Lakshminath Shah

Why this persona fits the audience

He works on a 14-person marketing team in Bengaluru and tracks whether AI assistants recommend his brand for category queries like skin care and supplements. He has not paid for a dedicated AI visibility tool; he usually checks a fixed prompt set manually in ChatGPT and Perplexity and keeps the notes in a spreadsheet.

• Age: 29
• Location: Bengaluru, India
• Occupation: Performance Marketer
• Income: ₹18L
• Education: Bachelor's degree in Business Administration
• Company size: Series-B funded D2C brand with 120 employees
• Years in role: 3

“‘My joy is finding a 30% improvement that costs ₹0. If it’s not free, it better be faster than me.’”

Lakshminath Shah, 29, grew up in Vijayanagar, Bengaluru, helping his parents at their small grocery store while dreaming of a corporate career. His frugality comes from watching his parents’ margins shrink to ₹500 a day during lockdowns. He broke into performance marketing at 26, learning by optimising Meta ads for a shampoo brand. Now at a Series-B D2C company, he’s hyper-focused on AI assistant visibility—a trend he first noticed when his intern mentioned ‘ChatGPT saying our collagen brand sucks.’ Lakshminath’s current obsession is building a manual tracking system for AI recommendations, balancing his spreadsheet skills with his team’s limited budget. He’s convinced AI visibility will be ‘the next SEO’ but struggles to prove it to his CEO. His days are split between data wrangling, manual AI checks, and polite resistance to unnecessary tool spends. Lakshminath’s knee surgery scare last year turned him into a marathon runner—his next goal is sub-4 hours, despite his wife’s teasing that ‘you’re just chasing KMs to justify buying more shorts.’ Financially, he’s aggressive but cautious, having seen his parents’ savings vanish in one bad year. His work ethic is intense but timeboxed—he shuts down Slack at 7 and won’t entertain ‘last-minute’ requests. His biggest workplace frustration? ‘People calling AI ‘magic’ when it’s just a paid sales bot with a better UI.’ His secret pride? The Python script he cobbled together to scrape AI responses, which he refuses to admit is broken 30% of the time.

Background & daily life

A day in their life

Lakshminath’s weekday starts with a 6 AM run, followed by a quick shower and dosa. By 9:15 AM, he’s at his desk in the home office, juggling a spreadsheet full of AI assistant responses and a Zoom call with the design team. He spends the morning testing variations of ‘best vegan protein powder’ in ChatGPT, noting which competitors rank higher. His 12 PM lunch break is usually leftovers, eaten while scrolling Twitter for martech updates. Afternoons are for meetings—today it’s a heated debate with the CEO about AI’s ‘magical’ growth potential. By 6 PM, he’s running A/B tests on Meta ads, then crashes at 7:30 PM with his college cricket group’s WhatsApp party. Evenings are spent meal-prepping and replying to strings of unread Slack messages.

Lifestyle

Lakshminath lives in a 3BHK apartment in HSR Layout with his wife (a UX designer) and his parents. His days start at 6 AM with a 5 km run, followed by a quick breakfast of dosa and filter coffee before his 9 AM work-from-home routine. He’s obsessive about meal prep—cooking in batches to avoid wasted time. Weekends are split between cricket matches with college friends and helping his parents at their store. He’s saving aggressively for a down payment on a second apartment but reframes it as ‘financial freedom for my wife and me before 35.’ His social circle is tight-knit, mostly ex-colleagues and cricket teammates who share memes in a WhatsApp group. Health remains a priority post-a-knee-surgery scare last year, hence the running.

Work life

As a performance marketer for a fast-growing D2C brand, Lakshminath’s core focus is tracking AI assistant visibility—whether ChatGPT or Perplexity recommend his brand for queries like ‘best collagen supplements’ or ‘acne treatments for men.’ His team uses a mix of free tools and manual checks, with Lakshminath personally coding a few Google Apps Scripts to automate some of the reporting. He’s currently optimizing a Python script to pull metadata but isn’t sure if it’s worth the dev hours. His manager pressures him to ‘unlock AI’s full potential,’ while the CEO wants quick wins to justify the last funding round. Lakshminath spends 30% of his day in spreadsheets, 20% in meetings, and the rest experimenting with prompt variants. He’s frugal with his budget, often pushing back on expensive tools unless they show 20%+ efficiency gains.

Relationships

Lakshminath’s closest relationships are with his wife (who’s his first sounding board) and his cricket teammates from college. He respects his manager but finds him overly hype-driven. His parents’ small business struggles influence his own frugality. His childhood friend, now a product manager in the US, sends him obscure martech tools to test—often without context. He avoids office politics but can’t resist mentioning his marathon training to colleagues. His wife’s design network often drags him to industry talks, where he feels ‘out of place but learning.’ His father’s stubbornness about going cashless is a recurring irritation.

How they decide

Skeptical-but-willing-to-test. He’ll try anything free for 2 weeks but demands hard proof before committing. His decisions are often delayed by over-researching. He values peer validation (especially from his US friend) but ultimately trusts his own data. Avoids emotional purchases unless it’s a cricket jersey or a new running shoe.

How they sound

Speaks in rapid, staccato sentences with a slight Karnataka accent. Uses phrases like ‘that number doesn’t add up,’ ‘why waste time when…,’ and ‘just send me the CSV.’ Avoids jargon unless explaining to non-marketers. Prone to cricket analogies (‘this campaign’s a slow outfield—needs more spin’). His emails are polite but direct, with a habit of cc’ing everyone ‘just in case.’