SayPro Monthly January SCMR-5 SayPro Monthly Classified Rating and Reviews: Implement rating and review systems for ads or sellers by SayPro Classified Office under SayPro Marketing Royalty SCMR
Overview:
The Performance Reporting Template is a tool for tracking and evaluating the performance of classified ads or sellers using the SayPro platform, specifically through the SayPro Monthly Classified Rating and Reviews (SCMR-5). This template is designed to capture review data and user feedback for each ad or seller. The goal is to implement a rating and review system that helps the SayPro Classified Office monitor the effectiveness of classified ad promotions and seller performance. This template can be created as a spreadsheet or dashboard, allowing for easy tracking and analysis.
Sections of the Template:
1. Ad/Seller Identification:
- Ad ID / Seller ID: Unique identifier for each ad or seller in the SayPro platform.
- Ad Title / Seller Name: Descriptive title of the ad or name of the seller for easy identification.
- Category: The classification of the ad (e.g., Jobs, Real Estate, Services, etc.).
- Date Posted: Date when the ad was first published or the seller’s profile was created.
2. Review Data:
- Review ID: Unique identifier for each review.
- Review Date: Date the review was submitted.
- User ID: Unique identifier for the user submitting the review (could be anonymous if allowed).
- Rating: A numerical or star rating system (e.g., 1-5 stars, 1-10 scale). This can be aggregated to calculate the overall rating for each ad or seller.
- Review Text: Textual feedback provided by the user about the ad or seller.
- Review Status: Whether the review is pending approval, approved, or flagged for moderation.
3. User Feedback Metrics:
- Average Rating: An aggregated rating score (e.g., average of all reviews for a specific ad or seller).
- Number of Reviews: Total number of reviews submitted for the ad or seller.
- Positive/Negative Sentiment Analysis: Breakdown of feedback sentiment (e.g., Positive, Neutral, Negative). Sentiment can be determined manually or using automated tools (e.g., sentiment analysis tools).
- Common Keywords: Key themes or issues identified in user feedback (e.g., “good service”, “poor quality”, “timely response”).
4. Performance Metrics:
- Engagement Rate: Percentage of users interacting with the ad (views, clicks, or inquiries).
- Conversion Rate: Percentage of users who take an action after viewing the ad (e.g., contacting the seller, making a purchase).
- Ad Expiry Date: Date when the ad is scheduled to expire or be removed.
- Renewal Requests: Number of requests for ad renewals or updates submitted by the seller.
5. Moderation and Action Tracking:
- Review Moderation Status: Indicates whether the review has been flagged for any policy violations or inappropriate content (e.g., hate speech, irrelevant comments).
- Action Taken: Records any actions taken in response to user feedback (e.g., removing an ad, flagging a review, sending a warning to the seller).
- Resolution Date: Date when the issue was resolved or action was taken.
6. Customer Support Interaction:
- Support Ticket ID: If the review results in a customer support query, this field tracks the associated support ticket.
- Support Status: Tracks the status of any customer support inquiry related to the ad or seller.
- Resolution Date: The date when the support issue was resolved.
Template Design:
Spreadsheet Layout:
The template can be organized into the following sheets or tabs:
- Ad/Seller Details: Contains columns for Ad ID, Seller ID, Ad Title, Seller Name, Category, Date Posted, etc.
- Review Data: A separate sheet for tracking all reviews with columns for Review ID, Review Date, Rating, Review Text, Sentiment, etc.
- Performance Metrics: A sheet that calculates overall ad performance based on engagement and conversion rates.
- Moderation & Actions: A sheet for tracking any reviews flagged for moderation and actions taken.
- Support Interaction: A sheet to track customer support inquiries tied to reviews or seller feedback.
Dashboard (Optional):
The dashboard provides a high-level overview of key performance indicators (KPIs) and user feedback. This can include:
- Average Rating by Category: A chart that displays the average rating for each ad category.
- Review Volume: A graph showing the number of reviews per month or week.
- Engagement/Conversion Trends: Line graphs depicting engagement and conversion trends over time.
- Top Rated Ads/Sellers: A section that showcases top-performing ads or sellers based on reviews and ratings.
Sample Columns in the Spreadsheet:
Ad/Seller ID | Ad Title/Seller Name | Category | Review ID | Review Date | Rating | Review Text | Average Rating | Sentiment | Engagement Rate | Conversion Rate | Actions Taken |
---|---|---|---|---|---|---|---|---|---|---|---|
101 | “Best Laptop for Sale” | Electronics | 5001 | 2025-01-10 | 4 | “Great product, fast delivery.” | 4.5 | Positive | 15% | 5% | None |
102 | “Affordable Plumbing” | Services | 5002 | 2025-01-12 | 2 | “Service was late and unprofessional.” | 2.8 | Negative | 10% | 2% | Sent warning to seller |
How to Use the Template:
- Data Entry: The SayPro Classified Office team can manually enter data, such as new ad postings, reviews, and performance metrics, or use automated tools for importing this information.
- Tracking and Monitoring: Monitor the feedback regularly to identify trends, areas for improvement, and top performers.
- Analysis and Reporting: Use the data from the template to generate reports on ad performance, seller ratings, and customer satisfaction, helping inform marketing decisions and operational improvements.
- Review Actions: Based on the feedback and performance metrics, take action on ads or sellers that need improvement, such as removing ads with negative reviews, responding to flagged content, or offering support to sellers with low engagement.
Implementation and Benefits:
By utilizing the Performance Reporting Template, the SayPro team can systematically track the effectiveness of classified ads and monitor user feedback in a structured way. This approach leads to:
- Improved ad quality through actionable insights from user reviews.
- Enhanced seller performance by identifying areas where they can improve based on customer feedback.
- Better customer satisfaction due to timely responses to flagged content or negative feedback.
- Efficient decision-making supported by real-time data analysis of engagement, conversion rates, and review sentiment.
This template is essential for implementing a comprehensive review system and ensuring the success of classified ads on the SayPro platform under the SayPro Marketing Royalty SCMR.