Aviation
·
Experience platform
National airline (under NDA)
24M visitors · 2.5× revenue
Objective
Unify experience delivery and modernise an obsolete UI/UX.
Impact
Grew customer acquisition to 24 million visitors and revenue by 2.5 times through a centralised, optimised experience platform.
Visitors 24M
Revenue 2.5×
Retail · KSA
·
Analytics & data governance
Alsaif Gallery
+54% attributable digital revenue
Objective
Rebuild a trustworthy, PDPL-compliant analytics foundation across digital and in-store.
Impact
Delivered a GA4 + BigQuery rebuild on server-side tracking with data-driven attribution — surfacing +54% in attributable digital revenue within eight months of go-live.
Attributable revenue +54%
Time to value 8 months
Consumer electronics · US
·
Commerce replatform
Canon USA
+166% revenue
Objective
Revamp an outdated eCommerce system and unify fragmented websites.
Impact
Achieved a 166% revenue increase and migrated 3,000 content pages and 3.5 million users to a modern Adobe stack.
Revenue +166%
Pages 3,000
Users migrated 3.5M
Real estate
·
Data & lead intelligence
Real estate platform (under NDA)
Telesales fill rate 7% → 44%
Objective
Centralise disparate data sources and apply AI-driven automation to improve marketing efficiency and lead qualification.
Impact
Built a modular BigQuery data warehouse with predictive lead scoring, so the sales team could focus on high-conversion prospects.
Telesales fill rate 44% (from 7%)
Warehouse BigQuery
PropTech & classifieds · UAE
·
ML & segmentation
Bayut & Dubizzle
35% welcome-journey CVR
Objective
Drive ad listings and high-quality lead generation through full-funnel personalization and lifecycle automation.
Impact
Used internal ML engines and dynamic segmentation to launch automated property and car recommendations across multiple locales and languages.
Welcome-journey CVR 35%
Coverage Multi-locale
Super-app · MEA
·
MarTech & customer data
Careem
+41% cross-vertical retention
Objective
Unify customer identity across super-app verticals (Rides, Food, Grocery, Pay) to make cross-product personalisation possible.
Impact
Built an identity graph and CDP that unified profiles across five verticals — improving cross-vertical customer retention by 41% within six months of go-live.
Cross-vertical retention +41%
Verticals unified 5
Luxury beauty · Global
·
Privacy & consent
LVMH — Kendo
One source of truth, legal risk cleared
Objective
Resolve data inconsistencies and ensure global privacy compliance.
Impact
Eliminated legal risk within months and established a single source of truth across all brand sites and regions through standardised tracking and consent management.
Scope All brand sites & regions
Focus Consent & tracking
FMCG · MEA
·
Data & tag governance
Perfetti van Melle
−34% media cost-per-acquisition
Objective
Establish PDPL-compliant analytics governance across MEA markets without disrupting live campaigns.
Impact
Delivered server-side governance and a normalised GA4 schema across six MEA markets — achieving PDPL compliance and a 34% reduction in media cost-per-acquisition.
Media CPA −34%
MEA markets 6
Retail & distribution
·
Campaign ops & journeys
GMG
16% Welcome Journey CVR
Objective
Improve campaign management efficiency and conversion rate through a comprehensive audit and managed services.
Impact
Identified critical event-tracking gaps and implemented a personalised Welcome and Cart-Abandonment roadmap, driving immediate first-time purchases.
Delivered via Audit + managed services
Journeys Welcome · Cart recovery
Mobility · UAE
·
CDP & lifecycle
Udrive
86% new registrations
Objective
Enhance customer journeys and campaign execution efficiency to accelerate new user registrations.
Impact
Eliminated data silos to create unified customer profiles, enabling real-time personalised notifications at critical checkpoints to reduce fleet idle time.
Profiles Unified (silos removed)
Signals Real-time checkpoints
Engagements delivered by the FPT CX Services / Emerge Digital delivery bench. Client names published with
permission; two clients shown by sector under NDA. Figures are as reported by the client or programme and
reflect the outcomes of CX, data, and martech work — not Agentforce deployments.