Using Digital Marketing to Increase Participation in the Child Support Program

This funding opportunity announcement has been modified in the following sections: 1) Section IV.2 Content and Form of Application Submission, Page Limitations and Content for All Submission Formats, File Two (Appendices); Section IV.2 Content and Form of Application Submission, The Project Description, Optional Governing Body Documentation; and Section VIII. Other Information, Application Checklist. The changes to these sections request Governing Body Documentation from tribal applicants, if applicable. 2) Section I. Program Description, Purpose and Goals. The change to this section changes the "and" in the purpose and goals section to "and/or" to align with the language in Section V.1. Criteria, Project Description. 3) Section V.1. Criteria, Project Budget and Budget Justification. The change to this section removes the descriptor "full time" before "project director" to align with language in the rest of the FOA. Please see the modified sections of this funding opportunity announcement for the final language. The Administration for Children and Families (ACF), Office of Child Support Enforcement (OCSE) forecasts a two-year grant program to collect and analyze data on how digital marketing may help the child support program more effectively reach and serve families. The program will test digital marketing approaches and partnerships to: Conduct outreach to families that could benefit from child support services; and Create or improve two-way digital communication and engagement with parents. Grantees will design at least three time-bound digital marketing interventions during the two-year project period. Examples of interventions may include, but are not limited to, launching a digital media campaign, testing specific approaches to Search engine optimization, or communicating through a new digital medium. Grantees will evaluate projects by pulling data analytics from the digital marketing tools used in the campaigns, both during and after each intervention. The evaluation of each intervention will use child support administrative data to analyze potential relationships between the analytics and child support data. Findings will be used to modify future interventions throughout the Learn, Innovate, Improve method.