Rows Review: The Spreadsheet Built for Modern Teams (2026)

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Rows is a spreadsheet that takes a fundamentally different approach: instead of being an offline calculation tool, it’s built to live inside your data stack. Native integrations, built-in automations, and AI-powered analysis differentiate it from Google Sheets and Excel.

The Core Idea

Traditional spreadsheets require manual data exports or third-party connectors (Zapier, Make) to stay current. Rows bakes integrations directly into the spreadsheet:

Google Sheets workflow:
1. Export CSV from Stripe
2. Import into Google Sheets
3. Manually update formulas
4. Repeat daily

Rows workflow:
1. Connect Stripe integration once
2. Rows pulls live data automatically
3. Formulas always run on current data
4. Share link with stakeholder — they see live data

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Native Integrations

Rows connects directly to 50+ services:

Marketing stack:

• Google Analytics 4 — sessions, conversions, revenue
• Google Ads — campaigns, spend, ROAS
• Facebook Ads — ad performance data
• HubSpot — contacts, deals, activity
• Mailchimp — campaign metrics, list growth

Finance and payments:

• Stripe — MRR, churn, payment data
• QuickBooks — invoices, expenses, P&L

Product and engineering:

• GitHub — issues, PRs, commit activity
• Jira — sprint velocity, ticket status
• Mixpanel / Amplitude — product metrics

Integration example — Stripe MRR dashboard:

Step 1: Add Stripe integration (connect with API key)

Step 2: Use Stripe functions in spreadsheet:
=STRIPE.listCustomers(limit: 100, status: "active")
=STRIPE.retrieveSubscription(subscriptionId: A2)

Step 3: Build formulas on top of live data:
=SUMIF(B:B, "active", D:D)  // Active MRR

Step 4: Set refresh schedule: every hour

Step 5: Share link — finance team sees live dashboard
No CSV exports. No Zapier. No manual updates.

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AI Analyst

Rows AI lets you query your spreadsheet in plain English:

How it works:

You have a spreadsheet with 1,200 rows of sales data:
- Deal name, Stage, Amount, Close date, Owner, Industry

Ask AI:
"Which sales rep has the highest average deal size?"
→ AI writes the formula and returns: Sarah (avg $48,200)

"What's the win rate by industry?"
→ AI generates a pivot-style analysis table

"Show me deals closed in Q4 2025 that were over $50K"
→ AI creates a filtered view with the matching rows

"Write a summary of this pipeline for the board"
→ AI reads the data and writes a narrative paragraph

AI formula generation:

You: "I need to calculate the customer lifetime value"
AI: "Here's the formula based on your data:
     =AVERAGE(D:D) / AVERAGE(E:E) * 12
     Where D is monthly revenue and E is churn rate"

You: "Add a column that flags deals likely to close this quarter"
AI: Writes =IF(AND(MONTH(H2)=MONTH(TODAY()), B2="Negotiation"), "Hot", "")

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Automations

Rows runs automations on schedule without third-party tools:

Example: Weekly sales report to Slack

Trigger: Every Monday at 9am

Actions:
1. Refresh Salesforce integration (pull latest deals)
2. Run calculation formulas (weekly new ARR, deals closed, pipeline change)
3. Send Slack message to #sales-weekly:
   "Week of {{date}}: 
   Closed: ${{ARR}} ARR across {{count}} deals
   Pipeline added: ${{pipeline}}
   Top closer: {{topCloser}}"

Example: Daily anomaly detection

Trigger: Every day at 7am

Actions:
1. Pull yesterday's data from Google Analytics
2. Compare to 30-day average
3. IF traffic < 70% of average: send email alert to marketing team
4. Update dashboard with daily metrics

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Shareable Spreadsheets

Unlike Google Sheets (which requires a Google account to view unless fully public), Rows allows sharing interactive spreadsheets with anyone:

Use case: Sharing a pricing calculator with prospects

Build in Rows:
- Input fields: company size, usage volume, plan type
- Formulas: calculate price based on inputs
- Output: total price, per-seat cost, annual vs monthly savings

Share link with prospect:
- They adjust inputs and see price update instantly
- No login required
- You see their interactions in Rows analytics
- Can embed in your website

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Rows vs. Google Sheets vs. Excel

Feature	Rows	Google Sheets	Excel
Native integrations	50+ (built-in)	Via add-ons	Via Power Query
AI features	AI Analyst	Gemini (experimental)	Copilot (M365)
Formula library	Good	Excellent	Excellent
Offline use	No	Limited	Yes
Collaboration	Good	Excellent	Good (OneDrive)
Sharing (no login)	Yes	With settings	Limited
Automations	Built-in	Apps Script	Power Automate
Large datasets	<50K rows	<1M rows	>1M rows
Pricing	$59/team/mo	Free	$9.99/user/mo

Choose Rows when: You need live data from SaaS tools, want to share interactive spreadsheets externally, or are building lightweight internal dashboards.

Choose Google Sheets when: Collaboration and formula breadth matter most, you’re in Google Workspace, or budget is a constraint.

Choose Excel when: Complex financial models, large datasets, offline work, or deep integration with Microsoft 365.

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Pricing

Plan	Price	Key Features
Free	$0	2 integrations, 5 automations, limited rows
Plus	$29/user/month	Unlimited integrations, automations
Team	$59/month (5 users)	Collaboration features, priority support
Business	Custom	SSO, advanced permissions

The free plan is quite limited — meaningful use requires Plus or Team.

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Who Rows Is For

Best for: Revenue ops teams tracking SaaS metrics, marketing teams building campaign dashboards, small teams who want live data without engineering help, sales leaders building pipeline reports.

Not ideal for: Complex financial modeling (use Excel), large-scale data analysis (use SQL + Metabase), teams heavily invested in Google Workspace.

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Bottom Line

Rows delivers on its promise: a spreadsheet that connects to live data without code. The AI Analyst feature is genuinely useful — querying your data in plain English saves real time. The ecosystem and formula library aren’t as mature as Google Sheets or Excel, but for SaaS metrics dashboards and live data reporting, Rows fills a real gap. Rate 4.1/5.