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Case Studies
Case Study 1: Apartment locating network
- Buyer type: apartment locating service
- Goal: expand coverage into additional metros
- Data used: metro-based lead segments with preference fields (beds, price range, pets)
- Delivery: scheduled drops with standardized schema
- Outcome: increased qualified inquiry volume in new markets while maintaining consistent intake formatting
Case Study 2: Renters insurance
- Buyer type: renters insurance agency
- Goal: target renters with near-term move timelines
- Data used: leads filtered by state + budget range + move-in window
- Delivery: daily delivery with dedupe and standard formatting
- Outcome: increased quote volume by aligning outreach timing to stated move windows
Case Study 3: Utilities / home services enrollment
- Buyer type: utility enrollment partner
- Goal: acquire customers during relocation events
- Data used: apartment-intent leads segmented by city/ZIP and move timeframe
- Delivery: recurring deliveries with basic segmentation and suppression support
- Outcome: higher conversion consistency compared to broad cold targeting due to relocation intent signal
Case Study 4: Moving services
- Buyer type: regional moving company
- Goal: add high-intent renters to inbound pipeline
- Data used: apartment-intent leads filtered by metro + move-in window
- Delivery: weekly CSV delivery with required fields and structured preferences
- Outcome: improved contact rates and reduced wasted outreach by focusing on time-bound intent signals