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Real Estate & Housing
De-risk land decisions, reach price-matched buyers, and qualify leads faster.
De-risk land decisions, reach price-matched buyers, and qualify leads faster.
920M+
Indian consumer profiles — income, configuration demand and buyer intent at catchment level
↓ Risk
Land feasibility scored by income density and competing supply before capital is committed
↑ Conversion
Lead scoring to separate high-intent, high-budget buyers from browsers — faster pipeline velocity
The Challenge Today
Land decisions without catchment data
Land acquisition decisions are made without verified catchment income or housing-demand data — committing capital to micro-markets where the configuration or price point will not clear.
Broad campaigns generate mismatched leads
Mass campaigns generate enquiries from buyers whose income and configuration preference does not match the project price point — wasting sales-team time and inflating cost per qualified lead.
No way to separate intent from browsing
Without propensity signals, there is no systematic way to distinguish high-intent buyers with real budget from casual browsers — so every lead gets the same follow-up, regardless of quality.
Post-sale relationships unused
Once a unit is sold, the buyer relationship is abandoned — missing referral activation, upgrade opportunities and cross-sell potential from one of the highest-value customer relationships a brand will ever have.
How Kentrix Helps
The Kentrix Growth Loop for Real Estate & Housing
De-Risk Land & Placement
Feasibility scoring by income, configuration demand & competing supply
Reach Price-Matched Buyers
Price-point matched targeting & lookalikes from comparable project buyers
Qualify & Grow Post-Sale
Lead scoring, referral activation & portfolio-level CLV mapping
Outreach & Network Optimization
- Land feasibility scoring by income and configuration demand
- Competing-supply mapping to position pricing and mix
- Sales-office placement where buyer footfall concentrates
01
Buyer Acquisition
- Price-point matched buyer targeting via LSI® segments
- Lookalikes from buyers of comparable projects
- NRI and investor-segment targeting
02
Buyer Lifecycle Value
- Lead scoring to prioritise high-intent, high-budget buyers
- Post-sale enrichment for referrals and cross-sell
- Portfolio-level CLV mapping for repeat and upgrade buyers
03
Use Cases
GeoMarketeer
Land Feasibility Scoring
Score candidate land parcels by catchment income distribution, configuration-specific demand and competing supply — so land acquisition decisions are grounded in verified buyer potential, not developer intuition.
GeoMarketeer
Sales Office Placement
Identify where target-income buyer footfall concentrates within the project’s draw area — and place sales offices and experience centres where walk-in conversion probability is highest.
Persona 360
Price-Point Matched Buyer Targeting
Reach consumers whose verified income, household profile and housing-preference signals match the project’s price point and configuration via LSI® — delivering enquiries that sales teams can actually close.
Persona 360
NRI & Investor Segment Targeting
Activate NRI and investor buyer segments using lookalikes from buyers of comparable projects — reaching audiences with both the financial capacity and the purchase intent to act.
Karma
Lead Scoring & Pipeline Prioritisation
Score every inbound enquiry on income-fit, intent-propensity and configuration match — so the sales team spends time on leads most likely to convert rather than working the full funnel equally.
Karma
Post-Sale Referral & Upgrade Activation
Enrich the post-sale buyer relationship with lifestyle and CLV signals to identify referral candidates, cross-sell opportunities and upgrade-ready buyers across the developer’s portfolio.
Case Studies
Real Estate
₹300–349 CPM
vs ₹500–700 RE avg
0.68% CTR
above 0.5% RE benchmark
Ready to Start
One data foundation.
Every Real Estate growth lever.
From land feasibility to post-sale referral activation, Kentrix connects 920M+ Indian consumer profiles to every decision that drives growth in Real Estate and Housing.
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