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Optimizing Front Office Revenue Streams: A Data-Driven Analysis of Upselling Product Performance and Agent Incentive Effectiveness at Voco Jeddah Gate

Abstract

Topic: The evolving landscape of the Saudi Arabian hospitality sector, driven by Vision 2030, was examined to address the imperative for internal revenue maximization without relying solely on occupancy growth. Specifically, the financial efficacy of Front Office upselling strategies at Voco Jeddah Gate was investigated. The central research question focused on identifying how incremental revenue streams could be optimized through a data-driven analysis of product performance and human capital efficiency.

Objectives: To address this topic, secondary transactional data from November 2025—comprising daily product metrics and agent incentive reports—were analyzed quantitatively. Three specific objectives were established to guide the project: to evaluate the financial contribution of distinct upsell product categories, to assess the relationship between agent incentive tiers and revenue generation, and to isolate the operational determinants (such as timing and market segmentation) that drive successful transactions. These objectives were pursued by cross-referencing financial outputs with operational variables to determine the efficiency of the current "In-Gauge" upselling program.

The Lessons Learned: The study revealed a critical lesson regarding the "long tail" of revenue: ancillary sales, notably breakfast, unexpectedly outperformed room upgrades, capturing 54.5% of incremental income. Furthermore, the analysis highlighted that motivation is non-linear; "Tier 3" agents generated four times the revenue of "Tier 1" peers, validating that tiered incentives create distinct performance stratification. Operationally, the study taught that guest purchasing is predictable rather than random, evidenced by a strong weekend preference for suites among transient travelers. These insights fully met the objectives, establishing that upselling success relies on integrating Total Revenue Management with precise, data-backed human capital strategies.

Keywords: Front Office Upselling, Total Revenue Management, Agent Incentives, Saudi Hospitality, Ancillary Revenue.

1. INTRODUCTION

The hospitality landscape in the Kingdom of Saudi Arabia is currently undergoing a profound transformation, driven largely by the ambitious goals of Vision 2030. This national framework has catalyzed a significant rise in religious tourism, as well as a robust increase in business and leisure travel across the region (Zaki, 2025). Consequently, the hospitality industry in Saudi Arabia has become increasingly competitive and demanding, necessitating a shift in how hotels approach revenue generation. International hotel brands operating within the Kingdom have made it a strategic priority to maximize the financial yield from current demand while simultaneously maintaining high levels of guest satisfaction (Bardi, 2018). In this high-stakes environment, the traditional reliance on room occupancy as the sole primary performance indicator is no longer sufficient for sustaining profitability.

Hoteliers are now turning their attention to internal revenue enhancement strategies that leverage existing footfall (Cirer-Costa, 2022). One of the most direct and effective ways for a hotel to raise its Average Daily Rate (ADR), Revenue per Available Room (RevPAR), and Guest Satisfaction Index (GSI) without necessarily raising occupancy is to implement structured upselling programs (Morrison, 2022). This involves offering guests higher-category rooms, such as suites, or extra services like breakfast and early check-ins, at the point of arrival or during their stay (Vinod, 2022). This approach allows hotels to unlock "hidden" revenue that does not require additional marketing spend to acquire new customers. Instead, it focuses on maximizing the wallet share of guests who have already committed to staying at the property.

However, the implementation of such strategies is often complex and relies heavily on the capabilities of the operational staff (Sharma, 2022). The challenge lies not only in defining the right products to sell but also in motivating the workforce to execute these sales effectively. Recent market data indicates that hotels that succeed in this area often possess a clear understanding of their product metrics and agent performance behaviors (Gao, 2025; Minor et al., 2025). Therefore, this research focuses on the intersection of human capital and revenue management. By analyzing real-world transactional data, it is possible to determine how frontline employees contribute to the financial health of the organization and what specific operational factors drive the success of upselling initiatives.

The study centers on the Voco Jeddah Gate, a five-star property that exemplifies the modern challenges and opportunities within the Saudi Arabian hospitality sector. By examining the hotel’s specific data regarding product metrics and agent incentives, this research aims to move beyond theoretical discussions of upselling. Instead, it seeks to provide a granular analysis of how specific products—ranging from room upgrades to ancillary services—contribute to the bottom line. Furthermore, it explores the critical role of the Front Office team, whose performance is directly tied to the hotel’s ability to generate incremental revenue. This dual focus on product viability and staff motivation provides a holistic view of the upselling ecosystem.

This research employs a quantitative methodology utilizing secondary data obtained directly from Voco Jeddah Gate’s internal management systems. The primary data sources are the "Product Metric" and "Agent Incentive" reports generated by the hotel's "In-Gauge" software for the period of November 2025. These datasets provide a granular record of daily transactional activities, including specific product sales (e.g., room upgrades, breakfast), revenue figures, agent performance metrics, and incentive payouts. Data analysis was conducted by cross-referencing these files to identify correlations between agent tiers and revenue generation, as well as to isolate operational trends such as market segmentation and peak sales timing.

1.1. Business and Department(s)

The focal point of this research is Voco Jeddah Gate, a prominent establishment operating within the competitive five-star hotel market of Jeddah, Saudi Arabia. As part of the InterContinental Hotels Group (IHG), Voco Jeddah Gate adheres to rigorous international standards while catering to a diverse mix of clientele, including religious tourists, business transients, and leisure travelers (Voco Jeddah Gate, 2025). The business operates in a dynamic environment where guest expectations are high, and the pressure to perform financially is constant. The hotel utilizes sophisticated data tracking systems, such as "In-Gauge," to monitor daily performance, ensuring that every transaction and interaction is recorded for analysis (Vinod, 2022). This technological infrastructure provides the necessary data foundation for assessing business performance.

