
When Alex, a solo agency owner, tried to manage deals in scattered docs and DMs, he kept missing follow-ups. Revenue was spiky, forecasting was a guess, and every Monday started with a manual pipeline rebuild.
Free sales pipeline software changes that. Tools like Google Sheets, paired with lightweight CRMs, give you a single view of every opportunity: stage, value, owner, next step. You can customize stages to match your sales motion, add filters for hot deals, and build quick charts to spot bottlenecks. Drawing on ideas from tools like HubSpot, Pipedrive, and Flowlu, you can recreate the essentials for zero cost: clear stages, activity tracking, and simple dashboards.
The real unlock is when an AI computer agent sits on top. Instead of humans keying in every call note or moving rows between stages, the agent reads emails, updates the sheet, flags stuck deals, and even drafts outreach. Alex stopped rebuilding his pipeline every week and started walking into Monday with a live, agent-maintained board that told him exactly who to call and why.
Growing teams all hit the same wall: the sales pipeline lives in someone’s head, a half-updated CRM, and a messy spreadsheet. Let’s turn Google Sheets into your best free sales pipeline software, then show how to scale it with no‑code and AI agents.
Reference: Google’s help on creating and formatting spreadsheets: https://support.google.com/docs/answer/6000292
Google’s chart guide: https://support.google.com/docs/answer/63824
Pros (manual):
Cons (manual):
Once the basics work, you can bolt on no‑code tools so reps spend less time updating Sheets and more time selling.
Use Google Forms or your website forms integrated with Sheets.
Docs: https://support.google.com/docs/answer/2917686
With tools like Zapier or Make:
Result: reps only change the Stage; your no‑code stack handles the admin.
Use Google Sheets' Explore and connected charts:
Pros (no‑code):
Cons (no‑code):
At some point, your constraint is no longer the template; it’s the keystrokes. This is where an AI computer agent like Simular Pro starts to feel like another team member sitting at a desk, living inside your tools.
Using Simular Pro’s desktop and browser automation, you can:
Because Simular Pro is designed to automate nearly anything a human can do on a desktop, you are not limited to APIs – it literally clicks, types, and navigates your browser.
You can also have Simular agents run prospect research and push it into your pipeline:
Pros (AI agent at scale):
Cons (AI agent at scale):
Combine everything:
This layered approach lets a scrappy business owner or agency start with a simple sheet, then graduate to a semi-autonomous pipeline without ripping anything out. You keep control of the logic; the AI agent just takes over the clicking, typing, and tab‑switching you and your team don’t have time for.
Start by designing the sheet around how you actually sell, not how software wants you to sell. Create a new spreadsheet called 'Sales Pipeline' and add core columns: Deal ID, Company, Contact, Email, Deal value, Stage, Owner, Next action, and Next action date. Then define 5–7 clear stages that mirror your real process, such as Lead, Qualified, Meeting, Proposal, Closing, Won, and Lost. Use Data → Create a filter so reps can slice by stage or owner. Freeze the header row to keep columns visible. Finally, add simple data validation on the Stage column so users can only pick from your approved list. This keeps the pipeline clean and reportable, even as multiple people collaborate in the same Google Sheets file.
The key is to reduce the number of times a human has to touch the sheet. First, feed new leads in automatically: connect Google Forms or your website form to Google Sheets so every submission creates a new row with the right headers. Second, use no-code tools like Zapier or Make so that when a row’s Stage changes (for example, to Meeting), it automatically sends a calendar invite, follow-up email, or Slack reminder. Third, schedule a weekly 'hygiene hour' where your team filters by outdated Next action dates and cleans those up. Once this works, layer in an AI computer agent such as Simular Pro that logs into Gmail, reads email replies, and updates stages and last-contacted dates in Sheets, dramatically cutting manual edits.
Turn your raw pipeline into insights by adding a 'Metrics' tab. Use Data → Pivot table to group deals by Stage and sum Deal value, giving you a snapshot of total pipeline value and distribution. Create another pivot grouped by Owner to see rep-level volumes. Add calculated fields like expected value (Deal value × probability by stage). Then insert charts (Insert → Chart) to visualize deals by stage and value over time. For more advanced users, connect Google Sheets to Looker Studio or similar BI tools via the native connector. Remember that reports are only as good as the data, so pair them with lightweight guardrails: dropdown validation on Stage, required Deal value for Proposal and beyond, and regular cleanups, ideally supported by an AI agent that flags anomalies.
Think of Google Sheets as your flexible control tower and other tools as specialized instruments. You can export deals from CRMs like HubSpot or Pipedrive as CSV and import them into Sheets for custom analysis or ad-hoc forecasting. Use integrations or no-code platforms so that changes in your CRM (new deal, stage change, closed-won) append or update rows in your master spreadsheet. This gives operations and leadership a single, customizable view without forcing everyone into one tool. An AI computer agent such as Simular Pro can go further: it can log into both the CRM and Google Sheets, reconcile data, fill in missing fields, and highlight discrepancies, all by clicking and typing as a human would. That way, you keep costs low while enjoying a unified, trustworthy pipeline.
Start by locking in your schema: consistent column names, stage definitions, and conventions for deal owners and IDs. Next, document your ideal manual workflow: how you triage new leads, when you move stages, what counts as 'Qualified' versus 'Meeting'. Then configure a Simular Pro AI agent to replicate this behavior across Gmail, LinkedIn, your CRM, and Google Sheets. For example, instruct it to scan email replies daily, update Stage and Last contacted, and create follow-up tasks in your task manager. Test on a sandbox copy of the sheet, reviewing each transparent step and refining prompts. Once accuracy is high, connect the agent via webhook to your production pipeline so it runs on a schedule or on demand. Over time, you can extend it to prospect research, list building, and even drafting outbound sequences, while Google Sheets remains the reliable, free source of truth.