$815,000 in Real Estate Investor Leads at $24 CPL

Social Media Marketing
Meta Ads

Case study details

Objective
Generate qualified real estate investor leads at scale for DataFlik's predictive AI data platform while proving measurable return on investment through Meta Ads.

The Challenge

DataFlik provides predictive seller and investor data for real estate professionals, helping them identify motivated sellers and high-probability investment opportunities. The challenge was converting highly specific B2B audiences into qualified investor leads at scale while proving measurable return on investment.

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Our Approach

We built Meta Ads campaigns using DataFlik's proprietary investor behavior data to seed custom and lookalike audiences, combined with conversion-optimized funnels.

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Audience Strategy

We layered multiple targeting methods to reach real estate investors:

  • Interest targeting: Real estate investor interests, property investment behaviors, wholesaling, house flipping, landlord/rental property management
  • Behavioral targeting: Users actively engaged with real estate investment content
  • Lookalike audiences: Multiple percentage ranges (1%, 3%, 5%) from DataFlik's highest-value customers to find increasingly broader but still qualified audiences

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Creative Strategy

We focused on the ROI and competitive advantage DataFlik's predictive data provides:

  • Case study ads: Featured investors who closed deals using the platform
  • Video ads: Demonstrated the software interface and how investors use the data to find deals before competitors
  • Static ads: Highlighted specific statistics like "Find sellers 90 days before they list" and "Predictive AI scores every property"

Dynamic creative testing continuously optimized ad variations, automatically shifting budget to top performers.

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Conversion Funnel Optimization

We developed CRO-tested conversion funnels that reduced friction in the lead capture process, increasing lead form submission rates by 38%.

Landing pages featured:

  • Customer testimonials from successful investors
  • Data accuracy metrics proving platform value
  • Free trial offers to lower commitment barrier
  • Clear value proposition messaging

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Retargeting Strategy

Retargeting campaigns segmented users by engagement level:

  • Demo video viewers
  • Pricing page visitors
  • Users who started but didn't complete registration

Each segment received tailored messaging to move them toward conversion.

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Lead Nurturing Automation

We integrated HubSpot workflows that triggered upon lead capture:

  • Instant nurture email sequences
  • SMS follow-ups
  • Additional product education content
  • Demo call scheduling

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Scalable Playbooks

The systematic approach created repeatable media playbooks that could be deployed across new markets without starting from scratch.

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Results

Through predictive AI-powered targeting and conversion-optimized funnels, we achieved:

  • $24 cost per lead (well below the $30 target)
  • 7x ROAS across campaigns
  • $815,000 in total revenue

The playbooks were successfully deployed across 20+ markets for nationwide scaling.

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