The specific department under scrutiny in this study is the Front Office, often referred to as the "nerve center" of the hotel. Traditionally, the Front Office has been viewed primarily as a service department responsible for checking guests in and out, handling inquiries, and managing room assignments (Ahn et al., 2022)). However, the scope of this department has evolved dramatically (Guillet & Mohammed, 2024). In the modern hospitality context, and specifically at Voco Jeddah Gate, the Front Office functions as a critical revenue center. The reception desk is no longer just a service point; it is the point of sale for the hotel’s most valuable inventory upgrades and ancillary services (Lei & Ibrahim, 2024). The staff within this department are expected to transition seamlessly between the roles of welcoming hosts and skilled sales agents (Murray et al., 2025).

The Front Office department at Voco Jeddah Gate comprises a team of agents who are categorized by performance tiers—Tier 1, Tier 2, and Tier 3—based on their sales proficiency and tenure. These agents are the primary drivers of the "Agent Incentive" program, a structured scheme designed to reward employees for generating incremental revenue. The department’s operations are deeply integrated with the hotel’s revenue management strategies. Every time an agent successfully upgrades a guest from a standard room to a suite, or sells a breakfast package, they directly influence the hotel’s ADR and RevPAR metrics (Pons et al., 2025). The synergy between the Front Office staff and the revenue goals of the business is the engine that drives the upselling results observed in the data.

Furthermore, the Front Office does not operate in a vacuum; it collaborates closely with the Rooms Division management to ensure that the products being sold align with inventory availability (Kheddache & Djadli, 2025). The data from Voco Jeddah Gate reveals that the department manages a wide array of products, from "Room Upsells" to "Other Revenue" categories like early check-ins and late check-outs. This diversity in product offerings requires the Front Office team to be versatile and knowledgeable (Stefano et al., 2015). They must be able to assess a guest's needs in moments and offer a relevant solution that enhances the guest's stay while generating profit for the business (Chaerunnisa & Samboh, 2020). This operational complexity makes the Front Office the ideal subject for analyzing the effectiveness of upselling strategies.

The business significance of this department is further highlighted by the volume of financial transactions it handles beyond the base room rate (Aryawan, 2024). As indicated in the hotel’s internal reports, the Front Office is responsible for processing thousands of Saudi Riyals in incremental revenue monthly. This revenue stream is particularly valuable because it flows almost entirely to the bottom line, with minimal associated costs compared to acquiring new bookings (Adriana et al., 2020). Therefore, understanding the mechanics of this department—how agents behave, how incentives influence their performance, and which products they sell most effectively—is essential for any strategic adjustment. The Front Office at Voco Jeddah Gate serves as a microcosm for the broader industry shift towards a sales-oriented service culture.

1.2. Overriding Topic and Objectives

The overriding topic of this research is the optimization of Front Office revenue streams through a data-driven analysis of upselling product performance and agent incentive effectiveness at Voco Jeddah Gate . This topic was selected to directly address the need for empirical evidence in understanding how upselling functions in a real-world Saudi Arabian context. While general theories of revenue management exist, there is a distinct need to adjust the research focus to be relevant with the information in the files attached, which serve as the secondary data sources. The topic moves beyond generic assumptions and anchors itself in the specific transactional realities of the hotel, such as the performance of specific room types and the efficacy of the current commission structures.

To achieve a comprehensive analysis, three main objectives have been formulated. These objectives are designed to see how upselling achieved extra revenues and what are the most important factors determining that success. They integrate the meaning of the broader goals—assessing revenue metrics, understanding success factors, and formulating KPIs—into actionable research targets based on the available data.

This research seeks to achieve the following objectives:

1. To evaluate the financial contribution of distinct upsell product categories in generating incremental revenue at Voco Jeddah Gate.

2. To analyze the variability in Front Office agent performance at Voco Jeddah Gate.

3. To identify the operational determinants of successful upselling to formulate data-backed strategies for the Front Office at Voco Jeddah Gate

1.3. Important Terms

To ensure clarity and precision throughout this research, several important terms are defined below. These definitions are tailored to the context of the hospitality industry and the specific data structures found in the Voco Jeddah Gate files.

Upselling: In the context of this study, upselling refers to the practice where Front Office agents persuade a guest to purchase a higher-priced version of the product they originally booked (e.g., moving from a Standard Room to a Suite) or to purchase add-on services (e.g., Breakfast, Late Check-out) (Bardi, 2018). It is a sales technique used to increase the total transaction value.

Incremental Revenue: This refers to the extra revenue generated solely from the upselling activity, separate from the original room rate booked by the guest. It is a critical metric because it represents pure profit potential (Vinod, 2022).

Commissionable Revenue: This term defines the portion of the incremental revenue that is eligible for agent incentives. Not all revenue generated may qualify for a commission; therefore, distinguishing this figure is vital for understanding agent motivation (Rana & Meena, 2026).

ADR (Average Daily Rate): ADR is a standard hotel performance metric calculated by dividing total room revenue by the number of rooms sold (Vinod, 2022). While the primary data for this study focuses on incremental revenue, the ultimate goal of upselling is to increase the overall ADR.

RevPAR (Revenue Per Available Room): RevPAR is calculated by multiplying a hotel's ADR by its occupancy rate. It provides a holistic view of how well the hotel is filling its rooms and at what price (Bardi, 2018). Upselling impacts RevPAR by increasing the revenue generated from occupied rooms.

Incentive Tier: This term refers to the classification system used to categorize Front Desk agents based on their experience or performance levels (Morrison, 2022). In the Voco Jeddah Gate data, agents are assigned to Tier 1, Tier 2, or Tier 3. These tiers often dictate the percentage of commission an agent earns or the targets they must meet.

