Optimizing User Experience: A Data-Driven Approach to Enhancing B2B Invoicing Efficiency across Multiple Platforms PT Pakar Digital Global

: This study is a deep dive into applying data-driven decision-making strategies to enhance user experience and efficiency in B2B invoicing across multiple platforms at Paper.id. Given the fintech industry's rapid evolution, maintaining a competitive edge requires constant innovation, particularly in user activation and retention within the first month of usage. This research employs a comprehensive data analysis framework, integrating Time Series Analysis, Descriptive Analysis, and Correlation Analysis methods to extract actionable insights from user data stored in MySQL databases. The study also incorporates strategic planning tools like SWOT and TOWS analysis to identify and implement UI/UX enhancements using the Agile Scrum methodology. The effectiveness of these interventions is evaluated through a robust post-analysis, comparing metrics before and after the implementation across mobile and desktop platforms. Results demonstrate a significant improvement in user activation and retention rates on mobile platforms, validating the efficacy of the applied strategies. This paper contributes valuable insights into optimizing user experience in a dynamic market, emphasizing a structured, iterative approach to achieving sustained user engagement and business growth.

This concept, derived from the work of Gill, Coffee Borden, and Hallgren, emphasizes the pivotal role of quality data in informed decision-making.The framework posits that effective decision-making is contingent on collecting, analyzing, and interpreting relevant data.Understanding how data-driven insights can be used to refine business strategies and operations is crucial, especially in areas like B2B invoicing, where efficiency and accuracy are paramount (Gill, B., Coffee Borden, B., & Hallgren, K., 2014).b.B. Data Resource MySQL, a relational database management system, is extensively used in data science to manage large datasets efficiently.It is particularly adept at handling data collection, cleaning, and analysis tasks.MySQL's ability to import data from various sources like CSV, XLS, XML, and more makes it a versatile tool for aggregating data, which is crucial in deriving meaningful insights from large and diverse datasets.The system's capabilities in cleaning and preparing data for analysis are pivotal in ensuring the accuracy and relevance of the data used in decision-making processes (Imarticus.org,2019).c.
C. Data Analytical and Visualization Data analytics and visualization, particularly through tools like Tableau, are instrumental in transforming raw data into meaningful insights.Tableau facilitates the graphical representation of data, making it easier to identify trends, outliers, and patterns.This simplification and visualization of data are crucial in conveying complex information in an understandable format, which is vital for stakeholders to make informed decisions (Tableau.com,2024; Analytics Vidhya, 2024).The process of deriving insights from data is well encapsulated by the "Data-Information-Knowledge-Wisdom" (DIKW) Pyramid theory, often attributed to Russell Ackoff.This model highlights the transformation of raw data into actionable insights and wisdom, crucial for informed decision-making in business contexts such as B2B invoicing systems (Ackoff, R. L., 1989).
The rapid digitization across various sectors has necessitated a robust theoretical examination of the methodologies and strategies that drive user activation and retention.This literature review critically examines existing theoretical models and empirical studies that underpin the processes and strategies employed in enhancing user experience in fintech platforms, such as those offered by Paper.id.By employing a systematic approach to the review, this section sets out to contextualize the research within the broader academic discourse, linking established theories and recent innovations in data-driven strategies.
The framework at the core of this research, illustrated in the provided conceptual diagram, delineates a structured process from data acquisition to actionable business strategies through agile methodologies.This approach is not merely procedural but is grounded in a deep theoretical understanding of data-driven decision-making, transforming raw data into valuable business insights.The review will address various components of this framework-ranging from data resource management and analysis techniques to strategic business analysis and agile implementation practices-drawing on seminal works and contemporary research in each area.
The theories and studies discussed here are instrumental in framing the research questions aimed at exploring the effectiveness of data-driven strategies in enhancing user activation and retention rates on digital platforms.This section informs the subsequent methodology by elucidating and linking the theoretical foundations with practical business solutions.It establishes the academic rigor necessary to understand these strategies' impact comprehensively.
Consequently, the literature review supports the development of hypotheses that are directly aligned with the research objectives, providing a clear pathway from theoretical inquiry to empirical investigation.These hypotheses will be meticulously crafted to test the relationships posited by the conceptual framework, ensuring that each element is examined for its role in enhancing the user experience and operational efficiency at Paper.id.

