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PK DIGITAL 's avatar
PK DIGITAL
Old Gupta Colony, India
Data-driven digital marketer
Data-driven digital marketer
Cover image for Facebook Ads Campaign for Local Restaurant
Facebook Ads Campaign for Local Restaurant
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Cover image for Lead Generation Campaign for B2B Software Company
Lead Generation Campaign for B2B Software Company
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Cover image for SEO Optimization
SEO Optimization
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Lead Generator(2)
Aditya Raj's avatar
Aditya Raj
proNew Delhi, India
AI Engineer | Conversational AI, Agents & Backend Automation
New to Contra
AI Engineer | Conversational AI, Agents & Backend Automation
Cover image for How I Built My Own
How I Built My Own Telegram Lead Capture System in n8n. The goal was simple: create a Telegram-based lead capture system that could collect enquiries in a structured way, remember where each user was in the conversation, validate the information, normalize budgets across different currencies, classify leads, and finally store everything cleanly in Google Sheets. I come from a Python background, so writing the chatbot logic in code would have been the easier route for me. But for this project, I deliberately chose to build the conversational flow using native n8n nodes instead of relying on a Code node. I wanted to understand how state management, branching, routing, and multi-step conversations could be handled visually inside n8n. I only used code later where it made more sense—validating lead data, parsing budget information, detecting currencies, converting values to USD, and classifying higher-value leads. At the moment, this system does exactly what I need it to do. If the volume of leads grows in the future, I’d extend it further—for example, automatically sending myself an email notification whenever a high-ticket lead comes in. For now, though, I wanted to keep it practical rather than over-engineer it. Built with: Telegram, n8n, JavaScript, Google Sheets, n8n Data Tables, and a currency conversion API.
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Cover image for What happens when your assistant
What happens when your assistant turns into your creative partner? This is what we built few months back, a Conversational AI Design Assistant that could generate designs using natural conversation. The goal was to bypass traditional prompt engineering and replace it with natural conversation The experience was fulfilling, with learning failure and overcoming everyday challenges. Looking forward to share more such project If anyone is working on exciting projects, and believe I can contribute in any capacity, let's have a chat
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Cover image for Competitor Price Monitor | n8n
Competitor Price Monitor | n8n + Google Sheets Keeping track of competitor prices becomes repetitive when a retailer manages several product categories and regularly adds new SKUs. I built this automation around TechNest Accessories, a simulated electronics retailer, with a practical brief: monitor comparable competitor products while keeping the solution affordable and easy to manage. The budget shaped the approach. Product discovery and matching stayed manual: the retailer enters its own SKU, selling price and chosen competitor URL in Google Sheets. This keeps control over which products are compared and reduces the complexity of the build. Once a listing is selected, the repeated checking is automated. The workflow reads active listings, retrieves competitor prices and availability, and compares each result with both the retailer’s price and the previously recorded competitor price. It then updates the Current Prices tab and appends a timestamped record to Price History. The retailer can manage everything from the sheet—add listings, update selling prices, or pause monitoring with a Yes/No dropdown. The workflow also handles failed page requests and price extraction. It records the error, preserves the last valid price and continues to the next listing. A successful later check clears the error. I tested the build with two Portronics charger listings, confirming price comparisons, historical records and recovery after a deliberately failed check. The workflow supports scheduled daily checks and manual runs. The result is a working prototype that brings selected competitor prices into one place, highlights meaningful differences and preserves a record for review—while leaving product selection and pricing decisions with the retailer. Built with: n8n, JavaScript, HTTP requests and Google Sheets. Independent portfolio project based on a simulated client brief. Images show recorded test data and simplified views of the working system.
