Royal Air Maroc
Strategy — Four Whys
Royal Air Maroc — Four Whys Strategy
Last Updated: 2026-05-13
Urgency: CRITICAL — FIFA World Cup 2030 host (10x peak booking capacity target) + confirmed GA4/VWO stack with no revenue quantification layer + 40% below European conversion average + two ESTABLISHING digital leaders (Bellaha + Driouiche) with open vendor windows
Status: CMO Approved
Why 1: Why Do Anything?
Business Imperative: CLOSE A 40% CONVERSION GAP AND BUILD 10X BOOKING CAPACITY BEFORE FIFA WORLD CUP 2030 — WITH A CONFIRMED ANALYTICS STACK THAT CANNOT DIAGNOSE WHY BOOKINGS FAIL
Royal Air Maroc is Morocco's national carrier and oneworld member with record ~$2.2B revenue, 1M monthly visitors, and a platform built on Liferay CMS with Amadeus Reference Experience as the booking engine. The confirmed tech stack includes GA4, VWO, Segment CDP — but no session-level experience analytics that can diagnose booking abandonment or quantify friction in revenue terms.
RAM sits 40% below the European airline average for online booking conversion while preparing to handle 10x peak volumes for FIFA World Cup 2030. Morocco is a co-host nation. This is the most consequential digital readiness challenge in the airline's history.
Pain Dimensions:
40% Conversion Gap = Multi-Million Revenue Leakage: RAM's online booking conversion is 40% below European airline average. At record $2.2B revenue and 1M monthly visitors, this conversion gap represents tens of millions in annual lost booking revenue. GA4 shows WHERE users drop off (page-level). QM shows WHY — session replay of the actual Amadeus booking funnel failure, quantified in revenue impact.
VWO Without Revenue Attribution: RAM runs A/B tests with VWO but cannot attribute test variants to booking revenue. They know variant B had 3% more clicks — they don't know if variant B generated $200K more in bookings or $50K less. Every experiment is half-measured.
FIFA 2030 = 10x Peak Load With No Experience Monitoring: The FIFA World Cup 2030 digital readiness programme targets 10x peak booking capacity. Peak load without experience analytics means: "We can handle the traffic, but we don't know if the traffic converts." Capacity without conversion monitoring is infrastructure without outcomes.
10 New Routes Including Casablanca-LAX Nonstop: Route expansion drives new international audiences to RAM's digital booking flow. Each new route creates localised booking journeys. Without session-level analytics, conversion performance on new routes is invisible.
Two ESTABLISHING Leaders With Open Vendor Windows: Myriam Bellaha (Head of Digital Strategy, April 2026 — 5 weeks in role) and Mohamed El Mehdi Driouiche (VP CX, November 2025) are both in the ESTABLISHING phase. Their roadmaps are being built now. Once they lock in their analytics stack decisions, the vendor window closes.
Quantified Cost of Inaction: A 40% conversion gap on $2.2B revenue is conservatively $50-100M in recoverable annual revenue (depending on digital booking share). Even closing 10% of the gap = $5-10M/year. FIFA 2030 failure to handle peak conversion would be nationally visible.
Why 2: Why Now?
Compelling Events (stacked — 7 simultaneous triggers):
FIFA World Cup 2030 — hard deadline, national mandate: Morocco co-hosting creates an immovable deadline. Digital readiness must be proven before 2030. Infrastructure and analytics decisions are being made NOW. QM must be in the stack before architecture locks.
40% below European conversion average — known and quantified gap: The gap is measured. What's missing is the diagnostic capability to close it. QM is the diagnostic layer.
Confirmed stack gap: GA4 + VWO without revenue quantification: GA4 cannot diagnose booking abandonment at session level. VWO runs experiments without revenue attribution. QM closes both gaps simultaneously — no displacement required.
Myriam Bellaha — 5 weeks in role as Head of Digital Strategy: ESTABLISHING tenure = actively building her analytics and optimisation roadmap. Prime vendor evaluation window. This window closes within 3-6 months as her roadmap solidifies.
