SayPro Monthly January SCMR-5 SayPro Monthly Classified Sales Reports: Generate reports on ad sales and revenue by SayPro Classified Office under SayPro Marketing Royalty SCMR
Objective:
The goal is to collect, organize, and generate detailed reports on ad sales and revenue for SayPro Monthly January SCMR-5 from the SayPro Monthly Classified Sales Reports. This includes organizing data by type of ad, customer, date, and region from the SayPro Classified Office, under SayPro Marketing Royalty SCMR. These reports will inform marketing strategies, sales analysis, and customer engagement tracking.
Step-by-Step Tasks:
1. Data Extraction from SCMR-5 Reports
- Task Description: Extract raw data from the SayPro Monthly January SCMR-5 reports.
- Subtasks:
- Access the SayPro Monthly Classified Sales Report for January 2025.
- Retrieve the ad sales and revenue data from each classified office and related metrics.
- Ensure the dataset includes details such as:
- Type of ad (e.g., job listings, product ads, event promotions)
- Customer information (name, company, account type)
- Sales date (date and time of ad publication)
- Region of service (geographical location of the classified office)
- Responsible Party: Data Management Team
- Deadline: By the end of Day 1
2. Data Organization by Ad Type
- Task Description: Organize the extracted data based on the Type of Ad.
- Subtasks:
- Categorize the data into distinct types of ads (e.g., classifieds for products, services, jobs, events, etc.).
- Create separate lists or spreadsheets for each type of ad.
- Ensure each ad is tagged with the correct type according to the classification system.
- Responsible Party: Data Analysts
- Deadline: By the end of Day 2
3. Data Organization by Customer
- Task Description: Organize the data by Customer.
- Subtasks:
- Identify and tag each entry with customer details such as:
- Customer name
- Customer account type (e.g., individual, business)
- Customer region, if applicable
- Ensure that customer data is cleaned and de-duplicated to prevent errors in reporting.
- Group sales data by customer for further analysis.
- Identify and tag each entry with customer details such as:
- Responsible Party: Customer Relationship Management (CRM) Team
- Deadline: By the end of Day 3
4. Data Organization by Date
- Task Description: Organize the extracted data based on the Date of the ad publication.
- Subtasks:
- Sort the data chronologically, from the first ad published to the last in January.
- Use a daily breakdown or weekly breakdown depending on the volume of ads and reporting needs.
- Verify that each entry includes the correct date and time.
- Responsible Party: Data Analysts
- Deadline: By the end of Day 4
5. Data Organization by Region
- Task Description: Organize the data by Region.
- Subtasks:
- Identify the region associated with each ad (e.g., North, South, East, West or specific country/region-based offices).
- Assign each classified ad to the relevant regional category.
- Ensure that regional data is clean and correctly categorized for easy comparison.
- Responsible Party: Regional Sales Team
- Deadline: By the end of Day 5
6. Data Quality Checks
- Task Description: Perform a thorough quality check on the collected and organized data.
- Subtasks:
- Ensure that all entries are consistent, accurate, and free from errors (e.g., missing customer information, incorrect dates).
- Cross-check the type of ad, customer details, and region for consistency.
- Identify and resolve any discrepancies or duplicates found in the data.
- Responsible Party: Quality Assurance (QA) Team
- Deadline: By the end of Day 6
7. Report Generation
- Task Description: Generate a report summarizing the data collected from the SayPro Monthly Classified Sales Reports.
- Subtasks:
- Use the organized data to create a detailed report that shows:
- Total ad sales revenue by type of ad
- Total sales by customer
- Sales by region
- Revenue trends by date (e.g., weekly/monthly breakdown)
- Ensure that the report is visually clear and ready for presentation.
- Provide insights and analysis based on the data, such as areas for improvement in marketing strategies or opportunities for upselling.
- Use the organized data to create a detailed report that shows:
- Responsible Party: Data Analytics Team
- Deadline: By the end of Day 7
8. Report Review and Feedback
- Task Description: Review the generated report with stakeholders and refine it based on feedback.
- Subtasks:
- Present the initial report to marketing, sales, and executive teams.
- Gather feedback regarding any adjustments, further data analysis, or additional insights needed.
- Refine the report as per feedback received.
- Responsible Party: Data Analysts, Marketing, and Executive Teams
- Deadline: By the end of Day 8
9. Final Report Submission
- Task Description: Submit the final version of the report for archiving and future reference.
- Subtasks:
- Upload the finalized report to the designated internal database or reporting system.
- Share the final report with relevant stakeholders, including the marketing team and financial department.
- Responsible Party: Data Analysts
- Deadline: By the end of Day 9
Key Deliverables:
- Organized data sets categorized by ad type, customer, date, and region.
- A detailed report summarizing ad sales and revenue, including insights on sales performance by type, customer, date, and region.
- A final, reviewed report for distribution and strategic planning.
Expected Outcome:
The completed data collection and reporting process will provide key insights into the performance of various classified ad types, customer engagement, and regional sales trends. This will help in refining marketing efforts and making informed decisions on sales strategies, customer targeting, and regional promotions.