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RESULTS

Proof in the dashboard.

Every number on this page comes straight from Meta Ads Manager — real brands, real spend. Client names are hidden; the results aren't.

BLENDED ROAS DELIVERED
5.4X–11.83X
BLENDED ROAS DELIVERED
PEAK MONTHLY CLIENT REVENUE
₹1.5 CR+
PEAK MONTHLY CLIENT REVENUE
TYPICAL TIME TO RESULTS
30–40 DAYS
TYPICAL TIME TO RESULTS
SPECIALISTS ON THE TEAM
25+
SPECIALISTS ON THE TEAM

OUR PROPRIETARY FRAMEWORK

The Ecom Performance System

A structured, repeatable approach to creative testing, account architecture and budget allocation that turns scattered ad spend into predictable, scalable growth.

  1. 01TEST
  2. 02ANALYSE
  3. 03OPTIMIZE
  4. 04SCALE
  1. 01

    Creative strategy

    Testing different creative angles, hooks and messaging.

  2. 02

    Campaign structure

    Building campaigns around actual business objectives.

  3. 03

    Audience strategy

    Identifying and testing relevant customer segments.

  4. 04

    Budget optimisation

    Moving budget toward campaigns showing stronger signals.

  5. 05

    Continuous testing

    Testing creatives, audiences and structures instead of relying on assumptions.

  6. 06

    Performance optimisation

    Making decisions based on data rather than vanity metrics.

CASE STUDY 01 · D2C APPAREL BRAND

₹3L spent with zero meaningful results. Then we took over.

AD ACCOUNT SCALED

₹3L→₹13.64L+

THE PROBLEM

Before working with The Scale House, the brand had already invested about ₹3,00,000 into Meta advertising — and the campaigns weren't generating meaningful results for the business.

The problem wasn't simply the amount being spent. The brand was spending without a performance system that could consistently identify what was working, what wasn't, and where the next rupee should go. ₹3L spent, ₹0 meaningful results: that was the starting point.

THEN WE TOOK OVER

Instead of simply increasing the budget, we rebuilt the approach around performance. We focused on:

  • Creative strategy

    Testing different creative angles and messaging

  • Campaign structure

    Building campaigns around actual business objectives

  • Audience strategy

    Identifying and testing relevant customer segments

  • Budget optimisation

    Moving budget toward campaigns showing stronger signals

  • Continuous testing

    Testing creatives, audiences and campaign structures

  • Performance optimisation

    Decisions based on data, not vanity metrics

THE RESULT

With a structured performance marketing approach in place, the account scaled to ₹13.64L+ in total ad spend across 48 campaigns.

This was never just about taking a brand from ₹3L to ₹13.64L in ad spend. It was about changing the entire way the brand approached paid acquisition.

BEFORESpend → No results → Uncertainty

AFTERTest → Analyse → Optimize → Scale

TOTAL AD SPEND
₹13.64L+
TOTAL AD SPEND
IMPRESSIONS
3.57 Cr+
IMPRESSIONS
REACH
1.46 Cr+
REACH
CAMPAIGNS
48
CAMPAIGNS
AVERAGE CPM
₹38.20
AVERAGE CPM

Screenshots from Meta Ads Manager · client names blurred · click to zoom.

CASE STUDY 02 · D2C FASHION BRAND

From 0.3X ROAS to 5.71X average ROAS.

PURCHASE ROAS

0.3X→5.71X

THE PROBLEM

When the brand approached us, their Meta Ads account was struggling badly. The campaigns were generating traffic, but the economics simply weren't working.

At 0.3X ROAS, every ₹1 spent on advertising generated only around ₹0.30 in attributed revenue. The brand wasn't just struggling to scale — the existing acquisition model was losing money.

OUR APPROACH

We went back to the fundamentals to identify the core reasons behind the poor performance. Campaigns were restructured around clearer objectives, multiple creative angles and hooks were introduced, and different audience segments were tested to learn what resonated.

Budget was then reallocated toward the stronger campaigns and ad sets. Instead of treating the account as set-and-forget, we put a continuous testing and optimisation process in place to keep finding the next improvement.

