Real estate marketing that builds a pipeline of qualified buyers — not a list of leads.
A property enquiry is only worth what your sales team can do with it. We build the system behind the campaign — intent-led targeting, qualification at the point of enquiry, and instant routing to the closer.
01Intent traffic inGoogle Search · Meta · locality & budget intent1,000 leads02AI scores every leadBudget, locality, timeline and site-visit intent340 qualified03WhatsApp in 60 secondsAuto-reply, number verification, brochure delivery0 cold leads04CRM & instant routingAssigned to the right closer with full contextNo lead lost05Follow-up on autopilotReminders, nurture sequences, re-engagement90 site visits06Site visit → bookingEvery booking attributed back to the campaign18 bookings
₹30Cr+Ad spend managed
12K+Monthly enquiries
9Channel partner accounts
Since 2019Performance marketing
Property is sold on enquiries that reach a salesperson while the buyer is still interested. Everything else — the reach, the impressions, the brand recall — is a proxy. We have run plot, villa and channel-partner accounts across NCR and Uttar Pradesh.
The Real Problem
You do not have a lead problem. You have a buyer problem.
Six patterns we see in almost every real estate account we audit. Pick the one that sounds like your month.
What this looks like
Enquiry volume is up. Site visits are flat. And nobody can name the campaign that produced the last booking.
What it is costing you
Your closers spend most of the week on people who were never going to buy — and the ones who were, get called last.
How Avikosh fixes it
AI qualifies every enquiry on budget, locality and timeline before it ever reaches a salesperson.
Intent-led targeting
Budget filtering
Locality scoring
Verified numbers
What this looks like
₹1 crore inventory is being marketed to a ₹20 lakh audience, because the targeting was never built around ticket size.
What it is costing you
The units that carry your margin sit unsold while the cheapest ones do all the work of the launch.
How Avikosh fixes it
Investor and HNI campaigns built around ticket size, financing profile and locality prestige.
HNI segments
Investor campaigns
Premium creative
Search intent
What this looks like
Enquiries land after office hours and get called two days later — by then the buyer has already walked two other projects.
What it is costing you
A plot enquiry answered the next morning is usually already sitting in a competitor’s site office.
How Avikosh fixes it
WhatsApp replies in 60 seconds, then the CRM chases the lead until there is an outcome.
60-second reply
Auto reminders
Lead scoring
Owner assignment
What this looks like
A third of the numbers never connect, and the ones that do have no memory of filling in a form.
What it is costing you
You pay for the click, the CRM seat and the calling time — for a lead that was never a person.
How Avikosh fixes it
Intent-based campaigns with number verification and qualification at the point of enquiry.
Intent campaigns
Number verification
Form logic
Fraud filtering
What this looks like
The same three creatives have run for four months, the audience has seen them a dozen times, and the cost per enquiry reflects both.
What it is costing you
Creative fatigue and audience overlap quietly raise your cost until the project stops being viable.
How Avikosh fixes it
Continuous creative testing, audience de-duplication and AI bid optimisation on live data.
Creative testing
Audience dedup
Bid optimisation
Faster landing pages
What this looks like
Reporting stops at lead count, so budget keeps moving toward the cheapest clicks instead of the projects that are actually booking.
What it is costing you
Budget decisions get made on lead counts instead of bookings, so money keeps flowing to cheap clicks.
How Avikosh fixes it
Attribution from ad click to site visit to booking, on a dashboard you can open at any hour.
Every problem above has a defined set of moves behind it. Here is what we run, and the outcome we are held to for each one.
01
ResultBuyers who match your ticket size
Ticket-size-led buyer targeting
Audiences, creative and search intent built around what your inventory actually costs, not around reach.
AI audience targeting
HNI & investor segments
Premium creative direction
Google Search intent
Qualification at source
FixesAds bringing ₹20 lakh buyers to ₹1 crore inventory
02
ResultYour team calls only real buyers
Qualification at the point of enquiry
Every enquiry scored and verified before it reaches a salesperson, so the calling list is worth working.
AI qualification
WhatsApp verification
Call verification
Budget filtering
Investment-intent filtering
FixesEnquiries that are fake, unreachable or just browsing
03
ResultMovement on stuck inventory
Relaunch and hyperlocal demand
A fresh launch narrative plus locality-level targeting and remarketing aimed at the units that are not moving.
Relaunch strategy
Hyperlocal campaigns
Google Ads
Retargeting
Remarketing pools
FixesProjects still unsold months after launch
04
ResultLower CPL at the same volume
Continuous creative and bid optimisation
New creative tested every week, audiences de-duplicated, bids optimised on qualified conversions rather than clicks.
