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Vidora: Machine Learning Platform for Consumer Data

Vidora helps mid-market and enterprise companies automate the machine learning pipeline to support consumer-facing decisions. It is designed for businesses in retail and media that combine batch and real time data for personalization.

At a glance

Best for
Mid-market companies, Enterprise companies, Retail businesses, Media and subscription services
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Onsite Journey Optimization, Personalized Marketing, Churn Prevention, AdTech Targeting
Integrations
CDP, CRM, ESP, DMP, Data Lake
Official website
vidora.com
Screenshot of vidora website

Vidora (now mParticle Predictions) is a no-code machine learning platform designed to handle consumer data. It is built to move from simple predictions to business decisioning, such as determining how to intervene to prevent a user from churning rather than just predicting the churn.

The platform supports mid-market and enterprise organizations, particularly those in the retail, media, and subscription sectors. It is designed to automate the machine learning pipeline, including data wrangling and feature engineering stages.

By combining batch and streaming data, the tool supports real time interventions across user journeys, such as paywalls and marketing channels. It includes modeling techniques like uplift modeling to help teams evaluate the value of offers and interventions.

Buyers should confirm how the platform fits into their existing data stack, as it is designed to integrate with data lakes, warehouses, and various customer data platforms.

Key Features

No-Code ML Platform

Supports building and deploying machine learning models without requiring extensive manual coding.

Automated ML Pipeline

Supports automated data wrangling, feature engineering, and model selection.

Real Time Decisioning

Combines batch and streaming data to enable actions for both registered and anonymous users.

Uplift Modeling

Uses prescriptive modeling to help determine the effectiveness of specific interventions or offers.

Decisioning SDK

Provides a kit to embed real time machine learning decisions into products and user journeys.

Advanced Segmentation

Supports the creation of user segments using prescriptive models and funnel optimization.

Use Cases

Onsite Journey Optimization

Supporting real time decisioning for paywalls and registration walls to help increase user conversions.

Personalized Marketing

Supporting engagement through personalized emails, push notifications, and onsite recommendations.

Churn Prevention

Using uplift modeling to help decide the best offer or intervention to reduce subscriber churn.

AdTech Targeting

Using look-alike and classification models to target users or optimize for downstream conversion events.

Best For

Mid-market companiesEnterprise companiesRetail businessesMedia and subscription services

Integrations

CDPCRMESPDMPData LakeData Warehouse

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

What does Vidora do?

Vidora, now mParticle Predictions, is a no-code platform that helps automate the machine learning pipeline to support real time decisions based on consumer data.

Who is Vidora designed for?

It is primarily designed for mid-market and enterprise companies, especially those in retail, media, and subscription-based industries.

Does Vidora support real-time data?

Yes, it combines batch and streaming data to enable real time decisioning for both registered and anonymous users.

Source category: Data & Analytics

Source subcategory: Machine Learning Platform

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