Luxury Home Builder

Generating Sales Qualified Leads For Less Than  Half The Target CPL

A developer who specialized in constructing luxury homes came to Task Force Maestro for cheaper leads.


Here's what went down.

$105

Cost Per Lead

22+

Qualified Leads Per Month

$65MM+

SQL Pipeline Value

// The Client

A high-end homebuilder and their media buyer approached us with clear goals & objectives:


  1. Create a full-funnel marketing campaign (Ads, landing pages, follow-up sequences, and marketing automation)
  2. Deliver leads for less than $225
  3. As many leads as possible within their monthly ad spend budget


The team at Task Force Maestro delivered on those goals, and more…


// The Proposal

Our consultants advised on starting with a review of the client's website analytics, a campaign forecast, and live business assessment of their key metrics.


This allowed our team to:

  1. Confirm that is campaign is financially viable
  2. Follow up with a campaign buildout

Strategic

  • Competitive Analysis
  • Campaign Forecasting
  • Campaign Buildout
  • UX Research
  • Website Analytics Review
  • KPI Assessment
  • Workflow Assessment

Deliverables

  • Campaign Financial Projections
  • Sales Funnel Blueprints
  • Paid Ad Creatives + Targeting
  • Buyer Personas
  • Analytics Measurement Plans
  • Business Workflow Mapping + Automation
  • Landing Page Design + Development
  • Email Campaigns + Automation

Platforms

// The Strategy

Combining our knowledge of Facebook advertising with the client's website and sales data allowed us to forecast potential campaign outcomes.


This lead to the full buildout of a paid advertising campaign.

// The Campaign

Our approach leveraged the client's existing video content by educating potential buyer rather than focusing on a specific offer.


Included campaign types:

  • Lead form
  • Conversion
  • Retargeting


// The Results

The framework we developed lead to consistent, high-quality leads, month after month.


  • $105 cost per lead
  • 22+ leads per month
  • $65mm SQL pipeline value

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