Choosing the Right CRM Field Types for Your Sales Data

Why structured fields matter and which field types solve common data quality problems in your CRM.

Salva Sanchiz

Salva Sanchiz · Founder & CEO

/ 3 min read / Art. #03

The most common mistake teams make when setting up a CRM is using free-text fields for everything. "Status: active" in one record, "Active" in another, "active client" in a third. Three records, three values, zero ability to filter or report on them. Field types exist to prevent exactly this kind of data chaos.

The problem: free-text fields create data entropy

Every time a user types a value instead of selecting it, you introduce variation. A Harvard Business Review study found that only 3% of companies' data meets basic quality standards. In a CRM, poor data quality means lost deals, you can't filter for "all active clients" if the status field has 12 different spellings of "active."

Field types that enforce structure

Modern CRMs offer field types specifically designed to constrain input to valid values. Here are the most important ones:

  • Select (single and multi): Predefined options like "Lead," "Qualified," "Won." Users pick from a list, so values are always consistent. Use for status, industry, source, or any categorical data.
  • Date: Stores actual date objects, not text strings. "April 5" and "4/5/2026" become the same value. You can sort, filter by range, and calculate time between dates.
  • Phone (with country code): Validates format and stores the country code separately. No more guessing whether "+34 612 345 678" and "612345678" are the same number.
  • Currency: Stores amount and currency code together. EUR 5,000 and USD 5,000 are different values. Essential for international sales teams.
  • Email: Validates format on entry. Catches "john@gmial.com" before it becomes a bounced email in your next campaign.
  • Relation: Links records across tables. A contact belongs to a company. A deal belongs to a contact. Relations let you navigate your data as a connected graph, not isolated rows.

How to design your field schema

Start simple. When you first set up your CRM, define only the fields you need today, not the ones you might need in six months. A good starting schema for a contacts table:

  • Name (text)
  • Company (relation to companies table)
  • Email (email)
  • Phone (phone with country code)
  • Status (select: Lead, Active, Churned)
  • Last contacted (date)
  • Deal value (currency)

You can always add fields later. Adding a field is cheap, cleaning up six months of unstructured data in a text field is expensive.

Real examples of field types preventing bad data

Consider a "Deal close date" field. As free text, your team enters "next Friday," "Q2," "June-ish," and "2026-06-15." None of these can be sorted or filtered reliably. As a date field, there's exactly one format, and your pipeline report shows an accurate timeline.

Or take "Lead source." As free text: "Google," "google ads," "Google Ad," "paid search." As a select field with predefined options: "Google Ads," "Organic Search," "Referral," "Cold Outreach." Now your marketing attribution report actually means something. When only 3% of companies' data meets basic quality standards, poor field design is often the root cause, and the main reason small businesses abandon their CRM within months.

The right field types don't just organize your data, they make your CRM trustworthy. When your team trusts the data, they actually use the tool.

Frequently asked questions

What are the main CRM field types?

Six carry most of the work: select (single and multi) for categorical values like status, industry or source; date for anything you will sort or measure between; phone with a country code stored separately; currency, which holds the amount and the currency code together; email, which validates format on entry; and relation, which links a contact to a company or a deal to a contact. Text is the seventh and it is the one to use least.

Why are free-text fields a problem in a CRM?

Because every time someone types a value instead of selecting one, they introduce variation. You cannot filter for "all active clients" when the status field holds twelve spellings of active. A Harvard Business Review study found only 3% of companies' data meets basic quality standards, and in a CRM poor field design is often the root cause rather than carelessness.

What is a select field, and when should I use one?

A select field offers a fixed list of options and the user picks one, so the stored value is always consistent. Use it for anything categorical: deal stage, lead source, industry, client status. The test is whether you would ever want to filter or group by the field. If you would, it is a select, not a text box.

What is a relation field in a CRM?

A relation links records across tables: a contact belongs to a company, a deal belongs to a contact. It is what turns a set of isolated rows into a graph you can navigate. Without it you end up retyping the company name onto every contact, which is the same entropy problem one level up.

Should phone numbers be stored as text?

No. A phone field validates the format and keeps the country code separate, so "+34 612 345 678" and "612345678" resolve to the same number instead of looking like two contacts. The same argument applies to email, where format validation catches a typo like "gmial.com" before it becomes a bounce in your next campaign.

What fields should a CRM contact record start with?

Seven are enough on day one: name as text, company as a relation to the companies table, email, phone with country code, status as a select of lead, active and churned, last contacted as a date, and deal value as currency. That schema answers the questions a small team actually asks in its first months.

How many fields should a CRM have to begin with?

Only the ones you need today, not the ones you might need in six months. Adding a field later is cheap. Cleaning up six months of unstructured values that accumulated in a text field is expensive, and it is the work most teams never get around to.

What happens if I choose the wrong field type?

You pay for it in the cleanup rather than in the setup. A deal close date kept as free text collects "next Friday", "Q2", "June-ish" and "2026-06-15", none of which sorts or filters, and converting them afterwards is manual. This is why field design is worth twenty minutes at the start: it is the cheapest moment it will ever be.