Series A Fintech: LinkedIn Ads Rebuilt Around Buying-Committee Reach
Client identity protected under NDA. Details available under mutual sign-off in a discovery call.
Composite company profile
Vertical: B2B fintech, embedded-finance API for mid-market platforms. Stage: Series A, roughly 14 months post-round, $11M raised. Team: 38 headcount, six on the go-to-market side. Product ACV: $48K to $180K depending on transaction volume. Target ARR at engagement: $2.4M, growing but paid-acquisition efficiency had stalled.
The problem
The company had spent nine months running LinkedIn Ads directly through their in-house growth hire, cycling three creative concepts and two audience builds. Monthly spend was $22K. Reported CPL was $340. On paper that was tolerable. In reality, only 6 percent of those leads booked a discovery call, and only 2 of the 47 SQLs from the prior two quarters closed. Blended CAC on LinkedIn-attributed pipeline had drifted north of $61K against an ACV that averaged $73K. The board had flagged paid social as under review.
The internal read was creative fatigue. The founder wanted a fresh brand campaign, a video series, and a new landing page. Prior efforts had failed because every fix was cosmetic: swap headlines, swap hero image, launch a new lookalike. Nothing addressed why the funnel was leaking after the click.
What our team diagnosed
Our paid media lead pulled 90 days of LinkedIn Campaign Manager data, joined it against the company’s HubSpot pipeline, and looked at job-title distribution on form fills versus job-title distribution on closed-won accounts.
The mismatch was severe. 71 percent of form fills came from titles like “Product Manager,” “Head of Engineering,” and “Fintech Analyst,” while 92 percent of closed-won accounts were sourced through VP Finance, CFO, or Head of Payments buyers. The audience targeting was reaching curious builders, not budget holders. The creative was speaking to builder pain (API docs, latency, sandbox). Buyers cared about pricing predictability, compliance posture, and reconciliation lift.
The second issue: the campaign structure had no account-list layer. Everything ran on interest and job-function targeting, so the same 8,400 people were served ads across the same three campaigns. Frequency capping was off. Some accounts had seen the same ad 34 times in 60 days. Ad relevance scores had collapsed from 6.4 to 3.1.
Third issue: the landing page routed all traffic through a single “Book a Demo” CTA that dumped into a 12-field form. Analytics showed a 71 percent drop-off between hero and form submission.
Strategy MV3 shipped
We proposed a Growth AI retainer with paid media, ABM, and analytics as the three active workstreams. Vance oversaw scope. Our paid team ran LinkedIn, our ABM team layered the account list, and our analytics team rebuilt attribution.
Core moves:
- Rebuild LinkedIn campaigns around three tightly defined audiences: named-account list (487 target companies pulled from ICP work), buying-committee titles (VP Finance, CFO, Head of Payments, Controller, Head of Treasury), and a retargeting layer for site visitors from those accounts only.
- Kill interest-based and lookalike audiences until account-based performance stabilized.
- Split creative into two tracks: one for builders (kept live at 15 percent of spend to feed champion identification) and one for buyers (85 percent of spend). Buyer creative led with ROI calculators, reconciliation case framing, and SOC 2 posture.
- Replace the single form-heavy landing page with three intent-matched pages: a calculator, a technical-comparison page, and a discovery-call page. Each mapped to campaign objective.
- Cap frequency at 4 impressions per 14 days per member.
- Instrument LinkedIn conversion API server-side to pass down-funnel events (SQL, opportunity, closed-won) back to LinkedIn’s bidding.
Implementation
Kickoff to first restructured campaign live: 18 days. Cadence: weekly paid media review, bi-weekly full workstream sync. Tools engaged: LinkedIn Campaign Manager, LinkedIn CAPI, Clearbit for account enrichment, HubSpot for pipeline attribution, Ahrefs for competitive positioning research, Figma for creative iteration, GA4 with server-side tagging for cross-domain tracking.
Deliverables shipped in the first 60 days: 487-account target list with buying-committee mapping (avg 6.4 contacts per account), 12 net-new creative units across static and video, 3 landing pages, LinkedIn CAPI integration, weekly performance dashboard, and a monthly board-ready attribution report.
Our analytics team also caught a HubSpot lifecycle-stage misconfiguration that was miscounting SQLs. Corrected mid-flight in week 3.
Outcomes
Measured at day 120 versus the prior 120-day baseline:
- Cost per SQL down from $1,940 to $612 (a 68 percent reduction), with SQL now defined against buying-committee titles only.
- Pipeline generated per month on LinkedIn spend up from $84K to $312K (a 3.7x lift).
- Closed-won opportunities from LinkedIn: 7 in the 120-day post-launch window, versus 2 in the prior 120 days.
- Blended CAC on LinkedIn-attributed pipeline down from $61K to $23K.
- Meeting acceptance rate on outbound follow-up to ad engagers climbed from 8 percent to 27 percent, because the ABM sequencing now referenced the specific asset each buyer engaged with.
Timeline
Kickoff to first meaningful pipeline lift: 6 weeks. Kickoff to full ROI parity vs prior baseline: 10 weeks. Kickoff to the 3.7x pipeline result cited above: 17 weeks (120 days post first restructured campaign). The retainer is ongoing and now includes a demand gen expansion into content syndication.
Composite testimonial
“We had convinced ourselves the LinkedIn channel was broken. It wasn’t broken, it was pointed at the wrong people with the wrong asks. Six weeks in we could already see the buyer-title mix shift in our pipeline reports, and by quarter end our CFO stopped asking whether we should cut the channel.” — Priya, Head of Growth
NDA framing statement
Client identity protected under NDA. Composite figures reflect the actual engagement within a rounding band. Full raw data, exact ACV, and specific creative assets are available under mutual NDA sign-off in a discovery call.
Book a discovery call
If your Series A fintech LinkedIn spend is producing leads that never convert, the audience layer is almost always the root cause, not the creative. Book a discovery call or review our LinkedIn Ads agency and ABM agency service pages.
