Freelancers using Facebook Ads in Delhi
Freelancers using Facebook Ads in Delhi
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Hans Bellani
New Delhi, India
Digital Marketing Leader with $50Mn+ Managed
$1k+
Earned
1x
Hired
5.0
Rating
10
Followers
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Digital Marketing Leader with $50Mn+ Managed
2
Peak Season Promotion for Agriscience Brand
2
58
0
Performance Marketing Campaign for a Travel Business
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37
0
Jewellery Shopify Website with 100+ SKUs
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23
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Business Website Design for my work
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21
Facebook Ads
(2)
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Piyush goel
Gurugram, India
Boosting ROI with Expert Paid Ads Services & Emails
11
Followers
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Boosting ROI with Expert Paid Ads Services & Emails
0
Meta Ads Lead Generation for Cellayxs
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5
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Meta Ads Management for Kickstarter Campaign
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22
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Lead Generation Excellence in Real Estate
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2
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Mad over Maldives - Lead generation for travel business
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8
Facebook Ads
(6)
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Chandan pandey
Delhi, India
Performance Marketing - PPC & Paid Media Expert
11
Followers
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Performance Marketing - PPC & Paid Media Expert
1
Achieved 6X+ ROAS in 30 Days for a DTC Jewelry Brand
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12
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Meta Ads Campaign for Medical Services
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13
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Driving Online Sales Growth Through Strategic Funnel Targeting
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7
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Early-Stage Campaign Success: 6X ROAS Achieved from Day One
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8
Facebook Ads
(4)
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Ashish Gupta
Delhi, India
8+ Years in Performance Marketing | 30Cr Managed | 3.5x ROAS
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8+ Years in Performance Marketing | 30Cr Managed | 3.5x ROAS
0
🚀 Performance Marketer | Meta, Google & TikTok Ads I help eCommerce and DTC brands scale profitably through data-driven paid advertising. From campaign strategy and account setup to creative testing, conversion tracking, and ROAS optimization, I manage the entire performance marketing funnel. 📈 Experience managing multi-crore ad budgets 🎯 Expertise in Meta, Google & TikTok Ads 🛒 Specialized in Shopify & eCommerce growth 📊 Focused on scalable customer acquisition and profitability Looking to grow your brand with paid media? Let's connect.
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Outcasts – Performance Marketing Case Study Overview Outcasts is a premium fashion and streetwear brand where I have been leading performance marketing initiatives for over a year. My role involves managing high-scale advertising budgets across Meta and Google Ads, driving customer acquisition, revenue growth, and profitability through data-driven marketing strategies. The primary focus has been building a scalable full-funnel growth engine while optimizing acquisition costs, conversion rates, and overall return on ad spend. Objective Scale revenue while maintaining profitability. Increase customer acquisition through Meta and Google Ads. Improve ROAS, conversion rates, and customer lifetime value. Build a sustainable growth framework for long-term brand expansion. Challenges Scaling ad spend efficiently in a highly competitive fashion market. Managing creative fatigue and audience saturation. Maintaining profitability while increasing revenue. Continuously improving conversion rates across the customer journey. Solution & Approach Developed a full-funnel acquisition and retention strategy. Implemented advanced audience segmentation, including broad, lookalike, and retargeting campaigns. Established a structured creative testing framework across creatives, offers, and messaging. Leveraged GA4, Meta Ads Manager, Shopify Analytics, and performance dashboards for data-driven decision-making. Optimized landing pages, product pages, and campaign structures to improve ROAS and customer acquisition efficiency. Results Meta Ads Performance (Jan – Jun 2026) Ad Spend: 2.05 Crore+ Attributed Revenue: 4.54 Crore+ Purchases: 15,000+ Average ROAS: 2.21x Impressions: 7.39 Crore+ Reach: 71.9 Lakh+ Blended Business Performance (Jan – Jun 2026) Total Store Sales: 7+ Crore Sessions: 2.36 Million (+82%) Orders: 25,700+ (+62%) Sales Growth: +90% Long-Term Account Management Monthly Budget Managed: 40L–₹50L+ Average ROAS: ~3x Successfully scaled the brand while maintaining profitable customer acquisition and sustainable growth. Key Learnings Creative testing remains the largest growth lever in fashion e-commerce. Audience expansion combined with creative diversification enables sustainable scaling. Full-funnel optimization significantly improves both revenue and profitability. Strong alignment between performance marketing, creative strategy, and website experience drives long-term growth. Project Impact Over the past year, I have helped Outcasts scale into a stronger D2C fashion brand by managing 40L–₹50L monthly advertising budgets, generating 7+ Crore in blended sales within 6 months, and building a scalable acquisition and retention framework that supports continued revenue growth and profitability.