A. Time Series Analysis
This analysis is crucial for identifying trends and cyclic patterns in user engagement over time.It allows for examining data points indexed in time order, facilitating an understanding of how user behaviors evolve across different intervals.This method is particularly beneficial for forecasting and planning strategic interventions in user engagement practices (Chatfield, 2004).

B. Descriptive Analysis
Employing descriptive statistics provides a foundational understanding of the dataset, presenting quantitative insights into user interactions.This analysis helps depict the central tendencies and variability within the data, offering a snapshot of user behaviors and engagement levels.Such insights are instrumental in guiding immediate strategic adjustments and enhancing user interface designs (Black, 2019).

C. Correlation Analysis
This analysis assesses the strength and direction of relationships between different user engagement metrics.By determining correlation coefficients, this study identifies which variables are significantly associated with higher user activation and retention, guiding targeted improvements in platform features and functionalities (Field, 2013).

D. SWOT Analysis
A SWOT analysis provides a structured method to assess internal strengths and weaknesses against external opportunities and threats, offering strategic insights essential for maintaining competitive advantage in the fintech sector.This analysis is foundational for strategic planning and resource allocation (Helms & Nixon, 2010).

E. TOWS Analysis
Building on SWOT, TOWS analysis facilitates the development of specific strategies that capitalize on identified opportunities while mitigating threats.This analytical approach ensures that the strategic actions are informed by the company's internal capabilities and external market conditions, promoting sustained improvements in user experience and operational effectiveness (Weihrich, 1982).
Each technique in the methodology is purposefully selected to support a comprehensive approach toward enhancing user activation and retention on Paper.idplatforms.This research lays down a methodical framework for informed decision-making and strategic development by combining robust data analysis with strategic business planning.

IV. RESULTS
This chapter delineates the empirical findings of the investigation into enhancing user experience at Paper.id through data-driven decision-making.Structured into two primary subsections, the chapter first addresses the Analysis results, where various data analysis methodologies were applied to understand user engagement trends.Subsequently, it explores the Business Solutions derived from strategic analyses implemented to leverage these insights into actionable improvements.
Analysis serves as the groundwork, employing Time Series, Descriptive, and Correlation Analyses to unearth pivotal patterns and relationships in user data.This analysis is instrumental in revealing the dynamics of user activation and retention, critical metrics for the platform's ongoing enhancement initiatives.
Business Solutions articulates strategic adaptations based on analytical insights.Utilizing SWOT and TOWS analyses, this segment crafts a roadmap of strategic initiatives tailored to bolster Paper.id market position by capitalizing on identified strengths and opportunities while mitigating risks and weaknesses.

A. Analysis
The Analysis phase leveraged sophisticated statistical tools to parse through extensive user data, resulting in detailed temporal and descriptive insights.The results are depicted in several key figures.
The analysis is instrumental in setting the stage for the subsequent chapters, where insights derived from this phase will guide the development of targeted solutions, their implementation, and the evaluation of their effectiveness.By meticulously analyzing the data through various lenses-Time Series Analysis, Descriptive Analysis, and Correlation Analysis-we aim to construct a detailed picture of the factors influencing user engagement and retention.Each of these analytical techniques brings a unique perspective to our understanding of the data: • Time Series Analysis allows us to observe trends over time, identifying seasonal effects or cyclic patterns that impact user behavior.This analysis is crucial for forecasting future trends and preparing strategies that align with these predictions.• Descriptive Analysis provides a snapshot of our current data landscape, offering insights into central tendencies, variability, and data distribution.This foundational analysis helps pinpoint areas where user engagement may need to meet expected standards or where potential opportunities for enhancement exist.• Correlation Analysis explores the relationships between different variables within our datasets, such as the link between user activity levels and retention rates.Understanding these relationships helps pinpoint leverage points that can significantly influence overall user satisfaction and engagement.Integrating these analytical methods ensures a comprehensive understanding of Paper's operational dynamics.id.It helps identify the problems, such as particular times or user segments with unusually low activation or retention rates.It sets a precedent for data-informed decision-making that can dynamically influence the company's strategic directions.
This subchapter not only seeks to address the "what" and "when" of the issues but also lays a robust groundwork for the "why" and "how" aspects that will be explored in the subsequent phases of solution development, implementation, and validation.Through this thorough analytical approach, we aspire to transition from insight to action, ensuring that each step is grounded in solid empirical evidence and contributes meaningfully to enhancing user experience and operational efficiency at Paper.id.

