REAL ESTATE CRM SYSTEMS

Canadian real estate CRM needs FINTRAC anti-money laundering client identification records, Realtor.ca lead integration, and a pipeline configured for the Canadian offer and counter-offer process

Canadian real estate agents operate under compliance obligations that most CRM platforms are not configured to support out of the box. The Proceeds of Crime (Money Laundering) and Terrorist Financing Act requires agents to collect, verify, and retain client identification records for every buyer and seller. CREA's Data Distribution Facility provides a lead feed from Realtor.ca. The Canadian offer process — with binding offers, condition periods, and counter-offer sequences — is not reflected in a generic pipeline with a single "offer" stage. Quebec adds a further layer: agents at bilingual brokerages serving French-first clients need French-language pipeline workflows and email templates, not English workflows with the occasional French translation attached. Ignited Nepal builds real estate CRM configurations for Canadian agents and brokerages that address these requirements: FINTRAC identification records inside the deal record, Realtor.ca lead import, offer and counter-offer tracking, and French-language workflow support for Quebec.

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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

Problems We Solve

FINTRAC client identification records not in the CRM

Under the Proceeds of Crime (Money Laundering) and Terrorist Financing Act, Canadian real estate agents and brokers are required to collect and retain client identification records for every buyer and seller involved in a property transaction. The record must include the client's full name, address, date of birth, the type of government-issued ID provided, the ID number, the issuing jurisdiction, and the expiry date. The verification method must also be recorded (in-person original document review, dual-process method, credit file method, etc.). Most Canadian real estate agents store this information in a separate spreadsheet or paper file outside the CRM. The compliance record is not linked to the deal, not searchable from the CRM, and not visible to the brokerage compliance officer without requesting the file separately. Ignited Nepal adds FINTRAC identification record fields to the CRM deal record so that compliance data is stored inside the transaction, linked to the contact, and auditable from the system.

Realtor.ca leads not automatically imported

Canadian real estate leads generated through Realtor.ca arrive by email notification. CREA's Data Distribution Facility (DDF) provides structured data about listings and, for participating brokerages, a lead notification API. Most Canadian agents' CRMs are not connected to the DDF lead feed. Leads arrive by email, are read manually, and are sometimes entered into the CRM and sometimes not. Enquiry response time is unmanaged. Lead attribution is not tracked. Ignited Nepal connects the Realtor.ca lead feed to the CRM through email parsing or DDF API connection where available. Each lead creates a contact record, links to the property enquired about, and is assigned to the responsible agent with a response reminder. Lead source is recorded for attribution reporting.

Offer and counter-offer tracking not in the pipeline

Canadian real estate purchase offers are legally binding documents with defined acceptance deadlines. A buyer submits an offer. The seller counter-offers. The buyer accepts, rejects, or counter-offers again. This process can cycle multiple times before acceptance or collapse. The accepted offer may include conditions (financing, home inspection) with their own deadlines. Most CRM platforms have a single "offer" pipeline stage. There is no tracking of offer amount, offer conditions, response deadline, counter-offer number, or condition removal status. Ignited Nepal adds an offer tracking sub-record to the CRM deal. Each offer and counter-offer is logged with: offer amount, offer date, response deadline, conditions list, condition removal deadlines, and outcome (accepted, rejected, counter, withdrawn). The pipeline stage reflects the current status of the negotiation. Sales managers can see how many counter-offers are in progress, which ones are approaching response deadlines, and which conditions are due to expire.

No French-language CRM workflow for Quebec agents

Quebec agents at bilingual brokerages serving French-first clients operate inside English-only CRM pipelines with English email templates and English task names. The Charter of the French Language (Loi 101) establishes French as the language of the Quebec workplace and of commercial communication with Quebec consumers. A brokerage's CRM workflow — including the pipeline stage names visible to agents, the email templates sent to clients, and the task descriptions assigned to agents — should be available in French for Quebec operations. Ignited Nepal configures French-language pipeline stages, email templates, and task descriptions for Quebec CRM workflows alongside the English versions. Agents in Quebec see and send French-language content. Clients in Quebec receive French-language communications. The configuration is maintained separately from English workflows so that changes to one do not inadvertently affect the other.

