Bombay Shaving Co. Whilter.AI
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How ElevateOS nearly doubled Bombay Shaving Co.'s ROAS

Whilter.AI broke the creative-supply ceiling — 50+ on-brand variants a week took the winning ad set from 3.54× to 6.49×.

The impact
~85% ROAS uplift
~80% Conversion-rate (CRO) uplift
68% Creative approval rate
Purchase ROAS — Whilter creative vs control
3.54× 6.49×
Meta ad set 1.8×
Before After

Sample head-to-head ad set (Meta Ads Manager): the Whilter 'AI Assets' set vs the incumbent control over the same window.

Link CTR — Whilter creative vs control
1.36% 2.45%
Meta ad set 1.8×
Before After

Same sample ad set — click-through nearly doubled on the Whilter creative.

Metric (sample ad set)ControlWhilter AI creativeUplift
Purchase ROAS3.54×6.49×+83%
Link CTR1.36%2.45%+80%

* Matched head-to-head experiments — before/after measured on the same product line and audience, over the same window.

The challenge A saturated category — and a creative pipeline at its ceiling.

Bombay Shaving Co. is a fast-growing grooming and personal-care D2C brand built on always-on paid acquisition.

By late 2025, four things were true at once:

  • Crowded category. Grooming and personal-care is saturated with performance advertisers competing for the same attention.
  • A hero SKU plateaued. Return on ad spend on a top product had stalled as audiences saturated.
  • Manual creative couldn't scale. Holding ROAS demanded more on-brand variants than a manual pipeline could produce.
  • Brand safety slowed launches. Every variant needed compliance review before it could go live.
How Whilter approached it

Brand DNA, locked into the engine.

ElevateOS locked the brand's DNA inside the engine and generated brand-compliant variants at scale, signal-tested for the winning angles, and scaled spend behind performers on early signals — an always-on optimisation loop that shipped fast without trading away brand compliance.

a · Strategy

Every variant born on-brand

The brand's rules live inside the engine, so every generated variant inherits them by default — no after-the-fact fixes.

b · Solution

Creative diversity at scale

50+ on-brand variants a week against the SKU — far past what a manual creative pipeline could sustain.

c · Tech

Compliance without the queue

Brand rules enforced during generation, so creative shipped fast without an after-the-fact review bottleneck.

d · Execution

Signal-test, then scale

Winning angles were found on early performance signals; budget only followed the performers.

  1. 1

    Lock the brand DNA

    Codify the brand's visual and verbal rules inside the engine so every output is compliant.

  2. 2

    Generate at volume

    Produce 50+ brand-compliant creative variants a week against the SKU.

  3. 3

    Signal-test for winners

    Read early performance signals to find the angles that convert.

  4. 4

    Scale spend behind performers

    Put budget behind proven creative and retire the rest.

  5. 5

    Optimise always-on

    Keep refreshing so winners compound and fatigue never drains ROAS.

The weapon

The work, in evidence — a few of the assets Whilter shipped, and the account data behind the numbers.

Meta Ads Manager · Whilter 'AI Assets' ad set vs control — ROAS 6.49× vs 3.54×, CTR 2.45% vs 1.36%
Meta Ads Manager · Whilter 'AI Assets' ad set vs control — ROAS 6.49× vs 3.54×, CTR 2.45% vs 1.36%
ElevateOS · Bombay Shaving Co. — illustrative (production ad creatives to be swapped in)
ElevateOS · Bombay Shaving Co. — illustrative (production ad creatives to be swapped in)
Why it worked

Compliance by construction

Brand rules were enforced during generation, not reviewed after — so speed never cost the brand.

Velocity unlocked testing

Enough on-brand variants to find winners fast in a saturated category.

Signal over opinion

Winning angles were chosen on early performance signals, not taste.

Spend followed proof

Budget scaled only behind creative that had already shown lift.

The compounding insight brand-safe creative at volume turned a saturated, plateaued account back into a compounding one — on the winning ad set ROAS nearly doubled, and the brand kept shipping fast without trading away compliance.

Want results like these for your brand?

Snapshot
Industry
Beauty & Personal Care
Company size
Mid-Market
Channel
Meta · Paid Social
Region
India
Use case
Performance creative at scale
Engine
ElevateOS
Methodology & notes

Figures come from the brand's Meta Ads Manager. The sample head-to-head compares the Whilter 'AI Assets' ad set against the incumbent control over the same window (Dec 2025 – Jan 2026): Purchase ROAS 3.54× → 6.49× and link CTR 1.36% → 2.45%. Headline uplifts (~85% ROAS, ~80% conversion-rate, 68% creative approval) are directional across the engagement; creative approval = share of generated variants passing brand review.

Bombay Shaving Co. — frequently asked questions

What results did Whilter deliver for Bombay Shaving Co.?

~85% ROAS uplift · ~80% CRO uplift · 68% creative approval. Delivered with ElevateOS. See the full breakdown above.

How were these results measured?

Figures come from the brand's Meta Ads Manager. The sample head-to-head compares the Whilter 'AI Assets' ad set against the incumbent control over the same window (Dec 2025 – Jan 2026): Purchase ROAS 3.54× → 6.49× and link CTR 1.36% → 2.45%. Headline uplifts (~85% ROAS, ~80% conversion-rate, 68% creative approval) are directional across the engagement; creative approval = share of generated variants passing brand review.

Can Whilter deliver results like this for our brand?

Start with a Growth Assessment. We map your accounts, identify the highest-leverage problem, and show you what the connected engine would ship next. Explore more enterprise growth stories.