{"slug":"pwc-uses-ai-driven-send-time-and-audience-scoring-to-improve-campaign-relevance","url":"https://findausecase.com/use-cases/pwc-uses-ai-driven-send-time-and-audience-scoring-to-improve-campaign-relevance","title":"PwC uses AI-driven send-time and audience scoring to improve campaign relevance","description":"PwC France & Maghreb embedded AI models in Oracle Marketing to determine optimal send times, detect audience fatigue to avoid over-contacting, and score accounts by engagement potential and service-line interest, shifting from broad regional campaign lists to intent-based segments.","company":"PwC","industry":"Professional Services","country":"France","aiCapabilities":["Predictive Analytics","Recommendation & Personalization"],"businessFunctions":["Marketing"],"technology":["Oracle Fusion Cloud Marketing","Oracle Fusion Unity Data Platform"],"deployment":"Public Cloud","problemStatement":"At PwC, outreach relied on one-size-fits-many emails segmented mainly by geography or service line rather than by real-time behavior or intent: teams lacked tools to determine when a client or prospect was most likely to engage, send times were inconsistent, and marketing planners lacked automation to detect when audiences were over-contacted, increasing fatigue and wasted effort.","solutionApproach":"PwC turned to Oracle Marketing and embedded AI models to update its outreach: models analyze behavior and timing patterns to determine optimal send times, fatigue-analysis models identify when a contact has already received too many messages, and account-intelligence models profile and score accounts by engagement potential and service-line interest, supporting a shift from broad regional lists to intent-based segments.","businessValue":"Open and click-through rates have improved, pointing to more relevant content delivered at the right moment, and productivity increased as manual audience-preparation tasks dropped and workflows relied more on automation.","evidence":{"band":"high"},"sourceUrl":"https://www.oracle.com/customers/pwc/","dates":{"publishedAt":"2026-09-09T09:01:19.513Z","publishedAtSource":"pipeline","updatedAt":"2026-09-09T09:01:19.513Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/pwc-uses-ai-driven-send-time-and-audience-scoring-to-improve-campaign-relevance. Bulk republication requires permission."}