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How Vakaboom went from ₹0 to ₹3.5 Lakhs a month in 75 days — with ROAS holding steady the whole way up
At a glance
- Client
- Vakaboom — home cleaning brand
- Market
- India
- Category
- Multi-surface wipes, stain removers, limescale removers, cleaning bundles
- Engagement
- Meta Ads built from scratch, creative testing, phased scaling
- Starting point
- Brand new launch — zero sales history, zero ad data, zero customer insights
Nothing to build on — everything to build from scratch
Vakaboom is a home cleaning brand offering products like multi-surface cleaning wipes, stain removers, limescale removers, and cleaning bundles designed for everyday use.
When Vakaboom partnered with us, the brand had just launched. The website was live and the products were ready, but there was no sales history, no ad data, and no customer insights. As a completely new brand, we had to build everything from scratch — from testing creatives and identifying the right audience to creating a profitable Meta Ads strategy.
The objective was to build a profitable customer acquisition system from the ground up while maintaining healthy advertising efficiency. Rather than chasing rapid, unsustainable growth, our goal was to create a scalable performance marketing engine capable of delivering consistent revenue.
× Before
- No sales history to learn from
- No ad data or audience insights
- No proven creatives or messaging
- No customer insights of any kind
- Unknown path to profitable acquisition
✓ After
- ₹3.5L+ in monthly revenue within 75 days
- Winning creatives, audiences & structure identified
- 2.5X average ROAS while scaling
- Stable efficiency, no drop-off as spend grew
- A profitable Meta Ads system built for the long term
Data first, scale second
To achieve sustainable growth, we followed a structured scaling approach:
Build the Meta Ads account from scratch
No existing account, no shortcuts — the entire structure was built new, with scale in mind from day one.
Launch and validate multiple campaign structures
Rather than betting on a single structure, we launched several in parallel to see which framework the account actually responded to.
Test creatives and messaging to find winners
A variety of creatives and messaging angles were tested from the start — the goal was to find winning combinations quickly, not guess at one.
Optimize targeting using performance data
As the first real performance data came in, audience targeting was refined around what was actually converting.
Increase spend gradually, based on profitability
Budget went up in step with proven performance — never as an aggressive bet on unproven campaigns.
Continuously monitor metrics to protect efficiency
Campaign metrics were tracked throughout — not just at milestones — to keep efficiency intact while revenue grew.
First month: testing and gathering data
The first month was focused on testing and gathering data. Since Vakaboom was a completely new brand, we launched Meta Ads with no historical data or audience insights. We invested ₹22,000 in ad spend and generated ₹88,000 in revenue, achieving a 1.81X ROAS. More importantly, this testing phase helped us identify the best-performing creatives, audiences, and campaign structure — creating a strong foundation for profitable scaling in the following months.
Scaling — more revenue without losing efficiency
With winners identified, we scaled budgets on proven ad sets and cut everything underperforming.
With winning creatives and audiences identified in the first month, we shifted our focus to scaling. Revenue more than doubled, reaching ₹2.93 Lakhs, while ROAS improved to 2.21X. Instead of sacrificing efficiency to increase sales, we scaled using proven campaign structures and data-backed optimizations, allowing both revenue and profitability to grow together.
Zero to ₹3.5 Lakhs, with ROAS holding steady
Within just 75 days, Vakaboom transformed from a newly launched brand with zero sales history into a business generating over ₹3.5 Lakhs in monthly revenue.
The journey began with ₹88,000 in revenue during the first month while achieving a 1.81X ROAS. As we identified winning creatives, audiences, and campaign structures, revenue scaled rapidly to ₹2.93 Lakhs in the second month. By the third month, Vakaboom crossed ₹3.5 Lakhs in revenue, all while maintaining an average ROAS of around 2.5X.
Unlike many accounts where increasing ad spend leads to declining efficiency, Vakaboom maintained a stable ROAS throughout the scaling journey — growing revenue consistently without compromising profitability.
| Metric | Outcome |
|---|---|
| Month 1 revenue | ₹88,000 (1.81X ROAS) |
| Month 2 revenue | ₹2.93L (2.21X ROAS) |
| Month 3 revenue | ₹3.5L+ (~2.5X avg ROAS) |
| Timeline | 75 days |
| Total growth | ₹0 → ₹3.5L+ monthly |
What you can steal from this
The 4 moves that did the work:
Treat month one as data collection.
The first month's job is finding winners, not maximizing ROAS — a modest return with real data beats a lucky spike.
Scale proven ad sets, cut the rest.
Don't spread budget hoping underperformers improve — put money behind what's already working.
Increase spend in step with profitability.
Gradual, evidence-based budget increases are what protect ROAS as revenue grows.
Monitor continuously, not at milestones.
Efficiency needs tracking at every step of scaling — not just a check-in at the end of the month.
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