2. Theoretical Background

The hospitality industry operates within a complex ecosystem where financial metrics, human behavior, and operational excellence intersect. To fully understand the dynamics of front office upselling, it is insufficient to view the data merely as a collection of transaction figures. Instead, the phenomenon of upselling—where specific products are sold by specific agents to specific guests—must be analyzed through established academic frameworks.

This study draws upon four distinct but interconnected theories. First, The Theory of Revenue Management provides the structural logic for what is being sold (products and prices). Second, Service Quality (SERVQUAL) Theory explains how the sales process interacts with guest expectations. Third, The Two-Factor Model of Herzberg’s Motivation Theory elucidates why certain agents perform better than others, addressing the human capital aspect of the study. Finally, Management of Customer Experience (CEM) frames the outcome from the guest's perspective, validating why guests choose to pay for upgrades. Collectively, these four theoretical pillars account for the variance in incremental revenue, agent performance tiers, and product popularity identified in this research.

2.1 The Theory of Revenue Management

The Theory of Revenue Management (RM) serves as the foundational economic framework for this study. Historically, revenue management was defined as selling the right room to the right client at the right moment for the right price (Vinod, 2022). However, as the hospitality landscape has evolved, so too has the theory, moving from a static inventory control method to a dynamic, data-driven discipline. In the context of Voco Jeddah Gate, RM is the mechanism that determines the pricing and availability of the "Room Upsell" and "Other Revenue" categories found in the daily product metrics.

The modern application of Revenue Management theory relies on several core components: segmentation, forecasting, and dynamic pricing. According to Vinod (2022), segmentation allows hotels to categorize guests based on their booking behavior and price sensitivity. This is directly visible in the Voco Jeddah Gate data, which explicitly tracks the "Market Segment" (e.g., Transient, Group) for every upsell transaction. The theory posits that different segments have different propensities to pay. For instance, a "Transient" guest tracked in the study is theoretically more likely to accept a dynamic price offer for a suite upgrade than a "Group" guest who is locked into a negotiated rate.

Furthermore, the component of dynamic pricing algorithms is central to optimizing revenue. Gao (2025) argues that utilizing data analysis to adjust prices in real-time is essential for maximizing yield. In this study, the "Product Charge" and "Upgrade Amount" columns in the Voco Jeddah Gate files are not static; they fluctuate based on the "Daily Date" and "Arrival Date." This fluctuation is the practical application of RM theory, where the hotel attempts to capture the consumer surplus—the difference between what a guest is willing to pay and what they actually paid. When the Front Office agent successfully sells a "1 Bedroom Suite" for an additional 200 SAR, they are executing a revenue management tactic that captures this surplus (Pons et al., 2025).

Another critical evolution in this theory is the shift toward "Total Revenue Management." Sharma (2022) emphasizes that in the digital age, revenue management must extend beyond just the room rate to include all ancillary revenue streams. This component is vital for interpreting the current study's data, which shows a significant portion of revenue coming from "Other Revenue" sources such as breakfast and early check-ins. The theory suggests that optimizing these smaller, non-room revenue streams is just as critical for the Total RevPAR (TRevPAR) as selling room upgrades (Sharma, 2022).

Table 2.1

Application of Revenue Management Components in the Current Study

RM Component	Theoretical Definition	Application in the Current Study
Segmentation	Categorizing customers to target price offers (Vinod, 2022).	"Market Segment" column distinguishes between Transient and Corporate upsell potential.
Dynamic Pricing	Adjusting prices based on demand algorithms (Gao, 2025).	"Upgrade Amount" varies for the same "New Room Type" based on "Arrival Date."
Total RM	Optimizing all revenue streams, not just rooms (Sharma, 2022).	Inclusion of "Breakfast" and "Early Check-in" in the "Other Revenue" category.
Perishability	Inventory cannot be stored; must be sold daily (Bardi, 2011).	The urgency to sell upgrades at check-in before the night audit runs.

2.2 Service Quality (SERVQUAL) Theory

While Revenue Management dictates the price, Service Quality (SERVQUAL) theory dictates the delivery. Developed as a method to measure the gap between customer expectations and their perception of service, SERVQUAL has become a cornerstone of hospitality operations management. Stefano et al. (2015) describe the model as a multi-dimensional construct that is essential for evaluating performance in the hotel industry. In the context of upselling, the transaction is not merely financial; it is a service interaction. A guest’s willingness to upgrade is often a direct reflection of the quality of service provided by the Front Desk agent at the moment of arrival.

Components of SERVQUAL

The SERVQUAL model comprises five distinct dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy (Stefano et al., 2015).

· Tangibles refer to the physical facilities and appearance of personnel. In this study, the "New Room Type" (e.g., a Suite) represents the tangible aspect of the upsell.

· Reliability is the ability to perform the promised service dependably and accurately.

· Responsiveness involves the willingness to help customers and provide prompt service.

· Assurance relates to the knowledge and courtesy of employees and their ability to convey trust and confidence.

· Empathy is the provision of caring, individualized attention to customers.

Kheddache and Djadli (2025) argue that these dimensions are hierarchical. For an upsell to occur, the guest must first feel "Assurance" from the agent. If the guest does not trust the agent’s recommendation, they will not commit extra funds. Aryawan (2024) specifically links these dimensions to front office operations, noting that optimizing service quality is a prerequisite for effective upselling strategies. If an agent is not "Responsive" to a guest's fatigue during check-in, they may miss the opportunity to sell an "Early Check-in" or a quieter room, both of which are key revenue drivers in the Voco dataset.

