CRM Choices: What To Use, When To Switch

A spreadsheet works for 10 customers. 100 need a CRM. Here's how to pick and when to upgrade.

30 min · Reviewed 2026

A CRM is just a list of people you talk to and what's happening with them. At 10 customers, a Google Sheet is enough. At 100, you're losing track of follow-ups. At 500, you need automation. Pick the tier of tool that matches your actual volume, not the one you aspire to.

The CRM ladder

Tier	Tool	When
0	Google Sheet	< 20 active conversations
1	Notion or Airtable	20-100, you want light automation
2	HubSpot Free / Attio	100-500, need real pipeline + email integration
3	HubSpot Pro / Salesforce	500+ or team, complex workflows
Niche	Streak (Gmail-native) / Pipedrive	Specific workflow preferences

The five fields that matter

Name + company
Stage (lead / contacted / call booked / proposal / won / lost)
Last touch date
Next step (what you owe them, by when)
Notes from most recent conversation

Everything else is optional. More fields = more things to keep updated = less likely you'll update anything. Five fields, disciplined.

Attio — the modern default for small teams

In 2025-2026, Attio has become the default for teen and small-team founders. It's fast, has a free tier generous enough for small outbound, integrates with Gmail, and feels more like a database than a rigid old CRM. HubSpot Free is the bigger-company comfort pick. Salesforce is overkill until you have a sales team.

A Claude prompt to set up your CRM

"I'm setting up [HubSpot Free / Attio]. My sales process is: 1. [Describe your pipeline stages] 2. [Typical deal cycle length] 3. [Team size — solo / co-founder / small team] Design me: - The 5-7 pipeline stages with clear entry/exit criteria for each - The 5 required fields per contact (minimum viable) - Rules for what moves a deal forward or back - 3 automations I should set up on day one (e.g., auto-task after 7 days no contact) - A weekly CRM hygiene ritual (15 min, what to review) Keep it simple. If I can't explain it to a new intern in 5 minutes, it's too complex."CRM setup guide

The 'integrate, don't import' rule

Connect your CRM to Gmail, Calendly, and your product. Logging should be automatic where possible — emails and calls attached to contacts without you copy-pasting. The less manual data entry, the more likely the CRM stays accurate. Manual CRMs rot inside 60 days.

What 'good' looks like

A good CRM setup: every active conversation has a row, every row has a next step with a date, nothing is older than 7 days with no activity without a flag, and the weekly review is an hour you actually do. Tool matters less than discipline. A perfectly maintained Google Sheet beats a neglected Salesforce install.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-business-crm-choices-adults

What is the main idea of "CRM Choices: What To Use, When To Switch"?
1. A spreadsheet works for 10 customers. 100 need a CRM. Here's how to pick and when to upgrade.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "CRM Choices: What To Use, When To Switch"?
1. HubSpot
2. CRM
3. Attio
4. pipeline
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. Name + company
4. Treat the AI output as automatically correct
What should a careful learner remember about "The 'CRM update after every call' habit"?
1. Use AI to draft or organize ideas about CRM, then verify before acting.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use AI as a workflow assistant, with human review for decisions that carry risk.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about CRM be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about CRM.
Which action would help you apply "CRM Choices: What To Use, When To Switch" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Treat the AI output as automatically correct
4. Stage (lead / contacted / call booked / proposal / won / lost)

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Tendril · Adults & Professionals · AI for Business