Faraday AI

How to grow revenue with AI in 5 easy steps

AI can be hard, but Faraday makes it easy to apply cutting-edge predictive technology and built-in big data to your B2C business. Here's the simple plan we follow to get the smartest brands up and running in under a month.

Your business data Enrich with attributes Define your goals Detect patterns
  1. Start with your data

    Predicting the future starts with understanding the past. We all maintain some data on our customers—whether in a fancy data warehouse or a simple spreadsheet. The historical examples of good and bad outcomes in that data provide the jet fuel for your AI.

    With Faraday

    Faraday connects directly to your existing data sources so you don't have to spend time runningly weekly exports. Just use one (or more) of our 70+ integrations to sync your data to Faraday, and we'll automatically keep it up to date. Not ready for a full integration? No problem, we'll happily accept files in formats like CSV.

    How we sync your data

  2. Enrich and expand

    Most companies have a one-dimensional view of their customers: contact information, order history, website behavior. But in reality your buyer is a complex person with interests, issues, and ideas. Rich, detailed consumer data allows machine learning algorithms to find useful patterns leading to positive business outcomes.

    With Faraday

    Your platform subscription includes access to the Faraday Identity Graph, a nationwide database containing hundreds of individual-level attributes covering nearly every U.S. consumer. Data synced from your sources is automatically enriched with demographic, financial, property, and psychographic records. Plus, browse and access individuals and households you've never met to expand your business.

    Explore the Faraday Identity Graph

  3. Define your goals

    The most important part of the AI process is to carefully describe the lifecycle outcomes you're looking for. Focused on lead conversion? Trying to find more customers who will buy three times per year, make no returns, and refer at least one friend? Whatever your goal may be, as long as there is past evidence of it in your data, you can start to predict it.

    With Faraday

    Most B2C businesses follow a standard customer lifecycle path, from acquisition and conversion through retention. Because Faraday is built for B2C, the platform includes a library of common revenue outcomes that can be quickly applied to your company. Need to tweak something? You can customize your outcomes to match your goals, and even define entirely new outcomes.

    Browse our library of business outcomes

  4. Predict outcomes

    Now that you've defined your goals, assembled your data with historical examples of them, and enriched that data with relevant attributes, you're ready to make predictions. Machine learning algorithms sift through your prepared data, looking for meaningful patterns that lead to your desired outcomes. These patterns can then be applied to new leads, customers, or prospects to predict how they'll turn out!

    With Faraday

    Faraday Core is our always-on AI engine, constantly monitoring your data for new predictive potential and revenue opportunities. After defining your goals once, new data is evaluated on an ongoing basis, leading to increasingly accurate predictions over time. Plus, get details like performance metrics and important attributes whenever you'd like.

    Meet Faraday Core

  5. Take action

    AI only works when you put it to use. Think of it like an automatic prioritization machine for every aspect of your revenue, from working the hottest leads to preventing the most avoidable churn. This works best when predictions are integrated into the systems and workflows that facilitate your daily work.

    With Faraday

    Whether it's pushing scores directly into your CRM or alerting you directly when new opportunities emerge, Faraday gets predictive conclusions in front of you, when and where it matters. Plus, our signature outreach system selects the most important targets, then distributes them to the platforms of your choice: Facebook, DSPs, ESPs, offline channels, and more.

    How to operationalize AI