Author: Likhapha Mpepe

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: SayPro Classified Marketing Strategy Analyst
Department: SayPro Classified Office
Reports To: SayPro Marketing Director
Location: Remote or On-site at SayPro Headquarters

Overview: The SayPro Classified Marketing Strategy Analyst will work closely with the SayPro Classified Office to enhance the effectiveness of our classified ad platform. This role involves analyzing data derived from SayPro Monthly January SCMR-5 and implementing targeted adjustments to improve ad placement, layout, and user targeting. You will be responsible for working within the parameters of the SayPro Marketing Royalty SCMR, applying insights to boost engagement, streamline user experience, and increase overall user satisfaction with the classified ad platform.

Key Responsibilities:

1. Data Analysis & Insights Interpretation:
   • Analyze the user behavior and engagement metrics from SayPro Monthly January SCMR-5, which includes key performance indicators such as click-through rates (CTR), time spent on ads, bounce rates, and conversion rates.
   • Leverage the data to identify patterns, trends, and pain points in the ad placement, layout, and overall user engagement.
   • Work with the SayPro Marketing Team to translate raw data into actionable recommendations that will impact ad performance and user satisfaction.
2. Recommendations for Ad Placement & Layout Optimization:
   • Based on user insights from the analysis, propose changes in ad placement to ensure high visibility and relevance to users.
   • Recommend adjustments to ad layout to improve aesthetics, functionality, and the ease of ad discovery by users.
   • Collaborate with the design and development teams to implement these layout changes, ensuring they are both visually appealing and functional.
   • Test ad placement variations to determine the most effective configurations for maximizing user interaction.
3. User Targeting Strategy Adjustments:
   • Refine user targeting strategies based on engagement metrics, segmenting users based on factors such as demographics, browsing history, purchase behavior, and geographic location.
   • Propose new targeting methods or campaigns to better reach key user segments and improve user acquisition and retention.
   • Implement tracking and A/B testing on various targeting strategies to continuously optimize user outreach.
4. Strategy Implementation and Monitoring:
   • Work with the SayPro Classified Office and SayPro Marketing to implement approved strategy changes across all relevant platforms, ensuring seamless integration of new ad placements, layouts, and targeting methods.
   • Monitor post-implementation performance, tracking key metrics to assess the effectiveness of the strategy changes.
   • Provide ongoing reports to the SayPro Marketing Team, including insights into the effectiveness of changes and suggestions for further optimization.
5. Collaboration with Cross-functional Teams:
   • Partner with Product, Design, Development, and Data Science teams to ensure that ad layout and placement changes align with the broader platform goals.
   • Coordinate with the Customer Support and Sales teams to gather user feedback and adjust strategies accordingly.
   • Work with the marketing team to ensure that any changes align with the overall brand messaging and marketing initiatives.
6. Reporting and Documentation:
   • Maintain detailed documentation of the recommendations, strategy adjustments, and results from SayPro Monthly January SCMR-5 analysis.
   • Create regular reports that highlight the performance of implemented changes, providing transparency and insights to upper management.
   • Regularly update the SayPro Classified Office on the status of ongoing projects and results from targeted adjustments.

Skills and Qualifications:

• Educational Background: Bachelor’s degree in Marketing, Data Analytics, Business Administration, or a related field.
• Experience: Minimum of 2-3 years in a marketing strategy or analytics role, with a focus on digital ad platforms, user behavior analysis, and user engagement optimization.
• Technical Skills: Proficiency with Google Analytics, data analysis tools (such as Tableau, Power BI, or similar), A/B testing platforms, CRM software, and ad placement tools.
• Problem-Solving Abilities: Ability to identify issues within user engagement metrics and devise effective strategies for resolution.
• Communication Skills: Strong written and verbal communication skills, with the ability to present data-driven insights in an understandable and actionable manner.
• Project Management: Ability to work on multiple projects simultaneously, adhering to deadlines and managing stakeholder expectations.

Key Performance Indicators (KPIs):

• Increased ad click-through rates (CTR)
• Improved user engagement (e.g., time spent on ads, interaction rates)
• Higher conversion rates from classified ads
• Successful implementation of layout and placement changes
• Positive user feedback and satisfaction with classified ad functionality
• Efficiency in meeting deadlines for strategy adjustments

Compensation and Benefits:

• Competitive salary and performance-based bonuses
• Health, dental, and vision insurance options
• 401(k) retirement plan with employer matching
• Professional development and career growth opportunities
• Flexible work environment (remote or hybrid options)

Application Instructions: To apply for the SayPro Classified Marketing Strategy Analyst position, please submit your resume along with a cover letter detailing your experience with digital marketing, data analysis, and ad optimization strategies.

This role is crucial for improving the effectiveness and efficiency of SayPro Classifieds, ensuring that user engagement and overall ad performance are continuously enhanced through data-driven decisions.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Classified Ads Strategy and Insights Analyst

Department: SayPro Marketing and Classified Office

Reporting to: SayPro Marketing Director / Classified Ads Manager

Position Overview:

As a Classified Ads Strategy and Insights Analyst, the employee will be responsible for reviewing and analyzing user behavior and engagement metrics within the classified ads section of the SayPro platform. This includes leveraging data gathered from the SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights reports to provide actionable recommendations and strategy adjustments to optimize the user experience and engagement. The employee will collaborate closely with marketing and operations teams to implement these strategies, focusing on driving engagement, increasing user retention, and enhancing overall performance.