Creative testing at volume
AI bid optimisation
Audience de-duplication
Faster landing pages
FixesCost per lead climbing past ₹1,000
05
ResultEvery lead worked, none dropped
Follow-up that never forgets
A 60-second first response on WhatsApp, then scored routing and automated reminders until there is an outcome.
AI CRM
WhatsApp automation
Lead scoring
Auto reminders
FixesLeads going cold before anyone calls back
06
ResultA shorter trust cycle
Trust assets that shorten the decision
The proof a buyer looks for before a site visit — built once and used across every campaign.
Brand films
Case studies
Buyer testimonials
PR & coverage
Consistent social
FixesBuyers not trusting an unfamiliar developer name
Not sure which one is costing you the most?
Send us your ad account and the last three months of enquiry data. We will tell you which of these six is leaking the most money, and what it would take to close it.
No bundled retainer. Each one has a defined scope, a number we are measured on and a page you can read before you commit. We run these accounts for nine channel partners and multiple developers across NCR, Lucknow, Gorakhpur and Kushinagar.
Meta Ads for Property
Buyer enquiries from Facebook and Instagram, built on locality and income research rather than a boosted post.
Enterprise tooling, configured for property sales cycles — and handed over documented, in accounts you own.
Advertising
Meta AdsGoogle AdsLinkedIn AdsYouTube Ads
CRM
HubSpotZoho CRMLeadSquared
Automation
n8nMakeWhatsApp Business API
Analytics
GA4Looker StudioMeta PixelConversion API
AI
OpenAIClaudeGeminiElevenLabsHeyGen
Design
FigmaCanvaAdobe Creative Cloud
Why Avikosh
Why property businesses stay with us.
Six reasons developers, builders and channel partners keep the account with Avikosh rather than rotating agencies every year.
AI-First Marketing
AI is used where it changes the number — scoring enquiries, generating locality-level creative variants, and summarising call transcripts into targeting decisions.
Premium Buyer Strategy
Targeting built around ticket size, financing profile and locality intent, so the enquiries that reach sales can actually afford the inventory.
Complete Automation
Enquiry capture, routing, first response, nurture and re-engagement run as one connected system across WhatsApp, CRM and email.
Performance Focused
We report on cost per qualified enquiry, cost per site visit and cost per booking. Impressions and reach are diagnostics, not the deliverable.
Transparent Reporting
Live Looker Studio dashboards on your own accounts. You see the same numbers we do, at any hour, without asking for a report.
Industry Expertise
Plot, villa, apartment and channel-partner accounts across Delhi NCR, Gorakhpur, Kushinagar and Lucknow — metros and tier-2 planned separately.
Proof
Results from this sector.
Live accounts, real numbers, and the specific change that produced them.
Red Hills Group
Challenge
Plot enquiry volume was capped and cost per enquiry rose every quarter across tier-2 Uttar Pradesh markets.
Solution
Market-specific account structures, vernacular query sets, locality geo-fencing and instant WhatsApp routing on every enquiry.
By optimising for the conversation rather than the form fill. Enquiry forms capture which locality the buyer is looking at, their budget band and when they want to visit, so the sales team can prioritise. Leads route to WhatsApp immediately, because a plot enquiry answered the next morning is usually dead.
Both, and they need different accounts. A developer is marketing a fixed inventory they control. A channel partner is competing on speed against other agents selling the same units. We run nine channel partners alongside developer accounts, and the campaigns look nothing alike.
It depends on ticket size and how many projects you are pushing. What matters more is that the spend follows what sells — conversion tracking wired to the real enquiry event, so budget moves toward the projects producing site visits instead of the ones producing cheap clicks.
We run accounts across Delhi NCR, Gorakhpur, Kushinagar, Lucknow and pan-India requirements. Tier-2 and tier-3 markets are a different discipline from metros and we plan them separately.
Yes. Campaigns run inside your Google, Meta and CRM accounts with Avikosh as an authorised user. Dashboards, automations and documentation stay with you if the engagement ends.
Enquiries usually start within the first two weeks of launch. The meaningful signal — a stable cost per qualified enquiry and a predictable site-visit rate — typically takes six to ten weeks, because the platforms need enough qualified conversion data to learn from.
Free Consultation
Let us look at your numbers before you spend another rupee.
A 30-minute working session for developers, builders and channel partners. We review your current spend, enquiry quality, follow-up speed and tracking, then show you exactly where the pipeline is leaking.
No obligation, no pitch deckAccount audit includedResponse within one working day
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