Buying Real Estate Leads in India (2026): Portals, Aggregators, Data Vendors and What a Lead Really Costs

Every broker in India has taken the call: "Sir, 500 verified buyer leads for Baner, only ₹15 per lead." Buying leads is a normal part of the Indian real estate trade, for brokers and developer presales teams alike. The problem is that most teams judge the purchase on the sticker price per lead, when the number that decides whether it pays back is what that lead costs by the time it becomes a site visit and a booking.

This guide breaks down the three real ways to buy real estate leads in India in 2026, what each one actually costs once you run the qualification math, the legal exposure on purchased phone data under the DPDP Act and TRAI rules, and the operating setup that stops bought leads from going to waste. If you are comparing buying leads with running your own Google and Meta campaigns, read it alongside our paid lead generation guide, which covers the ad side in detail.

The three ways to buy real estate leads in India

1. Property portal paid packages (99acres, MagicBricks, Housing and others)

Portals do not usually sell you a list. They sell visibility: premium listings, featured project slots, microsite placements and "assured response" packages.

• Intent: high. The buyer searched a locality and budget and chose to enquire.
• Exclusivity: partial. The same buyer is usually enquiring on 4 to 8 other projects that week, so speed decides who wins.
• Pricing model: fixed package per month or quarter, so your effective cost per lead swings with how many enquiries land.
• Main risk: slow response. Portal leads decay in hours, not days.

Portal leads are only as good as your capture. If they sit in an email inbox or a portal dashboard waiting for someone to export them, you have already lost the fastest buyers. We covered the mechanics in how to capture, tag and route portal leads without leakage.

2. Lead aggregators and resellers

Aggregators run their own ads and landing pages (often generic "new projects in Pune under ₹1 Cr" pages), collect enquiries, and resell them to brokers and developers.

• Intent: medium to low. The buyer filled a form about a category, not about you, and may not recognise your name when you call.
• Exclusivity: often not exclusive. Ask directly how many buyers each lead is sold to, and get it in writing.
• Pricing model: per lead, usually cheaper per unit than portal enquiries on paper.
• Main risks: recycled leads, the same lead resold across months, and unclear consent on how the data was collected.

3. Data vendors and "cold calling data"

This is the cheapest and riskiest category: bulk lists of phone numbers tagged as HNIs, salaried professionals, NRIs or "property investors", sold by the thousand. These are not leads. Nobody on the list asked to hear from you.

• Intent: none. You are cold calling.
• Exclusivity: none. The same list has probably been sold dozens of times.
• Pricing model: per record or per thousand records.
• Main risks: very low connect and interest rates, DND violations and consent exposure under the DPDP Act (covered below).

Cold calling still has a place for brokers working a tight micro-market, but it needs a disciplined script and a compliant calling setup. If that is your channel, start with our cold calling scripts for real estate agents.

What a bought lead really costs: the qualification math

The price per lead is the least useful number in this decision. What matters is cost per qualified lead, cost per site visit and cost per booking. Here is an illustrative comparison for a ₹90 lakh to ₹1.5 Cr project in a metro suburb. The inputs are example assumptions for the method, not quoted market rates, so replace them with your own data.

• Portal package: ₹1,50,000 a month for 300 enquiries = ₹500 per lead. If 35% connect and qualify and 20% of those visit, you get 21 site visits at about ₹7,100 per visit.
• Aggregator bundle: ₹60,000 for 600 leads = ₹100 per lead. If only 12% qualify (duplicates, wrong budget, already-bought, never enquired about your project) and 15% of those visit, you get about 11 site visits at about ₹5,500 per visit, plus far more calling hours.
• Cold data: ₹15,000 for 10,000 numbers = ₹1.50 per record. At a 1% interest rate and 10% of those visiting, you get 10 site visits at about ₹1,500 per visit in data cost, but you have also spent roughly 400 to 500 caller hours dialling.

The data-cost column flatters the cheaper options. Add caller salaries: a presales executive at ₹30,000 a month who spends three weeks dialling cold data adds ₹20,000 or more to that batch. Once calling time is counted, the "₹1.50 lead" often costs as much per site visit as the portal enquiry, with a lower booking rate behind it.

This is why the better teams move from cost per lead to cost per booking as the headline metric. We explain the reframe in Cost Per Lead vs Cost Per Booking.