Amadeus Reference Experience deployed: The booking engine infrastructure is confirmed. QM is the experience analytics layer ON TOP of Amadeus — shows WHY conversions fail within the Amadeus flow.
Record $2.2B revenue — investment capacity confirmed: Growing revenue with hub expansion provides both the budget and the strategic mandate.
10 new routes for 2026 including Casablanca-LAX: New routes to new markets need conversion measurement from day one.
Cost of Delay: Bellaha's vendor evaluation window is open NOW — 5 weeks into role. Her decisions will lock within months. Once the analytics roadmap is set, re-evaluation is 12-18 months away. Every month of the 40% conversion gap = millions in lost booking revenue.
Why 3: Why Us (Quantum Metric)?
Capability-to-Need Mapping:
| RAM Need | QM Capability | Value |
|---|---|---|
| Diagnose 40% conversion gap | Session replay + revenue quantification | See exactly WHY Amadeus booking flows fail and what each failure costs in $ |
| Measure VWO experiments by revenue | Revenue quantification on A/B test variants | "Variant B drove $340K more in bookings — deploy it" |
| FIFA 2030 peak load monitoring | Real-time experience monitoring at scale | During 10x peak load: "Booking completion is normal" or "Payment step failing for 12% of sessions = $X/hour lost" |
| Deploy on Amadeus + Liferay stack | Tag-based deployment, complementary to existing stack | No displacement of GA4, VWO, or Segment — additive layer |
| AI-powered investigation | Felix AI | Autonomous investigation of why conversion is 40% below European average |
| Close the GA4 gap | Session-level analytics with revenue attribution | GA4 shows page-level drop-off. QM shows session-level WHY + HOW MUCH |
Proof Points:
| Proof Point | Relevance | Metric |
|---|---|---|
| Aer Lingus | European airline, ancillary checkout optimisation on booking engine | Direct revenue recovery |
| Lululemon | Enterprise retail, rapid deployment, high-AOV checkout optimisation | Multi-tens of millions recovered |
| Six Flags | Payment friction during peak volumes — FIFA 2030 parallel | Prevented $4.8M annual loss |
Competitive Position: GA4 is the incumbent analytics layer — QM does not displace it, QM complements it. Contentsquare is the likely competitive threat. QM differentiator: patented revenue quantification + Felix AI autonomous investigation + Amadeus booking engine depth.
Why 4: Why This Engagement Model?
Recommended Approach: Digital strategy leader engagement via FIFA 2030 + conversion gap framing.
Entry Point: Myriam Bellaha (Head of Digital Strategy) — PRIMARY. She is 5 weeks into role, building her roadmap, and owns the analytics/optimisation stack decision. Frame: "You're running VWO experiments but can't measure their revenue impact. You're 40% below European conversion benchmarks. FIFA 2030 brings 10x your peak load. QM gives you the revenue layer on top of your existing GA4 + VWO + Amadeus stack."
Secondary: Mohamed El Mehdi Driouiche (VP CX) — customer journey and end-to-end experience perspective.
Value Demonstration: Rapid proof-of-value quantifying the top 5 friction points in the current Amadeus booking funnel — converting the known 40% gap into specific, fixable, revenue-quantified issues within days.
Anchor Reference: Aer Lingus — European airline, direct Amadeus booking engine parallel.
Deal Structure: Enterprise SaaS, annual contract. Pilot on the Amadeus booking funnel, expand to FIFA 2030 readiness monitoring.
Outreach
Royal Air Maroc — Myriam Bellaha (Head of Digital Strategy)
7-Touch Email Sequence + LinkedIn Connection
Date: 2026-05-15
Priority Rank: 1 of 7 (aviation brands)
Signal Stack: L2 (40% below European airline conversion average on $2.2B revenue) + L2 (GA4 + VWO confirmed — no revenue quantification layer) + L2 (FIFA World Cup 2030 co-host — 10x peak booking capacity target) + L2 (5 weeks into role — vendor evaluation window open) + L2 (Amadeus Reference Experience booking engine deployed) + L2 (10 new routes including Casablanca-LAX nonstop)
Entry Strategy: Cold LinkedIn + email — FIFA 2030 urgency + conversion gap + stack gap creates a time-bound opening
Proof Point: Aer Lingus (European airline, Amadeus booking engine parallel, direct revenue recovery), Six Flags ($4.8M annual loss prevented — peak volume parallel)
Warm Route: None confirmed. Amadeus partnership route and oneworld alliance connections being explored separately.
