Source proof for MissionWired drives donor campaigns through predictive data on Databricks

MissionWired drives strong donor campaigns through predictive data | Databricks Skip to main content Login Why Databricks Discover For App Develop…

…red CUSTOMER STORY Connecting supporters with causes to drive meaningful change 275B Donor data points processed $350M Raised for nonprofits with the Co-Op tool 125M+ Individuals represented i…

…S. At the heart of their strategy is the Cooperative Email Database, or Co-Op — a shared data product aggregating and analyzing anonymized donor insights from over 150 organizations. By leveraging machine learning, the Co-Op can identify potential donors based…

…ontinually shrinking nonprofit operational budgets. By implementing Databricks, MissionWired processed 275 billion data points across donor activities to raise an incredible $350 million for their clients since 2020. Facing outreach hurdles in a competitive donor environment Political campaigns…

…mpaigns remained effective and responsive to shifting market dynamics. In fact, member organizations leveraging the Co-Op achieved a complete return on investment within 12 months. This success drove $350 million in total donations to date. “With better donor…

…nonprofits with the Co-Op tool 125M+ Individuals represented in the Co-Op tool MissionWired specializes in raising funds for nonprofit organizations and political campaigns. Tapping into their Cooperative Email Database (Co-Op), the company combines the…

…shifting priorities and digital transformation challenges. Enter MissionWired. The company empowers political campaigns and nonprofits to connect with high-quality donor prospects to drive meaningful change across the U.S. At the heart of their strategy is the Cooperative Email Database, or Co-Op — a…

…e significant social good for the causes they champion. Share this post Details Industry : Marketing , Technology and Software Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Produ…

…gly low performance of traditional acquisition sources (e.g., Meta and Google), the inability of their legacy systems to process massive data volumes and continually shrinking nonprofit operational budgets. By implementing Databricks, MissionWired processed 275 billion data points acr…

…ted timely outreach. Finally, despite their innovative use of machine learning, MissionWired’s ML workflows lacked the infrastructure required to build and deploy the thousands of models for personalization campaigns. To address these barriers, MissionWired implemented the Databricks Data + AI P…

…latform to manage data ingestion, transformation and machine learning at scale. A critical component of this transformation was Spark Declarative Pipelines, which automated MissionWired’s data pipelines to process and transform data from over 125 million individuals in their Co-Op system. With this shift, MissionWired designed and built robust, automated systems with…

…insights and downstream machine learning. Once the pipelines were strengthened, Unity Catalog, a unified governance solution within the Databricks suite of products, enabled MissionWired to organize their data catalog for improved operations. With cleaner, better-governed data that allowed for se…

…d to. But Databricks SQL just makes it so easy to create queries.” In addition, MissionWired took advantage of Databricks support for open source tools — including TensorFlow — to scale their machine learning capabilities. With the Databricks Data + AI Platform, the team trained and deployed thousand…

…ign scalability. Using various components of the Databricks Data + AI Platform, their Co-Op infrastructure can process 275 billion data points across the donor activities of 125 million+ people. This scalability is key for MissionWired’s lean technical team to deliver a pr…

…mpaigns remained effective and responsive to shifting market dynamics. In fact, member organizations leveraging the Co-Op achieved a complete return on investment within 12 months. This success drove $350 million in total donations to date. “With better donor targeting and scalable outreach, we’re helping campaigns con…

…iver immediate performance improvements and long-term fundraising success. Now, the Co-Op and their campaigns consistently see higher click-through rates, improved CPA and enhanced donor quality compared to paid social ads. For MissionWired’s technical team, the Databricks Data + AI Platform ultimatel…

…regating data from 150+ organizations to identify high-quality donor prospects, MissionWired uses machine learning (ML) to optimize marketing campaigns, predict donor behavior and drive click rates while lowering cost per acquisition (CPA). However, the business was dealing with the increasingly low performance of tra…

…tware Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…

…d to. But Databricks SQL just makes it so easy to create queries.” In addition, MissionWired took advantage of Databricks support for open source tools — including TensorFlow — to scale their machine learning capabilities. With the Databricks Data + AI Platform, the team trained and deployed thousand…

…logy and Software Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Unity Cat…

…logy and Software Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Unity Cat…

…porters with causes to drive meaningful change 275B Donor data points processed $350M Raised for nonprofits with the Co-Op tool 125M+ Individuals represented in the Co-Op tool MissionWired specializes in rai…

…regating data from 150+ organizations to identify high-quality donor prospects, MissionWired uses machine learning (ML) to optimize marketing campaigns, predict donor behavior and drive click rates while lowering cost per acquisition (CPA). However, the business was dealing with the increasingly low performance of tra…