Funnel Optimization · Dubai · UAE · KSA
Find where your funnel leaks revenue. Fix it.
97 out of 100 paid visitors never convert. Not because the ad was wrong — because the funnel loses them across four or five stages, each with its own friction, its own unanswered objection, and its own untested fix. We map every stage, rank interventions by revenue impact, and test fixes in priority order. The same media spend. Significantly more revenue.
+82%
Median revenue-per-visitor lift from funnel optimization programmes
4
Average drop-off stages fixed per engagement cycle
97 in 100
Paid visitors the average funnel loses before conversion
02 / Why Funnels Leak
Three failure modes draining paid media revenue.
Funnel revenue loss is not a traffic quality problem. It is a journey architecture problem — compounding across every step from ad click to conversion. Most brands fix the visible step. The highest-leverage stage is usually invisible because it has no tracking, no hypothesis, and no test queue.
97%
Of paid visitors that never reach the conversion event across a 4-step funnel
60–80%
Of CRO test budget wasted when funnels lack step-level behavioral tracking
3.4×
More revenue per visitor when the highest-drop-off stage (not the landing page) is fixed first
Intent Decay Across Steps
The ad creates intent. The landing page either sustains it or starts losing it. The product page either advances it or lets it stall. The cart either capitalises on it or introduces friction that breaks it. Every step in the funnel is an opportunity for the intent created by media spend to decay — and most funnels have no deliberate strategy to sustain message momentum from step to step.
Brands measure landing page CVR and call it a traffic problem. They optimise their ads, raise their CPMs, and send more traffic into a funnel that loses 94 of every 100 visitors somewhere across four steps. The entry-point CVR improves marginally. The overall funnel revenue per visitor does not.
Step-Level Friction Stacking
No single funnel step kills conversion in isolation. The compounding effect does. Five steps each losing 30% of the remaining audience means 100 visitors become 17 conversions — not because any single step is catastrophically broken, but because the cumulative loss is never visualised as a system. Each team owns their step. Nobody owns the funnel.
Optimisation efforts target the most visible step — typically the landing page, because it is what the ad links to — while steps 3 and 4 are losing a higher percentage of an already-depleted audience. The highest-leverage intervention is often two pages deep, never analysed, and never tested because it is invisible without step-level tracking.
Tracking Blindness at Step Level
A funnel tracked only at entry and exit — clicks in, conversions out — produces one optimisation signal: the final conversion rate. Without step-level event tracking, the question 'where in the funnel are we losing revenue?' cannot be answered with data. Every intervention is a guess about which of four or five stages to fix first — and most guesses are wrong.
CRO programmes on under-tracked funnels spend 60–80% of their test budget on low-leverage interventions. The highest-drop-off stage continues to leak at its current rate because nobody knows it is the highest-drop-off stage. The programme runs for 90 days, produces marginal improvements, and is cancelled — not because CRO does not work, but because it was not given the tracking foundation it requires.
03 / The Funnel Optimization System
We run funnel optimization as a revenue recovery system, not a page-by-page test queue
Four stages from revenue leak audit to compounding improvement — each one producing the signal the next stage requires. The audit identifies which stage to fix first. Journey architecture determines what to change. Stage-level testing validates the fix against live traffic. Compounding optimisation ensures each improvement builds on the last.
Why priority ranking matters
A 20% CVR improvement at step 3 (product-to-cart) amplifies the impact of every improvement already made at step 1 (landing page). But fixing step 1 first when step 3 has an 80% drop-off is a misallocation of test budget. The revenue leak audit determines the intervention order — so every test is run at the stage where its impact on overall revenue per visitor is highest.
- 01
Funnel Mapping & Revenue Leak Audit
Every step from ad impression to final conversion event is mapped with its actual visitor count, drop-off rate, and revenue-per-visitor contribution. Heatmaps, session recordings, and step-level event data are layered to identify not just where the funnel loses visitors — but why they exit at each specific stage. Stages are ranked by revenue recovery potential, not by drop-off volume.
Output: Step-by-step funnel map with revenue-per-visitor at each stage and priority intervention ranking - 02
Journey Architecture
The offer framing, messaging hierarchy, and conversion ask at each step are restructured to sustain the intent created by the ad all the way to the conversion event. Each stage receives a brief: what the visitor believes when they arrive, what needs to be true for them to advance, and what the next step asks them to do. The journey is designed as a continuous narrative — not as a collection of independent pages.
