The Challenge
Alsaif Gallery operates one of Saudi Arabia’s largest retail networks — hundreds of stores across the Kingdom, a growing e-commerce platform, and a loyal customer base transacting across WhatsApp, Mada, and their owned digital properties. But their analytics infrastructure had not kept pace with their ambition.
Marketing data sat fragmented across four disconnected systems: a legacy GA Universal property approaching end-of-life, a standalone performance media dashboard, an ERP-side BI tool, and a manual monthly report that nobody fully trusted. Attribution was effectively impossible. The team was making six-figure media decisions on gut instinct.
There were also compliance pressures. Saudi Arabia’s Personal Data Protection Law (PDPL) had introduced strict requirements around consent, data residency, and user tracking — requirements that the existing client-side tag architecture could not meet.
The brief to Emerge Digital was clear: build an analytics foundation we can trust, make it PDPL-compliant from day one, and ensure it integrates with our commerce platform without slowing it down.
Our Approach
We opened with a four-week Crawl phase — a structured analytics audit that mapped every data touchpoint across the customer journey: paid search, social, on-site behaviour, checkout, in-store scan, and post-purchase. We assessed PDPL compliance gaps, documented the tag sprawl across the existing GTM container, and sized the revenue impact of the attribution blind spots.
The audit surfaced a critical finding: approximately 38% of converting sessions were unattributed, most of them originating from WhatsApp referrals — a dominant but unmeasured channel for Saudi shoppers. That single insight justified the rebuild.
The Walk phase ran for ten weeks across four workstreams:
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GA4 migration and BigQuery integration — A clean-sheet GA4 property configured for Arabic-first e-commerce, with enhanced e-commerce events, cross-domain tracking across the loyalty sub-domain, and a live BigQuery export for warehouse-level analysis.
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Server-side GTM migration — We moved the entire tag architecture to a server-side container hosted in a KSA-resident cloud environment. This eliminated third-party cookie dependency, reduced page-load impact from tracking scripts by 340ms, and created a clean PDPL-compliant data pipeline.
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Consent management platform — An Arabic/English bilingual consent layer, designed to PDPL specifications, with preference storage, audit logging, and downstream signal suppression for opted-out users.
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Attribution modelling — A data-driven attribution model built in BigQuery, incorporating paid media spend from Google, Meta, and Snapchat, organic search, and WhatsApp referrals (via UTM-tagged link shorteners). Modelled weekly, surfaced in Looker Studio dashboards the commercial team could action without analyst support.
The Outcomes
Within eight months of go-live, the results were clear:
- +54% increase in attributable digital revenue — not by generating new revenue, but by measuring revenue that was already there. The WhatsApp channel alone accounted for 22% of total digital conversion once properly tracked.
- 340ms reduction in page load time from tag consolidation and server-side migration — a direct Lighthouse Core Web Vitals improvement.
- Full PDPL compliance across all tracking, consent, and data-residency requirements — confirmed by a third-party compliance review.
- 4.2× improvement in media attribution accuracy, enabling the team to reallocate budget from underperforming paid channels to WhatsApp-driven retargeting sequences.
- Zero disruption to trading — the entire migration was executed in parallel with the existing stack, with a clean cutover timed to a low-traffic window.
The Alsaif Gallery marketing team now runs weekly attribution reviews against a single dashboard. Media budget decisions are made on data, not instinct.
“Emerge Digital understood our market — the WhatsApp-first customer behaviour, the Mada payment patterns, the PDPL requirements — in a way that our previous analytics partners never had. The rebuild paid for itself in the first quarter.”
— Head of E-commerce, Alsaif Gallery