THE RESULT

The account went from an acquisition system running at 0.3X ROAS to a setup where the reported average purchase ROAS reached 5.71X.

That's the difference between spending on ads and building a performance marketing system.

AVERAGE PURCHASE ROAS
5.71X
AVERAGE PURCHASE ROAS
TOTAL SPEND
₹50,158
TOTAL SPEND
LINK CLICKS
17,185
LINK CLICKS
AVERAGE CPC
₹2.92
AVERAGE CPC
ADDS TO CART
1,941
ADDS TO CART

Screenshots from Meta Ads Manager · client names blurred · click to zoom.

CASE STUDY 03 · D2C APPAREL BRAND

From a flat 2.08X to a blended 6.45X ROAS.

BLENDED ROAS

2.08X→6.45X

THE PROBLEM

The brand came to us stuck at 2.08X ROAS — well below what their product economics could support.

Ad spend was scattered across too many ad sets without a clear performance hierarchy, bid strategies were inconsistent, and there was no system to double down on what worked while cutting what didn't. Some ad sets were quietly bleeding budget; others with real potential weren't getting the spend they deserved.

“Budget was flowing. Performance wasn't.”

OUR APPROACH

Our first move was a ground-up audit of every active campaign. Rather than tweaking the existing setup, we rebuilt the account around performance tiers — separating consistent winners from underperformers.

Creative testing came next, and within the second week we'd pinpointed the format and structure that clicked with this brand's audience. On the media-buying side, we matched bid strategy to each ad set's stage — cost-per-result for stability, highest-volume to push scale — and kept moving budget toward whatever the data proved, week over week.

THE RESULT

Faster creative wins and sharper budget discipline compounded: the account went from a flat 2.08X to a blended 6.45X ROAS across 11 ad sets, with 2,052 purchases.

BLENDED ROAS
6.45X
BLENDED ROAS
PURCHASES
2,052
PURCHASES
CTR (FROM 0.86%)
3.09%+
CTR (FROM 0.86%)
BEST AD SET ROAS
29.16X
BEST AD SET ROAS
FREQUENCY — ROOM TO SCALE
1.22–1.43
FREQUENCY — ROOM TO SCALE

Screenshots from Meta Ads Manager · client names blurred · click to zoom.

BEFORE VS AFTER

CASE STUDY 04 · D2C FASHION BRAND

From 1.84X to 5.40X ROAS in 40 days.

PURCHASE ROAS IN 40 DAYS

1.84X→5.40X

THE PROBLEM

When this brand approached us, the account was averaging just 1.84X ROAS across multiple campaigns despite roughly ₹1.9L in ad spend.

Link clicks were coming in, but conversions weren't following through — CTR hovered around 1.54%, and several ad sets were spending heavily (₹45K, ₹51K) without returns that justified the outlay.

“The account had scale. It just wasn't converting it into efficiency.”

OUR APPROACH

We started with a complete teardown of the account to separate wasted budget from real potential. Then came 2.5 weeks of structured creative testing before locking in the winning creative structure and format — long enough to rule out false positives instead of chasing early signals that fade.

Once the format was locked, we rebuilt the account around it: spend consolidated into fewer, stronger ad sets, a shift to highest-volume bidding where the data supported it, and the ad sets that weren't earning their budget paused.

THE RESULT

Within 40 days of full implementation, purchase ROAS climbed from 1.84X to 5.40X — nearly 3X the starting point — with one ad set alone reaching 6.79X.

PURCHASE ROAS
5.40X
PURCHASE ROAS
TOP AD SET ROAS
6.79X
TOP AD SET ROAS
DAYS TO FULL RESULTS
40
DAYS TO FULL RESULTS
WEEKS OF CREATIVE TESTING
2.5
WEEKS OF CREATIVE TESTING

Screenshots from Meta Ads Manager · client names blurred · click to zoom.

BEFORE VS AFTER

LET'S WORK TOGETHER

Your brand has the product.We have the system to scale it.

It starts with a free account audit to find exactly where your current setup is leaving performance on the table, followed by a strategy session tailored to your brand. Results typically show within 30 to 40 days.

SEE RESULTS
+91 63775 69624SUPPORT@THESCALEHOUSE.INWHATSAPP