Most brands distribute this across 4โ5 people. At Borosil, the connective tissue between every function was one person โ which meant the Sokhi campaign, the HGH booth, the Amazon listings, and the Meta ads all spoke the same language. That coherence is harder to manufacture than any individual result.
The promotion came after 8 months โ not at the 1-year mark. It reflected scope that was already being delivered at a level above the title. Marketing Manager work, Executive title. That's the gap this portfolio closes.
Punjab only. Pan-India potential was significantly higher. Proved: trust-led launches outperform awareness-led launches in offline categories.
B2B audience โ buyers, distributors, retail chains. Entirely different strategy from any consumer campaign. The booth wasn't designed to generate awareness โ it was designed to open distributor conversations and close retail partnerships. The post-event lead follow-up content was written for buyers, not consumers: category data, margin structures, and brand compliance assets that moved conversations from booth to contract.
Meta and Google ran different jobs. Meta built desire โ awareness and consideration for a brand most consumers associated with lab glassware, not kitchenware. Google captured intent โ search and shopping for buyers already in-market. The 4ร ROAS held across both because the creative and copy were written for where the buyer was in the funnel, not recycled across channels.
One specific miss worth naming: a product launch campaign mid-tenure where the Meta creative was strong but the landing page wasn't ready at the same brief quality. Traffic arrived, intent was there, and the PDP let it down โ copy that didn't match the ad promise, images that weren't optimised for mobile. The ROAS on that campaign was the lowest of the 19 months. It taught me that integrated only works if every link in the chain is held to the same standard โ including the ones you don't directly control, and the ones that feel like someone else's job to fix.
Cohort Sokhi-acquired customers and track 90-day repurchase rate vs brand average. The day-one number is impressive โ but if those buyers never came back, the celebrity investment ROI looks very different. The thesis was right. The proof only covers the launch, not the retention effect.
The website is brand identity at rest โ it's what a buyer, distributor, or press contact sees between every campaign. With 19 months and the full marketing function owned, a structured website improvement sprint should have been scoped early. The issues were known. They just kept getting deprioritised against louder campaign deadlines.
Marketing Mix Model from month one โ isolates which channels drove incremental revenue. When you own everything, you need to know which parts are actually pulling weight and which are just busy.
When you own every function, you stop thinking in channels and start thinking in customer journeys. The Sokhi campaign worked because the Amazon listing, the trade video, and the in-store presence were all one conversation. Most marketing organisations fragment that conversation across teams. I learned to hold it together โ and I learned what breaks when you don't.
A single attribution model that connects every channel to revenue โ before the first campaign goes live. At Borosil the breadth was real but the measurement wasn't unified enough to prove which parts were driving incremental growth. I know how to build the work. The next step is building the proof that travels up to leadership without losing anything in translation.
Borosil was a 19-month integrated marketing function owned by one person. Celebrity collab, retail partnerships, trade events, Meta & Google, SEO. The 4ร+ ROAS held because every channel was speaking the same sentence. Here's the complete mix โ rationale, brief, and what the integrated picture should have included.
Borosil's 19-month integrated function taught me one thing above all: coherence is harder to manufacture than any individual result. The Sokhi campaign worked because the Amazon listing, the trade video, and the in-store asset were one sentence. The next layer to build โ and what was missing โ is a unified Marketing Mix Model that isolates which channels are pulling weight and which are just busy. You can't optimise what you can't attribute.