Mumbai's Adsmagnify Enters Version 2.0 With AI Upgrades and Expanded Academy as It Targets Stronger Client Delivery in 2026

Business partners Vinay Hankare and Aloke Bajpai are leading the transition. The two are upgrading the agency's internal AI systems to improve campaign execution, data analysis, and reporting across client accounts. The office renovation is part of a broader effort to build an environment aligned with that operational scale.

Adsmagnify Academy, the training arm of the business, is being expanded alongside the agency upgrade. The stated goal for 2026 is direct: deliver better results for existing clients, help more businesses grow revenue, and graduate capable performance marketers through the academy.

Track Record and Current Scale

Adsmagnify has been operating as a digital marketing agency since 2016. Over that period, it has managed more than ₹50 crore in total ad spend and claims $51 million in cumulative revenue generated for clients.

The agency currently works with 300-plus brands across travel, real estate, retail, and education. Documented results from its published case studies include a 17.16x ROAS for a travel brand on ₹1.3 lakh in Meta ad spend, a 400% sales surge for an apparel brand through Facebook Ads, and a 7x ROAS increase for a D2C brand over eight months. Average lead growth for B2B and SaaS clients is reported at 127%.

The Academy: A Focused Bet on Performance Marketing Talent

Adsmagnify Academy occupies a specific position in Mumbai's marketing education space. It is currently the only academy in Mumbai that focuses exclusively on performance marketing, as distinct from broader digital marketing courses that cover platforms superficially across multiple disciplines.

The curriculum covers Meta Ads, Google Ads, SEO, and campaign strategy at a practitioner level. More notably, the academy offers internships that place students inside the agency itself. Graduates leave with hands-on experience running real client campaigns, not just platform certifications or theoretical knowledge. That distinction matters in a job market where employers increasingly separate candidates who have managed actual ad spend from those who have only completed coursework.

The internship model also gives Adsmagnify a structured pipeline of trained talent, which addresses one of the more persistent operational challenges for growing agencies.

The Market It Is Operating In

Mumbai is India's most competitive market for digital marketing services. The city hosts hundreds of agencies ranging from boutique performance shops to large integrated networks. Demand from SMEs, D2C brands, and real estate developers for measurable, ROI-linked marketing has grown sharply since 2021, accelerated by deeper paid media adoption across categories.

As a performance marketing agency in Mumbai, Adsmagnify competes on case-study-backed results rather than brand scale or agency size. Its dual model, combining a client-serving agency with a practitioner training academy, is a structure that several mid-size Indian agencies are beginning to explore, though few have formalized both under one brand with the depth of specialization Adsmagnify is building toward.

What This Signals

The 2.0 upgrade reflects a pattern emerging across mid-market Indian digital agencies. As ad platform complexity increases and AI tools become table stakes, agencies that build proprietary systems and internal talent pipelines are likely to separate from those running on manual processes and generalist teams.

For Adsmagnify, combining AI-enhanced delivery, a renovated operational base, and a performance-only academy with real internship exposure is a bet on consistency and depth rather than episodic client wins. The academy creates a secondary revenue stream while simultaneously solving the talent problem from within.

Whether the AI integration translates into measurable improvements in client outcomes, and whether the academy model scales beyond Mumbai, remains to be demonstrated. The results Adsmagnify produces through 2026 will be the real test of the 2.0 thesis.