← Back to case studies
FinTech B2B Enterprise LinkedIn Ads ABM Programmatic

Ripple: Enterprise Fintech Lead Generation

How Precision Bidding, ABM, and Predictive Models Reduced CPL by 61% for a Global Fintech Leader

-61% LinkedIn CPL · $900 → $350 · +36% lead volume MoM

Overview

Ripple — a global enterprise fintech and blockchain leader — needed to accelerate B2B pipeline while dramatically improving cost efficiency on LinkedIn and programmatic. With a complex offering targeting compliance officers, finance directors, and C-suite decision-makers across enterprise firms, the existing campaigns were generating leads at $900 CPL — unsustainable for scaling. As Associate Director of Paid Media, I was brought in to rebuild the strategy from the ground up and establish a performance framework aligned to Ripple's enterprise growth KPIs.

The Challenges

  • CPL of $900 made acquisition costs unsustainable at scale
  • Inefficient audience segmentation leading to significant wasted ad spend
  • Creative and messaging misalignment with the target audience
  • Budget pacing and bidding strategies lacked optimization and structure
  • Need to scale across multiple financial decision-maker segments simultaneously
  • Over 100 tracking spreadsheets creating reporting inefficiencies and decision lag

The Strategy

Precision Bidding & Audience Targeting

  • Implemented LinkedIn's Predictive Bidding with manual bid adjustments for high-value segments
  • Refined audience segmentation to focus on high-intent finance and compliance professionals
  • Leveraged ABM to target CXO-level decision-makers at enterprise firms
  • Introduced segmented "Member Group" targeting for Crypto, Banking, Fintech, and Financial Services professionals at Director+ level

Creative & Messaging Optimization

  • Developed tailored ad creatives with industry-specific insights and proof points
  • Systematic A/B testing to refine copy and visual direction
  • Aligned messaging with funnel stages (TOFU, MOFU, BOFU) to reduce friction

Retargeting & Budget Pacing

  • Built high-intent retargeting audiences from past visitors and engaged prospects
  • Adjusted budget pacing to prioritize high-performing dayparts and audience segments
  • Implemented real-time budget allocation with automated bid adjustments

The Results

-61% CPL reduction — from $900 to $350 within two weeks
+36% Lead volume increase month over month
+20% LinkedIn conversions improved
+40% CPMQL improvement — cost efficiency up 60%
100+ → 3 Tracking spreadsheets consolidated into 3 core dashboards — dramatically reducing reporting overhead

Role & Context

Role: Associate Director of Paid Media (via Envisionit) · Period: Aug 2024 – Nov 2024 · Channels: LinkedIn Ads, Programmatic · Budget: Enterprise-scale

I partnered cross-functionally with Ripple's sales, analytics, and AdOps teams to establish a unified performance framework — aligning media execution with their pipeline KPIs and building the infrastructure for scalable, ROI-driven growth.

Key Takeaways

  • Predictive bidding with intent-based scoring can dramatically cut CPL without sacrificing lead quality
  • CXO-personalized messaging at the CXO level outperforms generic B2B creative — conversion rates proved it
  • ABM audience segmentation is non-negotiable for enterprise fintech targeting compliance and finance DMs
  • Consolidating 100+ fragmented reports into three live dashboards transformed decision velocity across the team
  • Cross-functional alignment between media, sales, and AdOps is what separates campaigns that generate leads from ones that generate pipeline