How a Series B Payments Platform Cut Blended CAC 41% in 5 Months
Client identity protected under NDA. Composite profile representing the engagement pattern. Details available under mutual sign-off in a discovery call.
Composite Company Profile
A Series B B2B payments platform serving mid-market vertical SaaS companies (embedded payments for verticals like property management, healthcare scheduling, and field services). Headquartered in the US, ~110 employees at kickoff, $18M ARR growing 90% YoY, average contract value $58K with a 6- to 10-week sales cycle. They had just closed a $34M Series B, and the board expected efficient net-new logo acquisition, not just expansion revenue.
The Problem
Blended CAC had climbed from roughly $9,400 in the year before the Series B to $16,200 at kickoff. The paid team was spending north of $180K per month across Google, LinkedIn, and a small Meta budget, but the mix had drifted heavily into branded search and retargeting, so the top of funnel was thinning. Organic pipeline had flatlined for three consecutive quarters. Sales was closing what marketing produced, but the pool of net-new opportunities had shrunk by 28% quarter over quarter. The CFO had already flagged that at current burn and current CAC, the runway story to the next round did not hold.
Prior efforts had failed for three reasons. First, the in-house team had chased LinkedIn Lead Gen Forms aggressively, which produced volume but very low sales-accepted-lead rates (below 8%). Second, SEO investment had gone almost entirely into thin comparison pages targeting non-buyer keywords. Third, no one owned the handoff between demand gen, content, and paid, so the same personas were being hit with three different messages depending on the channel.
What Our Team Diagnosed
MV3’s senior team oversaw the engagement and our analytics lead ran the diagnostic in week one. Three root causes surfaced that were not obvious to the client.
First, roughly 46% of paid spend was landing on pages that ranked organically for the same terms. The client was paying for clicks they would have earned free, and the incremental lift from paid on those queries tested near zero when we ran a two-week geo holdout. Second, LinkedIn targeting was set to job titles rather than the actual buying committee. The economic buyer at their ICP was a VP of Product or Head of Platform, not a payments manager. Third, the content library had 140+ blog posts, but only 11 mapped to actual purchase-intent keywords their ICP searched. Everything else was awareness-stage content that pulled unqualified traffic.
Strategy MV3 Shipped
We engaged on our Growth AI tier with three parallel workstreams under one integrated plan.
Paid restructure. Rebuild Google Ads around a bid-to-position model that suppressed spend on queries where the client already ranked page one organically. Shift LinkedIn from Lead Gen Forms to conversation ads plus document ads targeting the actual buying committee. Kill Meta entirely for this ICP.
Content pivot. Kill or noindex 78 low-quality awareness posts. Build 22 net-new bottom-of-funnel pages targeting embedded-payments buyer queries our keyword research surfaced. Rework the top 14 pages that already ranked to convert traffic instead of only educating.
ABM overlay. Stand up a 400-account named ABM program for the top vertical SaaS platforms our client had never sold into but where the fit signals were strong. Twelve-touch sequences across LinkedIn, cold email, and paid retargeting, all coordinated so the account was hit consistently within a 21-day window.
Implementation
Our SEO and analytics team ran the paid restructure and content pivot in month one. Our ABM team stood up the named account program by end of week six. We ran a weekly cadence with the client CMO and RevOps lead, plus a biweekly executive review with the CEO and CFO.
Deliverables shipped in the first 90 days: paid account rebuild across two Google MCC accounts and one LinkedIn account; 22 net-new content pages produced by our writing team and reviewed by our SEO lead; a technical SEO cleanup that consolidated three cannibalizing URL patterns down to one; a HubSpot to Salesforce lifecycle audit that fixed three attribution leaks; and the ABM sequence infrastructure in n8n, Apollo, and MillionVerifier.
Outcomes
Measured over the five months from kickoff to the end-of-quarter board review:
- Blended CAC dropped from $16,200 to $9,540, a 41% reduction.
- Sales-accepted-lead rate on paid rose from 8% to 22%.
- Non-branded organic sessions to money pages grew 187%, from 4,100 per month to 11,780.
- ABM sequence generated 71 sales-qualified opportunities in the first 90 days, of which 14 became closed-won contracts averaging $61K ACV.
- Paid media spend dropped 24% while sourced pipeline grew 33%, so the efficiency delta was even stronger than the raw CAC number suggested.
Attribution was multi-touch, weighted position-based, and cross-checked against a monthly geo holdout on paid Google to keep the paid-lift number honest.
Timeline
Total elapsed time from signed SOW to the board-review readout was 21 weeks. First efficiency signal (CAC bending down) appeared at week seven, driven mostly by the paid restructure. The organic and ABM contributions compounded from week ten onward.
What the client said
“The paid rebuild alone would have paid for the engagement in the first quarter. The compounding organic and ABM lift is what changed the story we tell the board.” — Priya, VP of Marketing
NDA Framing
Client identity, exact vertical, funding details, and named tools inside the client stack are protected under NDA. We share the full engagement pattern, the diagnostic playbook, and the specific bid and targeting frameworks under mutual sign-off in a discovery call.
Ready to run the same play?
If you are a Series B B2B SaaS or fintech company with blended CAC north of $10K and a board asking hard questions about efficiency, we can run this engagement pattern on your account. Book a discovery call or review our ABM Agency service and AI SEO Agency service pages.
