What a CRM database is and what belongs in it

Right now, your CRM database probably lives in six places. Most B2B selling happens on WhatsApp, LinkedIn and calls, so the records end up scattered across phones, notebooks and half-finished spreadsheets. Then a lead goes quiet, and nobody can say what was last discussed.

A CRM database is the central store of everything a seller works with. It holds four kinds of records, and each one links to the others, so a single search shows the whole story:

• The people you talk to, with their phone number, email and LinkedIn profile.
• The companies those people work for.
• Every message, email and call note, tied to the right contact.
• Each deal, with its stage, value and next step.

By the end of this guide you will have one clean database, a working pipeline and a daily follow-up routine. Each step builds on the one before it.

How a CRM database differs from a spreadsheet

A spreadsheet works fine for your first 10 to 15 contacts. You can see every name on one screen, and you remember most of the conversations anyway, so you do not need software yet.

Then the list grows. A spreadsheet cannot log a WhatsApp message, so the last thing you said to a prospect lives in your phone and nowhere else. It also cannot remind you on day 5 that a quote went out and nobody replied. Because the sheet only stores what you type, a missed follow-up stays invisible until the deal is cold.

A CRM database stores each contact with its full history: messages, calls, emails and notes. It also shows deal stages as a pipeline you can check on your phone between meetings. Editing a 40-column sheet on a small screen takes patience, while moving a deal from "proposal" to "negotiation" takes a tap.

Leadrealizer builds a daily plan from that data. Each morning you see who to contact and what to say next.

The records every CRM database needs

A CRM database works with four record types, and each one answers a different question about your sales.

• Contacts: the people you talk to, with phone number, email and role.
• Companies: the businesses those people work for.
• Deals: the opportunities, each with a value, a stage and a close date.
• Activities: every message, call and note tied to a contact or deal.

However, the links between records matter more than the records themselves. A contact belongs to a company, and a deal belongs to both. Activities attach to the contact, so opening one name shows the full history in order.

For example, say you are a founder chasing a distributor in Dubai. You save Farid as a contact, link him to his trading company, and open a deal worth €40,000. Then you log a WhatsApp voice note, a Tuesday call and a pricing email. Three weeks later, you open Farid's record and see exactly what you promised, so you can follow up with the right message.

Audit the contacts you already have

Before you build a CRM database, find out what you already own. Most founders have more contacts than they think, but those contacts sit in six different places. So check each one.

• Phone book, including SIM and cloud contacts
• WhatsApp chats, especially groups and old client threads
• Email threads from the last two years
• LinkedIn connections and DMs
• Business cards from events, still in a drawer or bag
• Old spreadsheets, including the one named "leads_final_v2"

Try a quick count. Write each source on its own line in a note, then estimate how many contacts it holds. Count only people you could message tomorrow without an awkward intro.

A rough guess is fine. For example, 400 phone contacts may include only 60 business ones. Add up the numbers at the end, because the overlap shows you where your real list begins.

Where your contacts live today

Before you build a CRM database, list every place your contacts sit right now. Most founders find five or six sources, and some are half forgotten.

• Phone contacts: export from Google Contacts or iCloud as a CSV or vCard file.
• WhatsApp: open a chat, tap Export chat, and save the history. Names come from your phone book.
• Email: Gmail and Outlook both export contacts as CSV from their contacts page.
• LinkedIn: go to Settings, then Data privacy, then Get a copy of your data, and tick Connections.
• Spreadsheets: save each file as CSV.
• Business cards and event notes: photograph them, then type the details into a spreadsheet.
• Call log: it only holds numbers, so match them against contacts you already have.

Channels matter differently by market. In India and Southeast Asia, WhatsApp usually holds the most important relationships, so start there. In Germany, email and LinkedIn dominate, because WhatsApp feels too personal too soon.

Finally, pick one master file and merge duplicates by phone number or email. That file becomes your import source.

Decide which contacts to keep

A CRM database works best when every record has a reason to be there. So set a simple rule before you import anything. Keep a contact if one of these is true:

• You have an active deal with them.
• They are a past customer.
• They are a warm lead.
• You spoke to them in the last 12 months.

Put everyone else in an archive instead of deleting them, because a contact you ignored last year may buy next spring. Archived records stay searchable but stay out of your daily plan. Their history stays too, so nothing is lost if they come back.

Then start small. Pick 10 to 30 active relationships and load only those. For example, a founder with 20 live conversations needs those 20 in the app, not 2,000 old addresses.

A short list gets you using the tool on day one. You can add more contacts once the habit sticks.

Design the fields of your CRM database

Step two is deciding what each record holds. Start small, because every extra field is a question your team has to answer. Most people stop answering after a week.

Adoption fails when data entry feels like admin work. A rep who just finished a call will not open a form with 25 boxes. Instead, they jot a note elsewhere, and your CRM database goes stale.

So keep each record to what you need for the next follow-up. For most B2B teams, that is a short list:

• Name and company
• Phone number, email or LinkedIn profile
• Deal stage
• Last conversation and next step
• Follow-up date

Then test every other field with one question: will anyone act on it this week? If not, cut it. Adding a field later is easy, but removing one is harder once people learn to ignore it.

