Changelog

This page lists a changelog of updates to Faraday.

May 18th, 2023

  • Deployment filtering: Now, when creating a deployment in Faraday, you can use the filter advanced settings pulldown (after selecting your deployment format) to select specific payload elements (personas, outcomes, and cohorts) to include in the deployment. This change includes moving the percentile filtering from the limit pulldown into this new filter pulldown. Limit will now exclusively be used to limit a deployment's row count.

April 11th, 2023

  • Refreshing datasets: In a dataset's data tab, you are now able to download previously-uploaded CSVs so that you can compare them to new data that you'd like to upload to ensure that their columns match. This is accomplished via the three dots (...) to the right of the row.
  • Test mode: Enable test mode via the toggle that appears when clicking your organization's name in the upper left. Enabling test mode saves all of your current data in Faraday and brings you to an instance of your account exclusively populated by artifical data, where you can test various features in sandbox mode. Use the same toggle to return to your regular Faraday account.

March 20th, 2023

  • New product recipe and documentation: Find documentation for help getting started, full guides for Faraday prediction recipes from end-to-end, as well as walkthroughs for every part of Faraday.

February 24th, 2023

  • Target transformation for ad platforms: When creating a deployment, in the advanced settings step's structure tab, you can select from various ad platforms such as Facebook, LinkedIn, Google Ads, and Pinterest to have the deployment automatically format in a way that's appropriate for that destination.

February 9th, 2023

  • Human friendly deployments: When creating a pipeline deployment, you're now able to select human friendly deployments, which changes column headers to the names of the outcome or persona set in use. This also includes full customization of column header names, if desired. These changes should make it easier to tell, at-a-glance, what each column header represents.
  • Developer API Places: Places enables API users to designate points of interest around which they can focus predictions, and our new lead scoring quickstart guide details how you can quickly begin scoring leads in real-time using the developer API.
  • Liveramp partnership update: Clients will now need to have a direct contractual relationship with Liveramp, rather than using Faraday's Liveramp account. This is to better align Faraday with data processing best practices.

December 2nd, 2022

  • Navigation bar update: Reorganized the navigation bar into sections–Data, Predictions, and Account–to make navigating the app easier.
  • Events and Traits consoles: View all of your events and traits in their own consoles under the Data section of the navigation bar. The new traits console will serve as your in-app data dictionary, where you can search for what traits can be matched for and filtered by.

November 14th, 2022

  • Dynamic scoring: This update to Faraday’s predictive modeling means lead and customer engagement scores that evolve based on customer behavior, so interventions to save deals are more effective, improving conversion rates. This won’t be an option you select in the UI, but it should result in more accurate predictions.

November 4th, 2022

  • Aggregated pipelines: With this enhancement, you’ll see columns for each payload element (outcomes, personas, cohorts) of a pipeline you’ve created–previously only outcomes were supplied.

    For example, if a persona set is included in your pipeline's payload, you can see the number of people in a given persona within your specified geographic level in the pipeline's deployment, when selected aggregated as the deployment type.