India,8th October 2025: In an effort to give back to the entrepreneurial ecosystem, Excellent Publicity, an ad-tech saas agency, has announced the launch of a pro bono consultation initiative designed to guide and mentor early-stage businesses in India.

With over 13 years of experience in the advertising industry, Excellent Publicity has witnessed firsthand the hurdles faced by startups struggling to build visibility in saturated markets. Recognizing that many young businesses lack access to trustworthy guidance, the agency has committed to offering free strategic consultations to ventures less than a year old or generating under ₹1 crore in annual revenue.

“At the beginning of our own journey, we had no one to turn to,” said Vaishal Dalal, Co-founder of Excellent Publicity, who will personally lead this initiative. “Within our first 10 months, we faced setbacks and financial losses that nearly broke us. We were fortunate to rebuild, but not everyone gets that chance. This program is our way of ensuring that new entrepreneurs don’t feel as alone as we once did.”

Every day, dedicated slots will be opened for one-on-one sessions covering brand building, marketing, and business growth strategies. The initiative seeks to reduce the high failure rate among startups by providing them with the right tools, clarity, and confidence at a stage when guidance can make all the difference. The eligible candidates can register for their session by visiting the "Startup Consultation" page on Excellent Publicity's website.

“This isn’t about profits, it’s about purpose,” Vaishal added. “One entrepreneur finding their way forward can spark jobs, opportunities, and growth for many others. We want to create that ripple effect.”

The consultations will be offered with no obligations attached. Entrepreneurs can freely implement the insights they gain, whether or not they choose to engage further with the agency.

As of now, the initiative is planned as a one-time program, though Excellent Publicity has expressed openness to expanding it into a larger model depending on its impact.