REAL ESTATE CRM SYSTEMS

Nepal property brokers managing buyer enquiries on WhatsApp and listing inventory in Excel are one busy week away from missing a serious buyer — a real estate CRM tracks every lead, every property, and every conversation in one place

Most property transactions in Nepal run through individual brokers operating across WhatsApp conversations, HamroBazaar listings, and Facebook group posts. When a serious buyer calls back, no one can find the earlier conversation. When a new buyer comes in with specific requirements, matching them to available listings means scanning a shared spreadsheet by hand. We build real estate CRM systems for Nepal property brokers and agencies that centralise buyer enquiries, track property inventory, manage site visit scheduling, and record every conversation — so nothing is lost when things get busy.

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This is for you if

This is for Nepal property brokers, agencies, and developers who:

Receive buyer enquiries across multiple personal WhatsApp numbers with no central record

Maintain property listings in a shared Google Sheet or Excel file with no buyer matching

Coordinate site visits through informal WhatsApp messages with no confirmed scheduling

Do not track where buyer enquiries are coming from — HamroBazaar, Facebook groups, referrals, or the website

Lose deal history when a broker leaves or changes their phone

This is relevant for individual property brokers in Kathmandu and other urban centres, small property agencies, land and apartment developers selling directly to buyers, and property management businesses looking to build a more systematic buyer pipeline.

What's broken

Four problems Nepal property brokers lose serious buyers to every week

Buyer enquiries managed across multiple WhatsApp numbers with no central record

Different brokers in the same agency receive enquiries on their personal WhatsApp numbers. When a buyer calls back, no one in the team knows what was said to them last time, which properties were suggested, or what the buyer's budget and requirements actually are. The conversation history is locked inside one broker's personal phone. If that broker is unavailable — or has left the agency — the enquiry history is gone. A buyer who enquired three weeks ago and is now ready to proceed is treated as a new contact, and the agency looks disorganised. Every serious buyer who does not feel remembered is a buyer who calls another broker next.

Property inventory in a shared Google Sheet with no buyer matching

The property listing database for most Nepal property agencies is a Google Sheet shared across the team. When a new buyer comes in with specific requirements — say, a 3-anna residential plot in Budhanilkantha under NPR 1.5 crore — finding matching properties means manually reading through rows of a spreadsheet. There is no filter for buyer requirements, no automatic match against available listings, and no alert when a new property comes in that fits an existing buyer's criteria. The manual process is slow, inconsistent across team members, and depends on whoever is looking knowing the spreadsheet well enough to catch a match. Properties that should be shown to interested buyers sit unsold because the connection was never made.

Site visit scheduling done by memory and WhatsApp coordination

Site visits in Nepal are organised through a chain of WhatsApp messages between the broker, the buyer, and the property owner or caretaker. There is no shared calendar, no booking confirmation sent to all parties, and no reminder message sent the day before. The broker has to remember which visits are scheduled for which day, confirm with the property contact separately, and then chase the buyer if they do not show up. Visit no-shows are common. Double-bookings happen when two brokers schedule visits to the same property without knowing. Time is wasted driving to properties when the buyer cancelled two hours earlier through a message the broker did not see. A CRM with a site visit scheduling module and automated confirmation messages solves all of this.

No tracking of enquiry source

The agency does not know whether its buyers are coming from HamroBazaar listings, Facebook groups, referrals from past clients, or the website. Every buyer who enquires is treated the same regardless of where they came from. Without source tracking, there is no way to know which lead channels are producing buyers who actually progress to site visits and offers, and which are producing unqualified enquiries that waste broker time. Marketing budget decisions — whether to advertise more on HamroBazaar, spend on Facebook ads, or invest in referral relationships — are made without data. Source tracking in a CRM takes ten seconds per enquiry to record and produces decision-making data within 60 days.

