MissionWired drives donor campaigns through predictive data on Databricks
MissionWired used Databricks (Spark Declarative Pipelines, Unity Catalog, Databricks SQL) to process 275 billion donor data points across its Cooperative Email Database aggregating 150+ nonprofit organizations, helping raise $350 million for clients since 2020 with member organizations achieving full ROI within 12 months.
Overview
MissionWired used Databricks (Spark Declarative Pipelines, Unity Catalog, Databricks SQL) to process 275 billion donor data points across its Cooperative Email Database aggregating 150+ nonprofit organizations, helping raise $350 million for clients since 2020 with member organizations achieving full ROI within 12 months.
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Inspect the highlighted sourceThe challenge
MissionWired's legacy systems could not process the growing volume of donor data, traditional acquisition channels like Meta and Google were becoming less effective, nonprofit operational budgets kept shrinking, and its ML workflows lacked the infrastructure to build and deploy the thousands of models needed for personalization campaigns.
The solution
MissionWired implemented the Databricks Data + AI Platform, using Spark Declarative Pipelines to automate data pipelines processing over 125 million individuals in its Co-Op system, Unity Catalog for governance, Databricks SQL integrated with Tableau for analyst reporting, Databricks support for open-source tools including TensorFlow to scale machine learning, and Databricks Notebooks for live collaboration on models and pipelines.
Reported business value
MissionWired's Co-Op infrastructure processes 275 billion data points across the donor activities of 125 million+ people, helping raise $350 million for clients since 2020, with member organizations achieving a complete return on investment within 12 months and seeing higher click-through rates, improved cost per acquisition, and enhanced donor quality compared with paid social ads.
Sources
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