LinkedIn Connection Request
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2026-04-01 Head of Digital Strategy appointment, 2025-09-01 FIFA 2030 digital readiness programme]
signal_levels: [L2, L2]
touch_number: 0
channel: linkedin
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Head of Digital Strategy — owns analytics/optimisation stack decisions, Ring 2: FIFA 2030 co-host preparing 10x peak booking capacity]
Myriam — leading digital strategy for Morocco's national carrier as the country prepares to co-host the FIFA World Cup is one of the most consequential digital mandates in aviation right now. Would be great to connect.
LinkedIn Follow-Up 1
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2026-01-01 40% below European conversion average, 2025-06-01 Amadeus Reference Experience deployment]
signal_levels: [L2, L2]
touch_number: 0.1
channel: linkedin
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: 40% conversion gap on Amadeus booking engine, Ring 4: GA4 shows WHERE drop-off happens but not WHY]
Myriam — thanks for connecting. One pattern from airlines running Amadeus Reference Experience: GA4 shows which page in the booking funnel loses visitors. What it can't show is WHY individual sessions abandon — whether it's fare comparison confusion, seat selection friction, or payment failures. The gap between page-level analytics and session-level diagnosis is where conversion recovery lives. If the Amadeus funnel conversion rate is something you're focused on, happy to share what European airlines are finding at that layer.
LinkedIn Follow-Up 2
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2025-09-01 FIFA 2030 10x peak capacity target]
signal_levels: [L2]
touch_number: 0.2
channel: linkedin
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: FIFA 2030 peak load readiness, Ring 4: capacity without conversion monitoring]
Myriam — one more thought on the FIFA 2030 readiness programme. 10x peak booking capacity is an infrastructure challenge. But infrastructure without experience monitoring means: "We can handle the traffic, but we don't know if it converts." During peak load — 50,000 simultaneous booking sessions — a payment step failing for 5% of users is invisible to GA4 but costs tens of thousands per hour. The monitoring layer that sees conversion health in real-time is the gap I'd flag for any airline scaling for a mega-event. Happy to share the pattern if useful.
Touch 1 — Email (GIVE only, <100 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2026-01-01 40% below European conversion average, 2025-08-01 record $2.2B revenue]
signal_levels: [L2, L2]
touch_number: 1
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Head of Digital Strategy — owns the conversion gap, Ring 2: 40% below European average on $2.2B revenue = tens of millions recoverable]
Subject: 40% conversion gap on $2.2B revenue
Myriam,
Royal Air Maroc sits 40% below the European airline average for online booking conversion. At record $2.2B revenue and 1M monthly visitors, this gap represents tens of millions in annual booking revenue that visitors intended to spend but didn't complete.
GA4 shows which pages lose visitors. It cannot show WHY individual booking sessions fail — whether it's fare comparison confusion in the Amadeus flow, ancillary upsell friction, or payment timeouts on specific routes. The cost of each failure is invisible because it's never quantified at session level.
The gap is measured. What's missing is the diagnostic capability to close it.
Touch 2 — Email (GIVE only, different angle, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2026-05-01 GA4 + VWO confirmed stack, 2025-06-01 Amadeus Reference Experience]
signal_levels: [L2, L2]
touch_number: 2
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: VWO running experiments without revenue attribution, Ring 4: half-measured experiments]
Subject: Re: 40% conversion gap on $2.2B revenue
Myriam,
Different angle — RAM runs A/B tests with VWO on the booking flow. But VWO cannot attribute test variants to booking revenue. You know variant B had 3% more clicks. You don't know if variant B generated $200K more in completed bookings or $50K less.