The relevance of SERVQUAL to the current study is observed in the variance of agent performance found in the "Agent Incentive" file. The theory suggests that agents who score higher on SERVQUAL dimensions—particularly Assurance and Empathy—are more successful at upselling (Aryawan, 2024). In the study's data, "Tier 3" agents like Rayan and Nibras consistently generate higher "Commissionable Revenue" than Tier 1 agents. Theoretically, this indicates that Tier 3 agents are not just "asking" for the sale; they are utilizing superior service quality skills to diagnose guest needs (Empathy) and confidently present the upgrade as a solution (Assurance).

2.3 The Two-Factor Model of Herzberg's Motivation Theory

Moving from the guest interaction to the employee perspective, Herzberg’s Two-Factor Theory of Motivation provides the explanatory power for the "Agent Incentive" data. This theory is critical for understanding the human capital dynamics at Voco Jeddah Gate. Ardiana et al. (2020) applied this specific theory to Front Office upselling, positing that employee performance is driven by two distinct sets of factors: Hygiene Factors and Motivators. Understanding this distinction is necessary to interpret why the "Agent Incentive Plan" at Voco Jeddah Gate is structured with Tiers and Commissions.

Herzberg distinguished between Hygiene Factors (maintenance factors) and Motivators (growth factors).

· Hygiene Factors are extrinsic elements such as company policy, supervision, salary, and working conditions. According to the theory, the presence of these factors prevents dissatisfaction but does not necessarily create satisfaction or high performance (Ardiana et al., 2020). In the context of Voco Jeddah Gate, the agents' base salaries and the existence of the "Governance Rules" (as seen in the data files) serve as hygiene factors. They ensure the agents show up to work and follow procedures, but they do not drive the extra effort required to close a sale.

· Motivators, on the other hand, are intrinsic factors such as achievement, recognition, the work itself, responsibility, and advancement. These are the factors that actually drive superior performance. The "Incentive Payout" column in the study’s data is a direct representation of a "Motivator." It provides recognition (financial and status) for the achievement of generating revenue.

Bardi (2011) supports this by noting that front office staff often face high-stress environments, and without specific motivators, burnout is common. The structure of "Tiers" (Tier 1, Tier 2, Tier 3) in the "Agent Incentive" file serves as a mechanism for "Advancement" and "Recognition." Moving from Tier 1 to Tier 3 is a tangible sign of professional growth, which Herzberg identifies as a powerful internal generator of motivation.

The application of Herzberg’s theory to the Voco Jeddah Gate study is evident when analyzing the "Payout Efficiency" and agent ranking. The data shows a clear disparity in performance: a small group of Tier 3 agents (e.g., Rayan, Nibras) generates the vast majority of the revenue. Herzberg’s theory explains this by suggesting that these agents are fully engaged with the Motivators. They are driven by the "Achievement" of the sale and the "Recognition" of the commission (Incentive Payout). Conversely, agents in Tier 1 who have low sales volumes may only be operating under the influence of Hygiene Factors—doing enough to keep their jobs but not motivated enough to actively pursue the upsell.

2.4 Management of Customer Experience (CEM)

The fourth and final theoretical lens is the Management of Customer Experience (CEM). While SERVQUAL focuses on the functional delivery of service, CEM focuses on the holistic, emotional, and psychological journey of the guest. Morrison (2022) defines CEM as the process of strategically managing a customer’s entire experience with a product or company. In the context of Voco Jeddah Gate, upselling is framed not as a sales tactic, but as an experience enhancement tool. This theory is essential for explaining why guests agree to the upsell—they are seeking to optimize their own experience.

CEM is built on the premise that customers do not just buy products; they buy "memorable experiences" (Murray et al., 2025). Key components include:

· Touchpoints: Every interaction between the customer and the brand. The check-in desk is a critical "moment of truth" touchpoint.

· Personalization: Tailoring the experience to individual needs.

· Emotional Connection: Creating a feeling of being valued or cared for.

· Psychological Distance: Guillet and Mohammed (2024) discuss how the timing of the offer (online vs. in-person) affects the guest's willingness to pay.

Ahn et al. (2022) explore the effect of message appeal in upselling, noting that successful upselling enhances the guest's anticipation of a positive stay. When a guest at Voco Jeddah Gate upgrades to a "1 Bedroom Suite," they are altering their physical environment to create a superior memory. Similarly, Zaki (2025) discusses how innovation and enhanced performance in Saudi hotels are driven by focusing on the guest journey. The "Other Revenue" items in the data, such as "Late Check-out," are purely experience management tools—they allow the guest to control their time and reduce travel stress.

Furthermore, the theory of "Psychological Distance" (Guillet & Mohammed, 2024) explains the success of the Front Office over automated systems. The data shows high conversion rates for agents like Rayan. CEM theory suggests that because the agent is physically present (low psychological distance) and can read the guest's emotional state, they can frame the upsell as a personalized enhancement rather than a generic product. If a guest arrives looking exhausted, the agent offers an immediate room (Early Check-in) as an act of care. The guest purchases it not because of the price, but because it improves their immediate experience. Thus, the "Incremental Revenue" recorded in the study is actually a financial quantification of the value guests place on a better experience. The "Market Segment" data also plays a role here; "Transient" guests, often traveling alone, may value the experience of a suite (security, luxury) differently than a group traveler, and the data reflects these preferences.

Together, these theories explain the study's central phenomenon. The Voco Jeddah Gate data shows that revenue (RM) is generated when motivated agents (Herzberg) deliver high-quality interactions (SERVQUAL) that promise a superior stay (CEM). For instance, the high performance of Tier 3 agents is not an accident; it is because they are highly motivated (Herzberg), skilled in service delivery (SERVQUAL), and understand how to pitch the right product at the right price (RM) to enhance the guest's stay (CEM). This multi-theoretical approach ensures that the subsequent data analysis in this research is grounded not just in numbers, but in a deep understanding of the organizational and behavioral mechanisms at play.

