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← Visit Full WebsiteFRX Media — SaaS Performance Marketing in the US
Meta, Google, and LinkedIn Ads for US SaaS companies — engineered to compete in the world's most crowded SaaS ad market, tracked through to trial-to-paid conversion and CAC payback.
The US is the most competitive SaaS ad market in the world. Category Search CPCs regularly run $20-80+ per click in crowded verticals like CRM, HR tech, martech, and fintech. Generic targeting and undifferentiated creative simply can't compete at that cost.
Winning in the US SaaS market means sharper ICP targeting, differentiated creative that states a clear reason to switch, and aggressive negative-keyword discipline to avoid burning budget on low-intent clicks — plus a CAC payback target modeled from your actual pricing and churn, not a generic benchmark.
FRX Media runs Meta, Google, and LinkedIn campaigns for US SaaS companies — venture-backed and bootstrapped alike — tracked through to paid customer CAC so spend decisions are grounded in what the business can actually afford.
Every SaaS campaign we build is structured around your growth motion — product-led or sales-led — and judged on paid customer economics, not top-of-funnel volume.
Category and competitor-intent Search campaigns for buyers actively evaluating SaaS solutions, paired with Performance Max for incremental reach on high-intent audiences.
Free trial and freemium campaigns built for product-led growth motions, using UI-forward creative and social proof to drive self-serve signups at scale.
Sponsored Content, Lead Gen Forms, and ABM targeting for high-ACV, sales-led SaaS where deal value justifies LinkedIn's higher CPM.
We build your target CAC and payback period from your pricing, churn, and expansion revenue before spend goes live — so every campaign has a real economic target.
We integrate with your product analytics or CRM to track campaigns through activation and paid conversion — not just signup volume.
Weekly reports built around CAC, payback period, and paid customer volume — the metrics that actually connect to your board deck.
We map your pricing, churn, LTV, and current CAC before touching a campaign. Every recommendation is grounded in what your business can actually afford to pay for a customer.
PLG accounts get trial-optimized Meta and Search campaigns. Sales-led accounts get demo-focused LinkedIn and Search campaigns with ABM targeting where deal value supports it.
Campaigns launch with tracking wired into your product analytics or CRM from day one, so trial-to-paid data starts flowing immediately instead of being bolted on later.
Once enough trial-to-paid data exists, we shift optimization from signup volume to paid customer CAC and scale the channels and audiences that actually convert to revenue.
The same structured, ROAS-first framework we apply across industries — targeting, offer, and creative discipline — translates directly to SaaS acquisition economics.
The US SaaS market is the most competitive in the world — CPCs on category Search terms are often the highest globally, and buyers are used to seeing polished, benchmark-heavy creative. Campaigns need sharper differentiation and tighter targeting to compete profitably.
Most venture-backed US SaaS companies target a CAC payback period under 12 months, with best-in-class companies under 6 months. We model your target from your actual pricing, churn, and expansion revenue rather than a generic benchmark.
Yes. We manage national US campaigns and can segment by region, time zone for ad scheduling, and company size where that improves targeting precision, particularly for enterprise SaaS with regional sales teams.
Highly competitive. Category CPCs in crowded SaaS verticals (CRM, HR tech, martech, fintech) can run $20-80+ per click. We build negative keyword and search-term discipline aggressively to avoid wasting budget on low-intent US traffic.
Yes, both. Venture-backed companies typically prioritize growth rate within a CAC ceiling; bootstrapped companies prioritize payback speed and cash efficiency. We adjust bidding strategy and budget pacing based on which model applies to you.
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