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Cover image for Where most Sales Manager go
Where most Sales Manager go wrong isn't lack of data, it's getting overwhelmed with numbers and targets. What actually matters is not numbers, but "why" behind it. So we built an Agentic AI Sales Engine that sits on your Telegram, dissects the "why" behind what's happening in your sales team. It doesn't just throws number but tells you why someone is falling short while another pulling ahead, surfaces the operational bottlenecks underneath the numbers, and suggests what can actually be done better, all in real time at 0 infrastructure cost. Problem: A Sales Manager needed a fast way to check teams performance, calls, leads, conversions, pipeline value, but without opening spreadsheets or chasing manual reports. But raw numbers alone don't tell you what to do. Two reps can have identical conversion rates for completely different reasons. The manager needed something that could reason about the data, not just report it but by answering questions like "who needs attention today?" or "why is Rahul underperforming?" What We Built A fully automated Telegram bot, powered entirely by a self-hosted n8n workflow, that reads live data from Google Sheets and combines two layers: hard KPI reporting on demand, and an AI reasoning layer that interprets those numbers into a story a manager can act on. The "Why Layer" This is a part that makes it more than a dashboard, instead of just telling Rahul 12% conversion, the engine reasons over calls, leads pipeline and conversion patterns together and drives an analysis thereby providing the right suggestive next steps. Skills Demonstrated :Workflow automation & API orchestration (n8n) :OAuth 2.0 debugging and Google Cloud API setup :Data processing / aggregation logic (JavaScript in Code nodes) :LLM integration with grounded, hallucination-resistant prompting :Conversational bot design (Telegram Bot API) :Building production-usable tools on a strict zero-cost budget
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Lead Generator(1)
Jatin Agrahari's avatar
Jatin Agrahari
New Delhi, India
Zoho CRM & Lead Automation Specialist
New to Contra
Zoho CRM & Lead Automation Specialist
Cover image for Production-Grade GoHighLevel AI Appointment Booking
Production-Grade GoHighLevel AI Appointment Booking & Lead Nurture System. Designed and implemented a production-grade GoHighLevel automation ecosystem that manages the complete lead-to-client journey. The system automatically captures leads, qualifies prospects using AI-driven workflows, nurtures engagement through automated follow-ups, schedules appointments, manages opportunities, and tracks performance through executive dashboards. Services Provided😍 1. CRM Architecture & Implementation 2. GoHighLevel Automation 3. AI Lead Qualification 4. Lead Nurture Automation 5. Appointment Booking Systems 6. Sales Pipeline Automation 7. Workflow Design & Optimization 8. Reporting & Analytics Tools Used -> GoHighLevel, Make.com, GroqAI
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Cover image for AI-Powered Lead Intake, Qualification &
AI-Powered Lead Intake, Qualification & CRM Operating System Designed and built a production-grade AI-powered lead conversion system that automatically captures, qualifies, enriches, and routes leads into a CRM without manual intervention. The system combines Airtable, Make.com (http://Make.com), HubSpot CRM, Groq AI, Twilio, and WhatsApp to create a complete lead management workflow. New leads are automatically analyzed by AI, assigned qualification scores, enriched with business insights, synced to HubSpot CRM, and prepared for outreach and sales follow-up. Key capabilities include AI lead scoring, qualification summaries, CRM synchronization, WhatsApp automation, lead enrichment, duplicate prevention, activity tracking, and automated pipeline management. The result is a scalable sales automation system that reduces manual data entry, improves lead response speed, and provides sales teams with qualified, actionable opportunities.
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Cover image for Zoho CRM Real Estate Lead-to-Appointment Automation System
Zoho CRM Real Estate Lead-to-Appointment Automation System
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Cover image for Agency Sales Pipeline & Outreach CRM Built in Airtable
Agency Sales Pipeline & Outreach CRM Built in Airtable
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Lead Generator(1)
Shashank Prasoon's avatar
Shashank Prasoon
Delhi, India
Performance Marketer | 15x ROAS | Meta Ads | Google Ads |
Performance Marketer | 15x ROAS | Meta Ads | Google Ads |
Cover image for Performance Marketing for a Luxury
Performance Marketing for a Luxury Real Estete Project | A Luxury Farmhouse Land/Plots | Facebook Ads | Google Ads 🌿 922 Emblica Estate – Luxury Farmhouse Living Near Delhi NCR 922 Emblica Estate is a premium gated farmhouse community in Dausa, Rajasthan, offering a perfect blend of nature, luxury, and high-return investment opportunities—just 2.5 hours from Delhi NCR via the Delhi-Mumbai Expressway. 📍 Prime Location & Connectivity Strategically located in Dausa, Rajasthan, Emblica Estate ensures seamless access to key cities: Jaipur – 45–60 mins Delhi NCR – ~2.5 hours Gurugram, Noida & Delhi within easy driving distance Nearby attractions include Jaipur’s heritage landmarks, Ranthambore National Park, Sariska Tiger Reserve, and Chand Baori, making it ideal for both lifestyle and tourism-driven value. 🌿 Clean Air & Healthy Living 📊 Key Results Managed ₹3.5L+ monthly ad spend (Meta + Google Ads) Generated 600+ qualified leads/month Scaled ROAS from 7x (2024) → 15x (2025) Reduced Cost Per Lead by 30% Built WhatsApp automation-based lead nurturing system Implemented end-to-end tracking (Pixel, CAPI, GA4) ⚙️ What I Did Ran and optimized High-Converting Paid Ad Campaigns Built Lead Generation Funnels with WhatsApp Automation Designed and optimized landing pages for better conversions Implemented advanced tracking systems (Meta Pixel, GTM, GA4, CAPI) Created UGC-style, hook-based creatives aligned with Meta Andromeda Used analytics + retargeting strategies to scale ROI 📞 Final Note:- If you're looking for a Performance Marketing For a Luxury Real Estete Project that offers strong return on ads spent (ROAS) , HNI's / High Quality Leads for your project. You Can Expect : : 25 - 30% Conversion Leads from META Ads. & : 60 - 70% Conversion Leads from Google Ads And if you want to scale a real estate project like this with performance marketing, this case study shows exactly how it’s done.
