Freelance Operations Managers in IndiaFreelance Operations Managers in India
Let's systemize and automate your business.
$25k+
Earned
27x
Hired
5.0
Rating
67
Followers
Let's systemize and automate your business.
Expert Marketing Project Manager
Expert Marketing Project Manager
I grow brands with ads, content, and social strategy.
5.0
Rating
17
Followers
I grow brands with ads, content, and social strategy.
Cover image for Content Strategy & Marketing Automation
Content Strategy & Marketing Automation for a Physician-Led Substack Client: A physician-authored health publication Role: Content Strategist & Marketing Automation Builder Overview Foundational Health is a physician-led Substack publication. I was brought on to turn a strong body of medical writing into a repeatable growth engine, building the content system, the automation behind it, and the analytics loop that tells us what actually converts paid subscribers. I own the publication's content pipeline end to end: Substack strategy, Instagram content and DM automation in GoHighLevel, and the email marketing sequences, all produced in the author's voice. What I Built Data-driven content strategy Ran a full analysis of 241 published Substack posts against email and conversion stats to find what drives paid subscriptions. Identified that named-condition posts (e.g. specific conditions and protocols) and first-person transformation stories convert paid subscribers most efficiently and rebuilt the content calendar around that insight. Documented findings in a Notion conversion-analysis page that now guides every content decision. Content production system Produce full content batches from each article: Instagram carousels, image posts, Substack notes, and link posts. Run an ongoing reel format (short b-roll clip + on-screen hook + comment/DM call-to-action) designed to feed the automation rather than rely on link-in-bio. Produce podcast clip reels from guest episodes. Coverage to date spans articles on blood pressure, PPI side effects, home birth, sunscreen, and a shift worker's guide. Marketing automation (GoHighLevel) Built Instagram DM automation triggered by comment keywords that delivers the right article to the right reader automatically. Designed sequenced follow-ups, e.g. deliver the article first, then the paired podcast episode a couple of hours later, to warm readers before the ask. Email marketing Wrote onboarding and nurture sequences in the author's voice. Executed a full email migration from GoHighLevel to native Substack, consolidating the stack and cutting tool overhead. Built the launch email sequence for the publication's first live monthly paid-subscriber Q&A session. Central operations hub (Notion) Built and populated a complete Notion workspace as the single source of truth: Content calendar and Substack content board Reader testimonials database (500+ entries) Content strategy and conversion-analysis pages Email marketing sequence library Skills & Tools Content strategy Ā· Marketing automation Ā· Email marketing Ā· Copywriting (ghostwriting in client voice) Ā· Social media management Ā· Data analysis Ā· GoHighLevel Ā· Substack Ā· Instagram Ā· Notion Results Growth (May 1 → Aug 25, 2026): Annual Recurring Revenue (ARR: +21.8% Substack followers: +6.3% Total subscribers: +5.2% Paid subscribers: +4.7% System & foundations: 241 posts analyzed to build the conversion-focused content strategy from evidence, not guesswork. 500+ reader testimonials organized into a reusable social-proof database. Full content-to-automation pipeline built from scratch — every article now spins out into a coordinated set of posts, reels, DM flows, and emails. Email infrastructure consolidated onto a single native platform.
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Full-Stack Marketing Strategist & Business Consultant ā˜•ļø
5.0
Rating
3
Followers
Full-Stack Marketing Strategist & Business Consultant ā˜•ļø
SaaS Marketing Expert
1x
Hired
3
Followers
SaaS Marketing Expert
Automation Consultant — n8n & Make.com | Lead Intake Systems
New to Contra
Automation Consultant — n8n & Make.com | Lead Intake Systems
Cover image for E-Commerce Auto-Fulfilment System — From
E-Commerce Auto-Fulfilment System — From Order to Label Without Touching a Spreadsheet Built a fully automated order-to-fulfillment pipeline for a D2C brand selling across Shopify, Amazon, and their own store. THE PROBLEM: The operations team manually copied orders into spreadsheets, checked inventory against 3 separate sources, created shipping labels one by one, and updated tracking numbers by hand. 3 hours of daily grunt work. 8% error rate. Delayed shipments. Angry customers asking "where is my order?" THE SYSTEM I BUILT: → CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline. → VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue. → PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time. → SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility. → NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation. → ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context. THE RESULTS: • Manual processing time: 3 hours/day → fully autonomous • Order processing errors: 8% → 0.2% • "Where is my order?" support tickets: -60% • Scales to 10,000+ orders/month without adding staff TECH STACK: Make.com (http://Make.com) | Shopify | Amazon SP-API | Google Sheets | Shiprocket | Zoho Books | Twilio | PDF Generator WHY THIS WORKS: E-commerce margins are thin. Every minute of manual processing and every fulfillment error eats profit. This system runs 24/7 without breaks, mistakes, or overtime pay.
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Cover image for Agency Onboarding Automation — From
Agency Onboarding Automation — From Contract to Project Launch Without Manual Setup Built a client onboarding machine for a digital agency that eliminates 2+ hours of manual admin every time a new client signs. THE PROBLEM: New client signs the contract → account manager manually creates a Slack channel, Google Drive folder, Asana project, and sends a welcome email 2 days later. Clients felt ignored. Projects started slow. Project managers wasted hours on setup instead of strategy. THE SYSTEM I BUILT: → TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook → QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium) → CREATE: Auto-generate Slack channel with client + internal team, Google Drive folder structure with template documents, and Asana project from pre-built template with all milestones → ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match → WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing → SYNC: All project data synced to agency dashboard for leadership visibility THE RESULTS: • Onboarding initiation: 48 hours → 10 minutes • Admin time per new client: 2 hours → 5 minutes • Client satisfaction score (onboarding phase): +40% • Project setup consistency: 100% across all teams TECH STACK: Make.com (http://Make.com) | PandaDoc | Slack | Google Drive | Asana | HubSpot | Google Workspace WHY THIS WORKS: First impressions are everything. This system makes clients feel like they're working with a machine-precision agency from minute one — because they are.
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Cover image for AI-Powered Lead Qualification System —
AI-Powered Lead Qualification System — Zero Manual Data Entry Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot. THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors. THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7% TECH STACK: Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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Cover image for Real Estate Auto-Response System —
Real Estate Auto-Response System — Capture Every Inquiry in 60 Seconds Designed a 24/7 inquiry response engine for a real estate agency handling 50+ daily leads across property portals, Facebook, and WhatsApp. THE PROBLEM: Agents were responding to inquiries 4-6 hours later. By then, prospects had already contacted 3 competitors and scheduled viewings elsewhere. The agency was bleeding money on ad spend but losing deals to response speed. THE SYSTEM I BUILT: → CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook → QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification → MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability → RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds — 24/7, even at 2 AM → LOG: Every conversation automatically logged to Airtable CRM with full context → FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours → ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile THE RESULTS: • First response time: 4 hours → under 60 seconds • Inquiries lost to delay: 0 • Agent conversations handled per day: 3x increase • Listing view-to-meeting conversion: +35% TECH STACK: n8n | Airtable | WhatsApp Business API | Google Forms | Slack WHY THIS WORKS: In real estate, speed wins. This system ensures every inquiry gets a personalized, instant response with matching listings — while the prospect is still interested.
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A guy who loves Community & Growth.
A guy who loves Community & Growth.