Client identity protected under NDA. The company profile below is a composite drawn from a Series B FinOps engagement. Numeric outcomes reflect the actual engagement. Details available under mutual sign-off in a discovery call.
Composite Company Profile
Vertical: FinOps platform serving mid-market and enterprise cloud spend teams. The buyer is typically a Director of Cloud Economics, VP of Infrastructure, or Head of FinOps sitting inside a company running $8M to $60M in annual AWS, Azure, or GCP spend.
Stage: Series B, roughly 14 months post-raise. Team of 82 employees, revenue team of 11, ARR in the $9M to $12M range, average ACV $84K, gross retention above 90%, but net new logo growth had flattened three quarters in a row. Runway of 22 months at current burn.
The Problem
The company had spent the previous 18 months investing heavily in product marketing content that read like a features tour: rightsizing engine, commitment optimizer, chargeback module, anomaly detection. Organic traffic was climbing modestly (roughly 8% quarter over quarter) but the demo-to-SQL rate had cratered from 34% to 11%. Sales called the leads “unqualified tire kickers.” Marketing called sales “unable to close.”
The board had a specific ask heading into the Series C conversation: prove that inbound could produce at least 40% of net new pipeline by month 9, or the growth story got rewritten. Prior efforts had failed because the internal team treated every channel as a lever to pull independently. SEO produced traffic. Paid produced MQLs. Content produced downloads. Nobody owned the composite question: are these accounts the ones we can actually close, and are they arriving with the belief we need them to hold?
What Our Team Diagnosed
Vance oversaw the engagement. Our SEO and analytics leads ran the diagnostic pass in the first two weeks. Three findings drove the entire strategy that followed.
First, keyword coverage was structurally wrong. The company ranked well for “cloud cost optimization” and “AWS savings plan calculator” but those queries were dominated by DIY researchers and cost engineers who had no buying authority. The queries that actually correlated to closed-won deals in the CRM (we backfitted from 24 months of Salesforce data) were more specific: “FinOps team structure,” “cloud unit economics reporting,” “cloud spend chargeback for engineering teams,” “FinOps maturity assessment.” These queries had one-tenth the volume but roughly 6x the intent-to-revenue conversion.
Second, the content library was answering the wrong seniority. Nearly every article was written for a hands-on practitioner. The economic buyer, typically a VP or CFO-adjacent role, had no landing surface. Executive-level content on total cost of ownership, board-ready FinOps reporting, and finance-engineering operating models did not exist on the site at all.
Third, paid was compounding the mismatch. Google and LinkedIn campaigns pointed at feature pages. Feature pages converted researchers, not buyers. The ratio of demo requests coming from ICs versus VPs was running 7:1 when the closed-won ratio should have been closer to 1:2.
Strategy MV3 Shipped
Services engaged: SEO and content strategy, AI-driven Generative Engine Optimization, ABM, and LinkedIn paid media. Roughly $47K per month across the retainer plus platform costs.
The strategic bet was to rebuild the demand engine around three buyer beliefs the company needed the market to hold before a demo was worth booking:
- FinOps is an operating model, not a tool category.
- Cloud unit economics belong on the CFO’s dashboard, not just the infra team’s Slack channel.
- The maturity gap between a mid-market cloud spender and a mature FinOps org is measurable, and buying a platform without closing that gap wastes budget.
Every content asset, every ad, every ABM sequence laddered up to one of those three beliefs. If a proposed piece did not, it did not get built.
Implementation
Our team delivered the following over the six-month engagement window:
- A rebuilt topical cluster covering 34 new pages across FinOps operating model, unit economics, chargeback and showback design, and maturity assessment. Old feature-tour pages were consolidated or retired.
- Four flagship “point of view” long-form pieces, one per quarter, each aimed at the VP and CFO reader. Each piece included a downloadable framework (maturity model self-assessment, chargeback design worksheet, board-ready FinOps report template).
- An ABM program targeting 480 accounts identified by cloud spend signals, FinOps job postings, and prior LinkedIn engagement. Roughly 60 accounts per month moved into active sequences with a 12-touch cross-channel cadence.
- LinkedIn paid campaigns segmented by seniority. VP and above got the point-of-view content and executive frameworks. Director and below got tactical implementation guides. Budget shifted from 70% mid-funnel to 55% top-of-funnel executive brand plus 30% ABM retargeting plus 15% direct-response demo.
- A GEO layer: schema, entity coverage, and Quick Answer content designed to surface the company inside ChatGPT, Perplexity, and Gemini answers on FinOps operating model questions. Citation tracking ran weekly.
- Analytics rebuild: closed-loop reporting from LinkedIn campaign to Salesforce opportunity, with pipeline attribution reviewed monthly with the CMO and VP Sales.
Outcomes
Measured at month 9 versus the pre-engagement baseline:
- Inbound-sourced pipeline grew 312%, from $1.9M quarterly to $7.8M quarterly.
- Demo-to-SQL conversion recovered from 11% to 38%.
- Average ACV on inbound-sourced closed-won moved from $84K to $118K, driven by more VP and executive buyers entering the funnel.
- CAC on inbound channels dropped 41% as ad efficiency compounded against the earned organic and GEO surface.
- Citation rate inside AI answer engines on target FinOps queries climbed from an estimated 4% baseline to 29% by month 8.
- The board approved the Series C narrative on schedule.
Timeline
Kickoff to first meaningful pipeline movement: 11 weeks. Kickoff to the 312% pipeline figure above: 9 months. GEO citation gains lagged the organic gains by roughly 6 weeks, which matches the pattern we see across other B2B SaaS engagements.
Composite Testimonial
“The single most useful thing MV3 did was refuse to let us write another feature page. They forced us to answer a harder question: who is the buyer, and what do they need to believe before a demo makes sense? Once we accepted that, everything else got easier.”
— Priya, VP Marketing
NDA Framing
Client identity is protected under mutual NDA. Numeric outcomes are the real engagement outcomes. The composite profile above is drawn from the FinOps vertical and is representative of the buyer, spend range, and organizational shape of the actual client. Full account details, campaign artifacts, and reference calls are available under mutual sign-off during a discovery call.
Ready to run this play for your Series B?
If you are a Series B or late Series A FinOps, cloud infrastructure, or vertical SaaS company staring at flat inbound pipeline heading into the next raise, the play above is repeatable. Our team has run variants of it across 30-plus B2B SaaS engagements.
Book a discovery call and we will walk you through the diagnostic we would run on your own funnel, no obligation.
