Vikas R.

💎𝗦𝗰𝗮𝗹𝗲𝗱 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗥𝗢𝗔𝗦 𝘁𝗼 𝟳-𝟭𝟱𝗫, 𝗿𝗲𝗱𝘂𝗰𝗲𝗱 𝗖𝗣𝗟 𝗯𝘆 𝟮𝟱-𝟲𝟬% 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗹𝗲𝗮𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗠𝗲𝘁𝗮, 𝗕𝗶𝗻𝗴, 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 & 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗲𝗱 𝟭𝟮-𝟮𝟱% 𝗔𝗖𝗢𝗦 𝗼𝗻 𝗔𝗺𝗮𝘇𝗼𝗻 𝗔𝗱𝘀💎

Hi, I’m a performance-driven digital marketing specialist helping 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗯𝗿𝗮𝗻𝗱𝘀, 𝗹𝗼𝗰𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 & 𝗕𝟮𝗕 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 to scale profitably through 💥𝗚𝗼𝗼𝗴𝗹𝗲 𝗮𝗱𝘀, 𝗠𝗲𝘁𝗮 𝗮𝗱𝘀, 𝗕𝗶𝗻𝗴 𝗮𝗱𝘀, 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗮𝗱𝘀, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗮𝗱𝘀, 𝗥𝗲𝗱𝗱𝗶𝘁 𝗮𝗱𝘀, 𝗔𝗽𝗽𝗹𝗲 𝗮𝗱𝘀, 𝗡𝗮𝘁𝗶𝘃𝗲 𝗮𝗱𝘀 & 𝗦𝗘𝗢.💥 As a Google Ads Specialist, Facebook Ads Manager, Amazon Ads Expert, Bing Ads Manager, LinkedIn Ads Manager & Media Buyer, I build data-driven ad systems focused on ROAS growth, lower CPL, controlled ACOS, and predictable revenue, not just vanity metrics. 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝘁𝘆𝗽𝗶𝗰𝗮𝗹𝗹𝘆 𝘀𝗲𝗲 𝟮𝟱-𝟲𝟬% 𝗹𝗼𝘄𝗲𝗿 𝗖𝗣𝗟, 𝟳-𝟭𝟱𝗫 𝗥𝗢𝗔𝗦 𝗮𝗰𝗿𝗼𝘀𝘀 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗠𝗲𝘁𝗮, 𝗕𝗶𝗻𝗴, 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻, 𝗮𝗻𝗱 𝟭𝟮-𝟮𝟱% 𝗔𝗖𝗢𝗦 𝗼𝗻 𝗔𝗺𝗮𝘇𝗼𝗻 𝗔𝗱𝘀 𝗯𝘆 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗼𝗻𝗹𝘆 𝗽𝗿𝗼𝘃𝗲𝗻 𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀. On Upwork, I’m trusted for conversion-first systems, 𝗰𝗹𝗲𝗮𝗻 𝗚𝗔𝟰 & 𝗚𝗧𝗠 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴, 𝗵𝗶𝗴𝗵-𝗶𝗻𝘁𝗲𝗻𝘁 𝗸𝗲𝘆𝘄𝗼𝗿𝗱 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 across Google Search ads, Bing Search ads, Google Shopping ads, Google Performance Max ads, Facebook ads / Instagram ads, Amazon Sponsored ads, and LinkedIn ads, delivering results that clients retain long-term.

I work with local businesses, eCommerce brands, and lead-generation companies that want measurable growth. My campaigns are built to drive calls, bookings, appointments, sales and pipeline, backed by clean tracking and data-led decisions.

For 🎯 𝗹𝗼𝗰𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀, I specialize in high-intent Google ads, Bing ads that 𝗰𝗼𝗻𝘃𝗲𝗿𝘁 𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝘀 𝗶𝗻𝘁𝗼 𝗽𝗵𝗼𝗻𝗲 𝗰𝗮𝗹𝗹𝘀 𝗮𝗻𝗱 𝗳𝗼𝗿𝗺 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀. Through hyper-local targeting, intent-based keywords, and conversion optimization, I help businesses generate consistent leads at a lower CPL.

For 🛒 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗯𝗿𝗮𝗻𝗱𝘀, I 𝘀𝗰𝗮𝗹𝗲 𝗥𝗢𝗔𝗦-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 using Google Shopping ads, Google Performance Max ads, Meta ads, Amazon Sponsored ads. From account structure to product segmentation and budget control, every optimization is focused on profitable growth, not wasted spend.

My framework is simple and proven: 𝗧𝗿𝗮𝗰𝗸 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆 → 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁𝗹𝘆 → 𝗦𝗰𝗮𝗹𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝗰𝗼𝗻𝘃𝗲𝗿𝘁𝘀.