Key Responsibilities:

1. Data Analysis and Insights Generation:
   • Analyze the SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights reports to understand user behavior, including trends in views, clicks, conversions, and other relevant metrics in the classified ads section.
   • Identify patterns and anomalies in user engagement to determine areas of improvement or potential growth.
   • Perform cohort analysis to assess engagement over time, focusing on user retention, repeat visits, and ad interaction.
   • Compare monthly performance data with historical data to measure the impact of past strategy changes.
2. Recommendations for Optimizing User Engagement:
   • Provide actionable insights on how to improve user engagement within the classified ads section.
   • Recommend adjustments to ad placement, layout, content, and navigation to improve user experience.
   • Suggest improvements to the ad submission process to reduce friction and increase conversion rates (e.g., making the submission form easier or more intuitive).
   • Propose targeted content strategies based on user preferences and trending categories to increase visibility and relevance of classified ads.
   • Recommend enhancements for mobile users, ensuring the mobile experience is optimized for classified ad browsing and submission.
3. Segmentation and Personalization:
   • Based on the data analysis, propose strategies for personalizing the user experience in the classified section (e.g., personalized ad recommendations, geo-targeted ads, etc.).
   • Collaborate with the product and marketing teams to implement audience segmentation strategies, targeting high-value or underperforming segments.
   • Use user demographic data, behavioral data, and geographic data to suggest customized strategies for different user groups.
4. Strategy Adjustment and Campaign Optimization:
   • Suggest improvements to existing marketing and ad campaign strategies based on data analysis, ensuring that ads are reaching the right audience and achieving optimal performance.
   • Recommend budget adjustments for paid campaigns based on classified ad performance, ROI, and conversion rates.
   • Work with the marketing team to develop A/B testing strategies for classified ads (e.g., testing different headlines, ad copy, and visuals) to determine what resonates best with users.
   • Track the performance of ads and offer adjustments to campaigns based on user feedback, conversion rates, and engagement trends.
5. Collaboration and Reporting:
   • Collaborate with the SayPro Classified Office and other departments (e.g., sales, marketing, customer support) to ensure all team members are aligned on insights and strategies for optimizing the classified ads section.
   • Create clear and actionable reports to present findings to senior management, detailing insights, performance metrics, and strategic recommendations.
   • Participate in strategy meetings with key stakeholders to align objectives and KPIs with the classified ads section’s goals.
6. Continuous Monitoring and Feedback Loop:
   • Monitor ongoing performance metrics in real time to assess the effectiveness of the implemented strategies.
   • Collect and analyze user feedback and surveys regarding the classified ads section to understand pain points and areas for improvement.
   • Adjust recommendations as needed based on evolving user preferences, engagement trends, or market conditions.
7. Competitor Benchmarking:
   • Regularly analyze competitors’ classified ad sections and overall strategy to identify industry trends, gaps, and best practices.
   • Use competitor data to inform strategy recommendations and keep SayPro’s classified section competitive within the market.

Key Skills and Qualifications:

• Data Analysis: Proficient in data analysis tools (e.g., Google Analytics, Tableau, SQL) to analyze user engagement and behavior.
• Marketing Strategy: Strong understanding of digital marketing strategies, particularly for classified ads, and ability to implement insights into actionable recommendations.
• SEO and Content Strategy: Knowledge of SEO best practices to optimize classified ads for search engines, ensuring better visibility and engagement.
• Communication: Excellent communication skills, both written and verbal, to present complex data insights in a clear and actionable manner.
• Project Management: Ability to work independently and manage multiple projects with cross-functional teams to implement strategies effectively.
• Problem-Solving: Strong critical thinking and problem-solving skills to address challenges related to user engagement and classified ad performance.
• Experience: Prior experience in digital marketing, data analytics, or a related field, with a focus on classified ads or e-commerce platforms, is preferred.
• Attention to Detail: Strong attention to detail, ensuring data accuracy and precision in analysis and recommendations.

Desired Outcomes:

• Increased User Engagement: Actionable insights and strategies that lead to an increase in user interaction with classified ads, as measured by key performance metrics (e.g., clicks, conversions, time spent).
• Improved Conversion Rates: Recommendations that result in higher conversion rates for classified ad submissions and transactions.
• Enhanced User Experience: Improved user satisfaction and retention rates through data-driven optimizations in the classified ad section.
• Efficient Marketing Campaigns: More effective and targeted marketing campaigns based on data analysis, resulting in higher ROI and more effective ad placement.

Working Conditions:

• Location: Hybrid/Remote with occasional in-office meetings
• Hours: Full-time (Monday to Friday, with flexibility for extended hours as needed during peak times)

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This job description aligns with SayPro’s objectives for optimizing classified ads, focusing on leveraging data insights to adjust strategies and improve user engagement across the platform. The role is critical in ensuring that the classified section remains relevant, user-friendly, and competitive.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Report Generation Specialist
Department: SayPro Classified Office / SayPro Marketing Royalty Team
Reports To: SayPro Marketing Royalty Manager
Location: Remote / Office-Based (Specify Location)

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Job Overview:

The Report Generation Specialist will be responsible for providing key monthly reports to the SayPro Classified Office and the SayPro Marketing Royalty team. The reports will focus on the analysis of user behavior and engagement metrics for the SayPro Monthly January SCMR-5, specifically regarding the SayPro Monthly Classified User Insights. The role requires expertise in data analysis, the ability to track user interactions, and proficiency in reporting tools to offer valuable insights that drive decision-making processes for the marketing and classified teams.

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Key Responsibilities:

1. Monthly Report Preparation
   • Generate comprehensive monthly reports based on data from the SayPro Monthly January SCMR-5, specifically focusing on user insights related to the classified platform.
   • Work closely with the SayPro Classified Office and SayPro Marketing Royalty teams to identify key metrics and KPIs relevant to the report.
   • Collaborate with the marketing team to ensure that insights align with ongoing marketing strategies and objectives.
2. Data Collection and Analysis
   • Collect, analyze, and interpret data on user behavior, engagement, and interaction within the SayPro Classified platform.
   • Monitor and report on trends, anomalies, and patterns in user activity, ensuring the reports are accurate and data-driven.
   • Use analytics tools (such as Google Analytics, internal analytics platforms, or other reporting software) to track key performance indicators (KPIs) related to classified ads, user sign-ups, and ad engagement.
3. Report Writing and Presentation
   • Create clear, concise, and actionable reports with visualizations (charts, graphs, tables) to help stakeholders understand the insights.
   • Provide in-depth analysis and summaries, highlighting significant insights such as user engagement rates, the performance of specific ad categories, and the effectiveness of any marketing initiatives.
   • Present findings to the SayPro Classified Office and SayPro Marketing Royalty team in a format that supports strategic decision-making.
4. Collaboration and Communication
   • Regularly meet with the SayPro Marketing Royalty team to review report findings and discuss any adjustments needed in future data collection or reporting processes.
   • Act as a liaison between the SayPro Classified Office and Marketing Royalty teams to ensure that all reports meet the necessary standards and deliver relevant insights.
   • Communicate effectively with cross-functional teams to understand reporting requirements and ensure alignment with business goals.
5. Recommendations and Actionable Insights
   • Provide recommendations for improving user engagement and behavior on the platform based on data findings.
   • Assist in the identification of opportunities to optimize classified ad strategies, user acquisition, and retention tactics.
   • Suggest adjustments or changes to marketing strategies based on the findings of monthly reports.
6. Continual Improvement
   • Proactively identify areas for improving data collection processes and reporting techniques to enhance the quality and efficiency of monthly reports.
   • Stay updated with trends in analytics, user behavior research, and reporting tools to ensure the reports remain relevant and accurate.

