Best Customer Data Platforms (CDP) for Salesforce CRM Analytics

Your data warehouse is your source for truth about customer data. Hightouch syncs these data to the tools your business relies on. Your sales, marketing, customer success and customer service teams will have a 360@ view on the customer through the tools they trust. Eliminate tedious data requests. Hightouch operationalizes data warehouses to make analytics real. Better data can drive growth. Personalized campaigns can be run across all channels, including email, push, ads, and social media. You don't need engineering favors to iterate. Improved data can increase revenue. Target leads with custom PQL or MQL models. Sync one view of the customer with your CRM. Better data will prevent churn. Your CS CRMs should have a 360-degree view of your customers. You can use customer data to identify customers at risk. Your data warehouse contains all of your data. Analytics is just the beginning. Hightouch makes your data warehouse operational by empowering you with SQL to sync data to any SaaS platform.

SalesDirector.ai, a revenue data platform for B2B sales organizations, captures and delivers intelligent sales data and analytics to all revenue stacks. We collect email and calendar data from sales rep activity, and cross-reference that data with CRM data to provide predictive insights about their pipelines and behavior. These insights can be delivered directly to their CRM, or visualized in their favorite BI software (Tableau, Domo Google Data Studio, Power BI, Power BI, or Einstein Analytics). These predictive insights can help sales organizations optimize their opportunity pipelines, increase win-rates, and power their entire revenue stream with reliable, intelligent sales data. Leading companies such as MongoDB and JD Power, Digital Map and Wicresoft use SalesDirector.ai.

Insider One serves as an AI-driven platform for customer engagement and omnichannel marketing, seamlessly integrating customer data, personalization, predictive intelligence, and journey orchestration into one cohesive system. This allows marketing teams to provide immediate and tailored experiences across various channels, including web, app, email, SMS, WhatsApp, push notifications, and site search, all without the need to toggle between different tools. By analyzing customer behavior, it can foresee interests and subsequent actions, which empowers marketers to accurately segment their audiences, initiate automated journeys, and enhance campaigns using real-time AI that predicts needs while boosting engagement and conversion rates. Additionally, the platform features a built-in Customer Data Platform (CDP) that integrates data from over 100 connectors, forming unified customer profiles for customized messaging and insightful recommendations. Users are equipped to craft and automate interconnected experiences using a visual canvas that incorporates triggers and conditions, allowing for A/B testing and the initiation of personalized interactions, thus enhancing overall marketing effectiveness. Moreover, Insider One's adaptability ensures that it can evolve alongside changing customer preferences, further solidifying its value in the dynamic landscape of digital marketing.

Simon AI is a marketing platform driven by artificial intelligence, aimed at assisting organizations in leveraging customer data to effortlessly initiate personalized campaigns across various digital platforms. By merging a flexible customer data system with self-sufficient AI agents, it assesses customer behaviors, contextual cues, and business metrics to develop precisely tailored marketing experiences. Rather than having marketing teams manually sort through audience segments or execute intricate queries, Simon AI empowers marketers to establish business objectives, like boosting conversions, reducing churn, or encouraging repeat purchases, while its AI agents take care of data organization, insight extraction, and campaign implementation. Furthermore, it incorporates a variety of information, including customer interactions, transaction history, and contextual variables such as browsing habits, inventory status, weather fluctuations, and social media activity, to facilitate timely and pertinent marketing responses. This innovative approach not only streamlines marketing efforts but also enhances the relevance of customer interactions, ultimately leading to improved business outcomes.