Output: Per-stage conversion brief with message continuity map and CTA hierarchy - 03
Stage-Level A/B Testing
Each priority intervention is tested at the stage level — isolated tests with clean entry events and clean exit events, so the test variant cannot confound results from adjacent stages. Statistical power is calculated before each test launches. 95% confidence before any winner is declared. Each test targets the single variable with the highest evidence-weighted impact on that stage's conversion rate.
Output: Stage-level CVR delta with statistical significance — applied to compounding funnel model - 04
Compounding Funnel Optimisation
Improvements compound across stages. A 20% lift at step 2 improves the quality of the audience entering step 3 — which improves the probability of a lift at step 3. The funnel optimisation model tracks revenue per visitor across the full funnel, not just at individual steps, so each cycle's impact is measured against the cumulative outcome. Month 6 tests run on a funnel that is measurably more efficient than the one that started month 1.
Output: Compounding revenue-per-visitor improvement — measured across the full funnel, not stage-by-stage
Want to see how this applies to your funnel?
A senior strategist reviews your specific setup — complimentary, no pitch deck.
04 / Journey Architecture
A funnel is a narrative. Every step must advance the conversion decision.
Journey architecture is the discipline of designing what the visitor believes at each stage of the funnel — and what needs to be true for them to advance. It is not page design. It is conversion psychology applied to a multi-step sequence: offer sequencing calibrated to decision state, message continuity that sustains the ad's momentum, and proof redistribution to where hesitation actually peaks.
Offer sequencing
Each stage presents the next step — not the final conversion ask
A cold visitor landing on an ad for a SaaS product does not want to be asked for a credit card before they understand the value. A warm visitor who has watched the demo reel and read the pricing page is not well served by another awareness-stage explanation. Offer sequencing is the art of calibrating the conversion ask to the visitor's current belief state — and advancing that belief state deliberately from one step to the next.
Sequenced offer architecture: median +34% step-to-step progression rate vs. uniform offer pages.
Intent temperature matching
Cold, warm, and hot audiences need different journeys
TikTok cold traffic entering a four-step ecommerce funnel has a fundamentally different belief state than Google Search warm traffic entering the same funnel at step 3. A single funnel architecture cannot convert both efficiently. Traffic-source segmentation, combined with dynamic or separate funnel paths per audience temperature, aligns the conversion ask to what the visitor actually believes about the brand at the moment they arrive.
Traffic-source-segmented funnel paths: median +28% overall funnel CVR vs. single-path architecture.
Message continuity across steps
The promise made at step 1 must be visible through step 4
The ad's promise is step 0. If the landing page picks up that promise, the product page must reinforce it, the cart must validate it, and the checkout must remove any anxiety about it. Most funnels maintain message continuity from ad to landing page — and then abandon it. The checkout is generic. The cart is template-driven. The visitor's motivation from step 1 is not reinforced at the moment of maximum commitment.
Message continuity across all funnel stages: median −22% checkout abandonment rate.
Friction-stage alignment
Proof belongs where hesitation peaks — not at the top
Hesitation peaks at the commitment step — not at the awareness step. Most funnels front-load their proof (testimonials on the landing page) and thin it out at checkout (where the credit card is asked for and anxiety is highest). Funnel architecture redistributes proof density to where hesitation actually occurs: adjacent to the add-to-cart, at the checkout, and in the email sequence if the visitor abandons.',
Proof redistribution to commitment stages: median +19% checkout completion rate.
The creative brief is step 0 of every funnel
Message continuity across funnel stages starts with the ad creative. The promise the ad makes determines what the landing page must validate, what the product page must reinforce, and what the checkout must resolve. Funnel architecture and creative briefing are most powerful when designed together.
05 / Friction Removal
Every funnel step has its own friction profile. We fix each one.
Funnel friction is not uniform — a landing page exit is caused by different variables than a cart abandonment, which is caused by different variables than a checkout drop-off. Applying landing page CRO tactics to a checkout problem produces the wrong test. The friction map identifies the correct intervention at each stage, ranked by revenue-recovery impact.
