Best Revenue Operations Software for Google Cloud BigQuery

Find and compare the best Revenue Operations software for Google Cloud BigQuery in 2026

Use the comparison tool below to compare the top Revenue Operations software for Google Cloud BigQuery on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Salesforce CRM Analytics Reviews

    Salesforce CRM Analytics

    Salesforce

    $50 per user per month
    CRM Analytics from Salesforce is a robust analytics platform designed to help businesses leverage their data to drive better outcomes. By combining AI-powered predictions with data insights, CRM Analytics enables businesses to quickly uncover actionable intelligence and make decisions faster. The platform offers customizable dashboards and key performance indicators (KPIs) tailored to different industries and roles, ensuring that businesses get valuable insights without needing to rely on complex data models. Integration with over 50 external data connectors allows businesses to get a complete view of their customer data, enhancing sales, service, and marketing strategies. CRM Analytics also automates repetitive tasks, streamlining operations and providing a more personalized experience for both employees and customers. With its ability to auto-scale and support billions of rows of data, the platform is built to grow with enterprises, offering secure, governed insights directly within the Salesforce workflow.
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    Rox Reviews

    Rox

    Rox

    $50 per month
    Rox is an innovative platform powered by AI that aims to revolutionize the way enterprise sales teams interact with their clients. By consolidating disparate data sources, including CRM entries, call recordings, and transaction systems, Rox creates a comprehensive central system of record. It also employs an "agent swarm" of AI assistants that are always active, monitoring accounts to identify risks and opportunities in real time, crafting personalized outreach messages, and automating various administrative tasks. Designed to be integrated with data warehouses, Rox seamlessly connects to existing data infrastructures and enhances them with external signals such as news, job postings, and financial updates. The platform presents actionable insights through voice, chat, or workflow formats, ensuring that users can easily access relevant information. Additionally, Rox integrates smoothly with traditional tools and is tailored for account-based revenue strategies, enabling sales professionals to regain several hours each week, boost engagement by over 30%, and even double their sales-accepted pipeline in early customer implementations. This positions Rox as a vital asset in modern sales operations, ultimately driving better performance and efficiency across the board.
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    Fullcast Reviews
    Fullcast empowers Go-to-Market teams to deliver superior outcomes through proprietary solutions powered by AI. Our software and strategic solutions help thousands of go-to-market professionals optimize operations, proactively engage with their customers, and inform go-to-market decisions. Go-to-market teams struggle to align and execute on their plans. We make it easy. Working with go-to-market data can be incredibly difficult. Fullcast opens a world of opportunity for marketing, sales, strategy, operations and customer success teams by creating a foundation of accurate data and real-time insights. With our unique expertise in go-to-market planning and execution, we help B2B companies everywhere realize their full potential.
  • 4
    Forwrd Reviews
    Establish your key performance indicators (KPI), and Forwrd will develop a predictive scoring model that takes into account the elements that are closely associated with your KPI. With predictive scoring, you can uncover and rank leads more swiftly and accurately, allowing you to prioritize your outreach effectively. Systematically evaluate accounts along with their corresponding leads through account scoring, while also tackling customer retention by pinpointing and analyzing the factors that contribute to churn. Furthermore, identify product-qualified leads to optimize lead prioritization and enhance sales productivity. Create a self-evolving scoring model that autonomously detects new factors impacting conversions within your data and refreshes itself without any manual intervention. Effortlessly recognize churn indicators, uncover chances to exceed the expectations of your top customers, and empower your frontline personnel to enhance customer retention rates. The no-code approach means that you can construct and implement AI scoring models independently, without the need for dedicated data teams, facilitating a more streamlined process. This empowers businesses to adapt quickly to changing market dynamics and customer behavior.
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