Three named, three anonymized. Industries from DevTools to fintech to HR SaaS. Numbers sourced from each client's GA4, HubSpot and Stripe. Every case study includes a "what we'd do differently" section. We keep ourselves honest in writing.
Every SaaS marketing case study on this page follows the same structure. The problem (where the SaaS was stuck and why). The fix (the specific interventions, in order). The results (lever movement, with before and after numbers). The methodology (what's different about marketing that industry). And a what-we-would-do-differently section, because no engagement is perfect and pretending otherwise is how agencies lose trust.
Three named, three anonymized. The named cases (DevTools, vertical SaaS, AI-native launch) let you see the full picture. The anonymized cases (fintech, HR, marketing SaaS) protect clients who asked for privacy but still wanted the numbers shared. All six are real engagements with real numbers.
Why publish SaaS marketing case studies with this much detail? Because most agency case studies are testimonial theatre. A logo, a happy quote, a vague "200% growth" with no baseline. That tells a buyer nothing about whether the same playbook works for them. Our case studies show the starting ARR, the exact levers pulled, the time to impact and the honest misses. A DevTools founder at $1.2M ARR can read the DevTools case and know within five minutes whether their situation matches. That's the point. Filter by your industry, your ARR band and the lever you think you need, then read the case closest to your reality.
Stuck at $1.2M for nine months. Three failed growth experiments. We rebuilt the ICP from sales calls, killed two paid channels, doubled down on SEO and lifecycle. By month six: $3.6M ARR.
Industry incumbent had owned the category SERP for a decade. We built editorial pillars on the queries their CFOs actually searched. Two queries now cited in AI Overviews. CAC down 42%.
Pre-revenue AI-native SaaS shipped to a flat launch. Three sales weeks. We rebuilt category positioning, ran paid against high-intent dev queries and reset the content arc around buyer journey, not feature parity.
PE-backed fintech with 18 months to a number. We ran a 200-account ABM program targeting their TAM's top tier. Lifecycle expansion sequences picked up the back half. CAC down 31% across the program.
$3M ARR HR SaaS with paid CAC drifting past $4,200. We rebuilt their attribution model, found two channels lying about ROI, killed both. Pricing page CRO did the rest. CAC down to $1,930 by month eight.
Marketing SaaS hitting their growth ceiling because expansion stalled. We rebuilt onboarding around the activation moment, replaced their weekly newsletter with a value-led nurture, ran SEO on competitor switch queries.
| Industry | ARR at start | Lead lever | Headline result | Read |
|---|---|---|---|---|
| DevTools SaaS | $1.2M | SEO + lifecycle | $1.2M to $3.6M ARR in 6 mo | Read → |
| Vertical SaaS | $4.5M | Content + SEO | Rank 11 to 1 on primary query | Read → |
| AI-native SaaS | $0 (launch) | Paid + positioning | $0 to $1.8M ARR in 9 mo | Read → |
| Fintech SaaS | $8M | ABM + analytics | CAC down 38%, anonymized | In production |
| HR SaaS | $3M | Lifecycle + CRO | NRR 104% to 121%, anonymized | In production |
| Marketing SaaS | $6M | Content + paid | Pipeline +180%, anonymized | In production |
Three named case studies live now. Three anonymized in production. Want yours here? Book the audit →
The six SaaS marketing case studies span the full range we work in: from a pre-revenue AI-native launch to an $8M ARR fintech that needed attribution rebuilt before anything else could be fixed. Different stages, different lead levers, different industries. What they share is a clean before-and-after picture and a client who signed off on the numbers. If your SaaS sits anywhere between $50K MRR and $20M ARR, at least one of these cases maps to your situation closely enough to be useful.
Yes. Every number is sourced from the client's own GA4, HubSpot and Stripe accounts. Where a client asked to stay anonymous we changed the company name and rounded the figures but did not fabricate them. We do not publish a case study without the client signing off on the numbers first.
Composite results across the six engagements: 200%+ average ARR growth in six months, CAC reduction up to 38%, pipeline tripled in the strongest case, SERP rankings moved from 11 to 1 in the vertical SaaS case and AI citation share moving from near zero to 31% in the DevTools case. Each case is different. The case studies show the specific levers that moved each one.
Yes. Filter by industry (DevTools, vertical, AI-native, fintech, HR, marketing SaaS), by ARR range at engagement start, by service used (SEO, paid, content, lifecycle, ABM, CRO, analytics) and by outcome type. The filters help you find the case study closest to your own situation.
Some clients in regulated or competitive markets cannot have their marketing strategy public. The fintech, HR and marketing SaaS cases are anonymized at the client's request. The numbers are still real and still signed off. You see the lever movement and the methodology, just not the company name.
If we work together and the results are strong, yes, with your sign-off. We never publish a case study without explicit client approval on both the narrative and the numbers. You choose named or anonymized. Most clients choose named once they see the results because a strong SaaS marketing case study is a recruiting and fundraising asset, not just a marketing one. Book the audit →
30 minutes. Your numbers. Our verdict. Written back inside 4 business hours. We turn down 1 in 3.