What we engineer

What we build for Nepal property brokers and agencies

Central buyer enquiry pipeline

that captures every lead regardless of source — WhatsApp, HamroBazaar, Facebook, website, or referral — with source tracking recorded at entry

Property inventory database

inside the CRM with filterable fields for property type, location, size, price, and current status, linked to buyer requirement profiles

Buyer-to-property matching workflow

that surfaces available properties matching a buyer's recorded requirements when new listings are added

Site visit scheduling module

with automated confirmation messages to buyer and property contact, and a reminder message 24 hours before the scheduled visit

Offer and negotiation stage tracking

per deal, recording all offers made, price counters, and final agreed terms in the deal record

Enquiry source reporting

that shows which lead channels are producing enquiries, site visits, and offers, so marketing budget decisions are data-backed

Team conversation history

stored against each buyer record so any broker can pick up a relationship knowing the full context

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What changes

What a Nepal property business looks like after a real estate CRM is in place

Before
After
Before Different brokers in the same agency receive enquiries on their personal WhatsApp numbers. When a buyer calls back, no one in the team knows what was said to them last time, which properties were suggested, or what the buyer's budget and requirements actually are. The conversation history is locked inside one broker's personal phone. If that broker is unavailable — or has left the agency — the enquiry history is gone. A buyer who enquired three weeks ago and is now ready to proceed is treated as a new contact, and the agency looks disorganised. Every serious buyer who does not feel remembered is a buyer who calls another broker next.
After Every buyer enquiry enters a central pipeline with the source recorded, assigned to a broker, and visible to the whole team
Before The property listing database for most Nepal property agencies is a Google Sheet shared across the team. When a new buyer comes in with specific requirements — say, a 3-anna residential plot in Budhanilkantha under NPR 1.5 crore — finding matching properties means manually reading through rows of a spreadsheet. There is no filter for buyer requirements, no automatic match against available listings, and no alert when a new property comes in that fits an existing buyer's criteria. The manual process is slow, inconsistent across team members, and depends on whoever is looking knowing the spreadsheet well enough to catch a match. Properties that should be shown to interested buyers sit unsold because the connection was never made.
After A new buyer's requirements are matched against the property inventory automatically, and a notification fires when a new listing fits an existing buyer's criteria
Before Site visits in Nepal are organised through a chain of WhatsApp messages between the broker, the buyer, and the property owner or caretaker. There is no shared calendar, no booking confirmation sent to all parties, and no reminder message sent the day before. The broker has to remember which visits are scheduled for which day, confirm with the property contact separately, and then chase the buyer if they do not show up. Visit no-shows are common. Double-bookings happen when two brokers schedule visits to the same property without knowing. Time is wasted driving to properties when the buyer cancelled two hours earlier through a message the broker did not see. A CRM with a site visit scheduling module and automated confirmation messages solves all of this.
After Site visits are confirmed to all parties via automated message and followed up with a reminder the day before
Before The agency does not know whether its buyers are coming from HamroBazaar listings, Facebook groups, referrals from past clients, or the website. Every buyer who enquires is treated the same regardless of where they came from. Without source tracking, there is no way to know which lead channels are producing buyers who actually progress to site visits and offers, and which are producing unqualified enquiries that waste broker time. Marketing budget decisions — whether to advertise more on HamroBazaar, spend on Facebook ads, or invest in referral relationships — are made without data. Source tracking in a CRM takes ten seconds per enquiry to record and produces decision-making data within 60 days.
After A weekly source report shows which channels — HamroBazaar, Facebook, referral, website — are producing buyers who progress to site visits and offers
How it works

How we build your Nepal real estate CRM

  1. 01

    Current process mapping

    We spend one session with the team mapping how buyer enquiries currently arrive, how properties are tracked, how site visits are organised, and how deals progress to offer. We identify the three to five highest-priority gaps — typically: centralising enquiries, building the property inventory database, and setting up site visit scheduling.

  2. 02

    CRM design

    We design the pipeline stages, property inventory fields, buyer requirement fields, source tracking categories, and site visit workflow. For Nepal property businesses, this typically includes a buyer pipeline with five to seven stages from initial enquiry through to offer accepted, a property database with fields relevant to Nepal market categories (ropani/anna/paisa for land area, municipality zone, road access, ownership type), and WhatsApp-compatible confirmation message templates.

  3. 03

    Build and data migration

    We build the CRM in GoHighLevel or HubSpot, migrate the existing property inventory from the Google Sheet, and configure the automation — enquiry source tagging, site visit scheduling confirmations, and reminder messages.

  4. 04

    Team walkthrough

    We walk through the CRM with every broker in the team. We cover how to add a new buyer enquiry, how to record a property match, how to schedule a site visit, and how to progress a deal through the pipeline. We document the workflow so the team can train new brokers without our involvement.

  5. 05

    30-day review

    After 30 days we review the pipeline data: enquiries by source, site visits scheduled versus completed, deals by stage, and any process gaps the team has identified. We adjust fields, stages, and automations based on what has come up in practice.

