From a standing start to ₹70 lakhs a month in 8 months.

About 1970 Shop

1970 Shop launched with a strong product and a blank slate. No sales history, no pixel data, no proof that paid media would work at all. The Shizz was brought in to build the entire D2C engine from scratch: media, creative, and the path from ad click to checkout. Inside eight months the brand was clearing ₹70 lakhs a month.

That is the engagement in one line, but the interesting part is what a standing start actually costs you. A new account has no purchase history for the platform to learn from, no retargeting pool, and no benchmark for what a good cost per acquisition even looks like. Everything has to be established before anything can be scaled.

The challenge

Starting from zero is its own kind of hard. There is no historical data to lean on, no winning creative to scale, and no audience signal worth trusting. Every rupee of early spend is a bet. The brand needed proof fast, not a six-month science experiment. The mechanics make this worse than it sounds. Meta and Google both optimise against a conversion history the account does not yet have, so early delivery is close to random and early cost per acquisition reads high whatever the creative does.

Founders see that number, react, and either cut spend or change the offer every week, which resets learning and guarantees the number never improves. The real risk at a standing start is not losing money. It is losing the data.

What we corrected

The first weeks were run as a structured testing sprint: fast cycles of creative, audience and offer, reading signal early and cutting losers without sentiment. A test only teaches you something if one variable moves at a time and the budget behind it is large enough to clear the noise floor, so tests were sized to produce a readable result rather than spread thin to feel busy.

As winners emerged, spend went into them rather than across the whole set. Lookalikes were built off real buyers, not page engagers or video viewers, because a purchaser seed teaches the platform what a paying customer looks like instead of what a curious one does. A retention flow was layered in so the earliest customers came back rather than being bought once and forgotten.

Our approach

The acquisition funnel was deliberately narrow: a handful of hero creatives, iterated constantly, rather than a wide catalogue of ads each starving for data. Concentration is the point. Fewer ad sets means each one accumulates conversions faster, exits the learning phase, and delivers at a stable cost, which is what makes scaling predictable instead of jumpy. The creative direction followed from one read of the audience. The doubt was not about quality.

It was about whether the brand was a real thing with real people behind it. Trust-led creative, the kind that shows the product, the people and the process, beat feature-led ads that listed benefits to strangers with no reason to believe them yet. Data picked the winners, spend followed the data, and cost per acquisition stayed in view the whole way.

The results

Eight months in, 1970 Shop was doing ₹70 lakhs a month from a zero base, with a stable funnel and a real pipeline of repeat buyers. A ₹70 lakh month reached through one lucky creative falls over the moment the creative fatigues. This one sat on a tested creative bank, buyer-seeded lookalikes and a retention flow, which is why it held.

The full funnel was built ground-up over those eight months, not inherited. What the brand kept was not the revenue figure but the machine underneath it: known winning angles, a warm audience pool, and an account with enough conversion history to keep learning on its own.

How paid media learns when an account has no history

The first constraint on a cold launch is not budget, it is information. Ad platforms allocate delivery using a model trained on the account's own conversions, so a new account starts with nothing to train on and spends its early rupees buying data as much as buying sales. That is why cost per acquisition almost always looks worst at the beginning, and why the common reaction, changing everything at once, is the expensive one.

The standard practice is to concentrate spend on few enough ad sets that each collects conversions quickly, to hold the offer and landing page fixed while creative is tested, and to build audiences off actual purchasers as soon as there are enough of them. Retention is set up early rather than later, because the cheapest second order is the one planned for before the first.

What we ran

On 1970 Shop, The Shizz ran Meta Ads, Google Ads, Content Creation, Creative Strategy and CRO Consultation.