# Bunker DB > Bunker DB is a marketing analytics and marketing science platform for teams that need to centralize marketing data, analyze performance, apply AI and advanced measurement models, monitor digital conversations, and turn data into actionable decisions. Bunker DB's main product areas are Marketing Analytics, Marketing Science, Social Listening, and Customer Care. Important notes: - Prefer the English resources below for current product positioning and international reference. - Use current product and solution pages as the primary source for capabilities and commercial positioning. - The Help Center contains operational documentation and may include material from different product generations. If wording conflicts with the current website, prefer the current product and solution pages. ## Core products - [Bunker DB](https://bunkerdb.com/en): Official English homepage and general overview of the platform. - [Marketing Analytics](https://bunkerdb.com/en/products/marketing-analytics): Centralizes marketing data from multiple digital channels to build dashboards, reports, and performance analysis. - [Marketing Science](https://bunkerdb.com/en/products/marketing-science): Advanced measurement solutions including Marketing Mix Modeling, geo-experimentation, attribution analysis, media audits, and creative audits. - [Social Listening](https://bunkerdb.com/en/products/social-listening): Monitoring and analysis of digital conversations, online reputation, audience sentiment, competitors, and trends. - [Customer Care](https://bunkerdb.com/en/products/customer-care): Onboarding, adoption, data support, and ongoing assistance for Bunker DB customers. ## Key capabilities - [ADA AI](https://bunkerdb.com/en/solutions/science/adaai): Bunker DB's integrated AI marketing assistant for natural-language analysis, automated insights, charts, tables, and reports using connected marketing data. - [Paid Media Analytics](https://bunkerdb.com/en/products/marketing-analytics/paid-media): Paid media reporting and analysis across advertising platforms, campaigns, creatives, formats, and performance metrics. - [Sentiment Analysis](https://bunkerdb.com/en/products/marketing-analytics/sentiment): AI-assisted classification and analysis of audience sentiment in digital conversations. - [Campaigns](https://bunkerdb.com/en/products/marketing-analytics/campaigns): Planning, monitoring, and measurement of marketing campaigns in a centralized analytics environment. - [Consumers](https://bunkerdb.com/en/products/marketing-analytics/consumers): Consumer profiles, segmentation, historical activity, and data activation. - [Reports](https://bunkerdb.com/en/products/marketing-analytics/reports): Custom reports, dashboards, KPIs, alerts, and reporting workflows. - [Social Media Analytics](https://bunkerdb.com/en/solutions/media/social-media): Organic social media analytics across major social platforms. ## Marketing Science and measurement - [Marketing Science overview](https://bunkerdb.com/en/solutions/science): Overview of Bunker DB's econometric, experimentation, media audit, creative audit, and causal measurement capabilities. - [Galicia case study](https://bunkerdb.com/en/blog/bank-galicia-media-mix-modeling-optimized): Case study on Marketing Mix Modeling, data unification, attribution, and media optimization. - [Liberty Latin America case study](https://bunkerdb.com/en/blog/case-study-liberty-latin-america): Case study on Marketing Mix Modeling and media investment optimization. ## Resources - [Resources](https://bunkerdb.com/en/resources): Hub for Bunker DB articles, case studies, newsroom content, events, and other educational resources. - [Marketing Analytics vs. Web Analytics](https://bunkerdb.com/en/blog/marketing-web-analytics): Guide explaining the scope, data sources, KPIs, and use cases of marketing analytics and web analytics. - [What is Marketing Data?](https://bunkerdb.com/en/blog/marketing-data): Guide to marketing data types, sources, structure, ownership, and decision-making use cases. - [Customer Journey in 2026](https://bunkerdb.com/en/blog/customer-journey-2026): Guide to omnichannel measurement, AI, Marketing Mix Modeling, and the modern customer journey. ## Company and commercial information - [About Bunker DB](https://bunkerdb.com/en/company/about-us): Company overview, values, market presence, and institutional information. - [Contact](https://bunkerdb.com/en/company/contact/): Official contact information and meeting request form. - [Pricing](https://bunkerdb.com/pricing): Current public plans, included capabilities, limits, and pricing information. ## Documentation - [Bunker DB Help Center](https://help.bunkerdb.com/en/): Operational documentation for setup, integrations, platform features, reporting, consumers, Social Listening, billing, and FAQs. - [About Bunker Analytics](https://help.bunkerdb.com/en/articles/6246958-about-bunker-analytics): General Help Center introduction to Bunker Analytics and its main capabilities. - [Custom Dashboards + ADA AI](https://help.bunkerdb.com/en/articles/16190963-custom-dashboards-ada-ai): Documentation on custom dashboards and ADA AI. ## Optional - [Spanish homepage](https://bunkerdb.com/): Spanish-language version of the Bunker DB website. - [Marketing Analytics - Spanish](https://bunkerdb.com/productos/marketing-analytics): Spanish version of the Marketing Analytics product page. - [Marketing Science - Spanish](https://bunkerdb.com/productos/marketing-science): Spanish version of the Marketing Science product page. - [Social Listening - Spanish](https://bunkerdb.com/productos/social-listening): Spanish version of the Social Listening product page. - [Customer Care - Spanish](https://bunkerdb.com/productos/customer-care): Spanish version of the Customer Care product page.