A nutrition brand doubles Meta Ads ROAS to 3.2x.

The challenge

A Gurgaon D2C nutrition supplements brand was running Meta Ads to its Shopify homepage and converting at 1.1%. Warm ad traffic arrived primed to buy a specific product, then landed on a generic page that asked it to start the search over.

The mismatch was costing the whole channel. ROAS sat at 1.4x, barely above break-even, because the ad promised one product and the homepage offered a catalogue. The message never carried through to the landing experience.

The approach

Webzenia built 8 product-specific landing pages, one per warm ad audience the brand was already targeting. Each page continued the exact promise of the ad that sent the visitor, so the message held from click to checkout.

The pages were designed in Figma around a single product and a single decision, with social proof, ingredients, and a clear buy action above the fold. There was no catalogue to wander into.

Checkout stayed on Shopify with Razorpay for UPI and cards, keeping the path from ad to paid order short. Every page was built to load fast on the mobile devices most Gurgaon Meta traffic comes from.

GA4 and Hotjar tracked each landing page against the homepage baseline, and Meta's reporting tied spend back to revenue so ROAS was measured per page, not in aggregate.

The results

Meta Ads ROAS moved from 1.4x to 3.2x in 6 weeks, on unchanged spend and targeting. Pointing warm traffic at pages that matched the ad more than doubled the return.

The best landing page converted at 3.8%, up from the 1.1% homepage rate. Revenue per visitor rose 2.6x as the message held from click to checkout.

The gain came from closing the gap between the ad and the page. That is structural, which is why the lift stayed once the eight pages were live.

The stack behind it

• ShShopifyCommerce
• MeMetaAds
• FiFigmaDesign
• GAGA4Analytics
• HoHotjarAnalytics
• RaRazorpayCommerce