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"Data-driven campaigning" is a book category that examines how quantitative evidence, analytics, and technology are used to plan, target, run and evaluate political campaigns. Titles in this genre range from practical how‑to manuals and technical guides on voter databases, predictive modeling, microtargeting, A/B testing, digital advertising, CRM and fundraising optimization, to case studies and academic accounts of field experiments, geospatial analysis and social‑media measurement. They typically cover the tools and workflows (R/Python/SQL, dashboards, ad platforms), metrics for testing and attribution, and the organizational tactics for integrating data into field and digital operations, while also addressing ethics, privacy, regulation and risks such as bias or manipulation. The audience includes campaign managers, data scientists, political operatives, students and analysts seeking both operational skills and critical context.

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