Rows

What is Rows?

Rows is an advanced spreadsheet tool designed to combine traditional spreadsheet functionalities with powerful AI capabilities and extensive integrations. It enables users to analyze, summarize, and transform data using natural language queries and AI formulas directly within the spreadsheet interface. Rows supports automation of workflows, real-time collaboration, and integration with over 50 popular business applications, making it ideal for teams seeking to streamline data-driven decision-making and reporting without complex coding or formulas.

Key Features

• AI Analyst

  Leverages natural language processing to perform data analysis, summarization, transformation, and visualization without requiring complex formulas.

• Native AI Integration

  AI features are built directly into the spreadsheet environment, allowing seamless combination of AI actions with traditional spreadsheet formulas and cell references.

• Extensive Integrations

  Connects with 50+ business tools such as Google Analytics, Salesforce, HubSpot, MailChimp, and Stripe to import and synchronize data effortlessly.

• Automation and Scheduling

  Supports scheduling and repeating tasks, enabling users to automate data refreshes, reports, and workflows within the spreadsheet.

• Collaborative Environment

  Facilitates real-time collaboration and sharing, allowing teams to work together on data analysis and reporting with ease.

• User-Friendly Interface

  Designed for users familiar with Excel or Google Sheets, Rows offers an intuitive experience with guided wizards and keyboard shortcuts.

Use Cases

• Marketing Analytics : Marketers can integrate data from multiple channels to generate comprehensive reports, track campaigns, and analyze SEO performance.
• Sales Operations : Sales teams can automate lead generation, track sales pipelines, and create dynamic dashboards to monitor performance.
• Financial Planning : Finance teams can build budgets, monitor cash flow, and perform cohort analyses with automated data updates and AI insights.
• Productivity Automation : Teams can automate repetitive spreadsheet tasks, schedule data refreshes, and streamline workflows to save time and reduce errors.
• Data-Driven Decision Making : Business professionals can ask natural language questions about datasets to quickly extract insights and make informed decisions.

FAQs