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Skills and Qualifications:

• Educational Background: Bachelor’s degree in Marketing, Data Analytics, Business Administration, or a related field.
• Experience:
  • Minimum of 2-3 years of experience in report generation, data analysis, or marketing analytics.
  • Experience working with analytics tools (e.g., Google Analytics, Tableau, Excel, etc.).
  • Experience in the classified ad industry or digital marketing is a plus.
• Technical Skills:
  • Strong proficiency in Microsoft Excel or Google Sheets, with advanced knowledge of pivot tables, VLOOKUP, and other data manipulation tools.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Understanding of SEO, SEM, and user engagement metrics.
• Analytical Mindset: Ability to analyze complex data sets and extract actionable insights.
• Communication Skills: Strong written and verbal communication skills, with the ability to present complex data in a clear and concise manner.
• Attention to Detail: High attention to detail to ensure accuracy and consistency in report generation.

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Key Performance Indicators (KPIs):

• Accuracy and timeliness of monthly report submissions.
• Quality and clarity of insights and recommendations in reports.
• Improvement in user engagement based on the insights provided.
• Collaboration effectiveness with the SayPro Classified Office and Marketing Royalty teams.

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Working Conditions:

• Hours: Full-time, Monday to Friday.
• Location: Hybrid/Remote work options available.
• Tools and Resources: Access to the necessary software and tools for data analysis and reporting.

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Application Instructions:

Please submit your resume and cover letter outlining your relevant experience and skills related to the role of Report Generation Specialist at SayPro. Applications can be sent to the HR department at [email@example.com].

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This job description outlines the key responsibilities and qualifications for the Report Generation Specialist position and emphasizes the importance of timely, accurate, and insightful reporting to support the SayPro Classified Office and Marketing Royalty team.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position: Report Generation Analyst
Department: SayPro Marketing & Analytics
Reports to: SayPro Marketing Manager
Job Type: Full-time
Location: Remote/Headquarters (dependent on company structure)

Job Overview:

The Report Generation Analyst will be responsible for compiling data findings into actionable reports with detailed insights and recommendations aimed at improving user experience and engagement. This role involves analyzing user behavior and engagement metrics gathered through the SayPro Classified platform, specifically focusing on SayPro Monthly January SCMR-5 (SayPro Monthly Classified User Insights) and SayPro Marketing Royalty SCMR. The individual will work closely with various stakeholders, including marketing, product development, and analytics teams, to ensure the data is correctly interpreted and reported to inform business strategy and decisions.

Responsibilities:

1. Data Collection & Analysis:
   • Collect and consolidate data from the SayPro Classified platform to analyze user behavior, engagement metrics, and trends.
   • Review SayPro Monthly January SCMR-5 to analyze user insights from SayPro’s classified offices, with an emphasis on user interactions and trends within the classified sections.
   • Use SayPro Marketing Royalty SCMR as a reference point for tracking the performance and impact of marketing efforts and royalty programs.
   • Collaborate with other teams to ensure that all data sources are accurate, up-to-date, and comprehensive.
2. Report Generation & Compilation:
   • Compile data into structured, comprehensive reports that outline key findings, performance indicators, and trends, including but not limited to user engagement, demographic preferences, and activity patterns.
   • Develop monthly reports on user insights that align with the SayPro Monthly SCMR format to facilitate internal decision-making processes.
   • Ensure that reports provide a clear narrative supported by the data, highlighting areas of success as well as opportunities for improvement.
   • Design user-friendly visuals (charts, graphs, and tables) to make reports digestible and actionable for all stakeholders.
3. Insightful Recommendations:
   • Provide actionable insights based on the data findings to improve the user experience within the SayPro Classified platform.
   • Suggest marketing, product, and content optimizations based on user behavior analysis to increase engagement and retention.
   • Recommend adjustments in user journey mapping and interaction flows to enhance user satisfaction and address any identified friction points.
   • Identify trends in user preferences that could inform future marketing campaigns or product feature development.
4. Stakeholder Communication:
   • Present key findings, reports, and recommendations to cross-functional teams, including product, marketing, and executive management.
   • Maintain a consistent flow of communication with internal stakeholders to ensure alignment on the objectives and deliverables tied to user insights reports.
   • Collaborate with the marketing team to ensure that user insights are incorporated into their campaign planning and execution strategies.
5. Performance Monitoring & Feedback Loop:
   • Monitor the performance of changes or optimizations implemented based on previous reports.
   • Collect feedback from stakeholders on the impact of recommendations and continuously improve reporting methodology.
   • Participate in regular feedback sessions with key stakeholders to ensure reports are meeting business needs and evolving with new requirements.
6. Tool and Platform Utilization:
   • Use analytics tools and platforms (Google Analytics, Tableau, or others) to track and visualize user engagement and behavior data effectively.
   • Stay up-to-date with emerging tools and trends to enhance report quality and data presentation.

Skills and Qualifications:

• Education:
  • Bachelor’s degree in Business, Marketing, Analytics, Data Science, or a related field.
• Experience:
  • Minimum of 2 years of experience in data analysis, report generation, or a similar role.
  • Proven experience in analyzing user behavior and engagement metrics, ideally within a digital marketing or e-commerce platform.
  • Familiarity with classified ad platforms or similar industry experience is a plus.
• Technical Skills:
  • Strong proficiency in analytics platforms (e.g., Google Analytics, Tableau, Power BI).
  • Ability to work with large datasets and databases to extract actionable insights.
  • Advanced Excel skills (pivot tables, formulas, charts) for data manipulation and visualization.
  • Knowledge of SQL or other database query languages is a plus.
  • Experience with customer relationship management (CRM) software or marketing automation tools is beneficial.
• Soft Skills:
  • Strong analytical and critical thinking skills.
  • Excellent communication skills, with the ability to present complex data in an easy-to-understand format.
  • Detail-oriented, with a focus on accuracy and quality in all reports.
  • Ability to collaborate effectively across multiple departments and levels of management.
  • Strong organizational skills and the ability to meet deadlines in a fast-paced environment.