3. Analysis

This section presents the empirical findings derived from the secondary data sources from Voco Jeddah Gate. The analysis is structured to mirror the three research objectives: evaluating financial contributions, assessing agent performance, and identifying operational determinants. This section moves beyond raw data description to interpret the underlying patterns of revenue generation and human capital efficiency within the hotel's Front Office operations.

3.1 Financial Contribution of Upsell Products

This subsection addresses the first research objective, which is to evaluate the financial contribution of distinct upsell product categories. It quantitatively assesses which specific items—whether room upgrades or ancillary services—are the primary drivers of incremental revenue for the hotel.

Table 3.1 provides a consolidated view of the incremental revenue generated during the study period (November 2025). It segments the total revenue into two primary categories: "Room Upsell" (upgrading the room type) and "Other Revenue" (ancillary services like breakfast, early check-in, etc.). The table highlights the total monetary value (SAR), the percentage contribution of each category to the total pot, the specific product that performed best within that category, and the average transaction value. This breakdown is essential for understanding whether the hotel’s upselling strategy relies more on high-value room upgrades or high-volume service add-ons.

Table 3.1

Financial Contribution of Upsell Products in Voco Gate Jeddah

Product Category	Total Revenue (SAR)	% of Total Revenue	Top Performing Product (By Revenue)	Avg. Revenue per Transaction (SAR)
Room Upsell	31,215.83	45.5%	1 Bedroom Suite Non-Smoking	385.38
Other Revenue	37,364.51	54.5%	Breakfast	162.45
TOTAL	68,580.34	100.0%	—	220.51

Source: Voco Gate Jeddah (2025)

The data reveals a significant finding regarding the composition of incremental revenue at Voco Jeddah Gate. Contrary to the traditional assumption that room upgrades are the sole driver of Front Office revenue, "Other Revenue" accounts for the majority share at 54.5% (SAR 37,364.51). This category is driven primarily by "Breakfast" sales. While the "Room Upsell" category commands a significantly higher Average Revenue per Transaction ( SAR 385.38 compared to SAR 162.45 for Other Revenue), the volume of transactions in the "Other" category is substantial enough to surpass the total financial yield of room upgrades. The "1 Bedroom Suite Non-Smoking" emerges as the specific "hero product" for room upgrades, indicating a strong guest preference for suite-level inventory over minor category upgrades (e.g., View upgrades). This suggests that while room upgrades provide high yield per guest, the consistency of ancillary sales (Breakfast) provides the financial baseline for the department's upselling success.

3.2 Agent Performance & Incentive Efficiency

This subsection addresses the second research objective, focusing on the human element of the upselling equation. It analyzes the relationship between the incentive tiers assigned to agents, their actual revenue production, and the cost efficiency of the payouts they receive.

Table 3.2 details the performance metrics of individual Front Office agents. It lists their assigned "Incentive Tier" (which dictates their commission structure), the total "Commissionable Revenue" they generated for the hotel, and the "Incentive Payout" they received. Crucially, the table calculates "Payout Efficiency" (Cost of Sale), which represents the percentage of revenue paid out as commission. This data allows for an analysis of whether higher tiers (and higher costs) correlate with higher revenue generation, effectively testing the validity of the hotel’s motivational structure.

Table 3.2

Agent Performance & Incentive Efficiency in Voco Gate Jeddah

Agent Name	Incentive Tier	Total Commissionable Revenue (SAR)	Total Incentive Payout (SAR)	Payout Efficiency (Cost of Sale)
Rayan Alarabi	Tier 3	11,208.09	1,120.81	10.0%
Nibras Alsulaimani	Tier 3	9,857.04	985.70	10.0%
Ahlam Aljohani	Tier 3	6,839.49	683.95	10.0%
Mohammed Alharthi	Tier 3	6,146.78	614.68	10.0%
Hashim Abuharba	Tier 2	5,241.53	393.11	7.5%
Razan Almehdar	Tier 2	4,760.26	357.02	7.5%
Nasser Alasmari	Tier 3	3,085.20	1,120.74*	36.3%*
Sultan Alasmari	Tier 1	2,792.31	139.62	5.0%
Basil Althiyabi	Tier 1	2,614.08	130.70	5.0%

Source: Voco Gate Jeddah (2025)

The analysis of agent performance exposes a distinct stratification in the workforce. There is a strong positive correlation between "Incentive Tier" and "Total Commissionable Revenue." The top four performers are all Tier 3 agents, with Rayan Alarabi leading at over SAR 11,000 in revenue. The hotel pays a standardized 10.0% efficiency cost for these top performers. In contrast, Tier 1 agents (Sultan and Basil) generate significantly less revenue (below SAR 3,000) but also cost the hotel less per dollar earned (5.0%). This confirms a progressive incentive structure where higher output is rewarded with a higher commission percentage. However, the data also highlights an anomaly with Nasser Alasmari, whose payout efficiency is 36.3%. This outlier suggests the presence of a "Champion Incentive" or a fixed bonus that is not tied strictly to a percentage of sales, indicating that the hotel uses hybrid motivation strategies (both commission-based and bonus-based) to reward specific behaviors or achievements beyond raw revenue.

3.3 Operational Determinants of Upselling

This subsection addresses the third research objective by identifying the specific operational factors—such as timing, product type, and market segment—that determine the success of an upsell transaction. It connects the "what" and "who" of the previous sections to the "when" and "how."

Table 3.3 synthesizes the dominant trends extracted from the transactional data in Product_Metric.csv. It categorizes the findings into four "Operational Factors": the specific upgrades guests prefer, the days of the week when sales peak, the market segments that are most responsive, and the average length of stay for guests who upgrade. This table serves as a strategic dashboard, highlighting the conditions under which upselling is most likely to succeed, thus providing the basis for the operational recommendations in the final section.

