This page lists a changelog of updates to Faraday.

April 1st, 2024

  • API previews: The new API shortcuts feature, accessible via the options dropdown (...) on most resource detail pages, allows you to retrieve API shortcuts in shell, Javascript, Python, and Ruby, so that you can easily transition from interactive configuration using the Dashboard UI to programmatic configuration with the API.
  • Merge datasets: A new dataset type has been added—merge dataset—which allows you to merge two sets of data using a join key as an identifier. This type of advanced dataset can be useful if you have customer data in two different tables–for example, customers in one, and orders in another–and would like to combine them for more streamlined usage.

January 22nd, 2024

  • Identity resolution & matching overhaul: Previously, when connecting your data to Faraday, individuals we didn’t recognize (those without a match in the Faraday Identity Graph, or FIG) were simply dropped from your data. Now, data about these unrecognized identities are ingested and stored normally. You can now review how your data is being enriched with FIG traits via the new enrichment column in Datasets. The higher the fill rate, the more identities we were able to enrich with our built-in consumer data.
    • These changes may result in larger cohort counts due to Faraday being better able to handle partially-matched identities. On the other hand, your pipelines that target the everyone cohort as a population to include may be smaller due to identity resolution improvements, where previously individuals may have been incorrectly counted twice. Overall, these changes should increase prediction accuracy.

December 8th, 2023

  • Bias mitigation: While creating an outcome, the bias section provides options for mitigating either of the two sensitive dimensions released at launch: age and gender. To mitigate bias, simply toggle on either (or both) age and gender, and choose a mitigation strategy from equality or equity. Equality aims to neutralize bias, whereas equity aims to invert it. For more info, check out our blog.
  • New connection: SFTP: A new connection has been added for Secure File Transfer Protocol (SFTP), allowing users to securely transfer CSV data to and from Faraday.

December 1st, 2023

  • New outcome performance dashboard: Introducing a new look for the outcome performance dashboard to make it easier to interpret the results you can expect when using the outcome in the real world. In this new look, Faraday will place your outcome’s score on a grid whose Y axis is associated with Faraday’s ability to predict the outcome, and the X axis is associated with the business value expected due to the predictive lift of the outcome. The further toward the top right corner, the better your real-world results.
  • New aggregated deployment zoom levels: Now, aggregated deployments in the UI can support census tract and block group zoom levels, which can be useful for canvassing & market sizing use cases.

November 2nd, 2023

  • Explore map deprecation accouncement: At the end of 2023, the Explore map will be deprecated due to low engagement and insights that are no longer as relevant as they once were.

October 16th, 2023

  • Score explainability: With this update, you’ll find an include prediction explanations checkbox that tells you which datapoints had the highest impact on a given individual's predictions. Check out our blog post for more info.

September 15th, 2023

  • Bias reporting: When you create an outcome, the new bias section provides a summary of the bias that was discovered while the outcome was building. You’ll find tabs for different forms of bias–data, power, and predictions–as well as whether or not Faraday found the outcome to unfairly privilege certain sensitive subgroups over others. Click into any of the tabs to find the breakdown of given subgroups and their bias.
  • Faraday Identity Graph updates: FIG is now able to update on an incremental basis, which should result in faster updates & more accurate predictions.

August 31st, 2023

  • Dataset & cohort previews: When creating a dataset, you'll find previews of the data each of your properties represents while mapping fields. Similarly, when creating a cohort, you'll see a visual preview of the U.S. population baseline for Faraday traits that you add to the cohort.
  • Cohort duplication: Users can now duplicate cohorts via the three dots on the cohort list view, or within the cohort itself.
  • Faraday Lookup API: Faraday's Lookup API enables users to pull individual real-time insights via API.
  • Deployment limits and filters: Until now, the ability to filter a deployment by a percentile of scores existed in both the newer "filter" menu as well as the older "limit" menu. With this update, that option has been removed from "limit" to remove any confusion surrounding the redundant option. Users should continue to use the "filter" option and select "outcome percentile" to accomplish this task.

August 4th, 2023

  • Outcomes model reporting: The Outcomes view now includes various features that were previously stored in the technical model report, such as lift table and features of importance. The full technical model report can still be accessed via the three dots in the upper right when viewing an outcome.

June 30th, 2023

  • Managed connections: Managed connections to your favorite martech platforms like HubSpot, Iterable, and Facebook are now easier than ever to use. If they're part of your subscription, head to Connections and enter your credentials.
  • Probability scoring: Ever wondered what Faraday “scores” really represent? Starting now, we’re returning true probability values. That means that someone with a propensity score of 0.8 for a given Outcome truly has an 80% probability of achieving that Outcome. The calibration process we added also has the benefit of improving accuracy, which you will see by default in all new models. Check out our probability scores blog post for more details.

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.