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.

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Common questions

FAQs

How do I store FINTRAC client identification data inside a Canadian real estate CRM?

FINTRAC client identification records require a set of structured fields added to the contact and deal record in the CRM: full legal name, residential address, date of birth, government-issued ID type (passport, driver's licence, etc.), ID number, issuing jurisdiction, expiry date, and verification method. For business clients, the record also requires beneficial ownership information. These fields should be mandatory on the deal record before the deal can advance past a defined pipeline stage — typically the accepted offer stage. The completed record should be exportable for brokerage compliance audits. Storing this data in the CRM rather than a separate spreadsheet means the compliance officer can pull FINTRAC records by deal, by agent, or by date range without requesting files individually.

How do I import Realtor.ca leads automatically into a Canadian real estate CRM?

Realtor.ca leads are sent by email notification when a buyer submits an enquiry through the CREA listing portal. The most straightforward approach is email parsing: a workflow reads the notification email, extracts the buyer's name, contact details, and the property referenced, and creates a contact and enquiry record in the CRM automatically. CREA's Data Distribution Facility provides a more structured data feed for participating brokerages. The DDF integration requires brokerage registration with CREA and API access configuration. Both approaches eliminate the manual data entry step and reduce lead response time. Lead source is automatically recorded as Realtor.ca for attribution purposes.

How do I track offer and counter-offer history per deal in a Canadian real estate CRM?

Offer tracking in a Canadian real estate CRM requires a sub-record or related object attached to the deal, with one record per offer submitted. Each offer record contains: the offer date, the offer price, the deposit amount, the response deadline, any conditions included (financing, inspection, sale of property), the condition removal dates, and the outcome (accepted, rejected, countered, withdrawn). Counter-offers are logged as separate records linked to the same deal, creating a complete negotiation history. The pipeline stage is updated to reflect the current state of the negotiation. This structure allows the agent to see the full offer history and allows sales managers to track which deals are in active negotiation and which conditions are approaching their deadlines.

How do I configure French-language CRM workflows for Quebec real estate agents?

French-language CRM configuration for Quebec requires creating French versions of: pipeline stage names, email templates for buyer and vendor communication, automated reminder messages, and task descriptions assigned to agents. Most CRM platforms (HubSpot, Salesforce, Follow Up Boss) support multiple language versions of templates and can assign templates to contacts based on a language preference field. The pipeline stage names in French should reflect the Quebec real estate terminology used in practice, not direct translations of English stage names. Agent-facing task descriptions should also be in French so that Quebec agents work in their primary language. Maintaining separate French and English template libraries with consistent naming conventions prevents one from being overwritten when the other is updated.

What is the best CRM for a Canadian real estate agent or small brokerage?

The right CRM for a Canadian real estate agent depends on brokerage size, whether the agent works independently or within a brokerage system, and the level of compliance tracking required. Follow Up Boss is widely used by Canadian agents and teams for its lead management and communication automation features. LoneWolf CRM and its connected tools are used by larger brokerages and franchise networks. HubSpot and Salesforce are used by brokerages that need significant customisation, including FINTRAC compliance fields and complex pipeline configurations. The platform matters less than whether it is configured for the Canadian transaction process, FINTRAC compliance, and the lead sources the agent actually uses.

Our team

The people behind the work

Not a black box. Real specialists you can call, with their names on the work.

Niraj Raut

Niraj Raut

Founder — Ecommerce SEO
Keshab Joshi

Keshab Joshi

PPC Expert
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert
Arogya Rijal

Arogya Rijal

SaaS SEO Expert
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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 →