Case Study: Fingerprint achieves contact-level ABM precision and stronger campaign performance with Vector

Fingerprint boosts Meta CTR to 4.2% with Vector

Fingerprint, a company that builds device intelligence infrastructure, faced significant challenges with its account-based marketing (ABM) motion. Their existing tools resulted in low match rates on LinkedIn, could not reach audiences on platforms like Meta, and only provided vague account-level website signals that were not actionable for their sales and marketing teams. To address this, they partnered with the vendor Vector to implement its contact-level identification platform.

By using Vector, Fingerprint was able to build high-quality, dynamic audiences that synced across four channels: LinkedIn, Meta, Reddit, and Google Ads. This solution dramatically improved match rates to ~80% on LinkedIn and allowed them to run effective, low-cost campaigns on Meta for the first time. The results included a 4.2% CTR on a brand campaign, CPCs as low as $0.11, an average 15-20% reduction in ABM CPCs, and a 50% increase in account engagement, ultimately enabling Fingerprint to scale its campaigns faster and with greater precision.

Fingerprint