Landing page → product/content
Above-fold abandonment — 60–70% of paid traffic exits here
The largest drop-off in most funnels happens between the landing page and the next intended step — not because visitors dislike the product, but because the landing page fails to create enough intent to justify scrolling, clicking through, or engaging. Message mismatch, slow mobile load, and absence of above-fold proof are the three highest-frequency causes. This is the stage where most CRO budgets should be concentrated first.
Product/content → cart or lead form
Consideration drop — where objections kill the progression
Visitors who reach the product page or content page have passed initial relevance screening. They are considering. The friction at this stage is almost entirely cognitive: unanswered objections, unclear pricing, missing social proof, ambiguous variant selection, and no clear 'what happens next'. These are not design problems. They are information architecture problems — solvable by reorganising what the visitor sees and in what order.
Cart → checkout initiation
Cart abandonment — intent confirmed, commitment blocked
Cart abandonment is high-intent failure. The visitor chose the product. They added it. Then something in the transition to checkout introduced enough friction or anxiety to cause abandonment. Unexpected shipping costs (the leading cause of cart abandonment globally), forced account creation, a checkout UI that feels untrustworthy on mobile, and the absence of a total-price transparency moment before the final click are the primary variables.
Checkout → purchase
Checkout abandonment — the highest-value recovery opportunity
Checkout abandonment has the highest revenue recovery potential of any funnel stage because the intent is maximum — the visitor provided their details, selected payment, and did not complete. The causes are predictable: mobile form friction, payment method gaps (missing Tabby, Tamara, or Mada for GCC audiences), security trust gap, and a final price anxiety moment. These are well-understood and testable variables with high confidence of lift.',
06 / Tracking & Attribution
Step-level behavioral data before step-level hypotheses.
Funnel optimization without step-level event tracking is guessing which of four stages to fix first. Most funnels track the final conversion event — and nothing between ad click and purchase. We install the full tracking stack across every funnel stage before any diagnostic begins, so every hypothesis is grounded in behavioral evidence at the specific stage it targets.
The step-level gap
What you can't see, you can't optimise
A funnel tracked only at the final conversion event produces one optimisation signal: the overall CVR. It tells you nothing about which of four stages is your highest-leverage intervention. Step-level event installation is the prerequisite for funnel optimization — not an optional add-on.
4.2×
Higher test win rate when step-level behavioral data is used to generate hypotheses vs. assumption-led CRO
68%
Of funnel drop-off occurs at stages that have no dedicated tracking events installed — invisible to reporting
+31%
Average revenue-per-visitor improvement in first 60 days when tracking is installed before CRO begins
Server-side CAPI across all funnel stages
Server-side events preserve signal quality through the full funnel and prevent A/B test variants from skewing platform machine learning during test windows.
Step 1 — Landing page
Identifies above-fold abandonment vs. engaged-but-not-clicking
Step 2 — Product / content page
Separates intent signals from browse-and-exit at the consideration stage
Step 3 — Cart / lead form
Pinpoints the exact field or moment that triggers cart or form abandonment
Step 4 — Checkout / conversion
Enables checkout friction repair and server-side signal quality for Smart Bidding
07 / Page-Level Optimization
Every page in the funnel has a conversion role. We optimize each one.
Funnel optimization is the system view. Page-level optimization is the tactical execution within it. The funnel audit determines which page needs the most intervention, in what order, and what the behavioral evidence says to test first. The funnel shapes the brief for each page. The page tests produce the data that updates the funnel model.
Funnel entry
Landing Page
Validates the ad promise — or loses 65–75% of paid traffic immediately
The landing page is the most-optimised stage in most funnels — and often not the highest-leverage one. Once the landing page is converting at an acceptable rate, funnel optimization shifts attention downstream. That said, message-match and above-fold hierarchy remain the primary levers when landing page drop-off is disproportionate to downstream stages.