Key Performance Indicators (KPIs):

1. Report Accuracy & Timeliness:
   • Percentage of reports delivered on time without errors or inaccuracies.
2. Actionable Insights & Recommendations:
   • Number of reports resulting in actionable changes to improve user engagement or satisfaction.
3. Stakeholder Satisfaction:
   • Positive feedback from cross-functional teams regarding the clarity and usefulness of reports and recommendations.
4. User Engagement Improvements:
   • Quantitative improvements in user engagement metrics following the implementation of insights and recommendations (e.g., increased interaction, longer session times, reduced churn).

Working Conditions:

• Work Environment:
  • Primarily remote, but may require occasional in-office attendance for team meetings or special events.
• Travel:
  • Minimal travel required, mainly for team-building events or important presentations.

This role is integral to enhancing the user experience across SayPro’s platforms by ensuring that all decisions are backed by robust data analysis. The Report Generation Analyst will play a key part in driving continuous improvement initiatives that increase user satisfaction and engagement.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Role Title: Audience Segmentation & Demographic Analyst

Department: SayPro Marketing & Analytics
Reports To: Senior Marketing Analyst, SayPro Marketing Royalty SCMR
Location: SayPro Classified Office
Date: January SCMR-5

Position Overview:

The Audience Segmentation & Demographic Analyst will play a pivotal role in leveraging user data to segment audiences effectively. This role focuses on analyzing user behavior and engagement metrics with the goal of enhancing the targeting and relevance of classified ads. By using the insights derived from segmentation, the Analyst will help improve ad performance and user experience on SayPro Classifieds, contributing directly to the success of SayPro’s marketing strategy and user engagement efforts.

Key Responsibilities:

1. Audience Segmentation:
   • Utilize user behavior data from SayPro Classifieds to create distinct audience segments based on demographics, preferences, and activity patterns.
   • Leverage tools and data sources like CRM, website analytics, and third-party analytics platforms to identify key segments (e.g., by age, gender, location, purchase history, frequency of interaction, etc.).
   • Develop segmentation strategies that optimize ad targeting, improving user engagement and increasing conversions for both buyers and sellers.
2. User Behavioral Analysis:
   • Analyze user engagement metrics, including click-through rates, session duration, bounce rates, and conversion rates, to gain insights into user preferences and interactions with classified ads.
   • Identify trends in user activity, such as peak browsing times, categories of interest, and frequently searched items, to help tailor marketing and ad strategies accordingly.
   • Monitor and track the effectiveness of classified ads in different segments, adjusting targeting strategies based on performance data.
3. Demographic Profiling:
   • Build detailed demographic profiles for key user segments based on collected data, including location, age group, income level, and interests.
   • Analyze how demographic factors influence user engagement with specific categories of ads (e.g., Apparel & Jewelry, Announcements, Births, etc.), helping to refine ad targeting.
   • Regularly update demographic profiles to reflect changes in user behavior and external market trends, ensuring SayPro’s marketing strategies remain relevant.
4. Cross-Functional Collaboration:
   • Work closely with the SayPro Marketing Royalty SCMR team to align user segmentation insights with broader marketing strategies and campaigns.
   • Collaborate with content creators and ad designers to develop customized ads tailored to each segmented audience.
   • Partner with product and sales teams to understand the specific needs and preferences of different audience segments, ensuring the ads meet user expectations and drive sales.
5. Insights Reporting & Actionable Recommendations:
   • Prepare monthly reports for the Senior Marketing Analyst, summarizing key findings from user behavior and demographic data analysis.
   • Provide actionable recommendations to the SayPro Marketing team on how to improve user engagement and ad targeting strategies based on segmentation insights.
   • Participate in strategy meetings to present insights and suggest new segmentation ideas based on current market trends and user feedback.
6. Continuous Improvement:
   • Continuously refine segmentation models by integrating new data sources and adopting the latest analytical tools and techniques.
   • Test and evaluate different segmentation approaches to identify the most effective strategies for improving user targeting and ad engagement.
   • Stay updated with industry trends and best practices in audience segmentation, using new methodologies to keep SayPro’s marketing strategies competitive.

Key Performance Indicators (KPIs):

• Ad Targeting Effectiveness: Improved engagement and conversion rates as a result of more precise audience segmentation.
• User Segmentation Accuracy: Increased accuracy in segmenting user behavior, leading to better-targeted ad campaigns.
• Reporting Timeliness & Quality: On-time submission of monthly segmentation and behavioral analysis reports with clear, actionable insights.
• Collaboration Efficiency: Effective collaboration with cross-functional teams, ensuring that segmentation data is used to its full potential.

Required Qualifications:

• Education: Bachelor’s degree in Marketing, Business Analytics, Statistics, or a related field.
• Experience: 2-3 years of experience in data analysis, audience segmentation, or marketing analytics, ideally within the classified ads or e-commerce industry.
• Technical Skills: Proficiency in analytics tools such as Google Analytics, CRM systems, and data visualization tools (e.g., Tableau, Power BI). Familiarity with SQL or other data querying languages is a plus.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to transform data into meaningful insights and actionable strategies.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present complex data insights to non-technical stakeholders.

Preferred Qualifications:

• Experience with advanced segmentation techniques, including predictive modeling or machine learning.
• Familiarity with marketing automation tools (e.g., HubSpot, Marketo) and experience in creating automated campaigns based on segmentation insights.
• Knowledge of the classified ads industry, online marketplaces, and user engagement best practices.

Personal Attributes:

• Detail-oriented with a passion for data-driven decision-making.
• Self-motivated and able to work independently, while also thriving in a collaborative team environment.
• Curious and proactive, with a desire to stay ahead of market trends and emerging technologies in the field of audience analytics.