Table 3.3

Operational Determinants of Upselling in Voco Gate Jeddah

Operational Factor	Dominant Trend / Statistic	Insight for Strategy
Most Popular Upgrade	1 Bedroom Suite Non-Smoking	Guests are most willing to pay for space (Suites) rather than just better views or amenities.
Peak Upsell Days	Weekends (Thu/Fri)	Revenue spikes on weekends, suggesting leisure travelers are more likely to upgrade than business travelers.
Top Market Segment	"Other Revenue" / "Transient"	Independent travelers (Transient) are your primary target; group bookings rarely engage in front-desk upsells.
Avg. Stay for Upsell	2.2 Nights	Short-stay guests are more likely to commit to an upgrade since the total cost is lower than for a long stay.

Source: Voco Gate Jeddah (2025)

The operational data points to a clear profile for the "ideal" upsell candidate at Voco Jeddah Gate. The dominance of the "1 Bedroom Suite Non-Smoking" suggests that guests value tangible increases in physical space over minor enhancements. The timing of sales is heavily skewed toward Weekends (Thursday/Friday), which aligns with the Saudi Arabian weekend structure, indicating a strong leisure component to the upselling revenue. Furthermore, the "Transient" market segment is the primary driver, implying that independent travelers have more flexibility to make on-the-spot purchasing decisions than corporate or group travelers. Finally, the average length of stay for upsell transactions is relatively short at 2.2 nights. This indicates that guests are more price-sensitive regarding the total cost of the upgrade; they are willing to pay for a suite for a weekend (2 nights) but perhaps not for a week-long stay, where the cumulative cost would be prohibitive.

3.4 Impact Evaluation

The empirical analysis of Voco Jeddah Gate reveals a diversified revenue strategy where ancillary sales surpass room upgrades, challenging traditional revenue models. Concurrently, the data validates a tiered incentive structure, where high-performing agents drive the majority of commissionable revenue. Operationally, specific determinants such as suite preferences and weekend timing emerge as critical predictors of upselling success.

The most significant finding from Table 3.1 is the financial dominance of "Other Revenue" (54.5%) over "Room Upsells" (45.5%). This result challenges the traditional, room-centric view of front office upselling. Historically, the primary goal of the front desk was to increase ADR by moving guests to higher room categories (Bardi, 2011). However, the data from Voco Jeddah Gate suggests a paradigm shift toward Total Revenue Management (TRM). Sharma (2022) defines TRM as the strategic management of all revenue sources, not just rooms. The fact that "Breakfast" is a top-performing product indicates that the Front Office has effectively diversified its revenue streams.

This corresponds with what Vinod (2022) argues regarding the "last frontier" of revenue management: capturing the guest's wallet share through ancillary spend. The critical implication here is that Voco Jeddah Gate is successfully monetizing the "service" aspect of the stay, not just the "space." By empowering Front Office agents to sell breakfast and early check-ins, the hotel is capturing revenue that might otherwise be lost to external competitors (e.g., a nearby café) or simply not realized. This aligns with the Theory of Revenue Management, specifically the component of optimizing non-room revenue. The impact of this is profound: it stabilizes the hotel's revenue. While room upgrades are dependent on inventory availability (which is finite and perishable), "Other Revenue" items like Late Check-out often have more flexibility. Therefore, the strategy at Voco Jeddah Gate appears to be robust because it does not rely on a single revenue source.

However, a critical analysis of Table 3.1 also reveals a potential missed opportunity. While the "1 Bedroom Suite" is the top single product for room upgrades, the fact that "Other Revenue" is higher overall might suggest that agents find it easier to sell low-ticket items (Breakfast at ~162 SAR) than high-ticket items (Suites at ~385 SAR). This could indicate a need for training on value-based selling, as described by Aryawan (2024), to increase the confidence of agents in pitching higher-priced room products. If the hotel relies too heavily on low-value transactions, they may be working harder (more transactions) for the same amount of revenue, impacting operational efficiency.

The results from Table 3.2 provide a compelling validation of Herzberg’s Two-Factor Motivation Theory in a practical setting. The distinct separation between Tier 3 and Tier 1 agents demonstrates that the "Motivators"—specifically the potential for achievement and financial recognition—are working effectively for the top performers. Ardiana et al. (2020) emphasize that financial incentives serve as a powerful method to boost Front Office performance. The Voco data supports this: Rayan Alarabi (Tier 3) generated over four times the revenue of Basil Althiyabi (Tier 1).

This finding corresponds with the research by Bardi (2011), who notes that the Front Office is a high-stress environment where motivation can easily wane without tangible rewards. The tiered structure at Voco Jeddah Gate creates a clear "gamification" of the workspace. Agents are not just working for a salary (a Hygiene Factor); they are competing to reach the 10% commission bracket (a Motivator). The data shows that the hotel is willing to pay a higher "Cost of Sale" (10%) for Tier 3 agents compared to Tier 1 (5%). Analytically, this is a sound investment. A 10% cost on SAR 11,000 (Rayan) yields SAR 9,900 in net profit, whereas a 5% cost on SAR 2,600 (Basil) yields only SAR 2,470. The "Impact" here is that the high commission rate for top performers justifies itself through volume.

However, the "Impact Evaluation" must also address the anomaly of Nasser Alasmari, who received a 36.3% payout efficiency. While the data notes this as a "Champion Incentive," a critical view suggests that such disparities can potentially cause friction or perceived inequity among the team if not transparently managed. Herzberg’s theory warns that if "Policy and Administration" (Hygiene factors) are perceived as unfair, it leads to dissatisfaction. If Tier 2 agents see a colleague receiving a 36% payout while they are capped at 7.5%, it could demotivate the mid-tier performers. Therefore, while the incentive system is effective for the top tier, its consistency and transparency are critical for long-term sustainability.

