CRM for realtors: how to manage deals and clients

A realtor keeps dozens of properties, hundreds of contacts and a viewing schedule that changes daily in their head. With five deals a spreadsheet and phone notes are enough, but past twenty you start losing clients, forgetting calls and arguing over whose buyer it was. A CRM for realtors solves exactly this: it holds the property database, the client database and every deal in one place, and it lets no contact slip away.

Why realtors need a CRM

The main loss in a real estate agency is not advertising, it is unprocessed inquiries. A client leaves a request on the site, writes on Telegram or calls after hours, the manager sees it two days later, and by then the person has already viewed an apartment with another agent. On average an agency loses 15 to 30 percent of the inbound traffic it already paid for this way. A CRM closes that gap: every inquiry from every channel lands in one funnel, each with an owner and a deadline for first contact.

The second reason is transparency. The agency owner needs to see how many leads came in, how many viewings took place, how many deals reached a deposit and how much commission each agent earned. Without a system this picture is assembled by hand once a month and always late. The third reason is keeping the database. When an agent leaves, their contacts in a personal phone usually leave with them. In a CRM the database stays with the company, and the client history is available to whoever picks up the deal.

Property database: photos, statuses and documents

The property database is the heart of the system. A minimal card holds the address, property type, area, number of rooms, floor, condition, price, owner contacts and cooperation terms. Photos and floor plans, a scanned contract, a registry extract and any other files attach to it. Photos must live in the card itself, not in a chat or on an agent's drive: when a property needs to be shown to a client three months later, nobody will go hunting for a folder.

The second thing without which the database fails is statuses. On sale, deposit taken, sold, withdrawn, exclusive - an agent must understand in a second whether a property is still relevant. Price history is worth storing alongside the status: if an apartment has been listed for six months and the owner has cut the price twice, that is a strong negotiating argument. It also helps to flag properties untouched for more than 30 days automatically and create a task to call the owner back.

If the agency publishes properties on portals or its own site, the database should feed them automatically. The agent enters an apartment once, and the export to the website, a Telegram channel and ad listings happens without manual copying. That saves each agent roughly an hour a day and removes the situation where a sold apartment is still live on the site.

Clients and matching: search criteria and automatic matching

A client card is not just a name and a phone number but a set of criteria: a budget range, districts, number of rooms, floor, elevator, parking, mortgage readiness, timing. The more precisely the criteria are recorded, the fewer blind viewings. Objections and reactions to properties already seen deserve their own field: if a buyer has rejected a ground floor three times, stop offering those options.

The most valuable feature here is automatic matching. When a new property is added, the system compares it with the criteria of every active buyer and immediately shows who it might suit. The agent gets a Telegram message: new two-room flat in Pechersk, 95 thousand, matches three clients. It works in reverse too: when a new buyer is added, the system instantly suggests five to ten properties from the database.

Deals and stages: the pipeline plus reminders about viewings and calls

A real estate deal is long, so the pipeline must be detailed. A working set of stages looks like this: new lead, qualification, shortlisting, viewing, negotiation, deposit, document preparation, notary, deal closed. Each stage has its own transition condition and its own expected duration. If a deal sits at the viewing stage for more than ten days, the manager sees it in a report instead of finding out a month later.

The main cause of lost real estate deals is not a bad property but a late call. The CRM should create tasks itself: call back after a viewing, remind an hour before a meeting, return to a client who asked to be reached in two months. Overdue tasks are highlighted and roll up to the manager. In practice, the simple rule that no deal is left without a next action lifts viewing conversion by tens of percent.

Clients benefit from reminders too. A Telegram message or SMS a day and an hour before a viewing, with the address and the agent's contact, noticeably cuts no-shows. The property owner can get an automatic weekly summary: how many listing views, calls and viewings there were. That removes half of the awkward conversations and makes renewing an exclusive agreement much easier.

Analytics: commission, agents and channel performance

The minimum report set for an agency: leads by channel, conversion from lead to viewing to deposit to deal, average ticket, average deal duration, total commission for the period and the split between agent and company. When these numbers are calculated automatically, the non-obvious shows up: an expensive channel may bring many leads but almost no deals, while referrals bring fewer contacts and close twice as often.

Per-agent analytics is not control for its own sake, it shows where exactly a person loses deals. One agent runs many viewings but closes negotiations poorly, another closes well but barely calls. Those two cases need different fixes, and without numbers you cannot tell them apart. Commission calculation is worth automating as well: the system computes the amount from the deal percentage, subtracts the company share and produces a payout summary.

Off-the-shelf CRMs cover the basics, but agencies often hit someone else's logic: the wrong matching, the wrong stages, no commission calculation for their own scheme or no integration with the portal they need. At Devlly we build such systems custom - from a property database and automatic matching to Telegram reminders and commission reports, shaped around a specific agency's real processes.