Freelancers using Google Ads in Gurugram
Freelancers using Google Ads in Gurugram
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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
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57
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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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17
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Comprehensive Digital Strategy for Luxury Furniture Brand
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28
Google Ads
(1)
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Chandan pandey
Delhi, India
Performance Marketing - PPC & Paid Media Expert
11
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Performance Marketing - PPC & Paid Media Expert
1
Google Ads Campaign Results — Last 14 Days (Aug 21 – Sep 3, 2025) Here’s another campaign performance snapshot that shows how consistent optimization can lead to cost-effective conversions: ✅ 8.31K Clicks ✅ 391 Conversions ✅ $2.62K Total Spend ✅ $6.71 Cost per Conversion By refining keywords, improving ad relevance, and optimizing bidding strategies, I was able to drive high-quality leads at a very efficient cost. This campaign is a great example of how data-driven adjustments and continuous testing help achieve strong ROI, even with a moderate budget.
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Weekend mission accepted: Client project time! All about Google Ads conversion tracking today—fixing setup errors and building a new, clean system via GTM. Gotta make sure those conversions count! Let's go!👍
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Google Ads Management for Mental Health Brand
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4
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Driving Online Sales Growth Through Strategic Funnel Targeting
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7
Google 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
Google Ads
(5)
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Deepak Singh
Delhi, India
Founder @ EstgoMax | Google Ads, Meta Ads & SEO Expert
New to Contra
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Founder @ EstgoMax | Google Ads, Meta Ads & SEO Expert
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Your Competitors Aren't Waiting for Referrals In today's competitive market, relying solely on referrals can limit business growth. While referrals remain valuable, they're often unpredictable and difficult to scale. Successful businesses combine referrals with data-driven digital marketing to generate a consistent flow of qualified leads and new customers. Platforms like Google Ads and Meta Ads allow businesses to reach high-intent audiences, measure campaign performance, optimize marketing spend, and make decisions based on real data—not guesswork. This concept highlights a simple reality: businesses that track performance, optimize campaigns, and invest in measurable marketing are better positioned to grow consistently. Key Takeaways Reach customers actively looking for your services. Make decisions using real performance data. Reduce wasted ad spend through optimization. Build a predictable lead generation system. Scale growth with measurable marketing strategies.
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Free Google & Meta Ads Account Audit Many businesses spend thousands on Google Ads and Meta Ads without knowing where their budget is being wasted. This audit is designed to uncover hidden issues, missed opportunities, and performance bottlenecks that may be limiting your results. What's Included: Campaign Structure Review Audience & Targeting Analysis Ad Creative & Copy Review Conversion Tracking Audit Budget Allocation Review Wasted Spend Identification Growth Opportunities & Recommendations Who It's For? Businesses spending $500+ per month on Google Ads or Meta Ads and looking to improve performance, lower acquisition costs, and maximize ROI. What You'll Receive A detailed audit report with actionable recommendations you can implement immediately to improve campaign performance and reduce wasted ad spend. 🎁 100% Free Account Audit 📩 Request your free Google & Meta Ads audit today.
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E-Commerce Fashion Brand Google Shopping Case Study Challenge This e-commerce fashion brand was struggling to maximize sales through Google Shopping campaigns. After a detailed audit, we identified product feed issues and Merchant Center optimization opportunities that were limiting product visibility, search relevance, and campaign performance. Solution Before scaling ad spend, we focused on improving the foundation: ✅ Merchant Center Optimization ✅ Product Title Optimization for High-Intent Keywords ✅ Feed Error & Warning Resolution ✅ Product Category & Attribute Improvements ✅ Google Shopping Campaign Restructuring ✅ Ongoing Performance Optimization Results 📈 9,464 Conversions 💰 $213K Ad Spend 🛍️ $1.95M Conversion Value 🚀 913% ROAS Outcome By optimizing the product feed and resolving Merchant Center issues, we significantly improved product visibility and search relevance. This enabled Google Shopping campaigns to drive higher-quality traffic, increase conversions, and generate profitable revenue growth at scale.
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Hair Transplant Clinic Meta Ads Case Study Challenge The clinic was generating leads through Meta Ads, but the cost per lead (CPL) was too high, making it difficult to scale campaigns profitably. The account also lacked proper audience segmentation and creative testing. Solution ✅ Audience Research & Refinement ✅ Meta Pixel Optimization ✅ New Ad Creative Testing ✅ Lead Form Optimization ✅ Retargeting Campaign Setup ✅ Continuous Campaign Optimization Results 📈 Reduced Cost Per Lead (CPL) 🎯 Improved Lead Quality 📞 Increased Consultation Inquiries 💰 Better Return on Ad Spend Outcome By optimizing audience targeting, improving creatives, and refining the lead generation funnel, we lowered CPL and helped the clinic generate more qualified inquiries at a sustainable cost.
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10
Google Ads
(3)
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Minakshi Chaurasiya
Delhi, India
Tailored Digital Strategies for Your Brand
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Tailored Digital Strategies for Your Brand
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INSIGHT DIGITAL on Instagram: “There are a lot of strategies to…
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INSIGHT DIGITAL on Instagram: “Don’t use hashtags if you don’t …
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INSIGHT DIGITAL on Instagram: “Social media plays a crucial rol…
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Google Ads
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Krishiv Trehan
Delhi, India
Get qualified pipeline for your B2B SaaS with paid ads
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Get qualified pipeline for your B2B SaaS with paid ads
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Business Intelligence Software Client
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19
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GetResponse
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Test Management Software Client
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Google Ads
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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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Century - Case Study (Industry: D2C & B2B)
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Foxit - Case Study (Industry: SaaS)
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Google Ads
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Ajay Bidyarthy- AI Full Stack Developer
pro
Delhi, India
Build production-ready AI applications with Machine Learning
13
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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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AI Chatbot Application Development
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681
Google Ads
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