Marketing Intelligence for Indian Real Estate
Know where money should go before money is spent.
A mobile-first decision cockpit for city benchmarks, locality quality, developer reputation and funnel planning across India.
Spend intelligence
Estimate budget, blended CPL, site visits and CAC before launch.
Developer stack
Compare trust, delivery and digital maturity for stronger conversion planning.
Locality lens
See why one micro-market outperforms another inside the same city.
10-year memory
View decade-level spend intensity and booking efficiency curves.
live intelligence reel
10-Year Intelligence
One system. Ten years of demand memory.
Track city-level spend pressure, lead cost shifts and booking efficiency from 2017 to 2026.
2017 β 2026
Spend β Result
Budget backwards from the outcome.
Estimate blended CPL, cost per site visit, CAC and the spend needed for one booking.
CPL + CAC
Funnel Architecture
Search, webinar, portal, broker, retargeting.
Choose the funnel that matches ticket size, trust score, locality intent and launch maturity.
5 Layers
Reputation Stack
Not all developers convert the same.
Delivery history, digital maturity and trust reduce waste and improve conversion depth.
Trust Index
Unlock the intelligence layer
Enter your details to access decade-level benchmarks, spend guidance, funnel logic and locality-led conversion signals.
This gate captures lead details and unlocks the dashboard on the same device. For true account-level security, use a dedicated customer or app-based authentication layer.
FiltersDecision controls
Ask the modelNatural language box
spend per booking
best funnel
developer reputation
locality impact
10-year history
Spend for one booking
βΉ0
Blended online spend forecast
Blended CPL
βΉ0
Search + Meta + portal + webinar
Site visits / booking
0
Expected visit load per closure
Booking rate
0%
Adjusted by trust and locality
Developer stackReputation signals
Locality impactWhy micro-market matters
Recommended funnelChannel structure
Spend mixWeighted allocation
Spend modelOperational benchmark table
AnswerResponse engine
Select a city, developer and locality, then ask about spend, funnel, reputation or locality.
10-year memoryDecade benchmark view
This historical panel is benchmark data embedded in the asset for demonstration. For production, connect it to metaobjects or an app-backed dataset.