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Intuizi: Predictive Consumer Intelligence Platform

Intuizi helps AdTech and MarTech firms identify audiences by combining real-world location data with digital behaviors. It is designed for organizations looking to monetize consented audience data or refine targeting strategies.

At a glance

Best for
Marketing Agencies, AdTech Companies, MarTech Companies, Data Owners, Signal Providers
Pricing
Intuizi uses a usage-based CPM pricing model. Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Audience Segmentation, Consented Data Monetization, Behavioral Analysis, DSP Campaign Activation
Integrations
Google DSP, The Trade Desk DSP, Meta DSP, LinkedIn DSP
Official website
intuizi.com
Screenshot of intuizi website

Intuizi is a predictive consumer intelligence platform that utilizes Large Quantitative Models (LQMs) and an Anonymous Knowledge Graph (AKG). The system processes de-identified signals from devices such as mobile phones, televisions, and IoT sensors to help users understand and predict consumer actions.

The tool is designed for marketing professionals, AdTech and MarTech companies, and data owners. It allows users to build audience segments based on real-world visitations and virtual activities, which can then be activated within their own Demand Side Platforms (DSPs).

For signal providers, the platform supports the de-identification of consented data using encryption and hashing, which may help these organizations create revenue streams through data licensing and ad sales.

Buyers should confirm if their specific data compliance requirements align with the platform's de-identification methods and whether the usage-based pricing model fits their budget structure.

Key Features

Large Quantitative Models (LQMs)

AI models trained on de-identified signals to help predict consumer behavior.

Anonymous Knowledge Graph (AKG)

A queryable graph that combines real-world visitations and virtual behaviors for audience segmentation.

Signal Processing Platform

Supports the de-identification of consumer data using encryption, salting, and hashing.

Diverse Datasets

Provides access to mobility, app usage, demographic, connected TV, and audio data.

Self-Service Audience Discovery

A platform for identifying audiences from de-identified data for use in a DSP.

Use Cases

Audience Segmentation

Creating cohorts based on the frequency of visits to specific locations, such as hotels or retail stores.

Consented Data Monetization

Helping data owners turn de-identified consented audience data into licensing revenue.

Behavioral Analysis

Analyzing app usage and device visitation patterns to understand consumer behavior over time.

DSP Campaign Activation

Activating audience segments across various Demand Side Platforms.

Best For

Marketing AgenciesAdTech CompaniesMarTech CompaniesData OwnersSignal Providers

Integrations

Google DSPThe Trade Desk DSPMeta DSPLinkedIn DSP

Pricing

Intuizi uses a usage-based CPM pricing model. Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

What is the Anonymous Knowledge Graph (AKG)?

The AKG is a system that queries de-identified data, combining real-world location visits with virtual behaviors to create AI-powered audience segments.

Who is Intuizi designed for?

It is designed for AdTech and MarTech companies, marketing agencies, and signal providers who own consented audience data.

How does Intuizi handle data privacy?

Signal providers de-identify consumer data using encryption, salting, and hashing to keep consumers anonymous.

What is the pricing model for Intuizi?

The platform uses a usage-based CPM pricing model.

Source category: Data & Analytics

Source subcategory: Analytics & Reporting

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