Structured proof
NDA-sensitive client stories are anonymised here. The focus is the business problem, the system applied, the intelligence used, and the outcome pattern created across DriveFunnels' proof bank.
Business Problem: A property developer was competing in a saturated launch market where lead volume, CPL control, and audience quality had to be proven before scaling.
Intelligence Used: Audience segmentation, proposition testing, multi-channel performance, lead-source quality, and CPL benchmark movement.
Outcome: Generated four- to five-figure lead volumes across property programs, with selected launches reaching 45-52% below CPL KPI and up to 150% of lead KPI.
Business Problem: Insurance teams needed digital demand generation without historical data, with intense pressure to understand which proposition and audience segments could convert.
Intelligence Used: Demographic segmentation, proposition testing, cost-led versus trust-led messaging, and CPL benchmark comparison.
Outcome: Produced three- to four-figure lead volumes in selected insurance programs, with documented CPL improvements ranging from 15% below target to 70% below competitor benchmark.
Business Problem: Consumer and ecommerce brands needed to recover ROAS, build digital sales channels, and understand which offer, audience, and marketplace loops could scale.
Intelligence Used: Marketplace performance, creative and offer testing, audience segmentation, remarketing cycles, and revenue contribution tracking.
Outcome: Documented outcomes include 4x ROAS improvement, 8x ROAS, 25x monthly sales growth, and seasonal products selling out with 3x previous year digital spend.
Confidentiality note
Portfolio names may appear as relationship proof elsewhere on the site, but individual case studies avoid naming the client unless explicit permission is available.
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