3 Months, 4 Hypotheses: Scaling a B2C SaaS in a Competitive Global Market

Ran structured, hypothesis-based Google Ads testing for a B2C SaaS AI writing tool competing in a saturated global market (against ChatGPT, Jasper, and others).
Approach:

Fixed broken conversion tracking (GA4 + Tag Manager + enhanced conversions)
Tested 4 specific hypotheses: conversion value bidding, geo-segmentation, match type strategy, remarketing windows
Let data, not assumptions, decide what scaled

Results:

Phrase match optimization cut CAC by 52% (€27,935 to €13,236) in one month
Peak monthly ROI: 165%
Identified the real bottleneck: a 3-4% registration-to-purchase conversion rate, not ad performance