Every experiment on the Amadeus funnel is half-measured. The missing layer is session-level revenue quantification — connecting what happened in each booking session to whether it converted and how much it was worth.
Touch 3 — Email (GIVE + soft question, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2025-12-01 10 new routes including Casablanca-LAX nonstop]
signal_levels: [L2]
touch_number: 3
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: 10 new routes to new international markets, Ring 4: invisible conversion performance on new routes]
Subject: New routes, invisible conversion
Myriam,
RAM launched 10 new routes for 2026 including Casablanca-LAX nonstop. Each new route brings new international audiences to the Amadeus booking flow — travellers unfamiliar with RAM's digital experience, booking in different languages, with different payment preferences.
Conversion performance on new routes is invisible without session-level analytics. A route that looks underperforming by revenue might have strong demand but a broken payment path for US credit cards.
Is route-level booking conversion something the digital strategy team measures today?
Touch 4 — Email (GIVE + proof point, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2025-06-01 Amadeus Reference Experience, 2026-01-01 40% conversion gap]
signal_levels: [L2, L2]
touch_number: 4
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Amadeus booking engine parallel with Aer Lingus, Ring 3: Aer Lingus proof point]
Subject: What Aer Lingus found in their booking engine
Myriam,
Aer Lingus — European airline, oneworld-adjacent, running a similar Amadeus-based booking engine — deployed session-level revenue quantification on their checkout and ancillary flows. They identified specific friction points in the booking funnel that were invisible to their existing analytics and recovered direct booking revenue.
RAM has the same architecture: Amadeus booking engine, GA4 analytics, VWO experimentation. The same diagnostic gap exists. The same recovery opportunity is there.
Happy to share more detail on what they found if useful.
Touch 5 — Email (soft meeting ask, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2025-09-01 FIFA 2030 10x peak capacity, 2026-01-01 40% conversion gap]
signal_levels: [L2, L2]
touch_number: 5
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Head of Digital Strategy — vendor evaluation window open, Ring 2: FIFA 2030 + conversion gap dual urgency]
Subject: 20 minutes on FIFA 2030 booking readiness
Myriam,
Two converging challenges: a 40% conversion gap that costs tens of millions annually, and a FIFA 2030 deadline that will bring 10x peak booking load to the same funnel.
Would 20 minutes be useful to compare notes on how European airlines are approaching real-time booking experience monitoring ahead of mega-events? I can share the Aer Lingus pattern and what it means for Amadeus-based booking flows specifically.
If the timing doesn't work, completely understand.
Touch 6 — Email (GIVE only, FIFA 2030 angle, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2025-09-01 FIFA 2030 10x peak capacity]
signal_levels: [L2]
touch_number: 6
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: FIFA 2030 peak load without experience monitoring, Ring 3: Six Flags peak volume parallel]
Subject: Peak load without conversion monitoring
Myriam,
FIFA 2030 will bring RAM's booking system to peak loads it has never seen. Infrastructure teams are building capacity. The missing piece: knowing whether that capacity converts.
Six Flags faced a parallel challenge — peak-volume payment friction during their busiest windows. Session-level monitoring identified $4.8M in annual losses from friction that was invisible to their existing analytics. They found and fixed it before the next peak season.
RAM's peak season is a World Cup. The stakes are nationally visible.
Touch 7 — Email (GIVE only, graceful close, <75 words)
contact: Myriam Bellaha
brand: Royal Air Maroc
signal_refs: [2026-01-01 40% conversion gap, 2025-09-01 FIFA 2030]
signal_levels: [L2, L2]
touch_number: 7
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Head of Digital Strategy]
Subject: Still relevant, Myriam?
Myriam,
Over the past weeks I've shared perspectives on RAM's 40% conversion gap, VWO experiment attribution, new route conversion visibility, the Aer Lingus booking engine parallel, and FIFA 2030 peak-load monitoring.
Is any of this on RAM's digital strategy roadmap right now, or is the timing off?
Either answer is genuinely helpful.