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This job description outlines the core responsibilities and expectations for the Audience Segmentation & Demographic Analyst role. It serves as a key position within the SayPro Marketing Royalty SCMR team, ensuring targeted, data-driven ad strategies that enhance user experience and maximize ad effectiveness across SayPro Classifieds.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Demographic and Segmentation Analyst

Department: SayPro Marketing Analytics

Reports To: Marketing Manager / Lead Data Analyst

Job Overview: The Demographic and Segmentation Analyst is responsible for collecting, analyzing, and interpreting user data to better understand the behaviors, preferences, and engagement patterns of different customer segments interacting with classified ads on the SayPro platform. This role involves conducting detailed demographic analysis to identify key user groups and providing actionable insights to inform marketing strategies. The primary objective is to optimize ad targeting, improve user engagement, and maximize ad relevance, ultimately increasing the overall performance of SayPro’s advertising platform.

Key Responsibilities:

1. Data Collection & Management:
   • Collect and manage data from various sources, including SayPro Monthly January SCMR-5, SayPro Monthly Classified User Insights, and other key analytical tools.
   • Ensure accurate and efficient data collection by utilizing both primary and secondary data collection methods.
   • Collaborate with the IT and data engineering teams to enhance the database and reporting systems used for demographic tracking.
2. Segmentation Analysis:
   • Perform detailed segmentation of SayPro’s user base using demographic factors such as age, gender, location, interests, and other behavioral data points.
   • Create comprehensive user profiles that help to understand which groups engage with specific types of ads.
   • Identify patterns and trends in user interactions with different ad categories (e.g., apparel, promotions, real estate, etc.).
3. Behavioral & Engagement Analysis:
   • Analyze user engagement metrics such as click-through rates (CTR), conversion rates, bounce rates, and time spent on ads.
   • Use these engagement metrics to determine which types of ads attract the most interaction from specific demographic groups.
   • Conduct A/B testing and behavioral experiments to fine-tune ad targeting strategies and enhance the effectiveness of campaigns.
4. Monthly Reports & Insights Generation:
   • Produce detailed, insightful reports for the SayPro Marketing team on the latest demographic trends and user behavior, derived from the SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights.
   • Present findings in clear, easy-to-understand formats for both technical and non-technical stakeholders, highlighting key insights and areas for improvement.
5. Market Trends and Competitor Analysis:
   • Research and analyze competitor activity within the classified ad space to benchmark SayPro’s performance.
   • Track market trends, emerging demographics, and changing user behaviors that could affect ad performance.
   • Recommend strategies for adapting SayPro’s marketing efforts based on findings.
6. Collaboration with Marketing and Product Teams:
   • Work closely with the marketing team to design targeted advertising strategies based on demographic insights.
   • Partner with the product development team to tailor SayPro’s classified ad offerings based on user preferences and engagement data.
   • Provide data-driven support for ad campaigns, helping the marketing team optimize targeting, messaging, and creative content.
7. Strategic Insights and Recommendations:
   • Provide actionable insights and strategic recommendations based on demographic and behavioral data to guide ad campaign development.
   • Collaborate with the Sales team to identify opportunities for upselling or cross-selling classified ad solutions based on user segments.
   • Help the marketing team refine customer personas and develop messaging strategies that resonate with each segment.
8. Continuous Learning and Professional Development:
   • Stay updated on the latest trends in user behavior analytics, digital marketing strategies, and ad targeting techniques.
   • Continuously explore new methods, tools, and techniques for enhancing demographic and segmentation analysis.

Required Qualifications:

• Bachelor’s degree in Marketing, Data Analytics, Statistics, Business Administration, or a related field.
• 2+ years of experience in demographic segmentation, data analysis, or digital marketing analytics, preferably in the e-commerce or classified ads industry.
• Strong proficiency in data analytics tools (e.g., Google Analytics, Tableau, Microsoft Excel) and experience with CRM software.
• Solid understanding of demographic analysis and segmentation techniques.
• Experience with user behavior analysis, including interpreting KPIs like CTR, engagement rates, and conversion metrics.
• Ability to work with large datasets and perform data cleaning, validation, and analysis.
• Strong communication skills and the ability to translate complex data insights into actionable business strategies.

Preferred Qualifications:

• Master’s degree in Data Analytics, Marketing, or a related field.
• Familiarity with SayPro Classified platforms and their user engagement features.
• Experience with advanced data analysis techniques such as predictive modeling or machine learning.

Skills & Attributes:

• Strong analytical thinking and attention to detail.
• Excellent problem-solving skills and the ability to work independently.
• Strong organizational skills with the ability to manage multiple projects simultaneously.
• Collaborative mindset with the ability to work cross-functionally with various teams.
• Strong presentation and reporting skills.

Key Performance Indicators (KPIs):

• Accuracy and timeliness of monthly demographic reports and insights.
• Increased user engagement and ad interaction rates due to improved targeting.
• Successful identification and implementation of new user segments for ad targeting.
• Positive feedback from marketing, product, and sales teams on the usefulness of demographic insights.

By maintaining a deep understanding of user demographics and behaviors, the Demographic and Segmentation Analyst will contribute directly to the continuous improvement and success of SayPro’s classified advertising platform, ensuring ads reach the right users and drive significant engagement and conversion rates.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Engagement Metrics Analyst
Department: SayPro Classified Office
Reports To: Marketing Analytics Manager
Location: SayPro Classified Office
Date: January SCMR-5, 2025

Job Purpose:

The Engagement Metrics Analyst is responsible for tracking, analyzing, and evaluating user feedback and interactions with classified ads on the SayPro platform. The role focuses on gathering insights into user interest and satisfaction levels to determine the effectiveness of advertising campaigns and overall user engagement. This role plays a critical part in optimizing the user experience, refining marketing strategies, and enhancing the effectiveness of classified ads through data-driven insights.