Dedicated single-page conversion optimization
Consideration stage
Product or Content Page
Advances intent from 'interested' to 'I want this' — or loses it to objections
The product page is the most undertested stage in most ecommerce funnels. Drop-off here is cognitively driven — unanswered objections, unclear pricing, ambiguous variant selection, and absent social proof. Session recordings at this stage consistently reveal the same patterns: rage clicks on variant selectors, scroll stopping at price, and exit without any CTA interaction. All testable. All predictable.',
Commitment stage
Cart or Lead Form
The first commitment ask — where intent meets friction for the first time at scale',
The cart is where intent is highest and where unexpected friction produces the most abrupt exits. Unexpected shipping costs, absence of preferred payment methods, and a checkout UI that feels low-trust on mobile are the top three causes of cart abandonment globally and in GCC markets specifically. These are not conversion optimisation problems — they are infrastructure decisions with conversion consequences.',
Conversion stage
Checkout or Final CTA
Maximum intent, maximum anxiety — the highest-value stage to get right',
Checkout abandonment has the highest revenue recovery potential per intervention because the visitor has confirmed their intent at every prior stage. The friction at checkout is well-understood: mobile form architecture, payment trust gap, final price anxiety, and the absence of security and trust signals at the point of payment entry. These are testable with high confidence of lift and fast test run time due to high event volume.',
08 / GCC Funnel Localization
Funnel optimization built for UAE and KSA conversion behaviour.
GCC funnels lose revenue at stages that Western funnel benchmarks do not predict. Payment method gaps at checkout, RTL layout fragmentation across funnel stages, Ramadan-driven audience behaviour shifts, and high-consideration lead qualification requirements are specific to this market — and all measurably impact funnel CVR for brands running paid media in UAE and KSA.
Local payment trust signals
GCC Payment Architecture
GCC funnel abandonment at checkout is disproportionately caused by payment method gaps. Tabby and Tamara (buy-now-pay-later) are expected by the 18–35 UAE and KSA demographic — their absence on a checkout page is a trust signal failure, not a feature gap. Mada is the dominant debit card in KSA and must be present for any ecommerce funnel targeting Saudi audiences. Payment method architecture is the highest-leverage checkout intervention in GCC markets.
- Tabby and Tamara BNPL integration required for UAE and KSA 18–35 demographic
- Mada debit acceptance mandatory for KSA ecommerce funnels
- Apple Pay on mobile checkout — dominant mobile payment in UAE
- Payment badge placement adjacent to final CTA, not in footer
RTL multi-step journey design
Arabic Funnel Continuity
An Arabic-language funnel is not a translated funnel. The visual hierarchy, reading flow, and trust signal placement must be rebuilt for RTL at every stage — not just on the landing page. An Arabic visitor moving through an LTR product page, then an LTR cart, then a partially-translated Arabic checkout will experience a fragmented journey that signals the brand does not understand its market. Full RTL continuity across all stages is a conversion variable.',
- RTL layout applied at every funnel stage — not just landing page
- Arabic-language trust signals adjacent to Arabic CTA buttons
- Arabic number formatting and currency symbol positioning
- Arabic error messages and form validation text for lead gen funnels
Seasonal conversion architecture
Ramadan Funnel Strategy
Ramadan affects every stage of the funnel simultaneously. CPMs rise. Evening traffic patterns shift. Category purchase intent changes. Promotional sensitivity spikes. Without a Ramadan-specific funnel strategy — covering landing page messaging, product page urgency signals, and checkout offer framing — brands running GCC funnels during Ramadan are optimising against a transformed audience with non-seasonal pages.',
- Ramadan-specific offer framing at landing page and product stage
- Eid gift-giving purchase path for relevant product categories
- Evening ad scheduling aligned with post-iftar funnel activity peaks
- Post-Ramadan funnel re-entry for cart abandonment sequences
High-consideration GCC lead gen
UAE High-Intent Lead Funnels
Real estate, finance, healthcare, and education in the UAE are high-consideration categories with long conversion cycles. The lead funnel for these categories must manage multi-visit, multi-channel journeys — and the CRM integration and lead quality scoring that determines whether paid media spend is actually converting to revenue. A CPL metric without lead quality scoring is an optimisation signal that drives volume, not value.',
- Multi-step lead qualification funnel for high-consideration categories
- WhatsApp funnel entry for UAE and KSA — highest trust and completion rate
- CRM lead quality integration to optimise on qualified lead, not raw CPL
- Retargeting funnel for high-consideration multi-visit decision cycles
09 / Funnel Types
Ecommerce, SaaS, lead generation, and high-ticket. One optimization system.
Funnel structure and conversion metrics differ fundamentally by business model. Ecommerce funnels optimize on revenue per visitor. SaaS funnels optimize on trial-to-paid activation. Lead generation funnels optimize on cost per qualified lead — not raw CPL. High-ticket funnels optimize on consultation-to-close rate. The diagnostic and testing methodology is the same. The stages, metrics, and hypotheses are specific to each model.