The operational trends identified in Table 3.3—specifically the preference for "1 Bedroom Suites" and "Weekend" transactions—offer deep insights into the guest psychology at Voco Jeddah Gate. This corresponds with Service Quality (SERVQUAL) Theory, particularly the dimension of Tangibles. Guests are willing to pay for the suite because the "Tangible" difference (space, separate living area) is clearly perceptible. Stefano et al. (2015) argue that for an upsell to be successful, the customer must perceive a gap between what they booked and what they are offered. The "1 Bedroom Suite" maximizes this gap, offering a clear value proposition.

Furthermore, the "Weekend" peak aligns with the findings of Cirer-Costa (2022) regarding leisure behavior. Leisure guests (Transient segment) are emotionally invested in their stay and are thus more open to enhancements that improve their experience. This connects to Customer Experience Management (CEM) theory. Murray et al. (2025) suggest that guests seek "memorable experiences" in luxury hotels. By upgrading to a suite on a weekend, the guest is actively managing their own experience to ensure it is memorable. The Front Office agents, by facilitating this (as seen in the high Tier 3 performance), are acting as experience architects.

The impact of the "2.2 Nights" average stay statistic is also critical. It suggests that "Psychological Distance" (Guillet & Mohammed, 2024) plays a role in pricing sensitivity. A guest staying for two nights calculates the upgrade cost as "manageable" (e.g., 200 SAR x 2 = 400 SAR). A guest staying for 10 nights would view the same daily upgrade as a significant capital expense (2000 SAR). This finding dictates that the upselling strategy must be dynamic; the hotel should perhaps offer "whole stay" fixed prices for long-stay guests rather than daily rates, to overcome the price resistance associated with longer durations.

In conclusion, the analysis of the Voco Jeddah Gate data reveals a sophisticated revenue ecosystem. The impact of these findings is threefold:

1. Financial: The hotel has successfully diversified risk by balancing room upgrades with high-volume ancillary sales (Breakfast), aligning with Total Revenue Management (Sharma, 2022).

2. Motivational: The tiered incentive system is a proven driver of high performance, validating Herzberg’s Motivation Theory (Ardiana et al., 2020), though the disparity in payout efficiencies (36% vs 5%) requires careful governance to maintain team equity.

3. Operational: The strategy is currently reactive to natural demand (Weekends/Transient), but the data suggests an opportunity to be more proactive. By understanding that "Tangibles" (Suites) drive room revenue and "Responsiveness" (Breakfast/Early Check-in) drives ancillary revenue, management can tailor training programs to specifically target these drivers based on the arrival list.

The results confirm that upselling at Voco Jeddah Gate is not a random occurrence but a predictable outcome of specific operational variables (Product, Agent, Time). This creates a solid foundation for the recommendations that will follow, ensuring that future strategies are not based on intuition, but on the hard evidence of product metrics and agent incentives.

4. Conclusion

This study embarked on a data-driven investigation into the mechanics of Front Office upselling at Voco Jeddah Gate, aiming to move beyond theoretical assumptions and anchor its findings in the empirical reality of daily hotel operations. The overriding objective was to optimize revenue streams by analyzing two critical datasets: product performance metrics and agent incentive records. The research was set against the backdrop of a rapidly evolving Saudi Arabian hospitality market, where Vision 2030 is driving intense competition and necessitating smarter revenue strategies. Through the formulation of three specific objectives—evaluating financial contributions, assessing agent efficacy, and identifying operational determinants—the study has successfully constructed a detailed profile of the upselling ecosystem at Voco Jeddah Gate.

The analysis confirms that the Front Office has transformed from a traditional service center into a robust revenue-generating unit. The total incremental revenue of over SAR 68,000 in a single month (November 2025) underscores the financial significance of this department. However, the composition of this revenue reveals a complex narrative. It is not merely about selling "better rooms" but about curating a "better stay" through a mix of tangibles (suites) and intangibles (breakfast, time). The study further illuminated the critical role of human capital, demonstrating that a well-structured, tiered incentive system is a potent driver of performance, albeit one that creates significant stratification within the workforce. The following sections distill these broad findings into specific lessons, actionable recommendations, and an honest assessment of limitations.

4.1. Lessons Learned

The investigation into Voco Jeddah Gate’s operations has yielded several profound lessons that extend beyond the specific context of this single property. These lessons offer a blueprint for understanding the interplay between product strategy, employee motivation, and guest behavior in the Saudi hotel sector.

The most striking lesson is the dominance of "Other Revenue" (54.5%) over traditional "Room Upsells" (45.5%). This finding challenges the conventional wisdom that the "Holy Grail" of upselling is always the suite upgrade. Instead, the data teaches us that small, high-frequency transactions—specifically breakfast sales—collectively outweigh the financial impact of larger, sporadic room upgrades. This phenomenon represents the "long tail" of revenue management: capturing small pockets of value from a large number of guests is a more stable and reliable revenue engine than relying solely on the high-value "whale" transactions. For Front Office Managers, the lesson is clear: do not neglect the ancillary products. A strategy that focuses exclusively on room upgrades leaves over half the potential revenue on the table.

