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Hire a finance-first growth operator.

Select your business type and hiring need below — the pitch adapts. Full profile always visible. Verified roles, P&L scope, tools, AI fluency, case study relevance flags.

Determines which case studies, metrics, and vocabulary I lead with.

Shapes the scope, commitment, and compensation conversation.

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Verified Experience

Roles, P&L scope, tools, AI fluency — independently verifiable

Jan 2024 – May 2025 Fractional CMO / Head of Growth Crazy Compression (US DTC) $4M+ ARR → 8-fig target

Crazy Compression — US DTC Compression Socks

Built profitable growth foundation from chaotic founder-led marketing. Cut wasted ad spend $100K+/mo. 3.2× net profit (Jan–Jun 2024 vs prior year). First profitable April on record. Mentored CEO & team on Triple Whale KPIs. Restructured vendor contracts around contribution targets.

Triple Whale Shopify Meta Ads Google Ads Klaviyo GA4 Notion AI Stack (Claude, GPT, Perplexity)
P&L Scope: ~$1M ad spend supervised · $4M+ revenue Team: 5 direct + vendors/agencies Outcome: 3.2× net profit · $7.5M target set
2021 – 2023 Growth Lead / Senior Strategist Agency Side (1,000+ brands) Meta / Google / TikTok

Agency Side — 1,000+ Brands Across Meta, Google, TikTok

Managed $10M+ annual ad spend across 1,000+ DTC brands. Built agency-wide finance-first reporting framework. Trained 20+ strategists on Contribution Profit methodology. Designed creative testing protocols tied to payback periods. This is where the finance-first operator mindset was forged — seeing what works (and what doesn't) at massive scale.

Meta Ads (Advanced) Google Ads (Search/Shopping/YouTube) TikTok Ads Creative Strategy Team Leadership Client P&L Management
Scope: $10M+ annual spend · 20+ strategists trained Innovation: Finance-first reporting framework (agency-wide)
2019 – 2021 Growth Manager / Media Buyer In-House DTC Brands $1M–$5M Revenue Range

In-House DTC — Foundation Years

Hands-on media buying and growth execution for early-stage DTC brands. Learned the hard way that ROAS lies. Built first Contribution Profit dashboards in Google Sheets. Failed fast, documented lessons, developed the operator playbook that now runs the Sprint.

Meta Ads Google Ads Email/SMS (Klaviyo) Google Sheets Modeling Creative Production

Proof Relevance

Which case studies map to your hiring need?

Each live case study is flagged for the business problems it proves. Select your hiring need above to highlight relevant proof.

Crazy Compression Finance Translation Founder Time Recovery Marketing Systems Hiring / Team

Crazy Compression — 8-Fig Profitable Growth Foundation

Built finance-first operating system from chaos. Cut $100K+/mo waste. 3.2× net profit. Mentored CEO. Relevance: Fractional CMO, Head of Growth, Growth Operator, Advisory, Sprint.

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Brooklyn Bicycle Co. (Pending) Finance Translation Marketing Systems Cross-Functional Ops

Brooklyn Bicycle Co. — Awaiting Approval

Financial visibility, founder challenge, marketing systems, cross-functional operating value. Release gate: Sourav approval for public name/claims. Relevance: Fractional CMO, Head of Growth, Advisory.

Alpinistas (Pending) Financial Visibility Founder Time Recovery Prioritization / Delegation

Alpinistas — Awaiting Approval

Sensitive case study — financial visibility, founder time, prioritization, delegation during difficult period. Heavy redaction needed. Relevance: Fractional CMO, Growth Operator, Advisory.

Testimonials Library Finance Translation Founder Time Recovery Marketing Systems Hiring / Team

Testimonials Library — Curated by Theme

Grouped by decision-relevant theme: Finance Translation, Founder Time Recovery, Marketing Systems, Hiring/Team. Permission ledger complete per item. Relevance: All models.

Coming Soon

Honest Answers

FAQ — SaaS vs Agency vs DTC tracks, honest gaps

"We're a SaaS company — do you know B2B/PLG?"

Honest gap: My 90-day Sprint and core case studies are DTC eCommerce. The finance-first method (Contribution Profit, MER, payback thresholds, weekly rhythm) transfers directly. But I don't have a SaaS case study with ARR/NRR/expansion metrics to show. For SaaS: Advisory retainer or Hire (where I learn your model) are better fits than Sprint. I'm actively studying B2B/PLG finance models — ask me what I've learned.

"We're an agency — can you help us grow?"

Honest gap: I've never run agency growth as an operator. I know the agency model from the vendor side (1,000+ brands managed). I understand agency P&L: utilization, bill rates, pipeline, delivery margin. But I haven't owned agency new business or retention. For agency: Advisory (I sharpen your pitch/ops) or Consultation (diagnostic) fit better. Sprint is not designed for agency models.

"What's your notice period / availability?"

Sprint: 2 spots/quarter. Next cohort starts [DATE]. Advisory: 3–4 retainer slots max, usually 1–2 open. Fractional CMO: 1–2 clients max at a time. Full-time Hire: 30–60 day notice typical. Book a call at neetocal.com/souravghosh for real-time availability.

"What's your compensation expectation?"

Sprint: Fixed fee (₹3L–₹5L/mo equivalent) + profit share (10–20% of incremental Contribution Profit above baseline). Advisory: ₹1.5L–₹3L/mo retainer. Fractional CMO: ₹4L–₹8L/mo (10–20 hrs/wk). Full-time: ₹80L–₹1.5Cr CTC (₹3L–₹6L/mo in-hand) — benchmarked to Indian in-hand, not raw USD. Consultation: TBD. All negotiable based on scope, stage, and alignment. No fee on first screen — book a call first.

"Can you relocate / work US hours?"

Based in Kolkata (IST, UTC+5:30). Overlap with US West Coast: 6:30–9:30 PM IST = 6–9 AM PST. Overlap with US East Coast: 8:30–11:30 PM IST = 8–11 AM EST. I work async-first with structured syncs (Mon/Wed/Fri rhythm). For full-time US roles: open to relocation conversation after mutual conviction. For Sprint/Advisory/Fractional: timezone is a feature — async depth > sync theater.

"What tools do you actually use daily?"

Daily drivers: Triple Whale (CP/MER dashboard), Shopify Admin, Meta Ads Manager, Google Ads, Klaviyo, GA4, Notion (OS), Slack, Linear/Jira. AI stack: Claude (analysis/writing), GPT-4o (coding/strategy), Perplexity (research), Hermes (local agent), custom Python for data. Finance: Google Sheets (forecasting), QuickBooks/Xero (review only). Creative: Figma (review), Canva (fast assets), CapCut (video review). I learn new tools fast — stack matters less than finance-first thinking.

Next steps

Next steps

We'll talk about your P&L, your team, your vendors, and your goals. You'll leave with a clear view of which model (if any) fits. No sales pressure.

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About

Sourav Ghosh — Finance-First Growth Operator

Fractional CMO / Head of Growth for 7-figure DTC eCommerce brands. Built 8-figure profitable growth foundation at Crazy Compression (US DTC compression socks, $4M+ ARR) — cut wasted ad spend $100K+/mo, 3.2× net profit, mentored CEO & team.

Previous: 1,000+ brands managed across Meta/Google at agency scale. Finance-first operator. AI-fluent. Based in Kolkata, working globally.

SG

Finance-First Growth Operator