For Large Real Estate Advisory Company
- The client is a player in Real Estate Advisory Space
- it does extensive marketing of marquee Real Estate projects across the country through digital marketing.
- The client wanted to build a strong AI model to generate warm & hot leads from huge new lead base to convert them in the bookings.
- The client also wanted to build a strong aI model for leads being discarded by their call center
- G-Square collated all data pertaining to call centre, RM calling, Project details, past bookings & failures of each project at city level.
- Using these factors, we tried various AI models like XG Boost, Logistic Regression, CatBoost, Random Forest & CatBoost was finalised in our predictive analytics tool Clientrator.
- Finally, we developed robust propensity models for conversion and lift at all stages of sales process
- The models are productified in our proprietary tool Clientrator for predictive lead behaviour of each call done being originally or being rechurned
- The new Leads are now scored at every step of the sales process to be rechurned for calling and converting them to site visits and eventually booking based on a Look alike model of each new project based on past project sales behaviour.
- The eventual rechurned calling and the next stage sales process pursuing is resulting in significant revenue benefits to the Client in the range of 5 -15%