SaaSCAC ReductionB2B

Argent Analytics

San Francisco, USA12 weeks

Argent Analytics Project

The Problem

Argent spent $45,000/month on Google and LinkedIn ads driving traffic to a generic SaaS homepage. Their CAC was $3,200 per customer and declining LROIs were threatening their expansion round. The core issue: zero personalization between traffic sources.

The Solution

Deep UTM segmentation strategy, 6 unique landing page variants per persona (Developer, CFO, Operations Lead), tailored social proof per segment, and a 2-step micro-conversion flow before the demo request form. Implemented A/B testing infrastructure for monthly iteration.

-43%

Customer Acquisition Cost

CAC reduced from $3,200 to $1,840 in 12 weeks — a 43% reduction. Demo request rate increased by 178%. Argent closed their Series A with improved unit economics as a headline metric.

The Transformation

Old Revenue Engine
Old Revenue Engine
BIGWEB System
BIGWEB System

The Trajectory

Revenue Trajectory

$85,000Current Run Rate
JanFebMarAprMayJun

The Deep Dive

Argent's growth team was competent and data-driven. The problem was not their media buying — it was that all traffic landed on the same page regardless of source or seniority. We introduced persona-level segmentation at the landing page layer. A CFO cares about ROI timelines. A developer cares about API docs and uptime. We built each experience from scratch. CAC dropped almost immediately.

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