Customer words
Hundreds of real reviews and comments in your category, before we write a line.
We find why customers choose your product, turn those reasons into ads, and run Meta tests against store results to decide what to improve, scale or stop next.
Operating experience on our own brand, Fusked, first. Then for clients like Ecoera, Quell, and Cravista. Founder review of every batch.
Brands we’ve worked with
Watch the approach · 3 min 35 sec
Vaibhav explains how customer research, creative and Meta testing connect to purchases, acquisition cost and your next growth decision.
If every new ad says the same thing, what is a new reason you're gonna give your customers to buy? At Scale On Steroids, we find the reasons that make people buy your product, turn these into ads, and finally run tests on them as ads on Meta and Google. the aim for us is to help you get your ideal customers to buy at a cost that is affordable for you. you try changing everything from hook to the edit to the creator, but still the exact pain point remains the same behind the scenes, and you're still wondering where to put in more money next. And that is, the problem with the whole D2C space is that they're testing aggressively, but they don't know what to test, I am Vaibhav, and I've been running D2C brands we are one of the top 30 brands in the Amazon Accelerator Program, and we have seen our brand bleed as well. So I know how it feels like to be on the other side, burning a lot of cash and then still figuring out how do we scale this brand because we have a lot of inventory lying in. And running an e-commerce business is chaos. there's so much to do, the creatives, the supply chain, the fulfillment, the customer support, and all of this. And behind the scenes, you're worrying what creative to test next. And that is what we are here to solve. how we do this is by something we call as an angle engine. how this works is we find a product, find the angles around that, we figure out what tests to run and figure out what to scale. Let me show you with a skincare example. Same moisturiser, but two very different reasons someone might choose it One buyer wants a simpler morning routine. Another cares about how it feels under makeup. We look through reviews and customer questions to see which reason has support Say the morning routine comes up repeatedly. We check that the product delivers on it. Then we build the ad around that reason, show the product in use, and carry the same message onto the product page We follow the journey through. Does the page answer their questions? Where are people dropping off? Would a relevant follow-up help? That tells us what needs fixing alongside acquisition Then we judge the test by purchases, acquisition cost, and what is left after the costs of the sale. If people click but don't buy, we investigate. If the economics work and we have enough evidence, we test more volume Each test should tell us where to put the next pound or dirham. That is the angle engine. Understand the buyer, test the reason, and use the result to make the next growth decision our team carries the work through three different things. One is the customer research and finding the reasons to buy. Second is the meta ads production, and third is actually running these ads and testing what worked. we do 40 creatives each month, and run it across a testing budget that is mutually agreed. And finally, we give you a log at every month, what is being tested, what all worked, and what all didn't work. we agree on a meta spend that is paid by you, and we take care of all the things that are necessary to run it and execute this well. If you want a clear plan for acquiring more customers, apply below. It takes about four minutes, and I review every application. If we are a fit, the first planning session is free. You leave with a written first test plan and the buying reasons we'd start with
More ads help when they give people different reasons to buy.

Vaibhav ThakurFounder, Scale on Steroids
We built this first for Fusked, our own brand. Fusked is our money. We had our own capital tied up in inventory and the next ad spend decision. We kept what sold and dropped what only filled a report.
That’s the whole service. Find why buyers choose your product, turn those reasons into ads, run the tests, and read the store results to decide what deserves the next investment.
Five steps, every month.
Hundreds of real reviews and comments in your category, before we write a line.
What buyers say, sorted into distinct reasons to buy: the routine, the gift, the label, the price, the objection.
Around 8 reasons to buy, real variations inside each. 40 finished videos a month.
Ad results read next to what your store took in, using the costs you agree to share. Meta’s numbers are only one view.
A short written log each month. What we tested, what happened, and what deserves the next budget.
If it isn’t good enough to run on Fusked, it doesn’t ship.
Leave any month after the first and take them with you.
Month to month after that.
When the two disagree, you hear it from us first.
Every month, in plain English.
Included in your first month
Our monthly fee and your ad spend are separate. You get the exact monthly fee and any optional pilot price in writing before you decide.
We double the angles that pull their weight, cut the ones that don’t, and plan the next 40 around what we learned.
You get a written breakdown of what we tested and why we think it missed. You keep every ad and the log. Stay if the next plan makes sense. Leave if it doesn’t.
Bad AI ads do. That’s why a person writes every brief and reviews every ad against a checklist before it runs. We use your real product footage where it matters, and AI presenters are always labelled as AI.
We quote the exact monthly fee in writing after the planning session. Your ad spend is separate, and an optional pilot has its own price. You decide before committing to either.
You could make 40 ads with AI tools in an afternoon. Knowing which reasons to buy are worth a test, and why one of them won, is the part the tools don’t do. That’s what you’d be paying for.
So you keep the account and every finished ad, there’s no lock-in after month one, and when something fails you get the reason in writing.
Revenue growth is the goal we work toward. We guarantee the agreed delivery and review process; a fixed sales or ROAS result is not guaranteed. Your product, pricing, stock, store and market also affect the result.
No. We work from your product, your existing assets and AI-produced formats. If you want to be on camera, we’ll script it for you.
4-minute application. Vaibhav reviews every one. If we fit, your first planning session is free. We will explain the paid work and what the first test would involve.
Selling to other businesses instead? Go to the B2B page.
If we’re not the right fit, we’ll say so and tell you why.
Plan my next growth test