Time Series Analysis
The Time Series Analysis delves into the trends observed in Paper.idactivation and retention rates for desktop and mobile users, utilizing several graphical and tabular datasets to inform the discussion.The data table for desktop users from January to May 2023 shows steady growth in total users and increased activation rates, suggesting effective initial user engagement strategies.However, retention rates follow different upward trends, indicating potential challenges in sustaining user interest over time.This discrepancy highlights a critical area for further investigation and strategy development to enhance long-term user engagement.The corresponding graph illustrates the upward trajectory in total user and activation numbers, visually emphasizing successful marketing or product improvements.However, the retention line dips, reinforcing concerns about the platform's ability to maintain long-term user relationships.This visual representation points out the need for interventions to improve user experience and satisfaction after the initial activation phase.This dataset presents a clear rise in activation rates across the months, contrasting with a steady decrease in retention rates.The increasing activation rates are encouraging, signaling effective acquisition strategies.However, the falling retention rates from January to May call for a strategic overhaul to address the factors contributing to user drop-off.

Figure 4-2 Graph User Activation Rate and Retention Rate for Desktop
The graph diverges between rising activation rates and falling retention rates, visually capturing the urgent need for strategies that attract users and retain them effectively.This suggests the potential effectiveness of enhancing the onboarding process, continuous user engagement, and introducing more personalized user experiences.Observations from the mobile platform data show increased user numbers, with a peak in March indicating a successful campaign or feature release.Despite high activation rates, retention figures still need to mirror this success, suggesting mobile-specific challenges that might be addressed through platform-specific features or mobile user engagement strategies.

Figure 4-3 Graph Total User, Activation and Retention for Mobile
The graph for mobile platforms shows a promising increase in total users and activation but also highlights a significant retention drop in the third month.This trend underscores the importance of ongoing engagement and the necessity of mobile-optimized strategies to ensure sustained user interest and interaction on the platform.This data table displays mobile users' activation and retention rates from January to May 2023.Throughout these months, there is a noticeable improvement in the activation rates, rising from 78.55% in January to 91.58% in May.This increase signifies that initial marketing strategies or platform features effectively attract mobile users and encourage them to engage with the platform.However, the retention rates tell a different story, showing a general decline from 33.68% in January to 24.94% by May.This decrease in retention rates suggests that while users are initially interested and activate their platform usage, maintaining their interest over time proves challenging.The decline could be due to unmet user expectations, lack of engaging content, or insufficient value from mobile services post-activation.This pattern indicates a critical need for strategic enhancements to attract and retain users by improving user support, enriching content quality, or optimizing the overall user experience to better meet their long-term needs and preferences.

Figure 4-4 Graph User Activation Rate and Retention Rate for Desktop
The final graph shows a gradual improvement in activation rates against declining retention rates, further emphasizing the critical need for enhanced post-activation engagement strategies.This pattern calls for a comprehensive review of how users interact with the mobile platform post-activation and what might be improved to enhance their long-term experience and satisfaction.
The Time Series Analysis for both the desktop and mobile platforms at Paper.id has revealed crucial insights into user activation and retention trends over a selected period.This analysis is the first of three analytical approaches, with Descriptive and Correlation analyses yet to be conducted.
The key findings for activation rates are that both platforms exhibited robust increases in user activation rates over the five months.This indicates that initial engagement strategies are effectively attracting new users.The mobile platform, in particular, showed a notable improvement in activation rates, suggesting that recent initiatives or features targeting mobile users are resonating well.Furthermore, key findings for retention rates are that despite successfully activating new users, both platforms need help with retention.Retention rates have clearly and consistently declined, signaling potential issues in maintaining user interest and engagement beyond the initial interaction.This trend raises concerns about the long-term value and engagement strategies.
The implications findings from the Time Series Analysis highlight a critical gap between initial user activation and ongoing retention.This gap suggests that while users are drawn to the platform, sustaining their interest poses a challenge, possibly due to unmet expectations or insufficient engagement mechanisms.
This analysis sets the stage for the subsequent Descriptive and Correlation Analyses.By examining the data in more detail and exploring the relationships between different user engagement metrics, we aim to uncover deeper insights into why these trends are occurring and how they can be addressed to improve user acquisition and retention strategies at Paper.id.

