HOW MONSTER USES
AG G R EG AT E D DATA
BRANDON GLICKSTEIN Co-Founder & Integrator at Monster Lead Group
M
onster is unique in its approach to data. The company analyses multiple databases that date back to 2009 to generate high-quality mortgage leads. By compiling millions of data points, the team has built a proprietary database that is refreshed bi-weekly. The team at Monster can guarantee up-to-date information on the most current borrowers, with data that is sourced in-house rather than being collected from downstream providers.
D ATA A N D D I R E C T MARKETING Monster’s team of data scientists and analysts have created a unique set of algorithms that incorporate machine learning. These algorithms can provide key information on market trends, user behavior and borrower data points. Borrowers are then ranked and grouped together according to how likely they are to transact, meaning that clients can be supplied with the leads that are most likely to be successful.
D ATA S E R V I C E S Data services are provided by Monster at no extra cost when putting together campaigns for clients. This includes updating the records made available to clients each month with new leads and removing those that no longer qualify. This helps to maintain consistently high conversion rates.
B R A N D O N
G L I C K S T E I N
Data services are provided by Monster at no extra cost when putting together campaigns for clients.
HOW MONSTER USES AGGREGATED DATA
B R A N D O N
G L I C K S T E I N
F O R M O R E I N F O R M AT I O N A B O U T M O N S T E R A N D T H E L E A D G E N E R AT I O N solutions the company offers, visit the blog of Brandon Glickstein.