Request a Real Estate CRM Diagnostic →
Common questions

Frequently asked questions

What CRM should a Nepal property broker use — HubSpot Free or GoHighLevel?

GoHighLevel is the more practical choice for most Nepal property brokers because its free-tier equivalent includes pipeline management, contact records, and basic automation without requiring a paid upgrade for the features most relevant to a property business. HubSpot Free works for very basic contact and deal tracking but limits automation to simple workflows and does not include the scheduling and confirmation features that site visit coordination requires. For a broker or small agency managing 20 to 60 active buyer enquiries, GoHighLevel covers the buyer pipeline, property matching logic, WhatsApp task creation, and site visit scheduling in one platform at a lower total cost than HubSpot's paid tiers. HubSpot is the better option for larger agencies that already have marketing automation investment or need more advanced reporting.

How do I build a property inventory tracker inside a CRM for a Nepali real estate business?

A property inventory tracker inside a CRM is built as a custom object or a second pipeline, separate from the buyer pipeline, with fields relevant to Nepal property categories. The minimum fields are: property type (land, apartment, house, commercial), location (district, VDC/municipality, ward), size in ropani or square feet, asking price in NPR, ownership documentation status (lalpurja, naksha), road access, current status (available, under negotiation, sold), and the assigned broker. In GoHighLevel, this is built as a custom contact or opportunity record type linked to the buyer deal records. In HubSpot, a custom object called "Property" is created with the relevant properties and associated to deals via a relationship. Once the inventory is in the CRM, filtering by buyer requirements takes seconds rather than requiring a manual spreadsheet review.

How do I track the source of buyer enquiries — HamroBazaar, Facebook, referral, website — in a CRM?

Source tracking requires a "Lead Source" field on every buyer contact record in the CRM, with predefined options for each channel: HamroBazaar, Facebook Group, Facebook Ad, Website Enquiry Form, Phone Referral, Walk-in, and Other. The field should be mandatory on contact creation so no enquiry is recorded without a source. In GoHighLevel, source data from website forms can be passed automatically through a hidden form field. For WhatsApp enquiries and phone enquiries, the broker selects the source manually when creating the contact. After 60 days of consistent source tagging, a simple CRM report shows which channels are producing enquiries that progress to site visits and offers, and which are producing volume without quality.

How do I manage site visit scheduling inside a CRM for multiple properties and brokers?

Site visit scheduling in a CRM is managed through a task or activity record linked to both the buyer contact and the property record, with a scheduled date and time, the assigned broker, and the property contact details. In GoHighLevel, an automated workflow triggered when a site visit task is created sends a WhatsApp confirmation message to the buyer with the date, time, and property address, and creates a second message to the broker with the buyer's contact details. A second workflow fires 24 hours before the scheduled visit time with a reminder to both the buyer and the broker. For agencies managing multiple brokers, the task is assigned to the specific broker responsible for the visit, and the pipeline view shows all upcoming site visits across the team in a single calendar view.

How do I set up a buyer-to-property matching workflow in a basic CRM for Nepal real estate?

A buyer-to-property matching workflow requires two things: a buyer requirements profile attached to each buyer contact record, and a trigger that fires when new properties are added to the inventory. The buyer requirements profile stores the minimum fields a buyer has specified — location preference, property type, size range, and maximum price. When a new property is added to the inventory database, a workflow checks active buyer records for matching requirements by comparing the property's location, type, size, and price against each buyer's recorded requirements. Matching buyer records generate a task for the assigned broker to notify the buyer. In GoHighLevel, this is built using custom field conditions in a contact-based workflow. In HubSpot, it uses a custom object workflow with an association filter. The matching is not instant or perfectly automated in basic CRM tiers, but a daily filtered view of "buyers whose requirements match properties added this week" achieves the same outcome with minimal manual effort.

Start here

Start with a real estate CRM diagnostic

If your team is managing buyer enquiries on personal WhatsApp numbers and tracking properties in a shared spreadsheet, the first step is understanding exactly what the current process is costing — in missed follow-ups, unmatched buyers, and site visit no-shows. We offer a real estate CRM diagnostic for Nepal property businesses that maps the current enquiry and listing process, identifies the three to five highest-priority gaps, and recommends a CRM setup that fits how Nepal property transactions actually work — before any build begins.

Request a Real Estate CRM Diagnostic →