# data[].attributes.body
Formula: (Number of Repeat Customers ÷ Total Customers) × 100

# data[].attributes.body
Formula: (Number of Cross-Sells/Upsells ÷ Total Sales) × 100

# data[].attributes.body
Formula: Total Sales Revenue ÷ Number of Closed Deals

# data[].attributes.body
Formula: Total Sales Revenue (monthly)

# data[].attributes.body
Formula: (Number of Closed Deals ÷ Total Leads) × 100

# data[].attributes.body
Formula: (Number of Automated Processes ÷ Total Number of Processes) × 100

# data[].attributes.body
Formula: Average Sentiment Rating from Customer Feedback

# data[].attributes.body
# of New Consultants Onboarded

# data[].attributes.body
# of new products released

# data[].attributes.body
Formula: Total Number of Days to Close Deals ÷ Number of Deals Closed

# data[].attributes.body
Meeting Room Utilization Rate = (Number of Hours Meeting Rooms Are Used / Total Available Meeting Room Hours) × 100

# data[].attributes.body
Churn Rate = (Number of Members Lost / Total Number of Members at the Start of the Period) × 100

# data[].attributes.body
(Number of New Members from Referrals / Total New Members) × 100

# data[].attributes.body
Formula: Average Sentiment Rating from Customer Feedback

# data[].attributes.body
Total Duration of All Members / Number of Members

# data[].attributes.body
(Number of Hours Desks Are Used / Total Available Desk Hours) × 100

# data[].attributes.body
Total Operating Costs / Number of Members

# data[].attributes.body
RevPAD = Total Revenue / Total Number of Available Desks

# data[].attributes.body
Member Retention Rate = ((Number of Members at End of Period - New Members) / Number of Members at Start of Period) × 100

# data[].attributes.body
Occupancy Rate = (Number of Occupied Desks or Spaces / Total Number of Desks or Spaces) × 100

# data[].attributes.body
Formula: (Number of Automated Processes ÷ Total Number of Processes) × 100

# data[].attributes.body
Formula: Total Purchases ÷ Average Accounts Payable

# data[].attributes.body
Formula: (Actual Financial Results − Forecasted Results) ÷ Forecasted Results

# data[].attributes.body
# of New Consultants Onboarded

# data[].attributes.body
# of new products released

# data[].attributes.body
Formula: (Actual Expenses − Budgeted Expenses) ÷ Budgeted Expenses × 100

# data[].attributes.body
Formula: Total Revenue ÷ Total Number of Employees

Description: Measure the company’s revenue-generating efficiency per employee.

# data[].attributes.body
(Number of Competencies Developed / Number of Competencies for Development) x 100%

# data[].attributes.body
Formula: (Total Number of Absentee Days ÷ Total Workdays Available) × 100

# data[].attributes.body
(Number of Employees Who Completed Training ÷ Total Employees Enrolled in Training) × 100

# data[].attributes.body
Formula: Average Engagement Rating from Employee Surveys

# data[].attributes.body
Formula: Average Sentiment Rating from Customer Feedback

# data[].attributes.headline
KPI: Achieve Monthly # of Target Inquiries from Soc Med

# data[].attributes.subject
KPI: Achieve Monthly # of Target Inquiries from Soc Med

# data[].attributes.body
# of Inquiries received through SocMed

# data[].attributes.body
Formula: Total Marketing Spend ÷ Number of Leads Generated

# data[].attributes.body
Formula: (Total Engagements ÷ Total Followers) × 100

# data[].attributes.body
Formula: Total Number of Website Visits

# data[].attributes.body
Formula: Total Reach or Impressions Across All Channels

# data[].attributes.body
Formula: Number of Qualified Leads (monthly)

# data[].attributes.body
Formula: Total Number of Days to Close Deals ÷ Number of Deals Closed

# data[].attributes.body
Formula: (Number of Repeat Customers ÷ Total Customers) × 100

# data[].attributes.body
Formula: (Number of Cross-Sells/Upsells ÷ Total Sales) × 100

# data[].attributes.body
Formula: Total Time to Respond to Leads ÷ Number of Leads

# data[].attributes.body
Formula: Total Sales Revenue ÷ Number of Closed Deals

# data[].attributes.body
Formula: (Number of Closed Deals ÷ Total Leads) × 100, note: in peso

# data[].attributes.body
Formula: (Number of Closed Deals ÷ Total Leads) × 100

# data[].attributes.body
Formula: Total Sales Revenue (monthly)

# data[].attributes.headline
708 organizations/
individuals assisted

# data[].attributes.subject
708 organizations/
individuals assisted