Transforms your data warehouse into an AI-powered marketing engine.
Enables marketers to unify, enrich, and activate customer data without code or SQL.
Offers modular components for audience activation, AI intelligence, and customer insights.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
Fast deployment, often within 24 hours or less
Empowers marketing teams without requiring SQL or engineering resources
Leverages existing data warehouse, avoiding data migration and vendor lock-in
AI-driven insights for better targeting and personalization
Modular and composable architecture allows users to choose needed functionalities
Cons
Requires an existing data warehouse infrastructure
Specific pricing details are not publicly available on the website
May require some initial setup or understanding of data warehousing concepts
Preview
Key Features
Warehouse-native CDP integrationAI-powered customer behavior prediction (LTV, churn risk, product preferences)No-code audience segmentation and targetingReverse ETL for syncing data to marketing toolsReal-time site and app data trackingCustomer 360-degree view (Customer Hub)Data identity resolution and unificationZero-data copy technology for compliance (GDPR, FADP)
DinMo is a Composable Customer Data Platform (CDP) that transforms an existing data warehouse into a powerful marketing engine. It's designed to unify, enrich, and activate customer data seamlessly, empowering marketing teams to execute smarter campaigns without extensive technical knowledge. Unlike traditional CDPs, DinMo is modular, integrates natively with existing data infrastructure, and keeps customer data within the user's own data environment, avoiding vendor lock-in.
The platform offers various modules including Activation for audience syncing, Intelligence for AI-powered targeting, Customer Hub for a rich customer view, Identity for data cleaning and unification, Tracking for real-time data capture, and Hosting for a tailored cloud data warehouse. It enables marketers to build segments, personalize emails, enrich profiles, and orchestrate omnichannel journeys without SQL. DinMo also leverages proprietary AI to predict customer behavior, such as LTV, churn risk, and product preferences, allowing for highly targeted campaigns. It integrates with over 40 media channels and marketing tools, facilitating rapid deployment and activation of customer data for acquisition, marketing automation, and revenue operations.
How does DinMo's AI predict customer behavior, and what specific metrics does it forecast?
DinMo's proprietary AI learns from customer habits to forecast key metrics. It predicts customer Lifetime Value (LTV), identifies churn risk, and anticipates product preferences, enabling marketers to create highly targeted campaigns.
What is the primary benefit of DinMo's zero-data copy technology for European users?
DinMo's zero-data copy technology ensures compliance with local European data protection laws, such as GDPR and FADP. This approach helps maintain data privacy and security by not duplicating sensitive customer information.
How quickly can a business expect to launch and activate their first campaign using DinMo?
DinMo is designed for rapid deployment, allowing businesses to get up and running in under 24 hours. Many users, like Krüger Dirndl, have achieved their first activation in as little as 60 minutes.
Beyond audience sync, what other critical data can DinMo send to advertising platforms to improve campaign performance?
In addition to syncing audiences, DinMo can send conversion events directly to media platforms. This enables value-based optimization and new smart bidding strategies, leading to improved matching rates and reported conversions.
Which specific modules can users choose from to build their composable CDP with DinMo?
Users can choose from several modules including Activation for audience syncing, Intelligence for AI-powered targeting, Customer Hub for a rich customer view, Identity for data unification, Tracking for real-time data capture, and Hosting for a tailored cloud data warehouse.