Consumer Data Company’s AI profiling and data enrichment services are designed to deliver actionable insights across a variety of industries. By leveraging advanced machine learning and proprietary data models, we empower businesses to optimise their strategies, target the right audiences, and maximise ROI. Below are 15 use case scenarios where our services can make a significant impact. Coupon promotion campaigns Use case Examine coupon redemption files to determine who redeems, under what circumstances, and which offers drive the highest engagement. Outcome Boost redemption rates, reduce media waste, and build high-performing lookalike audiences for future campaigns. Affiliate networks Use case Enrich performance data from affiliate networks with consumer profiles to better understand traffic sources, conversion behaviours, and customer lifetime value. Outcome Focus on high-value affiliates, refine commission structures, and improve ad placements. E-commerce personalisation Use case Enhance e-commerce customer files with lifestyle, location, and purchase behaviour data to offer personalised product recommendations and promotions. Outcome Increase upsell opportunities, enhance customer satisfaction, and improve conversion rates. Payment providers Use case Analyse transaction and geolocation data from payment providers to identify consumer spending patterns and create predictive spending profiles. Outcome Develop targeted loyalty programmes and cross-promotional campaigns for merchants. CRM data enrichment Use Case Add over 100 lifestyle, behavioural, and media usage data layers to existing CRM records for enterprise-scale segmentation. Outcome Enable hyper-granular segmentation, unlock hidden opportunities, and improve campaign ROI. Retail location optimisation Use case Use geolocation and demographic data to determine optimal retail locations and in-store promotional strategies. Outcome Drive foot traffic, increase in-store conversions, and allocate resources more effectively. Subscription services Use case Analyse customer records for subscription-based services to identify retention risks, upsell opportunities, and churn predictors. Outcome Reduce churn, extend customer lifetime value, and improve subscription revenues. Digital advertising campaigns Use case Build predictive audience models for digital ad targeting using enriched consumer data and behavioural insights. Outcome Increase click-through rates (CTR), reduce cost-per-acquisition (CPA), and drive higher engagement. Loyalty programme optimisation Use case: Enrich loyalty programme member data with purchase behaviour, lifestyle traits, and engagement triggers to reward high-value customers. Outcome Increase member engagement, maximise loyalty programme ROI, and reduce member attrition. FMCG consumer insights Use case Analyse FMCG sales and coupon promotions to identify consumer preferences, pricing elasticity, and cross-promotion opportunities. Outcome Optimise product placement, boost sales, and refine pricing strategies. Tourism & hospitality Use case Enrich booking and visitor data with demographic, lifestyle, and travel preference insights to tailor offers and experiences. Outcome Enhance guest satisfaction, increase booking rates, and drive repeat visits. Telecom & subscription media Use case Analyse customer usage data to create predictive churn models and identify opportunities for upselling premium services. Outcome Reduce churn, improve ARPU (Average Revenue Per User), and create targeted retention campaigns. Healthcare & wellness Use case Enrich patient or customer records with behavioural and lifestyle data to design personalised health or wellness plans. Outcome Improve patient engagement, boost programme adherence, and enhance health outcomes. B2B lead scoring Use case Enrich B2B customer and lead databases with firmographics, behavioural data, and purchase intent indicators for better lead scoring. Outcome Prioritise high-value leads, improve sales team efficiency, and close deals faster. Gift card sales analysis Use case Analyse transaction data from gift card sales to identify key customer demographics, purchase trends, and seasonal patterns. Outcome Optimise gift card distribution, create targeted marketing campaigns, and predict future demand across retail locations.