Leadrealizer works this way. Messages from WhatsApp, email and calls land in one inbox, so context fills itself in and your team types less.

Core fields to set up first in your CRM database

Keep the first version short. A CRM database with eleven fields gets filled in, but one with forty gets abandoned. Create these first:

• Name, company and role
• Phone, email and LinkedIn URL
• Preferred channel and source
• Deal stage
• Next follow-up date and last discussed topic

Two of these matter more than the rest. Preferred channel tells you where a person actually replies. A founder in India may answer on WhatsApp within minutes, while a buyer in Germany may only read email or LinkedIn. So if you pick the wrong channel, a good lead goes quiet.

Next follow-up date matters because most deals die on a quiet Tuesday when nobody followed up. With a date on every contact, you know each morning who needs a message. Then the last discussed topic tells you what to say, so you never open with "just checking in."

Custom fields worth adding to your CRM database

Three to five custom fields are enough. Each one should match a question you ask in every sales conversation. Good starting points are market, product interest and decision timeline. Fewer fields also keep the record readable on a small screen.

Add them as dropdowns where you can, because dropdowns take two taps on a phone. For example, a market field with Germany, India and UAE lets you filter your pipeline in seconds.

For Germany, add a compliance requirements field, such as GDPR review or supplier audit. Decisions there take longer but are final, so knowing the hurdles early saves weeks. For India, add a referral contact field. Trust runs through relationships, so the name of the person who introduced you tells you who to thank and who to ask next.

Skip any field nobody will fill in. If a rep needs more than ten seconds to complete it, it will stay empty. So test each field for a week, then delete the ones with blank values.

Clean and import your data

Most rollouts go wrong at step three. Messy contacts go in, so your CRM database inherits every mistake. For example, one person saved twice gets two follow-ups. A mixed-up phone number sends your pitch to a stranger.

This is a one-time job. Block an afternoon and work through your export in this order.

1. Export contacts from every source: your phone, spreadsheets, email and LinkedIn.
2. Merge duplicates, using email address or phone number as the match.
3. Write every phone number with its country code, such as +49 or +91, so WhatsApp reaches the right person.
4. Delete contacts you will never message.
5. Import the cleaned file, then spot-check ten records against the originals.

Once everything lives in one inbox, you add new contacts as they come in. As a result, the mess stops building up, and you will not need another cleanup day.

Remove duplicates and standardise formats

Duplicates make your CRM database lie to you. Two entries for the same buyer mean two follow-up threads, and nobody knows which one is current. So start by merging.

1. Sort your contacts by phone number, then by email address, and merge every match into one record.
2. Add the country code to every number, for example +91 for India or +49 for Germany.
3. Pick one format for names, such as first name then last name, and one for company names, such as "Acme GmbH" instead of "ACME" or "acme gmbh".
4. Fill the preferred channel field for each contact: WhatsApp, email, LinkedIn or phone.

WhatsApp numbers fail most often. WhatsApp needs the international format, so a number saved as 0171 1234567 or 98765 43210 will not open a chat. Strip the spaces and leading zeros, then add the country code.

Merge before you standardise, though. Otherwise one person hides behind two spellings and slips past your duplicate check.

Import in a small batch and check it

Don't push the whole file into your CRM database on the first try. Import 20 to 30 records first, because a mapping mistake in 30 rows takes a minute to fix. The same mistake in 3,000 rows takes an afternoon.

Then open five of those records and check three things:

• Names, phone numbers, company and deal values sit in the right fields.
• Notes and past conversations came across, and nothing is cut off.
• LinkedIn profiles and website URLs open the right page.

If something is off, fix the mapping and delete the test batch. Then import it again. Open a few records on your phone too, since that is where you will use them. Once five records look clean, load the rest.

Before any of this, save a backup copy of the original file. Duplicate it, add the date to the file name, and store it in a separate folder or cloud drive. Never edit the original. If an import goes wrong, you can start again from the untouched file.

Connect your channels so the CRM database fills itself

Step four is to stop typing everything by hand. Connect WhatsApp, email, LinkedIn messages and call logs to the unified inbox, and each conversation lands on the right contact. Because the history stays attached to the person, you never hunt through six apps for what was said.

Manual logging is the main reason sales teams abandon a CRM. Nobody wants to copy a chat into a form after a long day, so records go stale. Then the team stops trusting the data.

Connected channels also end the app switching. Before you write your next message, you see the earlier thread, the last call and your notes in one place.

Take a Tuesday between two meetings. A lead asks about pricing on WhatsApp. You open Leadrealizer on your phone, skim last week's email thread and see Monday's call. Then you check the AI-drafted reply, approve it and send it in under a minute.

Build pipeline stages and a daily follow-up routine

Your CRM database holds the contacts. Now it needs a pipeline that tells you what to do with them. Keep it to four to six stages in plain language, so everyone reads them the same way.

1. New: nobody has messaged them yet.
2. Contacted: you sent the first message.
3. In conversation: they replied.
4. Proposal sent: the offer is with them.
5. Won or lost: the deal is closed.

Most deals are lost on day 5, when a follow-up gets missed. So the routine matters more than the stage names.

