Rows
Data AnalysisUpdated October 5, 2026
Rows is an AI-powered spreadsheet that connects to live data tools for automated analysis, classification, and reporting.
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What is Rows?
Rows is a spreadsheet built for the API era. It scraps the old ritual of exporting CSVs from Stripe or Google Analytics by connecting directly to your business tools and pulling live data into cells. While Excel forces you into nested VLOOKUP hell, Rows lets you use an AI Analyst to summarize trends or generate pivot tables using plain English prompts. I noticed it feels more like a low-code app builder than a static ledger, especially since you can turn any table into an interactive form or a web-facing calculator without touching a line of JavaScript. This removes the friction of manual data entry and lets teams share live, interactive dashboards that actually stay current. Use it to kill your manual reporting workflows, but stick to traditional sheets if you need deep offline capability or legacy VBA support.
How to start using Rows?
Start by creating an account and landing in a workspace that feels like a standard spreadsheet but stripped of the usual desktop clutter. You can import a CSV or link an integration like Google Analytics or Stripe right away. The real change happens when you open the AI Analyst in the side panel. This isn’t just a chatbot; it suggests transformations based on your specific columns, like extracting domains from a list of emails or categorizing messy transaction data. This helps you skip the “blank page” problem and get straight to the logic.
Instead of hunting for complex syntax in documentation, type your request in the AI Analyst using Build mode. If you need to find the sentiment of 500 product reviews, the AI writes the =SENTIMENT_AI() formula and populates the column for you. It handles the API heavy lifting behind the scenes so you don’t have to manage your own keys. This matters because it removes the technical barrier between having a data question and seeing the answer in a cell.
When you’re ready to automate, use the Data Actions menu to find Rows AI functions. You can stop ongoing computations or roll back to previous versions using checkpoints if an AI suggestion messes up your layout. The autocomplete is surprisingly fast now that they’ve simplified function names to end in AI(). This avoids the frustration of broken macros or the “Excel is not responding” spinning wheel when handling a few thousand rows.
The transition from analysis to sharing is a single click to publish your sheet as a web app. Unlike traditional spreadsheets that look like a wall of text when shared, this converts your tables into a clean, interactive interface for your team. It’s great for internal tools or calculators, though less ideal if you need deep, specialized accounting features found in legacy software. Your data becomes a living tool rather than a static attachment.
Who is it for?
Growth Marketers
Stop manually exporting LinkedIn ads or Facebook data. Rows pulls live metrics directly into cells, so you spend time tweaking campaigns instead of fixing broken CSV imports. Your spreadsheet becomes a live marketing command center.
Solo SaaS Founders
You need a dashboard but hate building custom internal tools. Connect Stripe and Google Analytics to monitor MRR and traffic in one place without writing a line of code. You get professional-grade visibility on a bootstrapped budget.
Data-driven Content Strategists
If you need to categorize 500 blog headlines by sentiment or topic, the built-in AI does it without script editing. It gets through messy user-generated text much faster than manual tagging, so you can analyze qualitative feedback at scale.
Sales Ops Specialists
Enrich lead lists by pulling company data directly into your sheet via built-in integrations. You avoid the constant context-switching between LinkedIn, CRMs, and spreadsheets. Automating the boring data entry speeds up the prospecting cycle.
Financial Analysts at Small Agencies
Use it to build interactive calculators that clients can actually use. You can turn a boring table into a clean, web-ready interface that looks like a custom app. Your deliverables end up looking more premium than a standard attachment.
Product Managers
Track sprint progress by syncing Jira or GitHub issues to a spreadsheet that stays current. It beats manually updating progress bars for stakeholders every Friday morning. The result is a single source of truth that doesn’t rot.
Rows pricing
Rows pricing doesn’t hide behind “Contact Us” buttons unless you’re actually an enterprise. The tiers scale based on how much automation you need to run and how many AI credits you consume each month. While the core spreadsheet is free, you’re essentially paying for the infrastructure that connects your sheets to live data and LLMs.
Includes 5 AI tasks and manual data imports. This is your sandbox for testing logic before committing. You can build a full prototype without a credit card.
Grants 200 AI tasks and daily automated data refreshes. It handles the boring parts of pulling marketing or sales metrics every morning. Your dashboards stay current without manual exports.
Boosts you to 1,000 AI tasks and refreshes data every minute. It’s built for heavy workflows where lag in data means missing a lead or an error. This matters because it bridges the gap between a spreadsheet and a real-time data app.
Custom pricing. Removes usage caps and adds custom AI models. Necessary for teams requiring SAML SSO or high-volume API access. That covers the security and scale IT departments require.
