Orders · last 30 days
Going well148
Up from 10 orders in all of July. Weekly orders went from 8–23 in August to roughly 30–50 since mid-September.
Product & Business Leader0→1 & 1→100 ScalingD2C & eCommerceEx-AmazonCo-Founder @ nutndiet®
I'm Nagaraja Bhat, co-founder of nutndiet®, a bootstrapped D2C food brand, and a former Amazon program and product leader across India and Europe. 20+ years turning data, systems and hands-on execution into profitable growth.
Previously Amazon (India & EU HQ) · Oracle · MBA, HEC Paris
Bengaluru, India

Get in touch
Hiring, building a brand, or curious how I'd approach a problem? Send a note, or reach me directly. WhatsApp is fastest.
“Nag has an ability to navigate complex cross-functional teams and ensure project delivery. What sets him apart is his experience as an E-commerce seller, which allows him to view product challenges through a unique lens.”
Two journeys, one operator
Starting something new, or scaling something that works. Tap either side to flip the switch.
0 → 1 · Entrepreneur
Since 2018 I've co-founded nutndiet®, owning product, pricing, performance marketing, supply chain and the P&L. It's the hands-on, in-the-trenches side of my work: validate fast, learn from the numbers, build a growth engine that pays for itself.
nutndiet.com is where I own the customer relationship end to end: product, conversion, site speed and performance marketing.
Where the D2C engine is today, from live order and ad data (mid-October 2026).
Orders · last 30 days
Going well148
Up from 10 orders in all of July. Weekly orders went from 8–23 in August to roughly 30–50 since mid-September.
Landing page conversion
Going well1.8–3%
Of landing page visitors buy, depending on the ad creative. 1.8% blended across every ad I have run.
CAC · September
Going well₹560
Down 53% from ₹1,200 in August, as the creatives and landing page improved. About ₹580 over the last 30 days.
Average order value · October so far
Going well₹982
Up from ₹567 in August. The 5L can drives most of the lift, with buy-one-get-one offers adding the rest. The latest week is above ₹1,100.
Each order got bigger, month after month.
| Period | Orders | Avg order value |
|---|---|---|
| August | 47 | ₹567 |
| September | 138 | ₹670 |
| October (to 17 Oct) | 48 | ₹982 |
| Latest week (to 17 Oct) | 21 | ₹1,106 |
Net of cancelled and returned orders, from my order tracker (data from 10 Aug). About 90% of the lift comes from steering customers to the 5L can, and about 10% from two-unit buy-one-get-one offers. Still watching whether it holds.
Acquisition got cheaper as creatives and the landing page improved.
| Period | CAC |
|---|---|
| August | ₹1,200 |
| September | ₹560 |
| Last 30 days | ₹580 |
CAC is Meta ad spend divided by purchases. The last 30 days run to 14 Oct.
Different creatives convert differently. The average is a solid base.
| Ad creative | Conversion | Avg order value |
|---|---|---|
| Product banner | 3.0% | ₹527 |
| 5L can + free gift | 2.0% | ₹959 |
| 1L pouch differentiator | 1.8% | ₹618 |
| All ads, 10 weeks | 1.8% | ₹637 |
Conversion is purchases divided by landing page views from Meta ads. Order value is as attributed by Meta, and only creatives with 10+ orders are shown. 5L can orders in my order tracker average over ₹2,100.
The goal is a business that keeps 15–20% as EBITDA out of a 45% gross margin. New customers are acquired close to break-even; the profit comes when they buy again. Per ₹100 of order value:
Acquisition is kept close to contribution-margin neutral.
| Per ₹100 of order | 1L pouch | 5L can |
|---|---|---|
| Gross margin | 45% | 45% |
| Discounts at sale | −13% | −16% |
| Delivery | −15% | −10% |
| Marketing | −19% | −27% |
| Contribution margin | −3% | −8% |
Marketing assumes creator collabs (about ₹100 an order) for the 1L pouch and Meta ads (about ₹700 an order) for the 5L can. A model, not yet proven.
This is where the money is made.
| Per ₹100 of order | 1L pouch | 5L can |
|---|---|---|
| Gross margin | 45% | 45% |
| Discounts at sale | −5% | −17% |
| Delivery | −15% | −10% |
| Marketing | −2% | −2% |
| Contribution margin | 23% | 17% |
Repeat customers are reached with WhatsApp nudges and personal follow-ups, at under ₹1 a message. After fixed costs of about ₹70K a month, a 17–23% contribution margin works out to roughly 15–20% EBITDA. A model, not yet proven.
What the numbers say
Amazon, Flipkart and Quick Commerce platforms are where the brand found its first customers and built trust at scale.
1 → 100 · Program & Product Leader
At Amazon I led product and program initiatives in pricing, availability and inventory. Data, systems thinking and cross-functional leadership, turned into outcomes at scale. Programs are where I'm strongest: take something that works, and make it work everywhere.
Roles across Amazon India and Europe, each with the outcome I'm proudest of.
Jul 2019 – Mar 2021 · Bengaluru
Amazon
Orchestrated a 300 bps lift in India-wide 3P Price Competitiveness Index and wrote the roadmap (mobile pricing, similarity-based pricing and rule-based automation) for a further 200 bps and a 900 bps automation surge.
Jul 2017 – Jul 2019 · Bengaluru
Amazon
Led a 10-person team scaling buying automation: 22x in-stock SKUs and ₹60 Cr in incremental revenue.
May 2016 – Jul 2017 · EU HQ
Amazon
€10M annualised revenue from cross-functional programs, plus the EU pilot behind a projected €120M revenue opportunity.
2014 – 2016 · EU HQ
Amazon
A UK pricing model that added £2M+ in annual profit, as part of pricing for 1M+ SKUs across 5 countries.
2012 – 2014 · EU HQ
Amazon
Found that ~40% of Kindle eBook customers had lapsed, then re-activated nearly 100K of them with targeted discount emails (Project Alchemy): €2M+ in annualised sales.
Before Amazon: Senior Consultant at Oracle, where I built the order management system for Toyota Europe (1M+ orders a year). MBA from HEC Paris.
Work & receipts
A live brand you can open and check for yourself, plus two ventures I'm exploring next.
The headline outcomes from my Amazon years, with the full detail on LinkedIn.
How I can help
Pick the closest match and I'll answer the questions you probably have.