, deposit, withdrawal, bonus)
> - **Value type**: Whether value moves from player to operator (wager/debit) or from operator to player (payout/credit)
> - **Value**: The monetary amount of the transaction
> - **Transaction key**: The identifier that links a wager to its payout
> 
> This classification produces a standardised events table which is the foundation that computed attributes, datasets, dashboards, and machine learning models is built from.
> 
> 
> 
> You send the events. *Intelligence* handles the classification, aggregation, and model deployment. For details on sending your data, see [Setup Overview](/documentation/docs/setup-guide).

## What you get

You get four main things from *Intelligence*: computed player attributes, pre-built datasets, dashboards, and machine learning models. For more info on each offering, see [Intelligence Offerings](/documentation/docs/placeholder).

### Computed player attributes

With *Intelligence*, you get over 150 attributes per player which are written directly to each player's profile. These attributes cover the full spectrum of player behaviour:

- **Deposits and withdrawals**: amounts, counts, averages, and first/last activity dates
- **Casino performance**: wager amounts, payout amounts, GGR, margin
- **Sportsbook performance**: wager amounts, payout amounts, GGR, margin
- **Revenue**: total GGR, total NGR (net gaming revenue after bonus cost), overall margin
- **Bonuses**: bonus wager and payout amounts, bonus GGR

Attributes are calculated across five time windows, last 7, 14, 30, and 90 days, plus lifetime, giving you a complete picture of player behaviour at any timescale.

These attributes are available in the Xtremepush segmentation engine for campaign targeting. No additional configuration is required.

### Pre-built datasets

In parallel to computed attributes, *Intelligence* produces a set of pre-aggregated datasets in your BI suite. These power the out-of-the-box dashboards and are also available for you to query directly, build custom reports on, or use as the basis for custom computations.

The datasets include daily, weekly, monthly, and lifetime views of player activity and revenue at both individual player and platform levels.

### Dashboards

Built on top of the data model, *Intelligence* provides out-of-the-box dashboards for campaign attribution reporting and commercial analytics.

### Machine learning models

Built on top of the data model, *Intelligence* includes four standard iGaming models for player segmentation and predictive targeting.