AI TOOL PROFILE
Intuizi: Predictive Consumer Intelligence Platform
- Data and Analytics
- Analytics and Reporting
- 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.
At a glance
- Best for
- Marketing Agencies, AdTech Companies, MarTech Companies, Data Owners, Signal Providers
- 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
- Visit intuizi official website
How AI is used
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.
Integrations
- Google DSP
- The Trade Desk DSP
- Meta DSP
- LinkedIn DSP
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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