Descriptive Analysis
The Descriptive Series Analysis delves into the trends observed in Paper.idactivation and retention rates for desktop and mobile users, utilizing tabular datasets to inform the discussion.The statistical data for the desktop platform reveals that the mean number of activations is 9,557.20,with a higher median at 11,079, indicating a right-skewed distribution, which suggests that while some months may experience very high activations, the typical month has fewer activations.The standard deviation is substantial at 3,867.00, reflecting significant monthly activity variability.Activation rates have a mean of 55.15% and a slightly higher median of 58.44%, indicating a consistent performance with a slight tendency towards higher rates in some months.The Descriptive Analysis for both the desktop and mobile platforms at Paper.id highlights a clear pattern: while activation strategies effectively attract users, particularly on mobile, retention strategies could be more successful in maintaining user engagement.This discrepancy between high activation rates and low retention rates across both platforms suggests a critical need for further investigation into the factors affecting user retention.This sets the stage for the upcoming Correlation Analysis, which will delve deeper into the relationships between various engagement metrics to pinpoint potential drivers behind the observed trends in user activation and retention.This next analysis phase will be crucial in formulating strategies to enhance initial engagement and long-term user retention.The desktop platform's correlation analysis reveals a strong positive correlation between activation and retention numbers, as reflected by a correlation coefficient 0.91.This robust relationship is visually represented in Figure 4-12, which displays a scatter plot with a fitted line showing a pronounced upward trend.This graph illustrates that increases in activation numbers are closely linked to increases in retention numbers, suggesting that higher user activations effectively contribute to higher user retention.The covariance value of 1,364,491.96supports this finding, indicating a significant shared variance between the two variables, which emphasizes the strength of their relationship.

Desktop
The tightly clustered data points around the fitted line in the scatter plot further confirm that activation numbers are a reliable predictor of retention outcomes.This analysis underscores the importance of activation strategiespotentially those enhancing user experience or engagement-as they seem to translate directly into sustained user interest and activity.By improving aspects that affect user activation, Paper.idcan reasonably expect parallel improvements in retention rates, thereby bolstering overall user engagement and satisfaction on the desktop platform.This direct linkage provides a strategic foundation for targeting interventions to boost long-term user engagement, which is essential for the platform's success.This graph illustrates that the strategies to enhance mobile device activations translate into higher retention rates.The tight clustering of data points around the line suggests that mobile activations are a reliable predictor of retention outcomes, implying that mobile engagement strategies are particularly effective.Given the higher correlation value compared to desktop, mobile users' engagement may be more predictable and consistent due to the mobile platform's user experience optimizations or tailored mobile-centric features.
The high correlation and strong visual alignment of the data reinforce the importance of focusing on mobile activation strategies as a lever to boost overall user retention.This insight is critical for Paper.idstrategic planning, as it underscores the effectiveness of mobile-specific initiatives in driving sustained user engagement and retention.
The comprehensive analyses conducted in this subchapter-Time Series, Descriptive, and Correlation-have provided valuable insights into the patterns and relationships inherent in Paper.iduser engagement data focused on activation and retention metrics across desktop and mobile platforms.The findings from these analyses strongly suggest a strategic emphasis on enhancing the mobile platform to optimize both activation and retention.
The Time Series Analysis highlighted a consistent increase in activation rates across both platforms, with mobile showing a particularly strong upward trend.However, it was noted that retention rates did not correspondingly increase, suggesting a disconnect between initial engagement and sustained user activity.The Descriptive Analysis further reinforced these findings by demonstrating more stable and predictable activation and retention rates on mobile, compared to desktop.
Most compellingly, the Correlation Analysis revealed a significantly stronger correlation between activation and retention numbers on the mobile platform, with a correlation coefficient of 0.96, compared to 0.91 on the desktop.This robust correlation, combined with the close clustering of data points in the mobile scatter plot, underscores mobile activation strategies' effectiveness in driving retention rates.The analysis suggests that mobile activations are more impactful and predictable, making them a reliable lever for boosting overall user retention.
Given these findings, it is strategically prudent for Paper.id to focus on increasing activation and retention, specifically on the mobile platform.By leveraging the insights from these analyses and enhancing mobile user engagement and satisfaction, Paper.idcan more effectively convert initial activations into sustained user retention.This targeted approach will likely yield better returns on investment and strengthen the company's position in a competitive market by directly addressing the dynamics that most significantly impact user behavior and platform performance.

