Scaling Revenue & Profit with BooleanMaths
Scaling Revenue & Profit with BooleanMaths
P&L Margin: 12.76% → 14.21%
P&L Margin: 12.76% → 14.21%
Blended ROAS: 3.67 → 4.03
Blended ROAS: 3.67 → 4.03
Revenue per Day: ₹10.9L → ₹22.5L
Revenue per Day: ₹10.9L → ₹22.5L
P&L Margin: 12.76% → 14.21%
Blended ROAS: 3.67 → 4.03
Revenue per Day: ₹10.9L → ₹22.5L
Lifestyle D2C Brand on Shopify
Period Compared
Before: December 2025
After: Jan 1–10, 2026
The Challenge
The brand was actively spending across Meta and Google but found it difficult to scale. Decisions were driven by platform-reported ROAS, which often painted a misleading picture.
As a result, budget reallocations were sometimes counter-productive, causing blended ROAS to decline instead of improve.
Behind the scenes, over-attribution, hidden channel overlaps, and lack of visibility into true profitability were quietly limiting growth.
BooleanMaths’ Solution
We onboarded the brand onto BooleanMaths at the start of December. The first week was focused on fixing tracking gaps and ensuring all incoming traffic was captured and parsed accurately.
Once the data foundation was stable, we enabled multi-touch attribution with cross-channel journey stitching, giving the team a clear view of how Meta, Google, Organic, and owned channels worked together.
The brand also wanted visibility into YouTube and other Google placements, so these conversions were surfaced directly inside the BooleanMaths dashboard. Finally, we integrated their shipping partners and turned on live P&L tracking, allowing performance to be measured beyond ROAS.
The goal was simple: move from ad-platform metrics to business-impact metrics.
Profitability was monitored daily, and campaigns with high True ROAS were scaled aggressively, while inefficient spend was quickly corrected.
Which Ad Campaigns to SCALE?
Which Channels & Placements are working?
BooleanMaths’ Impact
After spending December learning and optimising, the first 10 days of January delivered standout results.
With BooleanMaths, the brand achieved:
P&L Margin: 12.76% → 14.21% A clear improvement in overall profitability.
Revenue per Day: ₹10.9L → ₹22.5L Nearly 2× revenue growth without sacrificing efficiency.
Blended ROAS: 3.67 → 4.03 Smarter budget allocation driven by true attribution and real P&L insights.
In short, BooleanMaths enabled the brand to scale faster, spend smarter, and grow profitably.
Before
Decisions were driven by platform ROAS, leading to over-attribution, channel overlaps, declining blended ROAS, and poor visibility into true profitability.
After
Ad Spend optimised using multi channel attribution + live P&L
3.67 → 4.03 Blended ROAS
10.9L → 22.5L Revenue/Day
12.8% → 14.2% P&L Margin
Find out how BooleanMaths can help you enrich your sessions.
Find out how BooleanMaths can help you enrich your sessions.
The Challenge
The brand was actively spending across Meta and Google but found it difficult to scale. Decisions were driven by platform-reported ROAS, which often painted a misleading picture.
As a result, budget reallocations were sometimes counter-productive, causing blended ROAS to decline instead of improve.
Behind the scenes, over-attribution, hidden channel overlaps, and lack of visibility into true profitability were quietly limiting growth.
BooleanMaths’ Solution
We onboarded the brand onto BooleanMaths at the start of December. The first week was focused on fixing tracking gaps and ensuring all incoming traffic was captured and parsed accurately.
Once the data foundation was stable, we enabled multi-touch attribution with cross-channel journey stitching, giving the team a clear view of how Meta, Google, Organic, and owned channels worked together.
The brand also wanted visibility into YouTube and other Google placements, so these conversions were surfaced directly inside the BooleanMaths dashboard. Finally, we integrated their shipping partners and turned on live P&L tracking, allowing performance to be measured beyond ROAS.
The goal was simple: move from ad-platform metrics to business-impact metrics.
Profitability was monitored daily, and campaigns with high True ROAS were scaled aggressively, while inefficient spend was quickly corrected.
Which Ad Campaigns to SCALE?
Which Channels & Placements are working?
BooleanMaths’ Impact
After spending December learning and optimising, the first 10 days of January delivered standout results.
With BooleanMaths, the brand achieved:
P&L Margin: 12.76% → 14.21% A clear improvement in overall profitability.
Revenue per Day: ₹10.9L → ₹22.5L Nearly 2× revenue growth without sacrificing efficiency.
Blended ROAS: 3.67 → 4.03 Smarter budget allocation driven by true attribution and real P&L insights.
In short, BooleanMaths enabled the brand to scale faster, spend smarter, and grow profitably.
Before
Before
Decisions were driven by platform ROAS, leading to over-attribution, channel overlaps, declining blended ROAS, and poor visibility into true profitability.
After
After
Ad Spend optimised using multi channel attribution + live P&L
3.67 → 4.03 Blended ROAS
10.9L → 22.5L Revenue/Day
12.8% → 14.2% P&L Margin
Lifestyle D2C Brand on Shopify
Period Compared
Before: December 2025
After: Jan 1–10, 2026