Before an Agentforce agent earns its keep, the CX and data foundation has to be real. These are enterprise CX, data, and martech engagements delivered by our team — some under partner or agency banners — the same people now standing up Agentforce for the Gulf. Every engagement is shown by sector rather than by client name; two are additionally under NDA. Every metric is as reported.
New scope from July 2026: we now advise on Agent Commerce readiness on Cloudflare — see the Agent Commerce capability for context; case studies for it will appear here as pilots complete.
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.
WhatsApp revenue made measurable
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 — making WhatsApp-driven revenue, previously a major but invisible source of conversions, measurable for the first time.
+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Revamp an outdated eCommerce system and unify fragmented websites.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.
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.
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.
Cross-vertical adoption unlocked
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 the verticals — so single-vertical users now adopt a second vertical off real-time cross-sell triggers.
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.
−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.
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.
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.
Engagements delivered by our team, some under partner or agency banners. Every engagement is published anonymously, identified by sector rather than by client name; two are additionally under NDA. Figures are as reported by the client or programme and reflect the outcomes of CX, data, and martech work — not Agentforce deployments.
Every result above rests on the same things an Agentforce agent depends on: unified data, clean attribution, and journeys that actually fire. That is why the practice leads CX-first — we build the foundation, then land the agent on something real and measure it as Return on AI Investment.
Bring your CX context. We'll map where an agent earns its keep, what a Discovery assessment would scope, and how we'd measure ROAI from day one.