Key Responsibilities:

1. User Feedback Tracking:
   • Monitor and collect user feedback across various channels, including surveys, direct interactions, and comments.
   • Categorize feedback to identify key trends and patterns related to user satisfaction, challenges, and areas for improvement.
   • Collaborate with the customer service team to analyze common user concerns or issues with the classified ads.
2. Interaction Tracking:
   • Track and record interactions with classified ads, including clicks, impressions, time spent, and actions taken (e.g., ad submissions, purchases, shares).
   • Utilize engagement tools and software to compile engagement data in real-time.
   • Analyze ad views and interaction metrics to determine which ad categories or types resonate most with users.
3. Data Analysis and Reporting:
   • Analyze user behavior and engagement metrics from the SayPro Classified Office platform using advanced analytics tools and techniques.
   • Prepare monthly reports on engagement metrics, user behavior, and satisfaction levels, highlighting significant trends and insights.
   • Provide actionable recommendations based on data findings to optimize ad performance, improve user satisfaction, and increase engagement.
4. User Interest Evaluation:
   • Evaluate the level of user interest in various ad types, categories, and specific promotions.
   • Identify areas where user interest can be enhanced by adjusting ad targeting, content, or design.
   • Measure the effectiveness of different ad formats (e.g., text, images, videos) and suggest improvements based on user interaction data.
5. Collaborative Marketing Insights:
   • Work closely with the SayPro Marketing Royalty SCMR team to integrate user engagement insights into broader marketing strategies.
   • Assist in refining user targeting strategies based on the engagement data to increase the relevancy and impact of ad campaigns.
   • Provide feedback on ad campaign performance to marketing teams, ensuring that insights are continuously used to improve ad content and targeting.
6. User Satisfaction and Retention:
   • Monitor trends in user satisfaction, including repeat interactions, return visits, and retention rates.
   • Provide actionable insights to improve user engagement and retention, such as optimizing ad placements, adjusting pricing strategies, or enhancing the ad submission process.
   • Suggest personalized ad features or services based on the satisfaction metrics derived from user feedback and interactions.
7. Technology and Tools Utilization:
   • Utilize SayPro’s engagement and analytics tools to track and assess user interactions.
   • Continuously learn and implement new tracking methodologies to ensure the most up-to-date and effective analysis of user behavior.
   • Ensure that all user interaction and feedback data is properly stored, secured, and managed for future analysis.
8. Training and Development:
   • Stay up to date with the latest trends in engagement tracking, user experience analytics, and digital marketing strategies.
   • Attend regular training and development sessions to enhance analytical skills, including using new tools and techniques for better engagement analysis.

Qualifications:

• Education: Bachelor’s degree in Marketing, Business Analytics, Statistics, or a related field.
• Experience: Minimum of 2 years of experience in digital marketing, user engagement tracking, or data analytics.
• Skills:
  • Proficiency in analytics tools (e.g., Google Analytics, Adobe Analytics, or similar platforms).
  • Strong ability to interpret and present data in a clear, actionable format.
  • Excellent attention to detail with the ability to identify patterns and trends.
  • Strong written and verbal communication skills for preparing and presenting reports.
  • Knowledge of user feedback tools and techniques (e.g., surveys, polls, feedback forms).

Key Metrics and Deliverables:

• Monthly reports detailing user engagement trends and insights on classified ads, with a focus on user interest and satisfaction.
• Recommendations for improving user engagement based on tracking and evaluation of ad interactions.
• Close collaboration with the SayPro Marketing team to ensure insights are integrated into ongoing campaigns.

Work Environment:

• Collaborative, data-driven team environment with a focus on performance and continuous improvement.
• Opportunity to work cross-functionally with different departments including marketing, customer service, and product development.

Conclusion:

The Engagement Metrics Analyst plays an essential role in helping SayPro optimize user interaction with classified ads. Through a data-driven approach, the analyst ensures that marketing strategies align with user preferences and satisfaction, ultimately enhancing the effectiveness of SayPro’s classified ad platform.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Job Title: Engagement Metrics Analyst

Department: SayPro Marketing Team

Reports to: Marketing Manager, SayPro Classified Division

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Role Overview:

The Engagement Metrics Analyst plays a vital role in evaluating the effectiveness of SayPro’s advertising efforts across multiple digital platforms. The core responsibility is to analyze key engagement metrics, including Click-Through Rate (CTR), conversion rates, bounce rates, and page load times, to measure ad effectiveness and provide insights that inform strategic decisions. This position supports SayPro’s mission of refining and optimizing digital marketing strategies, specifically within the SayPro Classified Office under the SayPro Marketing Royalty SCMR.

The Engagement Metrics Analyst will use data-driven analysis to provide a comprehensive understanding of user behavior, ensuring that the marketing team continuously improves the performance of online classified ads and related campaigns.

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Key Responsibilities:

1. Analyze Key Engagement Metrics:
   • Click-Through Rate (CTR): Track and evaluate the effectiveness of advertisements by measuring how often users click on ads compared to how often they are displayed.
   • Conversion Rates: Measure the percentage of users who complete a desired action after interacting with an ad (e.g., submitting an ad, making a purchase).
   • Bounce Rates: Analyze the percentage of visitors who leave the page without further interaction to identify areas for improvement in ad and landing page design.
   • Page Load Times: Monitor page load speeds and assess how delays may negatively impact user experience and conversion rates.
2. Monthly Reporting (January SCMR-5):
   • Prepare detailed reports for the SayPro Monthly Classified User Insights analysis, covering user behavior and engagement metrics across all classified ads platforms.
   • Generate insights based on data trends, identifying opportunities to optimize ad effectiveness, reduce bounce rates, and improve overall user experience.
   • Focus on metrics such as CTR, conversion rates, and user engagement for ads featured under the SayPro Marketing Royalty SCMR.
3. Ad Effectiveness Evaluation:
   • Evaluate the performance of digital classified ads by comparing current metrics with historical performance data.
   • Work with the marketing team to suggest adjustments based on findings, such as refining targeting strategies, adjusting call-to-action messages, or improving landing page design.
4. User Behavior Analysis:
   • Dive deeper into user behavior patterns, understanding what drives user engagement or causes visitors to leave a page.
   • Segment user data to provide insights based on demographics, geography, and behavioral factors.
   • Analyze data from different devices and browsers to ensure ads are optimized for all platforms and provide the best user experience.
5. Collaboration with Cross-Functional Teams:
   • Work closely with the creative team to optimize ad content based on data insights (e.g., visual or text adjustments for higher CTR).
   • Collaborate with the technical team to troubleshoot and address issues related to page load times and mobile responsiveness.
   • Liaise with the sales team to ensure that ad strategies align with overall business objectives and revenue goals.
6. Continuous Improvement:
   • Stay updated on the latest trends and best practices in digital marketing and ad analytics.
   • Recommend new tools or techniques for improving metric tracking and ad optimization.
   • Regularly conduct A/B testing to assess and compare different ad variations for better performance.

