B2B AI SaaS Case Study: $2,219 in New MRR in 30 Days with a 2.89-Month Payback
This case study covers a Google Ads engagement for a B2B AI SaaS company that generated $2,219 in new monthly recurring revenue within the first 30 days of active management, with a customer acquisition payback period of 2.89 months. For a B2B software product, a sub-3-month payback period on paid acquisition means the channel is genuinely capital-efficient and ready to scale with confidence — every dollar spent on acquisition is recovered and generating profit in under a quarter. The strategy centered on high-intent search queries: terms used by potential customers who are actively aware they have the problem the product solves and are evaluating solutions, rather than broader awareness-stage keywords that generate impressions but rarely drive direct trial signups. The campaign architecture was deliberately tight in the first 30 days — a small number of tightly themed ad groups, exact and phrase match keywords only, aggressive negative keyword coverage to prevent irrelevant spend, and a single conversion action (trial signup) as the optimization target. This narrow focus allowed Smart Bidding to accumulate clean, unambiguous signal quickly rather than spreading conversion data across a fragmented account structure.
The conversion tracking setup was a non-trivial part of this engagement's success. Many B2B SaaS companies run Google Ads campaigns optimized against a generic form submission event that captures everything from trial signups to newsletter subscriptions to contact form inquiries — all of which have radically different downstream value. By working with the client to identify the exact event that correlated most strongly with eventual paid conversion (in this case, a specific onboarding step completion rather than the signup itself), the campaign was optimized against a signal that actually predicted revenue, not just activity. The Google Ads account then had MRR data imported back as offline conversions at the point of subscription, giving the algorithm a direct revenue signal to optimize against. The result was a feedback loop where the algorithm progressively favored the queries and audiences most likely to produce paying subscribers — which is what made the 2.89-month payback achievable rather than theoretical. For B2B SaaS companies interested in running Google Ads with proper revenue attribution, book a discovery call at jpauw.com/appointment.