Ecommerce marketing agency in Dubai

Most online stores in the UAE optimise to platform ROAS and never see the whole picture. Blended ROAS looks healthy because remarketing and branded search harvest demand that would have converted anyway, while prospecting quietly loses money on every new customer. The product feed — the single biggest lever in ecommerce — is left on defaults, so Shopping and Performance Max bid the same on a 60%-margin hero product and an 8%-margin loss-leader. Add cash-on-delivery orders that get returned, and the ROAS in the ad platform stops matching the money in the bank. The result is spend that scales, a dashboard that looks fine, and margin that goes backwards.

1. 01

   1. Audit the feed, the tracking and the account economics

   Before touching budgets we map the product feed, campaign structure, prospecting-versus-remarketing split, conversion setup and — critically — the unit economics: margin by product, AOV, return rate and blended versus new-customer CAC. Findings ship as a numbered list with the expected lift behind each fix, so you can see what is capped by tracking, what is capped by the feed, and what is capped by structure.

2. 02

   2. Rebuild ecommerce tracking and margin signals first

   We fix the purchase event, pass real order value, and stand up GA4 with server-side tracking where the stack supports it (Shopify and most modern platforms do). Where GCC sales close over WhatsApp or arrive as cash-on-delivery, we feed offline and confirmed-revenue events back so smart bidding optimises to money you keep, not orders you might refund.

3. 03

   3. Rebuild Shopping, Performance Max and Meta catalogue structure

   Shopping and Performance Max split by margin tier so budget follows profit, with the product feed optimised — titles, types, custom labels, exclusions — as the primary lever. Meta runs Advantage+ shopping and catalogue ads with a clean prospecting-versus-remarketing separation, so you can read true new-customer acquisition instead of a ROAS inflated by warm audiences.

4. 04

   4. Scale to contribution margin, not platform ROAS

   We set targets from your real economics — a MER and new-customer CAC that protect contribution margin at the AOV you actually sell at — then run a weekly cadence on search terms, asset groups, audiences and feed health, and a monthly review against revenue, margin and LTV. Budget moves toward what is profitable to acquire, not what merely reports a high number.

• Google Shopping + Performance Max management
• Meta catalogue and Advantage+ shopping campaigns
• Product feed optimisation and diagnostics
• Ecommerce conversion tracking (GA4 + server-side where supported)
• New-customer CAC, MER and contribution-margin reporting
• Landing-page, PDP and checkout CRO program

Structure follows margin and intent. In Google we split Shopping and Performance Max by margin tier and use the feed — not just bids — to steer spend toward products worth selling, with branded and high-intent search kept honest so it never masks weak prospecting. In Meta we separate cold prospecting from remarketing so new-customer CAC is legible, then let Advantage+ and catalogue ads scale what works. Across both, the blended target is set from your contribution margin and AOV, and remarketing is treated as a layer that harvests demand — never the number we scale the business on. This is the whole of what we do: PaidAds is focused by design and does not sell SEO retainers, organic social media management, branding packages, web design, generic content calendars, influencer marketing, PR or email-marketing retainers.

• Many GCC ecommerce sales run through WhatsApp or cash-on-delivery, so offline and confirmed-revenue events matter more than the platform's default purchase count.
• For consumer retail, Arabic-plus-English product ads and PDPs usually convert better than English-only, so we localise feed titles and creative rather than run one language.
• COD returns and cancellations quietly distort platform ROAS — scaling to contribution margin instead of reported revenue is one of the biggest levers regionally.
• Most regional stores under-use server-side tracking and offline conversion feedback, leaving smart bidding to optimise on an incomplete signal.