e. B. Business Solution
Following the in-depth analyses conducted in the preceding chapter, which highlighted critical insights into the user engagement metrics on Paper.id'smobile and desktop platforms, it becomes imperative to develop strategic solutions that address the identified challenges and harness the opportunities for growth and improvement.This subchapter aims to delineate a clear and actionable business solution strategy that integrates technical agility and strategic management frameworks to enhance user activation and retention effectively.In response to the findings that underscored a significant potential in optimizing mobile platform engagement, this subchapter will introduce a dual-framework approach that combines SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis and TOWS matrix to strategize from a macro-level and Scrum methodology to operationalize these strategies into tangible results.This hybrid approach ensures that strategic planning is reflective, comprehensive, adaptable, and responsive to real-time feedback and iterative learning.The SWOT analysis will first provide a foundational understanding of Paper.id'sinternal capabilities and external market positioning.This analysis will help identify the strengths that can be leveraged and weaknesses that need urgent addressing.Concurrently, it will explore external opportunities that can be tapped and threats that must be mitigated to ensure the robustness of the mobile platform's market presence.Building on the insights derived from the SWOT analysis, the TOWS matrix will directly link these insights to strategic action items, ensuring that each strength, weakness, opportunity, and threat is actively considered in planning business activities.This strategic alignment ensures that every potential angle is explored for enhancing user engagement and retention.Subsequently, the Scrum methodology will be introduced as the operational backbone of our implementation strategy.This section will outline how Scrum's flexible, iterative process of two-week sprints over a six-month timeline will implement, review, and refine the initiatives identified in the TOWS matrix.This approach allows for rapid prototyping, testing, and iteration, which is crucial in the fast-evolving tech landscape.

SWOT Analysis
Following the comprehensive pre-analysis in the previous subchapter, we now transition to strategically addressing the identified challenges and opportunities for Paper.id.Suitable strategies can be developed using the SWOT analysis as a foundation (Weihrich & Koontz, 2005), examining the internal strengths and weaknesses of Paper.id operations alongside the external opportunities and threats that influence its market position.
In this segment, we will scrutinize Paper.idinvoicing, payment processing, and financing solutions to unearth actionable insights that can guide the development of robust business strategies.By aligning our findings from the SWOT analysis with the strategic imperatives identified earlier, we aim to craft targeted initiatives that leverage Paper.idcapabilities while mitigating its vulnerabilities.
This analysis sets the groundwork for the forthcoming TOWS matrix, where we will translate these insights into concrete strategic actions.

Strengths:
• Comprehensive Product Suite: Paper.idoffers a robust range of products that cover significant aspects of B2B invoicing and payments.Creating and sending unlimited invoices via multiple channels (SMS, WhatsApp, Email) integrated with bookkeeping and stock management provides a strong competitive edge.
• Versatile Payment Solutions: The platform supports various payment methods, including credit cards, bank transfers, e-wallets, and integration with marketplaces, making it highly adaptable to different business needs and preferences.• Enhanced Financing Options: Paper.idallows businesses to control payment terms, facilitating faster invoice payments or flexible supplier payments.Financing Options improve cash flow and enhance the service's attractiveness as more suppliers and buyers use it.• Strong Technical Foundation: Paper.idboasts a robust technological infrastructure that supports a versatile range of financial services, providing a solid foundation for integrating advanced UI/UX enhancements.• Existing User Base: The platform already has a substantial user base, which provides immediate feedback loops for UI/UX improvements and direct insights into user preferences and pain points.

Weaknesses:
• Complex User Interface: Current user feedback suggests that the platform's interface is complex and challenging to navigate, especially for new or less tech-savvy users.• Inconsistent User Experience Across Devices: There may be discrepancies in the user experience between different devices, leading to a fragmented brand perception and user dissatisfaction.• Dependency on Network Effects: The financing solution's value proposition partially depends on having a large network of suppliers and buyers, creating a dependency where the solution's effectiveness grows with the network, which can be a slow process.• Market Competition: Paper.idoperates in highly competitive segments, with established players like Accurate invoicing and various well-known payment gateways.Differentiating effectively in such a crowded market can be challenging.

Opportunities: • Expansion of Digital Payment Systems:
There is a growing trend and acceptance of digital payments and financial technology solutions.Paper.idcan capitalize on this shift by expanding its payment solutions and integrating more features that cater to this digital transformation.