Rows key features
Built-in Data Integrations
Connect directly to tools like Google Analytics, LinkedIn Ads, or Stripe without manually exporting CSVs every morning. This eliminates the “download-upload” loop that usually leads to outdated reports by 10:00 AM. The result: one source of truth that refreshes itself.
AI-Powered Formula Assistant
Type your request in plain English to generate complex logic or clean up messy text strings. It helps when you can’t remember the exact syntax for a nested IF statement or need to categorize 500 product descriptions instantly. Anyone can work like a power user without a Python degree.
Social Media and Web Scraping Functions
Pull live follower counts, SEO metadata, or company info directly into cells using specialized functions. This is particularly helpful for growth teams tracking competitor movements in real-time. In effect, you build automated monitoring systems inside a familiar spreadsheet interface.
Interactive Embedding
Put your live spreadsheets into Notion pages, websites, or slide decks while keeping the formatting intact. Unlike static screenshots, these embeds allow viewers to toggle filters and see updated numbers without leaving their workspace. Why this matters: It stops the “is this the latest version?” Slack threads entirely.
Clean, Modern UI for Dashboards
Ditch the gray grids for a layout that looks like a custom web app by default. It’s great for client-facing reports where Excel looks too “internal,” though it might feel too simplified for those used to heavy-duty financial modeling. Your data looks professional and readable the moment you share the link.
Rows Pros & Cons
Pros
Rows replaces the static ritual of CSV exports with live data integrations. You can pull marketing metrics or bank transactions directly into cells without manual downloads. I noticed the AI analyst handles classification tasks—like tagging expenses or sentiment—surprisingly well using plain English prompts. This eliminates the 60-80% of time typically wasted on data cleaning. Because it operates as a cloud-native engine, multiple people can interact with live logic simultaneously without version conflicts. This transparency ensures everyone sees the source data next to the AI’s output, removing the “black box” risk found in standalone chatbots. Start with a pre-built template to see how the API connections function before building custom waterfalls.
Cons
The platform excels at connectivity but feels less suited for deep, multi-million row heavy lifting compared to specialized big data environments. While the AI simplifies formulas, users still need to understand spreadsheet logic to troubleshoot complex edge cases. Relying on third-party APIs also means your dashboard speed depends on their response times. This trade-off means you exchange total local control for live automation. Advanced users might find the interface slightly restrictive if they are used to the decades of deep UI customization available in legacy desktop software. Treat Rows as your persistent, live integration hub rather than a replacement for offline, high-volume statistical processing.
Use Rows if you want…
- Automate workflows by connecting directly to live business tools.
- Summarize complex datasets instantly with an integrated AI Analyst.
- Build interactive dashboards that embed cleanly into Notion pages.
- Classify and translate text using built-in OpenAI capabilities.
- Enrich lead lists with data from public social databases.
- Schedule automated data refreshes to eliminate manual CSV exports.
- Create beautiful, responsive reports without writing any code.
Rows alternatives
Rows Reviews
More powerful than any other spreadsheet tool for large volumes of data; the AI integrations make lead generation and data enrichment feel like cheating.
The built-in AI is incredibly easy to use for classification, but the interface takes some getting used to if you are coming from Excel.
Excellent for automating marketing reports without needing Zapier, though the free version is quite limited for heavy users.
It is like having a data analyst inside your spreadsheet; the social media and CRM integrations saved our team hours of manual entry.
FAQ
Can I connect Rows to my LinkedIn Ads account?
Yes, Rows features a native LinkedIn Ads integration that allows you to retrieve insights about your ad accounts, metrics for campaign groups, and specific campaign performance data directly into your spreadsheet.
Does Rows offer an AI Analyst?
Rows includes an AI analyst that can automatically turn your numbers into visual stories, extract trends from datasets, generate pivot tables, and slice your data based on natural language questions.
What kind of integrations does Rows support?
Rows offers more than 50 native integrations, including social media platforms like LinkedIn and Facebook, marketing tools like Google Analytics 4 and HubSpot, and database connections such as Snowflake and BigQuery.
Can I automate data refreshes in Rows?
Yes, you can schedule automatic data refreshes for your integrations, ensuring that your reports and dashboards always display the most recent data without manual intervention.
Is there an offline version of Rows?
Currently, Rows is a web-based platform and does not offer an offline application, as it relies on live API connections to sync and update data from various sources.
Can I use Rows to track competitor performance on social media?
Rows provides specific templates for competitive analysis, allowing you to compare the performance of different LinkedIn accounts and benchmark metrics like follower growth and engagement rates.
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