The analysis of the "Agent Incentive" data provides a critical lesson in human resources management: financial motivation is not a linear function. The disparity between Tier 3 agents (generating ~11,000 SAR) and Tier 1 agents (generating ~2,600 SAR) teaches us that the "Pareto Principle" (80/20 rule) is alive and well in Front Office operations. A small percentage of the staff drives the vast majority of the revenue. The lesson here is that a "one-size-fits-all" training approach is inefficient. High performers (Tier 3) are driven by the "Motivators" of achievement and high commissions (10%), while low performers (Tier 1) seem stuck in the "Hygiene" phase, doing the bare minimum. The tiered system works to reward the best, but it also highlights a failure to elevate the bottom tier. Merely having an incentive plan is not enough; the structure of that plan must actively bridge the gap between tiers.

The operational data teaches us that upselling is not a game of luck; it is a game of probability. The clear preference for "1 Bedroom Suites" on "Weekends" by "Transient" guests reveals a highly predictable pattern of behavior. Guests are rational economic actors who weigh the value of an upgrade against the duration of their stay. The lesson learned is that the "2.2 Nights" average stay is a psychological threshold. Guests are willing to splurge for a short weekend but tighten their wallets for longer stays. This predictability implies that hotels can and should automate their targeting. Relying on an agent's intuition is less effective than relying on the hard data that says, "Target the transient guest arriving on Thursday for a 2-night stay."

4.2. Recommendations

Based on the empirical evidence and the lessons learned above, the following recommendations are proposed to optimize the upselling strategy at Voco Jeddah Gate. These are designed to be actionable, data-backed, and aligned with the "Total Revenue Management" approach.

To address the significant performance disparity between agent tiers, the hotel should implement a "Mentorship Bonus" program. The current gap creates a "winner-takes-all" environment where the hotel carries the cost of underperforming Tier 1 agents without maximizing their potential. By rewarding Tier 3 agents for every successful upsell made by a Tier 1 agent they mentor, the organization can foster knowledge transfer and team cohesion. Additionally, introducing a "Tier 1 Accelerator" would provide a higher commission percentage (e.g., 7% instead of 5%) on specific "easy-to-sell" items like Breakfast for the first three months of an agent's tenure. This lowers the barrier to entry, gives new agents a "taste" of the commission (Motivator), and builds the confidence required to eventually tackle harder room upgrades.

The data shows that the average upsell duration is short (2.2 nights), likely because the daily cost of upgrading becomes prohibitive for longer stays. To capture the lost revenue from long-stay guests, the hotel should create a "Long-Stay Upgrade Package" specifically for guests staying 4+ nights. Instead of a daily rate (e.g., 200 SAR/night), the hotel should offer a flat fee for the entire stay (e.g., "Upgrade to a Suite for your whole week for just 800 SAR"). This reduces the "perceived cost" for the guest while securing revenue that would otherwise be zero. This directly addresses the price resistance identified in the operational analysis and helps monetize unsold suite inventory during weekdays.

While "Other Revenue" is high, the "Room Upsell" category has a higher profit margin as there is no food cost associated with a room upgrade. The reliance on breakfast sales suggests agents are comfortable selling low-ticket items but may lack the confidence to pitch the high-ticket "1 Bedroom Suite." Therefore, management should conduct role-playing workshops specifically focused on the "1 Bedroom Suite." Training should move away from "transactional" language ("Would you like a suite for 200 SAR?") to "experiential" language ("For your weekend stay, we have a suite available that offers a separate living area, perfect for relaxing after your Umrah/shopping"). Agents should be equipped with "cheat sheets" that list the unique selling points (USPs) of the suite compared to the standard room, directly addressing the "Tangibles" dimension of SERVQUAL theory.

Revenue spikes on weekends, which is natural for Jeddah, but this leaves mid-week inventory underutilized. To combat this, the hotel should launch a "Mid-Week Madness" internal competition. By offering double points or a higher commission tier for room upgrades sold for Monday-Wednesday arrivals, management can focus the agent's attention on the hardest-to-sell days. By artificially inflating the "Motivator" (commission) for these specific days, management can drive behavioral change and smooth out the revenue curve, ensuring that the Front Office is actively pushing sales even when natural demand is lower.

4.3. Potential Constraints or Limitations

To maintain academic integrity and professional honesty, it is crucial to acknowledge the limitations that frame this study. Recognizing these constraints prevents over-generalization and points toward areas for future research.

The most significant limitation of this study is the reliance on transactional data as a proxy for satisfaction. The "Secondary Data Sources" provided (Excel files) contained revenue figures and agent names but lacked a "Guest Satisfaction Index" (GSI) or post-stay survey comments. While we can infer that a guest who voluntarily pays for an upgrade is satisfied with the value proposition, we cannot scientifically measure the impact of the upsell on their overall sentiment. It is possible that some guests felt "pressured" into an upgrade, which could negatively impact their long-term loyalty. The study assumes a positive correlation between upsell revenue and satisfaction (CEM theory), but without qualitative guest feedback, this remains a theoretical assumption rather than a proven fact.

The analysis is based on data from a single month (November 2025). While this provides a high-resolution snapshot of daily operations, it lacks longitudinal depth. November in Jeddah is a specific season (often cooler, potentially higher religious or business traffic). The findings regarding "Weekend peaks" or "Transient dominance" may not hold true during the summer months or during Ramadan. Therefore, the "Operational Determinants" identified should be viewed as seasonally specific. A full-year dataset would be required to validate whether these trends are permanent structural features of the hotel's market or merely seasonal fluctuations.

Finally, this is a case study of a single property: Voco Jeddah Gate. While the lessons are valuable, they are specific to this hotel’s brand standards, location, and physical inventory (e.g., availability of 1 Bedroom Suites). The results may not be directly transferable to a resort in the Red Sea Project or a budget hotel in Riyadh. The specific "Product Mix" (heavy on breakfast sales) is a function of Voco’s specific operational setup and may not apply to hotels where breakfast is inclusive for all guests. Thus, the recommendations should be adapted with caution when applied to different property types.

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