Diya Diya — Scaling a Premium Fashion Brand to the US
Diya Diya

Scaling a Premium Fashion Brand to the US

An eight-month growth engagement taking Diya Diya, a premium fashion label from India, to US buyers. $48.3K of ad spend was followed by $387.7K in revenue: an 8× blended return across paid, organic and creator channels.

Client
Diya Diya
Industry
Premium fashion
Operating from
India
Target market
United States
Price point
$200–$255
Categories
Corsets, denim, vests, streetwear
Engagement
8 months, ongoing
Website
diyadiya.studio
Scope
Meta Ads, Creators & UGC, Conversion optimisation, Premium fashion
Blended return on ad spend
8×
Revenue generated
$387.7K
Total ad spend
$48.3K
India → United States
8 months

Revenue is blended across paid, organic and creator-driven sales over the eight-month engagement.

In short

A premium product with a store, a market and a budget that weren't yet ready to convert US buyers. We built the foundation first, created demand through creators and organic content, validated with paid media, and only then scaled spend.

“We don't pay to send traffic to a business that isn't ready to convert. We build the foundation first, then accelerate it with paid media.”

pSkyro Labs

Where the brand started

  1. Website

    The experience wasn't built for a premium US audience: landing pages weren't optimised for conversion, and trust signals and product storytelling were weak.

  2. Brand presence

    Limited social presence and awareness, inconsistent messaging and little organic reach in the US.

  3. Creative

    No UGC library, no proven ad creative, no creator ecosystem and no structured content strategy.

  4. Infrastructure

    Limited Meta pixel learning, no validated audiences, a small budget with no scalable account structure, and no collaboration or influencer strategy.

How the eight months ran

  1. Months 1–2 · Foundation

    Customer journey rebuilt, landing pages optimised and trust elements strengthened. Premium, US-focused social presence and a consistent visual identity. First organic content and UGC library, a creator roadmap, and Meta pixel, events and GA4 verified. Monthly ad spend: $300–$400.

  2. Months 3–4 · Paid validation

    CPCs were too high and CTR was below target, so we paused five campaigns rather than spend inefficiently, restructured the account, rebuilt creative and shifted budget toward organic demand. The KPI in this phase was learning, not revenue: CTR, hook rate, video views, add-to-carts and landing-page views.

  3. The turning point · Creative and creators

    Editorial ramp-walk creative set the brand apart from standard product photography. We partnered with fashion models and creators matched to the ideal customer, and gifted product to small and mid-sized creators for authentic content instead of paying for sponsorships. The ramp-walk assets became the top-performing ads.

  4. Months 4–6 · Optimisation

    Hooks, formats and edits ranked on hook rate and hold rate; validated US segments consolidated into scalable structures; converting creators re-engaged for repeat drops; spend moved weekly to the assets and audiences carrying return; conversion fixes on product pages, checkout and mobile. ROAS stabilised.

  5. Months 7–8 · Scaling

    Higher budgets, more creative and a wider creator roster scaled spend and revenue together.

Challenges and how we solved them

ChallengeResponse
No brand awareness in the USCollaborations with creators and models matched to the ideal customer
No trust at a $200+ price pointA UGC library, stronger site trust signals and social proof
Unsustainable CPCs on early campaignsPaused spend, rebuilt creative and grew demand organically first
Creative fatigue at higher spendNew hooks and a continuous editorial content pipeline
Positioning built for the wrong marketMessaging rewritten for a US premium audience

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