Tags and custom fields: organize your clients your way

Imagine you have 800 clients saved and tomorrow you want to message only the ones who live nearby, prefer mornings and have not returned in six months. If your only tool is searching by name, that task is impossible. If your database is well organized, it is three clicks away. The difference between those two situations has a name: tags and custom fields.

Almost every CRM offers both, and almost every owner mixes them up without knowing what each is for. The result is chaotic databases where nobody finds anything. Let us clear it up once and for all, in plain language.

The difference in one sentence

A custom field stores a specific piece of data about each client: their birthday, their size, their pet's name, the car they drive. A tag is a sticker that classifies the client: "VIP", "interested in yoga", "came from Instagram". Put simply:

• A field answers "what is the value of this piece of data?" — and usually there is one correct answer.
• A tag answers "which groups does this person belong to?" — and they can belong to several at once.
• A field is like a spreadsheet column: orderly, with a fixed format.
• A tag is like a sticky note: quick to attach and to remove.

A practical rule that CRM experts repeat: if the data has a single possible answer, it is a field. Lead source, for example, should be a dropdown field (website, referral, event), because each person arrived through one path. Their interests, on the other hand, are tags: someone can be interested in haircuts and beards at the same time, and that changes over time.

When to use each one

The most common trap is using tags for everything. It is tempting because creating a tag is fast, but you end up with forty different stickers and none that truly help you filter. Think of it this way: if one day you will want to sort your clients by that data, highest to lowest or by date, that is a field. If you only want to mark who belongs to a group, that is a tag.

Tags are sticky notes; fields are the spreadsheet. Both are useful, but sticking a note where you needed a column is the number-one cause of mess.

Name them with prefixes

The secret to keeping tags from turning into chaos is using prefixes. Instead of loose tags like "web", "haircut", "new", group them with a word in front and a colon. That way, when you type into the search box, all of the same type appear together.

• source: web, source: referral, source: instagram — where the person came from.
• interest: haircuts, interest: color, interest: beard — what they care about.
• status: active, status: inactive, status: vip — where the relationship stands.
• campaign: holiday2026, campaign: anniversary — to measure which promotion worked.

This small habit, recommended by CRM providers like Capsule and OnePageCRM, saves hours. When someone on your team searches "interest:", they see every available option at a glance and do not invent a new tag that already existed under another name.

Clean up every so often

A database is like a drawer: if you never tidy it, it fills with things you no longer use. Experts advise reviewing your tags every three to six months and deleting the ones that no longer help. A tag that only two clients carry rarely helps you filter; better to merge or remove it.

Another good habit: let only one person, usually whoever administers the system, create new fields and tags. If every team member invents their own, within a month you will have "vip", "VIP", "vip client" and "v.i.p." as four different things. A little control at the start prevents a lot of mess later.

Let the work do itself

The tedious part of all this is tagging by hand. Luckily, you do not have to. Many systems apply tags and fill in fields automatically based on what the client does: whether they booked an appointment, whether they came from a certain campaign, whether they have been absent for months. An assistant like Lidia, which handles WhatsApp, can record these details while it chats, so your database stays alive without you typing a thing.

A barbershop example

To make it concrete, picture a barbershop. The name, the phone and the date of the last haircut are fields: data with a single answer that you will want to sort and filter. The client's favorite barber is also a field, because there is only one. On the other hand, "prefers mornings", "came by referral" and "likes coffee" work better as tags, because they describe traits that pile up and change.

With that foundation in place, the owner can do in seconds what used to be impossible: "message everyone who has not come in over two months and prefers afternoons". Filter by the last-visit field and the preference tag, and the list is ready for a message. That is exactly what separates a dead address book from a tool that brings people back.

Takeaway

Fields for data with a single answer, tags for groups that change. Prefixes so you do not get lost, a cleanup every few months and, whenever possible, automate the tagging. With those four rules your contact list stops being a giant address book and becomes a tool that tells you exactly whom to message and when.

Sources

• Capsule CRM — https://capsulecrm.com/support/setup-and-configuration/best-practices-for-tags-custom-fields-and-datatags/
• OnePageCRM Blog — https://www.onepagecrm.com/blog/custom-fields-or-tags-to-best-segment-your-data/
• FluentCRM Blog — https://fluentcrm.com/blog/organize-contacts-in-fluentcrm/
• Keap Blog — https://keap.com/small-business-automation-blog/growth/advanced-crm-system-tagging-small-businesses-need-to-know