AI Dashboards

The AI Dashboards section in your Tango.ad workspace is designed to configure AI-powered analytics, personalization, and customer intelligence. It provides centralized control over how customer data is interpreted, scored, and used in campaigns.

AI Dashboards

Overview

The AI Dashboards page allows you to:

  • Map customer attributes to AI-friendly traits
  • Configure scoring logic for personalization
  • Fine-tune AI behavior and funnel weighting
  • Connect external data sources (like a datalake)

These settings directly influence how campaigns target and personalize user experiences.

Modules

1. Traits Mapping

Purpose:

Convert raw customer data into structured, AI-readable traits for personalization.

What you can do:

  • Map user attributes (e.g., location, purchase history) to defined traits
  • Standardize data for consistent AI interpretation
  • Enable more accurate segmentation and targeting

Typical Use Cases:

  • Tag users as “High Value”, “Frequent Buyer”, etc.
  • Normalize inconsistent data fields

Action:

Click Configure to set up or edit mappings.

2. Scoring Models

Purpose:

Define how users, products, or behaviors are scored to influence recommendations and targeting.

What you can configure:

  • Brand boosters (prioritize certain brands)
  • Category multipliers
  • Shopping intent signals
  • Metadata-based scoring rules

Typical Use Cases:

  • Boost visibility of premium products
  • Promote categories with higher margins
  • Adjust rankings based on user preferences

Action:

Click Configure to customize scoring logic.

3. Advanced AI Settings

Purpose:

Fine-tune how AI evaluates user behavior across the customer journey.

What you can configure:

  • Action scores (e.g., clicks, views, purchases)
  • Funnel stage weights (awareness → conversion)
  • Behavioral importance in predictions

Typical Use Cases:

  • Increase weight for purchase actions over page views
  • Adjust funnel importance for different campaign goals

Action:

Click Configure to adjust AI parameters.

4. Datalake Settings

Purpose:

Connect external data sources for richer insights and better AI predictions.

What you can do:

  • Integrate with a datalake (e.g., Samba Datalake)
  • Import historical customer and order data
  • Enhance AI models with deeper datasets

Typical Use Cases:

  • Use past purchase history for recommendations
  • Combine offline + online customer data

Action:

Click Configure to set up integration.

Campaign Impact

These settings directly affect how campaigns target and personalize content.

  • AI configurations influence segmentation and targeting logic
  • Changes here will reflect in active and future campaigns
  • You can review applied targeting via the Campaigns section

Accessible from the sidebar:

  • General
    • Overview
    • Campaigns
    • Analytics
    • Billing
  • Advanced
    • AI Dashboards (current section)
    • Integration Hub
    • Coupons
    • Meta Fields

Best Practices

  • Start with Traits Mapping before configuring scoring models
  • Validate scoring logic to avoid unintended ranking biases
  • Adjust gradually in Advanced Settings to prevent performance swings
  • Ensure data quality when connecting a datalake
  • Monitor campaign results after making changes

Summary

The AI Dashboards module is the control center for personalization and AI-driven decision-making in Tango.ad. Proper configuration ensures:

  • Smarter targeting
  • Better recommendations
  • Improved campaign performance
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