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Required Qualifications:

• Education: Bachelor’s degree in Marketing, Data Analytics, Business, or a related field.
• Experience: Minimum of 2-3 years of experience in digital marketing analytics, ad performance tracking, or a similar role.
• Technical Skills:
  • Proficiency with Google Analytics, Google Ads, Facebook Ads Manager, or similar digital marketing platforms.
  • Knowledge of tracking tools such as Tag Manager and performance analytics tools.
  • Strong understanding of website analytics, including bounce rates, CTR, conversion tracking, and load time analysis.
  • Familiarity with A/B testing, segmentation analysis, and cohort analysis.

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Desired Skills:

• Strong analytical and problem-solving abilities.
• Ability to present complex data in a clear and actionable format.
• Knowledge of SEO, SEM, and other digital marketing strategies.
• Experience with CRM software (e.g., Salesforce) and marketing automation tools (e.g., HubSpot).
• Excellent written and verbal communication skills.

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Key Performance Indicators (KPIs):

• Improvement in CTR and conversion rates across ad campaigns.
• Reduction in bounce rates and improvement in user retention.
• Timely and actionable reporting of page load times and technical performance issues.
• Continuous improvement in ad effectiveness through ongoing analysis and optimization.

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Work Environment:

• This role is primarily based in the SayPro Classified Office with flexible work arrangements.
• The employee will have access to a collaborative team of marketing experts and cross-functional departments.
• Regular check-ins with the SayPro Marketing Manager to ensure alignment with business goals and project priorities.

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Conclusion:

The Engagement Metrics Analyst plays a crucial role in helping SayPro’s marketing team maximize the impact of its classified ads and digital campaigns. By thoroughly analyzing key engagement metrics, this role provides the data-driven insights necessary for continuous improvement in user experience, ad effectiveness, and overall marketing performance.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Behavioral Analyst – SayPro Classifieds

Department: SayPro Marketing Royalty SCMR

Reports To: SayPro Classified Office – Senior Marketing Manager

Position Overview: The Behavioral Analyst is responsible for conducting in-depth analysis of user behavior within the SayPro Classifieds platform. By leveraging user data and engagement metrics, the Behavioral Analyst will identify trends, behaviors, and insights to optimize user experience, improve ad performance, and inform marketing strategies. This role requires a deep understanding of how users interact with the classified section of the SayPro platform and the ability to translate behavioral data into actionable strategies that enhance engagement and drive business outcomes.

Key Responsibilities:

1. Pattern Identification:
   • Analyze user interactions on the SayPro Classifieds platform to identify key patterns of behavior, including the most viewed and clicked ads, popular categories, and user navigation trends.
   • Identify and track seasonal, demographic, and interest-based variations in user behavior, with a specific focus on the impact of new ads and category types.
2. User Engagement Insights:
   • Use data analytics tools to track and measure user engagement, including the average time spent on ads, click-through rates, user return frequency, and ad conversions.
   • Identify the ads and categories that consistently perform well and those that require improvement to increase user engagement.
   • Collaborate with the SayPro Marketing and Content teams to determine the best strategies for enhancing underperforming sections.
3. User Journey Analysis:
   • Analyze the user journey within the SayPro Classifieds section, from initial site visits to final ad interactions, including clicks, searches, and conversions.
   • Provide insights on friction points in the user journey and propose solutions to streamline navigation and improve overall user experience.
   • Develop reports that highlight critical drop-off points, areas for improvement, and successful engagement flows.
4. Data-Driven Recommendations:
   • Create comprehensive reports that summarize findings from user behavior and engagement metrics, providing actionable insights to the SayPro Classifieds team.
   • Recommend marketing, design, and content optimizations based on user behavior trends, such as ad positioning, content type preferences, and promotional strategies.
   • Collaborate with the SayPro Marketing team to implement targeted campaigns and strategies based on identified behavior patterns and trends.
5. A/B Testing and Optimization:
   • Work closely with the SayPro Development and Design teams to conduct A/B testing on various aspects of the classified section (e.g., ad display styles, navigation elements, and ad placement) to test hypotheses derived from user behavior data.
   • Use the results of A/B testing to refine user interface designs, improve ad performance, and increase overall user satisfaction.
6. Behavioral Segmentation:
   • Segment users based on behavioral characteristics, such as browsing patterns, ad interaction, and purchasing decisions.
   • Develop specific strategies for targeting high-value segments, such as frequent users or users who often click on specific categories.
7. Monthly Insights Reporting:
   • Deliver monthly behavioral insights as part of the SayPro Monthly January SCMR-5 report, summarizing trends, user interactions, and actionable findings for the SayPro Classifieds Office.
   • Provide key metrics and data visualizations that help stakeholders understand user behavior and engagement patterns at a granular level.
   • Present findings and recommendations to internal teams during monthly review meetings to inform strategy.
8. Collaboration and Communication:
   • Work closely with the SayPro Marketing, Design, and IT teams to ensure that behavioral insights are integrated into the broader marketing and product development strategies.
   • Share findings with other teams, including the Sales and Customer Support departments, to provide a comprehensive understanding of user behavior and the potential impact on business goals.
   • Support the leadership team in making informed decisions that align with user preferences and behaviors.

Skills and Qualifications:

• Education: Bachelor’s degree in Marketing, Data Analytics, Psychology, or related field.
• Experience:
  • Proven experience in behavioral analysis, user experience analysis, or digital marketing analytics, preferably within e-commerce, classifieds, or similar digital platforms.
  • Strong understanding of web analytics tools (e.g., Google Analytics, Hotjar, etc.) and data visualization platforms (e.g., Tableau, Power BI).
  • Experience in data mining, segmenting, and identifying behavioral trends from large sets of user data.
• Skills:
  • Proficient in statistical and analytical software (e.g., R, Python, SPSS, SQL).
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication skills, with the ability to translate complex data into actionable insights for diverse teams.
  • Detail-oriented with the ability to interpret and make sense of large amounts of data.
• Certifications: Certification in Data Analytics, Marketing Analytics, or related fields is a plus.

Personal Attributes:

• Curiosity-driven and data-focused mindset, with a passion for understanding how users interact with digital platforms.
• Ability to work collaboratively with cross-functional teams and provide recommendations that have a measurable impact on user engagement and business results.
• Strong attention to detail and a proactive approach to identifying opportunities for continuous improvement.