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Zeodra Fashion – Performance Marketing Overview Zeodra Fashion is a D2C fashion brand where I led performance marketing efforts across Meta and Google Ads. My focus was on scaling revenue profitably, improving customer acquisition, and building a sustainable growth engine through full-funnel marketing strategies. Over the course of the project, I managed ₹4.5+ Crore in ad spend, generating ₹15+ Crore in revenue with an average 4x ROAS. Objective Scale revenue while maintaining profitability. Increase customer acquisition at a sustainable CAC. Improve ROAS through audience, creative, and funnel optimization. Build a scalable Meta and Google Ads ecosystem. Challenges Increasing competition in the fashion industry. Rising CPMs and acquisition costs. Creative fatigue affecting campaign performance. Scaling budgets without impacting profitability. Core Problems Identified Audience saturation in key segments. Inconsistent creative performance. Conversion drop-offs across the purchase funnel. Limited scalability of winning campaigns. Solution & Approach Built a full-funnel strategy covering prospecting, retargeting, and retention. Implemented continuous A/B testing of creatives, audiences, and offers. Leveraged catalog sales, dynamic retargeting, and lookalike audiences. Optimized landing pages and product pages to improve conversion rates. Monitored key KPIs including ROAS, CAC, CTR, CPC, and AOV to guide scaling decisions. Results Overall Performance ₹4.5+ Crore Ad Spend Managed ₹15+ Crore Revenue Generated 4x Average ROAS 20% Profit Margin Achieved 4-Month Performance Snapshot Ad Spend: ₹1.85 Crore Revenue Generated: ₹4.16 Crore Purchases: 13,749 Impressions: 7.39 Crore+ Reach: 67 Lakh+ Average ROAS: 2.24x Key Learnings Consistent creative testing is the biggest driver of scalable growth. Full-funnel marketing significantly improves overall account performance. Data-driven optimization helps maintain profitability while scaling budgets. Small improvements in conversion rates can have a substantial impact on ROAS and revenue. Project Impact Successfully scaled Zeodra Fashion through strategic media buying, creative optimization, and performance-focused decision-making, generating ₹15+ Crore in revenue from ₹4.5+ Crore ad spend while building a sustainable growth framework for the brand.