Threats:
• Regulatory Changes: Financial services are highly regulated, and changes in regulations could impact the way Paper.idoperates, especially in different international markets.• Rapid Technological Change: The pace of technology change can quickly make current designs obsolete, requiring constant updates and adaptations to keep up with user expectations and industry standards.• Competitive Pressure from More User-Friendly Platforms: Competitors with easier-to-use interfaces may attract users away from Paper.id, especially if these platforms offer similar functionalities but with better user experience.
This SWOT analysis provides a structured overview of the internal and external factors that could impact Paper.idbusiness strategy.Understanding these elements will help craft strategies that leverage strengths, mitigate weaknesses, capitalize on opportunities, and guard against threats.This foundation is essential for the subsequent TOWS analysis and the agile implementation plan using Scrum methodology.

TOWS Analysis
The TOWS analysis builds upon the SWOT analysis to derive strategic actions by matching external opportunities and threats with internal strengths and weaknesses.The TOWS matrix integrates the internal strengths and weaknesses identified in the SWOT analysis with the external opportunities and threats to formulate four distinct strategy types: SO (Strengths-Opportunities), WO (Weaknesses-Opportunities), ST (Strengths-Threats), and WT (Weaknesses-Threats) (Ilyas et al., 2023, p. 176).Here is how Paper.id can strategize to maximize its capabilities and market potential:

SO (Strengths-Opportunities) Strategies
• Leverage Robust Mobile Platform Capabilities: Use the existing strong mobile platform as a base to introduce advanced UI/UX features that enhance user interactions and functionality, capitalizing on the growing market trend towards mobile-first solutions.• Expand User Engagement: Integrate cutting-edge design trends and usability features that improve user engagement, taking advantage of Paper.id'sstrengths in versatile payment solutions to offer a seamless user experience that stands out in the digital payments and invoicing market.

WO (Weaknesses-Opportunities) Strategies
• Address Complexity with Simplified Design: Simplify the user interface to address the complexity currently experienced by users.Use this redesign to make the platform more accessible and easier to navigate, thus appealing to a broader audience, including less tech-savvy users.• Enhance User Experience to Foster Adoption: Utilize the opportunity presented by digital transformation trends to overhaul the user experience, making it more intuitive and engaging.This strategy aims to convert first-time users into regular users by reducing friction points in the user journey.

Figure 2 - 1
Figure 2-1 An Guide of Conceptual Framework From "A Conceptual Framework for DataDriven Decision Making" By Brian Gill, Brandon Coffee Borden, and Kristin Hallgren

Figure 4 - 1
Figure 4-1 Graph Total User, Activation and Retention for Desktop

Figure 4 - 5
Figure 4-5 Scatter Plot with Fitted Line for Desktop

Figure 4 -
Figure 4-16 Correlation and Covariance for Mobile Like it's desktop counterpart, the correlation analysis for the mobile platform, as shown in Figure 4-13, demonstrates a strong positive correlation between activation numbers and retention numbers, highlighted by a correlation coefficient of 0.96.The data is visually represented by a scatter plot with a fitted line that shows a distinct upward trajectory, illustrating that increases in activation numbers are closely associated with increases in retention numbers.The data points on the plot are closely aligned along the green line, indicating a very high degree of linear relationship between the variables.The covariance value of 113,699.88 supports the strength of this relationship, pointing to a substantial shared variance between activation and retention numbers on the mobile platform.

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Growing Demand for Intuitive Digital Solutions: A significant market trend towards user-friendly and visually appealing digital solutions exists.Revamping the UI/UX allows one to meet this demand and attract a broader audience.• Strategic Partnerships and Integrations: Paper.id can enhance its offerings and embed its services deeper into business workflows by forming partnerships with banks, financial institutions, and government bodies.• Advancements in UI/UX Design Technologies: New technologies and tools in design can be leveraged to create more engaging and efficient user interfaces, providing opportunities to innovate and stay ahead of the competition.

Table 4 -4 User Activation Rate and Retention Rate for Mobile
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Table 4 -6 Mean, Median and Standard Deviation for Activation, Activation Rate, Retention and Retention Rate for Mobile
For the mobile platform, the mean activation of 1,928.20 with a standard deviation of 734.13 indicates more consistent activation figures than the desktop, with a median of 2,000 suggesting a relatively symmetric distribution of activations.Activation rates are notably higher, with an average of 88.13% and a median of 90.97%, reflecting more effective initial engagement strategies on mobile devices.However, retention figures are considerably lower, with a mean of 500.60 and a standard deviation of 161.51, indicating a significant drop-off in user engagement post-activation.The retention rate averages 27.11%, with a median slightly lower at 25.98%, indicating a recurring issue in converting initial mobile engagements into sustained usage.

Table 4 -7 Correlation and Covariance for Desktop
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