BOSTON MULTIFAMILY

APARTMENT MARKETING

BLVD

CASE STUDY

Newly Built Multifamily Apartment complex with 145 units on five levels in Revere Beach.


The residences at BLVD range from studios to three-bedroom apartments, all with balconies and most with water views. Highly competitive marketing with already saturated luxury apartment brands.

Boston multifamily apartments marketing case study by TenantAds

Revere Beach in Boston

Holistic Approach to Marketing Multifamily Apartments

Zero to 98%

Occupancy

Construction

$55m

Multifamily Sale

$85m

Growing Multifamily Community

Competitive, No Reviews, Starting New

Upscale apartment marketing rentals with waterfront located on Revere Beach in Boston, MA.  Boulevard street has six more similar exclusive communities within a mile of each other. There is another new construction in the neighborhood.


  • Multifamily Discovery
  • Multifamily Strategy
  • Multifamily Campaigns
  • Tenant Ads Analytics

Discovery & Strategy

We engineered data tracking architecture utilizing first-party server-side Google Cloud with consent and CRM integration from Yardi. Google Ads is the leading residential prospect generator. When your property is new, it has not to Google my Business no Facebook accounts, so everything needs to be set up. We designed ads and videos as limited images are standard at the beginning of building a community.

Let Data Work for You

Leverage Out of Town Tenant Acquisition

Elevate Intent Bidding

Automate Budget Control

Implement Testing Cycles

Use Your Data - Yardi, Azure, & Power BI

88% Occupancy Property was Sold

We delivered highly targeted leads and helped prospects become tenants—Fifteen months from opening to sales of the multifamily apartment property.

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BLVD Multifamily Marketing


  • Deployed ads across search and social media channels
  • Aggregated data across 1st and 3rd party dates paved the path
  • Outreach to other states helped 44$% occupancy
  • Eliminating local wasteful spent
  • Designing videos promos across 1000s YouTube channels
  • Targeting all major publications
  • Utilizing performance max and webhooks