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Cover image for Expertise: •Funnel Design with Humanized Automation •Retargeting
Expertise: •Funnel Design with Humanized Automation •Retargeting & Lead Nurturing Systems •WhatsApp API Automation
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Cover image for Scaling Solar Energy Business with Performance Marketing
Scaling Solar Energy Business with Performance Marketing
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Cover image for Performance Marketing for a Luxury Real Estete Project
Performance Marketing for a Luxury Real Estete Project
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Lead Generator(2)
AI Workflow Labs's avatar
AI Workflow Labs
Delhi, India
AI Workflow Automation | Lead Gen & CRM Systems
New to Contra
AI Workflow Automation | Lead Gen & CRM Systems
Cover image for Built an automated lead generation
Built an automated lead generation and CRM workflow using ChatGPT, Zapier, Google Sheets, CRMs, and webhooks. The system captures inbound leads, qualifies prospects automatically, updates CRM records, and triggers smart follow-up workflows for sales teams. Features included: • AI lead qualification • CRM automation • Automated email follow-ups • Google Sheets integration • Webhook automations • ChatGPT-powered responses Focused on helping businesses reduce manual work and improve operational efficiency.
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Cover image for Built an AI-powered email automation
Built an AI-powered email automation and follow-up workflow using ChatGPT, Zapier, Make.com (http://Make.com), Google Sheets, APIs, and webhooks. The system automatically: • captured leads from forms and websites • generated AI-powered personalized email responses • triggered personalized follow-up sequences • updated CRM records automatically • sent notifications to sales teams Features included: • AI email automation • Smart follow-up workflows • CRM integrations • Google Sheets automation • Webhook and API integrations • Lead nurturing systems Focused on helping businesses improve response speed, automate communication, and increase operational efficiency.
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Cover image for Helping businesses automate repetitive workflows
Helping businesses automate repetitive workflows using ChatGPT, Zapier, Make.com (http://Make.com), APIs, CRMs, and webhooks. Recently built: • AI lead qualification systems • CRM automation workflows • Automated follow-up systems • Google Sheets + API integrations • AI-powered business workflows Automation saves time, reduces manual work, and helps teams scale efficiently.
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Cover image for Built an AI-powered workflow automation
Built an AI-powered workflow automation system using ChatGPT, Zapier, OpenAI APIs, Google Sheets, CRMs, and webhooks. This automation system helps businesses reduce manual work, automate lead management, trigger follow-ups, and streamline operations.
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Lead Generator(1)
Saurabh Rajvanshi's avatar
Saurabh Rajvanshi
Noida, India
I build AI workflows that save businesses 10+ hrs/week
New to Contra
I build AI workflows that save businesses 10+ hrs/week
Cover image for AI lead qualification system — replaced 11-person team with 3
AI lead qualification system — replaced 11-person team with 3
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Cover image for AI B2B Outreach Engine —
AI B2B Outreach Engine — Apollo + Gemini + Make.com (http://Make.com) Built an end-to-end AI-powered cold email system for a corporate accommodation company targeting HR managers in Noida. Used Apollo.io (http://Apollo.io) to source and verify 760 leads, exported to Google Sheets, then built a Make.com (http://Make.com) automation that uses Google Gemini AI to write a personalized 3-sentence email for each contact — referencing their name, company, and industry. Emails delivered via Zoho Mail with CC to client. 9 emails sent in the first run with 100% deliverability.
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Cover image for AI Voice Calling Agent —
AI Voice Calling Agent — Vapi + Make.com (http://Make.com) + Google Sheets Built an AI-powered inbound voice agent named Shreeja for KyrosAura, a wealth advisory firm. The agent answers calls from the website, qualifies leads by confirming a minimum 50 Lakh investment mandate, collects caller name, phone number, and preferred meeting time, then automatically logs the booking to Google Sheets via Make.com (http://Make.com). Supports Hindi and English detection automatically. Built on Vapi, Claude Haiku, ElevenLabs, and Deepgram.
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Cover image for Lead Capture Website — Private
Lead Capture Website — Private Capital Firm (Framer): Designed a premium dark-themed lead capture website for a private wealth management firm using Framer. Prototype features multi-step form, dropdown selectors, and gold CTA. Final version built in HTML/CSS and deployed live at kyrosaura.com (http://kyrosaura.com) with a fully automated Make.com (http://Make.com) backend pipeline.
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Lead Generator(2)