Case studiesSix brands · documented

Growth,documented.

Not a logo wall. Six engagements written out in full — the state the brand walked in with, the plays we ran, and the numbers that moved because of them. Where a figure is published, it is exactly as it was reported to the client.

₹60L+Annual media spend under management
3.58 lacsNew customers added for a single brand
+2.2×Best ROAS lift inside six months
— The index6 engagements · jump to any file
01Mitchell USAPerformanceSkincare · Marketplaces + MetaIndia90 lacs · Revenue in 8 months02ArmafPerformanceFragrance · D2C, Content, SocialMiddle East → Global79% · Increase in new customers03BeardoPerformanceMen's grooming · Meta-first acquisitionIndia3.58 lacs · New customers added in 11 months04Dream BeautyLaunchBeauty · Pharma-backed launchIndiaSlide & narrative creation · Communication delivery · Brand positioning05SonrisaFull-stackK-Beauty · End-to-end digitalKorea → IndiaBrand positioning · Social media · Marketplaces06BirraFull-stackFragrance · D2C + ContentMiddle EastD2C · Content · End-to-end digital
The state we walked into

Mitchell USA arrived with ROAS parked under 1 — unprofitable acquisition in a skincare category where even a 1.5 is hard-won. Discount-led traffic was propping up volume and quietly eating the P&L.

Results
90 lacsRevenue in 8 months
110%ROAS lift in 6 months
3×Growth journey, end to end
2+ROI on Amazon, Flipkart & Meta — individually
₹60L+Annual spend under management
Strategies implemented
  1. 01

    ROAS turnaround from <1 to 2×

    The brand moved from loss-making acquisition to roughly 2× ROAS while staying inside one of the most contested skincare markets in India.

  2. 02

    Influencer selection wired to search demand

    Creators were picked against what people actually search for, so social interest compounded into monthly search volume and marketplace pull rather than a one-week spike.

  3. 03

    Amazon scaled as the demand engine

    Listings, sponsored placements and ranking velocity were built out so the marketplace absorbed the demand the top of funnel created.

  4. 04

    Channel-level profitability, never blended

    Amazon, Flipkart and Meta each had to clear 2+ ROI on their own. No channel was allowed to hide behind a blended average.

  5. 05

    Improved order quality

    Cutting discount-chasing traffic lifted buyer intent, reduced returns pressure and took operational strain off the team.

The state we walked into

Armaf needed to scale new-customer acquisition on Shopify without leaning harder on discounts or surrendering profitability — while holding efficiency steady across Meta.

Results
79%Increase in new customers
+2.2×ROAS lift in 6 months
Strategies implemented
  1. 01

    Systematic scaling framework

    Budgets moved through a structured testing → validation → expansion process, so reach grew without efficiency slipping.

  2. 02

    Creative-led audience expansion

    Instead of static audience targeting, acquisition was driven by diverse creative angles that let the platform find high-intent buyers on its own.

  3. 03

    Rotation of new & under-exposed SKUs

    Newer and quieter SKUs were pushed into top-of-funnel to unlock fresh demand and surface products with real first-time-buyer appeal.

  4. 04

    Controlled experimentation

    Every change was tested in an isolated environment before rollout — learning without destabilising live performance.

The state we walked into

Beardo needed new customers at high volume and held consistent across a long operating window — no short-term spikes that destabilise the account the month after.

Results
3.58 lacsNew customers added in 11 months
3,58,419Exact new customer records
Strategies implemented
  1. 01

    High-volume acquisition framework

    Growth was structured for sustained first-time-customer inflow rather than bursts that have to be paid back later.

  2. 02

    Creative diversification at scale

    Formats, hooks and narratives were tested continuously so acquisition momentum survived eleven straight months.

  3. 03

    Persona-based audience expansion

    New customer growth came from widening across buyer personas, which kept scale climbing without audience saturation.

  4. 04

    Meta-first new customer acquisition

    Meta ran as the core discovery platform — optimised for genuinely new buyers, not retargeting volume dressed up as growth.

The state we walked into

A pharmaceutical company stepping into beauty. Clinical credibility was already there; a consumer brand language was not. The story, the deck, the positioning and the launch itself all had to be built from zero.

Delivered
  • Slide & narrative creation
  • Communication delivery
  • Brand positioning
  • Full brand launch
Strategies implemented
  1. 01

    Narrative built before the identity

    The launch deck and communication came first — the argument for why a pharma house earns the right to a beauty shelf, written before anything was designed.

  2. 02

    Positioning translated from clinical to consumer

    Pharma rigour was converted into claims and language a beauty buyer actually responds to, without losing the credibility that made it different.

  3. 03

    Communication delivered, not just written

    Messaging was carried through every launch surface so the brand said one thing consistently on day one.

  4. 04

    A proper launch, run end to end

    Epigroww owned the launch programme itself — sequence, assets and execution — rather than handing over a strategy document.

The state we walked into

Korean formulation, made in Korea, engineered for Indian skin. Sonrisa needed one partner to define what the brand stands for — and then actually run every channel it lives on.

Delivered
  • Brand positioning
  • Social media
  • Marketplaces
  • D2C
  • Digital strategy
  • Implementation
Strategies implemented
  1. 01

    Positioning defined first

    Made-in-Korea formulation for Indian skin is a specific promise. It was written down and locked before a single channel was switched on.

  2. 02

    Social built as the discovery layer

    Social carries the education a K-beauty entrant needs in India — ingredients, routine and proof — rather than being treated as a posting calendar.

  3. 03

    Marketplaces run as a revenue channel

    Listings, content and search visibility were operated properly instead of being left as a passive catalogue upload.

  4. 04

    D2C as the brand-owned surface

    The direct storefront holds the full story and the margin, with marketplaces feeding discovery into it.

The state we walked into

A Middle Eastern fragrance house consolidating its entire digital presence with one partner — the D2C storefront and the content engine that has to keep feeding it.

Delivered
  • D2C
  • Content
  • End-to-end digital
Strategies implemented
  1. 01

    D2C owned end to end

    Storefront, merchandising and the buying journey are run as one system rather than split across vendors who never see the same dashboard.

  2. 02

    Content as the demand engine

    Fragrance sells on world-building. Content is produced against that, at the cadence performance actually needs.

  3. 03

    One partner, one accountability line

    End-to-end digital by Epigroww — no gaps between the people making the work and the people answering for the numbers.

— The operating discipline

Fourrulesbehindeverynumberabove.

The brands are different. The category, the market and the budget are different. What repeats is how the accounts are actually run.

  1. 01

    Controlled experimentation

    Every change is tested in an isolated environment before it goes live everywhere. We learn without destabilising an account that is already working.

  2. 02

    Creative-led audience expansion

    Creative angles do the targeting. Give the platform enough range and it finds high-intent buyers faster than a hand-built audience ever will.

  3. 03

    Persona-based expansion

    Scale comes from widening across real buyer personas, not from over-constraining one audience until it saturates and CAC climbs.

  4. 04

    Velocity-controlled scaling

    When higher spend starts inflating CAC, we deliberately slow the pace. Efficiency is protected first; volume follows it.

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