Overview
What is Faraday?
Faraday headquartered in Burlingoton offers their marketing analytics platform, designed to include everything needed for data science, from native integrations and consumer data to automated machine learning and turnkey deployment capabilities. Faraday AI is deployed through 5 related products…
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
Product Demos
MIT Physics Demo -- Faraday's Cage
Mission Darknessâ„¢ Phone Size Faraday Bag
Physics Lab Demo 9: Faraday's Experiment
Demonstration of Faraday's law | Electromagnetic Induction Demo | #physics
Faraday's law in Tamil
Faraday's Law Demo: Induction Coils
Product Details
- About
- Integrations
- Tech Details
What is Faraday?
Faraday Features
- Supported: propensity predictions
- Supported: value predictions
- Supported: persona predictions
- Supported: journey predictions
Faraday Screenshots
Faraday Integrations
- AdRoll
- Amazon Aurora
- Braintree, a PayPal service
- Microsoft Advertising
- Branch
- Contentful
- Customer.io
- Drip Ecommerce CRM
- Freshdesk
- GitLab
- Google Analytics
- Google Cloud SQL
- Harvest
- Heroku Platform
- HubSpot Marketing Hub
- Intercom
- Iterable
- Jira Software
- Mailchimp
- Mailjet
- MariaDB Platform
- Adobe Marketo Engage
- Microsoft Azure
- Microsoft SQL Server
- Mixpanel
- MongoDB
- MySQL
- Outbrain
- Salesforce Marketing Cloud
- PostgreSQL
- QuickBooks Online
- Recurly
- Twilio Segment
- Twilio SendGrid Email API, part of Twilio SendGrid
- Shopify
- Stripe Payments
- Taboola
- Trello
- Zapier
- Xero
- Zuora
- Google Ads
- Airship
- Magento Commerce
- Salesforce
Faraday Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Comparisons
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Reviews
Community Insights
- Business Problems Solved
Users have found Faraday to be a valuable tool for improving their Facebook and Google performance. By leveraging custom audiences, they have been able to target their advertising efforts more effectively. Faraday has provided users with the ability to build interest-based audiences, especially as other ad platforms have started to limit this capability. With Faraday, users have been able to fully understand and utilize their data, allowing them to identify their niche markets more easily.
However, some users have reported disappointment when Faraday's custom audiences did not outperform their business-as-usual performance. They were hoping to find new audiences and build additional segments using reliable models and enrichment data, but Faraday's segmentation performed worse than non-Faraday segmentation in some cases. This has led to frustration and the perception that Faraday was a waste of time, money, and effort.
Despite these challenges, other users have found success with Faraday by leveraging its capabilities to fully analyze and utilize their data. They have used Faraday's features to better understand their customers, create targeted campaigns, and optimize their advertising efforts. For these users, Faraday has proven to be a valuable asset in their marketing strategies.
Overall, while some users have experienced disappointment with Faraday's performance in comparison to their business-as-usual practices, others have found it to be a powerful tool for audience targeting and data analysis. The key use cases for Faraday include optimizing Facebook and Google performance through custom audiences, building interest-based audiences when other platforms limit this capability, and fully utilizing data to identify niche markets.