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About Faraday

Faraday is a predictive analytics software from Faraday that helps users predict customer behavior using a developer-friendly API. It provides templates, data ingress and integrations, and fully prepared consumer data so users can build capable predictive customer experiences. With its fast performance, Faraday is designed for developers looking to incorporate predictive analytics into their applications. The software supports adaptive discounting to tailor offers based on customer behavior. Key capabilities: data integration predictive modeling customizable templates real-time analytics developer-friendly API Best for: developers that need to create predictive customer experiences efficiently.

Faraday Details

Vendor
Faraday
Year Launched
2012
Location
431 Pine St, 113, Burlington, Vermont 05401, US
Deployment
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English
Users
Marketers, Data Analysts, Sales Representatives, Customer Success Managers, IT professionals, Business Development Managers.
Industries Served
Healthcare, Education, Finance, Retail
Tags
Artificial Intelligence, Customer Engagement, Machine Learning, Marketing Attribution, Marketing Automation, Predictive Lead Scoring, Predictive Analytics

Faraday's In-App Market Place

Does Faraday have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Powerful Data Analysis: Offers advanced capabilities for data exploration and insights generation.
  • Audience Targeting: Enables discovery and segmentation of relevant audiences for marketing campaigns.
  • Data Integration: Seamlessly integrates with customer data platforms for data enrichment.
  • Improved Campaign Performance: Users reported significant reductions in campaign costs like CPA (Cost per Acquisition).
  • Customer Support: Helpful and responsive customer support team.
  • Steep Learning Curve: Users found the platform complex and challenging to navigate, especially with unfamiliar terminology.
  • Data Discrepancies: Some users experienced inconsistencies between Faraday's data and their internal data sources.
  • Limited Out-of-the-Box Integrations: Users desired more native integrations with marketing platforms like Facebook and Google Ads.
  • Data Matching: Match rates for audience targeting were reported to be lower when using partial PII (Personally Identifiable Information).

Faraday's Support Options

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