Key Performance Indicators (KPIs):

• Engagement Metrics: Increase in user engagement (e.g., click-through rates, time spent per ad, and conversion rates).
• User Retention: Improvement in user retention rates and return visits based on insights implemented.
• Ad Performance: Identifying high-performing ads and categories, as well as recommendations for improving underperforming ads.
• Behavioral Segmentation Impact: Success in targeting high-value user segments and increasing conversion rates for these segments.

This role plays a vital part in ensuring the SayPro Classifieds platform is optimized for maximum user engagement, ad performance, and overall business success. By analyzing user behavior and trends, the Behavioral Analyst will contribute significantly to refining the platform’s user experience and driving growth within the SayPro Classifieds business.

SayPro Monthly January SCMR-5 SayPro Monthly Classified User Insights: Analyse user behaviour and engagement metrics by SayPro Classified Office under SayPro Marketing Royalty SCMR

Position Title: Behavioral Analyst – SayPro Classified Ads

Department: SayPro Marketing and Analytics

Reporting To: Classified Marketing Manager / Director of Analytics

Location: SayPro Classified Office, Remote or On-Site

Job Overview: The Behavioral Analyst at SayPro will play a critical role in tracking and analyzing user behavior across the classified ads section of the SayPro platform. This position focuses on the examination of user interactions, session times, and ad engagements to derive actionable insights that will inform marketing strategies, improve user experience, and enhance ad performance. You will leverage analytical tools to provide data-driven recommendations to optimize the classifieds section and contribute to the ongoing success of SayPro’s Classified Marketing and User Engagement strategies under the SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights initiatives.

Key Responsibilities:

1. User Behavior Tracking and Analysis:
   • Utilize advanced analytics tools (e.g., Google Analytics, Mixpanel, or in-house platforms) to track user interactions across the classified ads section.
   • Analyze metrics such as session duration, bounce rates, page views, user paths, and click-through rates to understand how users are engaging with classified ads.
   • Identify trends in ad engagement patterns, including most viewed, most interacted, and most clicked categories of classified ads.
   • Focus on user demographic breakdowns, including location, device type, and behavior segments to identify preferences and behaviors.
2. Data Collection and Reporting:
   • Develop and maintain detailed reports based on monthly, weekly, and daily data tracking for SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights.
   • Provide timely updates on key performance indicators (KPIs) such as engagement rates, session times, conversion rates, and return visits.
   • Identify key drivers of user activity and ad engagement and report findings to the classified marketing team.
3. Behavioral Insights and Recommendations:
   • Generate actionable insights based on the data analysis of user behavior, helping to identify opportunities for improving user engagement with ads.
   • Propose adjustments to the ad placement, content, and user interface to increase interaction, session times, and overall engagement.
   • Provide insights to optimize ad targeting, based on user interactions, session time analysis, and engagement trends.
4. Collaboration with Cross-Functional Teams:
   • Work closely with the classified ads marketing team, product development, and user experience teams to align findings with the goals of SayPro’s marketing campaigns and user engagement strategies.
   • Collaborate with the content team to understand how ad content impacts user behavior and offer data-driven suggestions for content optimization.
5. Ad Performance Optimization:
   • Monitor the effectiveness of new ad formats, designs, and placements through A/B testing and analysis of user interactions.
   • Provide continuous support to the product and development teams by sharing user behavior trends that may influence future product enhancements or new feature launches in the classifieds section.
6. User Journey Mapping:
   • Create and analyze user journey maps to gain insights into how users navigate the classified ads platform, identifying pain points, drop-off points, and areas where users engage more effectively.
   • Assess user experience and provide recommendations on ways to optimize the classified ads journey for better engagement and higher retention.
7. Trend Spotting and Competitive Analysis:
   • Monitor and analyze trends in classified ad engagement, comparing SayPro’s performance against industry benchmarks and competitors’ platforms.
   • Continuously track how market shifts and changing user behaviors impact the classified ad landscape, and report on these shifts as they relate to the broader market.

Required Qualifications:

• Experience:
  • 2+ years in digital analytics or behavioral analysis, preferably in e-commerce, online classifieds, or digital marketing.
  • Experience with Google Analytics, Mixpanel, or other relevant analytics platforms.
  • Strong knowledge of key digital marketing metrics and user behavior patterns.
  • Familiarity with A/B testing and user testing practices.
• Education:
  • Bachelor’s degree in Marketing, Data Science, Statistics, Business Analytics, or a related field.
  • Advanced certifications in data analytics tools (Google Analytics, HubSpot, etc.) are a plus.
• Skills:
  • Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
  • Proficiency in Excel, SQL, or data visualization tools such as Tableau or Power BI.
  • Understanding of digital marketing and online advertising practices, especially in the context of classifieds.
  • Excellent communication and reporting skills, with the ability to present findings to non-technical stakeholders.
  • Ability to work independently and as part of a cross-functional team.
• Personal Attributes:
  • Detail-oriented with a passion for uncovering insights that drive improvements.
  • Highly organized and able to manage multiple projects simultaneously.
  • Creative problem-solver with a proactive attitude toward data-driven decision-making.

Key Performance Indicators (KPIs):

• Monthly increase in classified ad engagement rate.
• Improvement in session times on classified ads pages.
• Higher click-through rates for targeted ads based on behavioral data analysis.
• Regular identification of optimization opportunities through behavioral trends.
• Increased conversion rates in response to insights and recommendations provided to the marketing and product teams.

SayPro Monthly January SCMR-5 and Classified User Insights Focus:

• As part of SayPro’s ongoing Monthly January SCMR-5 initiative, the Behavioral Analyst will contribute to the SayPro Monthly Classified User Insights report. This report aims to provide a deeper understanding of how users interact with the classified ads section and allows the company to make informed decisions for improving user engagement and ad performance.
• The Behavioral Analyst will also play a key role in helping to align the user insights data with SayPro Marketing Royalty SCMR, ensuring that the findings directly support SayPro’s overall marketing strategies and objectives for classified ads promotion.

Work Environment:

• Collaborative, fast-paced environment with opportunities to contribute to a rapidly growing team.
• Flexibility to work remotely or on-site, with regular team meetings and project check-ins.

This position offers an exciting opportunity for an analytical thinker to impact user experience and drive improvements in classified ad performance at SayPro. If you are passionate about using data to inform business strategies and have a keen understanding of user behavior in the digital space, we encourage you to apply.