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Overview Bionutrica is a D2C eCommerce brand in the health and wellness space focused on delivering high-quality nutrition-based products. The objective of the performance marketing efforts was to scale online sales profitably through Meta (Facebook & Instagram) advertising while building a sustainable return on ad spend. Objective The primary goal was to achieve and maintain a minimum ROAS of 2X and above, ensuring that paid media investments consistently generated profitable returns while supporting scalable revenue growth. Challenges Low initial campaign efficiency with ROAS as low as 0.85X High budget fragmentation across multiple underperforming ad sets Lack of structured funnel strategy leading to inconsistent conversions Inefficient creative testing framework resulting in ad fatigue Rising cost per acquisition due to poor audience targeting and overlap Core Problems Identified Budget burn without clear winner campaigns, leading to negative returns Fragmented account structure causing internal audience cannibalization Weak optimization signals due to insufficient conversion data consolidation Lack of creative diversity and testing velocity Poor retargeting structure resulting in missed high-intent users Solution & Approach To resolve performance inefficiencies and scale profitability, a structured performance framework was implemented: Rebuilt the campaign architecture by consolidating fragmented ad sets into a clean, conversion-focused structure Shifted optimization strategy toward purchase-optimized campaigns with clear conversion signals Implemented creative testing system (multiple hooks, angles, and formats for rapid iteration) Strengthened audience segmentation strategy, separating cold, warm, and retargeting pools Introduced budget reallocation strategy, scaling only high-performing ad sets while cutting wasteful spend Improved tracking and decision-making using daily performance monitoring across CTR, CPC, CPA, and ROAS Enhanced retargeting efficiency through sequential messaging and engagement-based audience building Results Achieved £80K revenue from £36K ad spend Improved average performance to 2.19 ROAS Stabilized account performance from unprofitable (0.85X ROAS) to consistent profitability Reduced budget wastage through structured scaling and pruning Built a repeatable performance framework for ongoing scaling Key Learnings Campaign structure plays a critical role in determining efficiency before scaling spend Creative fatigue is one of the biggest drivers of ROAS decline and must be managed proactively Consolidated data signals significantly improve Meta’s optimization ability Scaling is not about increasing budgets, but about identifying and doubling down on profitable pockets Continuous testing and iteration are essential for sustaining performance in competitive D2C categories WEBSITE LINK - bionutrica.com
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72
Facebook Ads
(5)
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Kashif Shahid
New Delhi, India
Facebook Ads that Scale - Boost ROAS, Lower Ad Cost
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Facebook Ads that Scale - Boost ROAS, Lower Ad Cost
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Black Friday Cyber Monday 2024
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3
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How we helped a cosmetic brand reach 1 million euros in revenue
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15
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Info-Product Business Scale from 4 figs to 6 Figs in 90 Days
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11
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Vegan Skincare Brand Achieves 6x ROAS in 5 Months
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9
Facebook Ads
(4)
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Asif Izhar
Sonipat, India
Scaling B2C & D2C Brands with Paid Ads + Creative Strategy
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Scaling B2C & D2C Brands with Paid Ads + Creative Strategy
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Scaling Backpack & Accessories DTC Brand | Google & Meta Ads
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1
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Eco-friendly Bedding DTC Brand | Google & Meta Ads
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1
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Scaling Dubai Based Sneaker Brand to 455K+ Sales
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1
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Facebook Ads
(3)
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Manav Gupta
Gurugram, India
We run ads and grow sales | Performance Marketing Agency
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We run ads and grow sales | Performance Marketing Agency
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PRR - Case Study (Industry: Local Business - Roofing)
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2
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Century - Case Study (Industry: D2C & B2B)
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Foxit - Case Study (Industry: SaaS)
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Facebook Ads
(3)
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Ajay Bidyarthy- AI Full Stack Developer
Delhi, India
Build production-ready AI applications with Machine Learning
14
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Build production-ready AI applications with Machine Learning
2
I help brands grow their online presence, engage the right audience, and convert attention into real business results. My approach combines creative storytelling with data-driven marketing strategies to build strong digital identities across platforms. Key Skills: Social Media Strategy & Management Content Creation & Branding Paid Advertising (Facebook, Instagram, LinkedIn Ads) Audience Targeting & Growth Strategies Campaign Planning & Execution SEO & Digital Marketing Strategy Analytics & Performance Optimization Influencer & Community Management
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I worked on managing digital marketing campaigns while building clear, easy-to-understand dashboards to track performance and improve decision-making. The focus was not just on running campaigns, but on understanding what’s working and continuously optimizing results. My Tech Stack Marketing Platforms: Facebook Ads Manager, Instagram, TikTok Ads Analytics: Google Analytics, Meta Insights, platform analytics tools Dashboard & Reporting: Google Sheets, Looker Studio (Google Data Studio) Data Handling: Excel, CSV data analysis Design Tools: Canva, Figma (for ad creatives) Automation: Zapier (for workflow automation if needed) Tracking: UTM parameters, conversion tracking setup
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A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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4
AI Chatbot Application Development
4
866
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(2)
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