From ₹1.2 L CAC to ₹38K CAC: scaling a B2B SaaS on LinkedIn Ads
A founder-led SaaS was paying ₹1.2L to acquire each paying customer on LinkedIn Ads. We rebuilt their funnel, targeting, and creative, and brought CAC down to ₹38K inside one quarter — with more customers than before, not fewer.
The challenge
The client was selling a ₹28K/month SaaS to mid-market sales teams. LinkedIn Ads was their best channel but it was burning money. CAC had drifted from ₹65K to ₹1.2L over six months as creative fatigued and audiences saturated.
Worse, the pipeline was full of the wrong people. 63% of MQLs were from companies with < 20 employees, which never converted. Ad spend was ₹3.8L/month and net-new ARR was flat.
Our approach
We started with audit, not action. One week of listening to founder–customer calls, reading CRM win/loss notes, and re-scoring the last 200 MQLs by deal outcome. That turned up an ICP much narrower than the one the ad account was targeting: Indian B2B SaaS + fintech, 80–400 employees, specific job titles in RevOps and SDR leadership.
We rebuilt targeting on LinkedIn with matched audiences from CRM closed-won accounts, two seeded lookalikes, and one job-title-based layer with tight company-size filters. Everything outside that was paused.
Creative was re-cut. Instead of generic product demos, we shipped two new formats: (a) 45-second founder-led monologues filmed on an iPhone, each answering one objection from the win/loss notes; (b) a single-image carousel walking through the before/after dashboard of a real customer. Both formats beat the old library 4:1.
Landing page was moved off the generic homepage to a dedicated LP per campaign group. Form dropped from 9 fields to 3. Demo booking switched from Calendly embed to direct calendar slots rendered inline.
We built a funnel dashboard in Metabase so the founder could see CAC, MQL→SQL conversion, and pipeline by ad set in real time — not a monthly PDF.
The results
Within 10 weeks, blended CAC dropped from ₹1.2L to ₹38K. Qualified MQL volume (the narrower ICP) went from 26/month to 88/month. Net-new MRR in Q1 after launch was ₹8.2L — more than double the prior quarter.
LinkedIn ROAS (contracted-ARR / ad-spend) moved from 0.9× to 2.9× on a 12-month view.
Most importantly: the founder spent less time in the ad account. The Metabase dashboard + weekly Loom summary replaced the back-and-forth.
Takeaways
- If your MQLs are the wrong shape, no creative will fix it. Audit CRM before the ad account.
- Founder-led video beats polished animations on LinkedIn 9 times out of 10 for small-to-mid SaaS.
- Marketing attribution without a dashboard is just a monthly meeting. Put the numbers where the founder actually looks.
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Book ConsultationFrom ₹1.2 L CAC to ₹38K CAC: scaling a B2B SaaS on LinkedIn Ads — FAQ
Questions we usually get about projects like this one.
The outcome above is specific to this client's baseline, market, and constraints — we don't promise identical numbers. What we can replicate is the method: the same diagnostic, the same attribution discipline, and the same hand-coded delivery approach used on this marketing engagement. During the discovery call we will map your starting point against this case and tell you what parts of the playbook realistically transfer and which would need to be adjusted.
For marketing engagements we default to a lean, well-supported stack: React + Vite for custom frontends, Node.js or serverless functions on Vercel for any backend, Shopify / WooCommerce where commerce is in scope, GA4 + PostHog + server-side tagging for analytics, Meta Ads / Google Ads / LinkedIn Ads for paid, n8n or native Zapier for workflow automation, and Tally / Zoho Books for accounting integrations. We pick the simplest tool that clears the bar — we don't sell stack complexity.
This specific engagement ran for the period referenced above. Typical marketing projects of comparable scope take between 4 and 12 weeks from kickoff to launch, with a further 4 weeks of post-launch iteration. Fixed-scope work is priced upfront; open-scope work is run on a monthly retainer with weekly written updates so there are no invoice surprises.
Pricing depends on scope, integrations, and whether we are starting from scratch or improving an existing setup. We publish transparent price bands per dimension on our pricing page — engagements comparable to this case study typically sit in the mid-tier band for Marketing. You can see exact ranges at /pricing, and we confirm a fixed fee (or retainer range) before any work begins.
You do. All code is delivered into your GitHub / GitLab organisation. Ad accounts, analytics properties, domains, and hosting sit in your name — not ours — from day one. On handoff we transfer admin access, document every integration, and record a 30-minute video walkthrough of the stack so your next hire or incoming agency can pick it up without us being a single point of failure.
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