Best Customer Data Platforms (CDP) for Google Calendar

Find and compare the best Customer Data Platforms (CDP) for Google Calendar in 2025

Use the comparison tool below to compare the top Customer Data Platforms (CDP) for Google Calendar on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    OpenDQ Reviews

    OpenDQ

    Infosolve Technologies, Inc

    $0
    9 Ratings
    See Software
    Learn More
    OpenDQ is a zero-cost enterprise data quality, master and governance solution. OpenDQ is modularly built and can scale to meet your enterprise data management requirements. OpenDQ provides trusted data using a machine learning- and artificial intelligence-based framework. Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management 360 View of Customer Data Governance Business Glossary Meta Data Management
  • 2
    Adverity Reviews
    Adverity is the fully-integrated data platform for automating the connectivity, transformation, governance and utilization of data at scale. Adverity is the simplest way to get your data how you want it, where you want it, and when you need it. The platform enables businesses to blend disparate datasets such as sales, finance, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and powerful data governance features, Adverity is the easiest way to get your data how you want it, where you want it, and when you need it.
  • 3
    Planhat Reviews
    Planhat is a Customer Success Platform that makes Customer Success easy. Planhat is beautiful and simple to use. It can help you reduce churn and upsell more, increase user engagement, and maximize the lifetime value your customers. Planhat is designed for everyone, from the CS rep to C-Suite. It offers all the functionality and features that you would expect from a modern Customer Success Platform. The difference is in how easy it is to use and how simple it is to implement.
  • 4
    RevSetter Reviews
    Drive any sales or Customer Success motion and adapt it for each role and team, from CSM to Manager to CxO. RevSetter allows you to create workflows that are tailored to your team, customers and revenue journey. There is finally a solution for your data challenges. It doesn't matter if the data is structured or unstructured, or if it's in your favorite database or tech. Integrate RevSetter seamlessly using our unique data models and see the results. Powered insights, workflows and automation. RevSetter's powerful solutions, including the CS Audit, give you a 360-degree view of each lead, customer and portfolio. RevSetter elevates and enhances your strategy, and transforms it into day-to-day, actionable activities and outcomes for your team. This leads to happier customers, increased retention, and accelerated business growth.
  • 5
    Salesforce Data Cloud Reviews
    Salesforce Data Cloud is an online data platform that allows businesses to collect, harmonize, and analyze data in real time. This creates a 360-degree customer profile which can be used across Salesforce's various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. It allows businesses collect, harmonize and analyze data in real-time, creating a 360° customer profile that can then be used across Salesforce's different applications, including Marketing Cloud, Sales Cloud and Service Cloud. This platform allows for faster, more personal customer interactions through the integration of data from online and off-line channels, such as CRM data, transactional information, and third-party sources. Salesforce Data Cloud offers advanced AI and analytics capabilities that help organizations gain deeper insight into customer behavior, and predict future needs. Salesforce Data Cloud helps improve customer experiences, target marketing, and data-driven decision making across departments by centralizing and refining the data.
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