Each morning, run the same four steps:

1. Open the day's list.
2. See who is due for a follow-up.
3. Check what you last discussed.
4. Send the next message.

A daily action plan builds that list for you. Then the AI companion drafts the message, and you approve it before it sends. As a result, planning takes a few taps.

Keep your CRM database accurate over time

A CRM database goes stale within weeks if nobody looks after it. So block 15 minutes every week, say Friday afternoon, and run the same check each time.

1. Archive dead deals. If a prospect has gone silent after several follow-ups, close the deal out.
2. Fix missing next-follow-up dates, because every open deal needs one.
3. Merge new duplicates, for example a contact added once from WhatsApp and again from email.

Updates only happen when they are quick. In Leadrealizer you change a deal's status from your phone in seconds, right after a call. As a result, reps actually do it.

Managers can stop chasing status updates. The live pipeline view shows where every deal stands, so you see it Monday and fix it before Friday. Streaks and challenges then keep updates consistent, and nobody has to nag.

Weekly hygiene checklist for your CRM database

Pick a fixed slot, like Friday at 4 pm, and work through these five tasks. The whole round takes about 30 minutes, so it fits between calls. Each task is short because you repeat it weekly, so nothing piles up into a big cleanup. You can skip a week, but a skipped month lets the mess build.

1. Merge duplicate contacts and fix obvious typos in names or numbers (8 minutes).
2. Close or reschedule every deal that has no next step (7 minutes).
3. Log notes from WhatsApp chats, calls and meetings that never made it in (6 minutes).
4. Check each open deal for a follow-up date in the coming week, and set one if it is missing (5 minutes).
5. Archive leads that have not replied in 60 days (4 minutes).

Then open Monday's daily plan and read the first five names. If they are the right people, your records are clean enough. If they are not, repeat task two and check the dates again.

Getting a small team to actually use it

Picture a sales manager whose last CRM failed. Reps hated the admin, so they stopped logging anything and the pipeline went stale. A CRM database only works if people feed it, so adoption rules matter more than features.

Four rules keep a small team consistent:

1. Log every deal update in one place. If it is not in the app, it did not happen.
2. Ask for no duplicate reporting. Once a rep updates a deal, nobody requests the same update in a spreadsheet or a Friday email.
3. Start with a pilot of two or three reps. They find the rough edges early, and their results convince the rest.
4. Review the pipeline together every Monday. Because the data is live, the meeting takes minutes instead of an hour of chasing.

Mobile access helps too, since reps can update a deal in seconds right after a call. As a result, the admin shrinks and the habit sticks. The pilot reps then show everyone else how it works.

Find a CRM database that works for your small team

A CRM database only works if your team uses it. For founders and teams up to 50 people, look for five things.

• Mobile-first design, not desk-first.
• Unified inbox for WhatsApp, email, LinkedIn and calls.
• Daily action plan built in.
• AI proposes actions; you approve them.
• Simple, transparent pricing.

Leadrealizer checks all five. It's a mobile-first CRM powered by human-supervised Agentic AI on iOS and Android. The unified inbox pulls your channels together. Every morning, the Daily Action Plan shows who to follow up with and what was last said. The AI drafts the message. You review and send it.

Cost is €25/month or €240/year. The 7-day free trial needs no credit card, so you can test it on real deals first.

On day one, keep it simple:

1. Map where your conversations happen now.
2. Add the fields you need: name, company, deal stage, next step.
3. Import your first 30 contacts.
4. Connect your channels.

Frequently Asked Questions

What is a CRM database?

A CRM database is the central store of every contact, company, deal and conversation your sales team tracks. Instead of keeping details in spreadsheets, chats and inboxes, you keep one record per contact. As a result, anyone on the team can see what was said last and what comes next.

What data should a CRM database hold?

Start with the basics: name, company, role, phone number, email and LinkedIn profile. Then add the deal stage, deal value, date of last contact and next follow-up. Also log conversations from WhatsApp, email and calls, because that context makes a follow-up useful. Skip any field nobody will fill in.

How do I build a CRM database from spreadsheets and chats?

Clean your spreadsheet first by removing duplicates and filling in missing phone numbers, because bad entries lead to missed follow-ups. Then export it as a CSV file and import it into your CRM. Finally, bring in your WhatsApp, email and LinkedIn conversations. In Leadrealizer, the unified inbox keeps those threads on each contact record.

How do I keep a CRM database up to date?

Make updating take seconds, or your team will stop doing it. A mobile-first CRM helps, because reps can update a deal right after a call instead of at their desk that evening. A daily action plan also gives people a reason to open the app each morning. Then review the database weekly and remove contacts that have gone cold.

Is a CRM database different from a spreadsheet?

Yes. A spreadsheet stores rows, while a CRM database links each contact to conversations, deals and reminders. For example, it can alert you on day 5 when a lead has gone quiet. A spreadsheet only does that if you build the alert yourself, and few people do.

How much does a CRM database cost?

Prices vary a lot between tools. Leadrealizer's Core plan costs €25 per month, or €240 per year with the 20% annual discount. You can also try it for 7 days, and no credit card is required.