OUR METHODOLOGY

Tulum Real Estate
Our image is a tribute to the beautiful "Chit Palm", native to Mexico's Yucatan Peninsula

Major references in the world of investment

confirm the solidity of sustainable real estate investments. 

 

Its effect on the value and performance of assets generates positive impacts in various areas. 

 

We call it, Hybrid Investment Effect.

 

A powerful effect, which generates:

 

  • Greater value appreciation over time
  • Higher rents
  • Lower operating expenses
  • Greater liquidity
  • Less obsolescence
  • Positive impact on the environment, the community and the well-being of its inhabitants

With our Holistic Real Estate Investment Model we identify the projects that generate this effect. 

 

We base our analysis on three fundamental components:

 

 

Financial Component

 

  • Maximization of the Return On Investment (ROI) through a strategic combination of higher rents (income), lower operating expenses (expenses) and a competitive investment amount (pre-sale effect).
  • Maximization of the invested capital appreciation.

 

Structural Component

 

Identifies elements that provide greater resilience to obsolescence in the context of a challenging future.

This additionally grants greater liquidity. 

 

 

Contribution Component

 

Tangible elements and actions that contribute to nature preservation, the well-being of its inhabitants and the community.

 

Each of the real estate investment projects that we select meets a perfect balance of these components that allows our clients to achieve a hybrid effect in their investments. 

 

 

Eco Homes Riviera Maya

 

Dirección / Address

Playa del Carmen,

Quintana Roo, México

 

Número de Teléfono / Phone Number 

(+52) 9848018440

 

Correo Electrónico / Email

info@ecohomesrivieramaya.com

 

 

Horario de Atención / Working Hours: 

Lunes a Viernes :10:30 am - 06:30 pm

Monday through Friday : 10:30 am - 06:30 pm

Matricula de broker aceditado en el Estado de Quintana Roo

 Quintana Roo Estate Real Estate broker license 

31312GIA0AHFS008000309