Ecommerce
Ecommerce Purchase Funnel
Objective: Revenue per visitor across the full purchase path
The ecommerce funnel spans from paid ad to product discovery to add-to-cart to checkout to purchase. Each stage has a predictable drop-off range and a testable set of friction variables. We audit the full path — not just the landing page — and test interventions in revenue-impact order. The compounding model means fixing cart abandonment amplifies the impact of every landing page improvement already in place.
Primary metric: revenue per visitor across full funnel
SaaS
SaaS Trial & Activation Funnel
Objective: Trial sign-up to paid activation rate
The SaaS funnel has two conversion events that matter: trial sign-up and paid activation. Most SaaS CRO focuses on the first event. The second — trial-to-paid — has higher revenue impact and is typically undertested. We map the full journey from paid ad to trial sign-up to onboarding completion to first meaningful use to paid conversion, and test interventions across the activation gap specifically.',
Primary metric: trial-to-paid activation rate
Lead generation
Lead Generation & Qualification Funnel
Objective: Cost per qualified lead — not cost per raw lead
Lead generation funnels are optimised against the wrong metric when they are optimised against CPL. The downstream metric — lead-to-consultation rate, lead-to-qualified rate, or lead-to-close rate — is what media spend actually needs to drive. We instrument the full funnel from paid ad to CRM qualification event, and test interventions that improve lead quality alongside lead volume.',
Primary metric: cost per qualified lead — not cost per raw form submit
High-ticket & services
High-Ticket Consultation Funnel
Objective: Call booking rate and consultation-to-close rate
High-ticket funnels have a multi-touch decision cycle: ad → content → retargeting → call booking → consultation → close. The conversion event is not a form submit or a purchase — it is a quality consultation that closes. Funnel optimization in this model focuses on trust architecture throughout the awareness and consideration stages, call booking friction removal, and pre-call qualification that improves consultation close rate.',
Primary metric: consultation-to-close rate — not raw call volume
The traffic source determines the funnel architecture. Funnels receiving Google Ads search traffic need different entry-stage architecture than funnels receiving Meta Ads or TikTok Ads cold social traffic. The funnel optimization brief is always written from the specific audience temperature, intent level, and platform expectation of the traffic entering it.
10 / Results
Funnel optimization outcomes across ecommerce, SaaS, and lead generation
Every result is measured against one standard: revenue per visitor improvement across the full funnel — not just at the landing page entry point. Representative results from funnel optimization engagements across UAE, KSA, and Dubai brands running paid media into multi-step funnels.
- EcommerceUAE + KSA+94%
Revenue per visitor across full funnel
Funnel audit found the highest drop-off at cart abandonment (82%) — not at the landing page. Root cause: unexpected AED 35 delivery fee revealed at checkout, no BNPL option for KSA. Three-stage intervention: delivery fee absorbed into product pricing, Tabby integration at checkout, and shipping trust badge added to product page. Cart abandonment fell from 82% to 43%. Revenue per visitor across the full funnel increased 94% over 60 days without changing ad spend.
Cart abandonment rate−47%Read the case study - SaaSDubai+3.1×
Trial-to-paid activation rate
Trial sign-up rate was acceptable (4.2%). Trial-to-paid rate was 6.4% — meaning 93.6% of trial users never converted. Funnel audit identified the activation gap: users were not reaching the first meaningful value moment within the trial window. Onboarding restructure moved the key action to day 1 (vs. day 5). Product page added 'time to first value' messaging. Activation sequence added two behavioural email triggers. Trial-to-paid rate lifted to 19.8% over 90 days.
Cost per activated user−38%Read the case study - Real EstateKSA+2.7×
Lead-to-consultation rate
Meta and Snapchat KSA campaigns generating high CPL with low consultation rate. Funnel audit: lead form was 8 fields, no WhatsApp option, generic thank-you page with no next-step CTA. Rebuilt: 3-field Arabic-primary form, WhatsApp as primary CTA, and an instant confirmation WhatsApp message with project details and viewing slots. CPL fell 52%, lead-to-consultation rate increased 2.7× in 45 days. Revenue per lead improved without increasing media spend.