Questions to ask any lead seller before you pay

• Exclusivity: how many buyers is each lead sold to, and for how long?
• Freshness: what is the enquiry date on each lead? Anything older than 7 days is a different product.
• Source: which ad, landing page or listing did the buyer respond to? Can you see it?
• Consent: did the buyer agree to be contacted by third parties, and can the seller show the consent text and a timestamp?
• Replacement policy: do they replace invalid numbers, duplicates and "never enquired" leads? What is the claim window?

The compliance side: DPDP Act and TRAI DND rules

Buying phone data used to be a grey area. In 2026 it is a live risk that brokers and developers need to understand before they dial.

Digital Personal Data Protection (DPDP) Act, 2023 and the DPDP Rules, 2025

The DPDP Rules were notified on 14 November 2025 with a phased timeline, and full compliance is due by 13 May 2027. Under the Act, a phone number and a name are personal data, and the business deciding why and how to use them is the data fiduciary. Processing generally needs valid, specific consent for a stated purpose. A buyer who agreed to be contacted about "Project X by Developer Y" has not consented to being sold on to ten brokers.

• Penalties run up to ₹250 crore for failing to protect personal data, with lower but still serious caps for other breaches.
• The practical implication: if you cannot trace consent for a purchased lead, you are carrying the risk, not the vendor.

TRAI commercial communication rules (TCCCPR) and DND

TRAI tightened its commercial communication regulations in February 2025. Promotional calls from unregistered 10-digit numbers can lead telecom operators to cap the number at 20 calls and 20 messages a day, suspend it after repeated complaints, and disconnect repeat offenders for up to a year. Promotional calling should run through registered headers and the designated 140 and 1600 series where applicable, and it should respect the National Customer Preference Register (DND).

This is not legal advice, so check your own setup with a lawyer. The operating principle is simple: only call people who asked to hear from you, and keep proof that they did.

Why bought leads fail: speed, tagging and leakage

Most purchased leads that "did not work" were not bad leads. They were slow leads. A portal enquiry called in 90 seconds and one called the next morning are different products. The data on this is consistent: response speed is the single biggest controllable factor in contact and qualification rates, which is why we treat it as its own discipline in Speed to Lead in Real Estate.

The second failure is tagging. When bought leads land in the same bucket as organic enquiries, nobody can tell six weeks later whether the aggregator bundle produced two bookings or none. The third is leakage: leads assigned to someone on leave, duplicates that two executives call, and enquiries that never reach the CRM at all. For brokers, this is where most of the money goes. Our breakdown of real estate lead leakage maps every gap.

The setup that makes bought leads pay back

• Capture by integration, not export. Connect portals and vendors to your CRM by API or webhook so every lead lands within seconds.
• Tag the source automatically. Each vendor, package and month becomes its own source and sub-source, so cost per booking is visible by seller.
• De-duplicate on arrival. A lead you already had from Meta last month should not be counted, or paid for, twice.
• Route instantly and set a TAT. Round-robin or rules-based assignment with a first-call target measured in minutes, and alerts when it is missed.
• Qualify with a script and a scorecard. Budget, location, timeline and financing, logged in the same fields for every source so the comparison is fair.
• Review monthly by booking, not by lead. Renew the sellers that produce site visits and bookings; cancel the rest.

This is the workflow Sell.do is built around for Indian developers and brokers. Leads from 99acres, MagicBricks, Housing, aggregators, Meta, Google and your website land in one place, are auto-tagged by source and de-duplicated, and are routed to the right presales executive with a TAT clock running. Built-in calling and WhatsApp mean the first touch happens inside the CRM and gets logged, and reporting shows cost per site visit and cost per booking for each purchased source.

Should you buy leads at all?

Buy leads when you need volume faster than your own campaigns can deliver it, for example ahead of a launch or in a new micro-market, and when you can measure the result by booking. Portal packages usually make sense for projects that need visibility with in-market buyers. Aggregators can work if you get exclusivity, freshness and a replacement policy in writing. Cold data rarely pays back once calling time and compliance risk are counted.

Related reading

• Paid Lead Gen for Indian Real Estate (2026): Cutting CPL Across Google & Meta
• Real Estate Lead Sources in India (2026): Where Leads Come From
• Real Estate Lead Leakage: Where Brokers Lose Deals and How to Plug Every Gap

Sources: DPDP Rules, 2025 notification (PIB); TRAI TCCCPR (Amendment) Regulations, 12 February 2025 (TRAI).

Buying leads is only worth it if every rupee can be traced to a site visit and a booking. See how Sell.do captures leads from every portal and vendor, tags them by source and gets them called within minutes, so you know which purchases pay back. Book a walkthrough of the AI-agentic CRM built for Indian real estate.