SayPro Documents Required from Employees: Engagement Metrics Overview

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

This document outlines the key engagement metrics required from employees as part of the monthly reporting process for SayPro’s marketing and classified platforms. The goal is to provide a detailed and comprehensive report of the performance of classified ads, evaluating key metrics like Click-Through Rate (CTR), conversion rates, and bounce rates, for use in the SayPro Monthly January SCMR-5 and SayPro Monthly Classified User Insights reports.

1. Click-Through Rate (CTR) Analysis

• Definition: CTR is the percentage of people who click on an ad after seeing it. This metric is a direct indicator of how effective an ad is in attracting the attention of the target audience.
• Required Data:
  • Total number of impressions for each ad.
  • Total number of clicks on the ad.
  • Calculation of CTR using the formula:
    CTR=(Total ClicksTotal Impressions)×100\text{CTR} = \left( \frac{\text{Total Clicks}}{\text{Total Impressions}} \right) \times 100CTR=(Total ImpressionsTotal Clicks​)×100
• Purpose: Analyzing CTR helps in understanding how well the ad is performing in terms of attracting users’ attention and generating interest.
• Expected Outcome: The report should provide a breakdown of CTR by ad type (e.g., text, image, video), by category (e.g., apparel, vehicles, real estate), and other relevant variables.

2. Conversion Rates

• Definition: The conversion rate measures the percentage of users who complete the desired action after clicking on an ad. This could be making a purchase, filling out a form, or subscribing to a service.
• Required Data:
  • Number of clicks (from CTR data).
  • Number of completed desired actions (e.g., purchases, form submissions).
  • Calculation of conversion rate:
    Conversion Rate=(Total ConversionsTotal Clicks)×100\text{Conversion Rate} = \left( \frac{\text{Total Conversions}}{\text{Total Clicks}} \right) \times 100Conversion Rate=(Total ClicksTotal Conversions​)×100
• Purpose: This metric helps gauge the effectiveness of the ad content and landing pages in convincing users to take the next step.
• Expected Outcome: The report should highlight conversion rates segmented by different ad categories, geographic locations, and demographic groups where applicable.

3. Bounce Rates

• Definition: The bounce rate refers to the percentage of visitors who land on a page and leave without interacting further. A high bounce rate may indicate that the landing page isn’t engaging or that the ad targeting isn’t ideal.
• Required Data:
  • Total number of visits to the landing pages from ads.
  • Number of single-page sessions (users who leave after viewing just one page).
  • Calculation of bounce rate:
    Bounce Rate=(Single-Page SessionsTotal Visits)×100\text{Bounce Rate} = \left( \frac{\text{Single-Page Sessions}}{\text{Total Visits}} \right) \times 100Bounce Rate=(Total VisitsSingle-Page Sessions​)×100
• Purpose: A low bounce rate generally indicates that the landing page content is engaging and relevant to the users. High bounce rates, on the other hand, may require attention to either the landing page or the ad content.
• Expected Outcome: The report should provide insights on bounce rates by ad category and content type, as well as comparisons across different time frames.

---

SayPro Monthly January SCMR-5

The SayPro Monthly January SCMR-5 focuses on analyzing the overall effectiveness of SayPro’s marketing strategies, with emphasis on the engagement metrics outlined above. Employees must submit the following documents:

• Ad Performance Report: Detailed breakdown of CTR, conversion rates, and bounce rates for each ad type (e.g., text ads, image ads, video ads) published in January.
• Ad Category Insights: Insights into performance by category (e.g., apparel, real estate, jobs) with a special focus on any trends that may emerge.
• Recommendations for Optimization: Based on engagement analysis, employees must propose recommendations for improving ad effectiveness (e.g., A/B testing for different copy, improving landing page design, adjusting target audience segmentation).

SayPro Monthly Classified User Insights

The SayPro Monthly Classified User Insights report involves an analysis of user behavior on the SayPro Classified platform. The focus is on tracking and understanding user engagement patterns, ensuring that classified ads reach the right audience, and converting visitors into active users.

• User Behavior Metrics:
  • Time spent on classified pages.
  • Number of pages viewed per visit.
  • Returning users versus new users.
  • Engagement actions taken (e.g., clicking on multiple ads, contacting the seller, saving ads for later).
• User Segmentation:
  • Demographic breakdown of users engaging with specific categories (e.g., by age, gender, location).
  • Analysis of user feedback on ads, including survey responses and comment interactions.
• Required Data:
  • Classified ad performance data, including CTR and bounce rates.
  • Insights on which categories are most popular based on user engagement.
  • Recommendations for ad content refinement to better meet user needs (e.g., better targeting of ads, improving the clarity of call-to-actions).

SayPro Marketing Royalty SCMR

The SayPro Marketing Royalty SCMR report analyzes the impact of SayPro’s marketing strategies on user behavior and ad performance. This report is used to adjust marketing efforts to ensure that ads are effectively reaching the target audience and achieving the desired outcomes.

• Required Metrics:
  • Comparison of current month’s CTR, conversion rates, and bounce rates against historical data.
  • Performance analysis of marketing strategies by ad type and category.
  • Assessment of new initiatives, such as loyalty programs or promotional campaigns, and their impact on ad engagement.
• Required Documents:
  • Ad Engagement Overview: A high-level summary of the key performance metrics (CTR, conversion rates, and bounce rates) for the month, with insights into which strategies worked and which didn’t.
  • User Behavior Analysis: Focus on how user behavior has shifted in response to marketing initiatives, including recommendations for optimization.