Cost per qualified lead−52%Read the case study
Results are reconstructed from server-side tracking and verified attribution. Figures are representative of typical engagements, not guarantees.
11 / Questions
Common questions about funnel optimization
Straight answers on what funnel optimization includes, how it differs from landing page CRO, how much traffic is required, what tracking setup is needed, how it connects to paid media, and how Arabic and GCC funnels are handled.
Funnel optimization starts with a full funnel mapping and revenue leak audit — every step from ad click to final conversion, with visitor counts, drop-off rates, and revenue-per-visitor at each stage. From that audit, we produce a priority intervention ranking based on revenue recovery potential per stage. We then execute A/B tests at each stage in priority order, with clean step-level event tracking and 95% confidence thresholds. The engagement produces a compounding revenue-per-visitor improvement across the full funnel — not just at the landing page entry point.
Landing page CRO focuses on one page — the entry point from paid traffic. It optimises message match, above-fold hierarchy, mobile performance, and friction on a single destination page. Funnel optimization maps and improves every step in the multi-stage journey from ad click to final conversion — including the landing page, the product or content page, the cart or lead form, the checkout, and in some cases the post-purchase or post-lead sequence. Funnel optimization often discovers that the landing page is not the highest-leverage intervention point in the funnel.
Effective funnel A/B testing at any given stage requires 500+ conversion events per variant per test — which means 1,000+ events per stage per test period. For ecommerce funnels, 'events per stage' means product page views, add-to-cart events, and checkout initiations — not just final purchases. For lead generation funnels, it means form views and form submits. For accounts below these thresholds at specific stages, we run evidence-led optimisation (diagnostic-informed changes without concurrent A/B testing) until traffic volume justifies formal testing.
At minimum: GA4 with step-level conversion events configured — landing page view, product/content page view, cart add or form view, checkout initiation, and purchase or form submit. For effective diagnostic work, we also need scroll-depth events at each stage and click events on stage-progression CTAs. Heatmap and session recording coverage across all funnel stages (not just the landing page) is installed as part of the engagement setup. For paid traffic funnels, we also require server-side CAPI events on all active ad platforms — both for tracking accuracy and to maintain signal quality during test windows.
Yes. Ecommerce funnel optimization targets revenue per visitor across the full purchase path — from landing page through product discovery, add-to-cart, checkout, and purchase. Lead generation funnel optimization targets cost per qualified lead — not raw CPL — by optimising form architecture, offer framing, qualification questions, and the handoff to sales or CRM. For lead gen, we instrument the downstream CRM qualification rate and optimise the funnel against that signal, not against raw form submission volume.
Funnel optimization is the direct efficiency multiplier for paid media spend. A full-funnel revenue-per-visitor improvement of 50% produces the equivalent of a 50% reduction in effective cost-per-acquisition — without changing media spend. We run funnel optimization as an integrated workstream alongside paid media: the funnel audit informs which pages and stages receive test budget, and conversion improvements feed directly back into media buying efficiency. The paid media team scales spend against an improving revenue-per-visitor baseline.
The funnel mapping and revenue leak audit takes 7–10 business days. First-priority interventions are live within 14–21 days of engagement start. Test run time depends on stage-level traffic volume: stages with 1,000+ conversion events per week typically reach statistical significance in 10–14 days. Stages with lower volume take 3–5 weeks per test. The first statistically significant result is usually available within 30–45 days. Compounding improvements build through each subsequent cycle.
Yes. Arabic funnel optimization covers RTL layout continuity at every funnel stage (not just the landing page), GCC-specific payment architecture (Tabby, Tamara, Mada, Apple Pay), Arabic-language trust signals adjacent to conversion actions, WhatsApp as a lead funnel entry and qualification channel, and seasonal funnel strategy for Ramadan and Eid. We audit Arabic-language session recordings and produce Arabic-specific test hypotheses — not translated English-market assumptions applied to a GCC audience.
Start with a funnel audit
See exactly where your funnel is losing paid media revenue
Book a 30-minute call and we will audit your full conversion funnel — every step from ad click to final conversion, with visitor counts, drop-off rates, and revenue-per-visitor at each stage — then deliver a written priority intervention roadmap within five business days. Specific findings on which stage to fix first and why. No pitch. No commitment beyond the audit.
- Senior CRO strategist on every call
- Written funnel audit within 5 business days
- UAE · KSA · Global markets