This article explains how iKizmet forecasts goal-setting metrics, including the calculation methods used for each metric type.
Overview
iKizmet keeps forecasting simple. Rather than relying on complex statistical models or confidence intervals, forecasts are calculated using straightforward methods based on current month-to-date performance and, where available, scheduled revenue data.
Forecast Methods by Metric
1. Total Revenue If scheduled revenue data is available, it is factored into the forecast. Otherwise, the same daily average method used for all other metrics applies.
Example: Today is January 5th with the following values:
- $6,000 in membership auto-pay revenue collected
- $20,000 in scheduled membership auto-pay revenue
- $4,000 in other sales
The calculation works as follows:
- $4,000 ÷ 5 days = $800/day
- $800 × 31 days = $24,800 projected other sales
- $24,800 + $6,000 + $20,000 = $50,800 forecasted total revenue
2. Returning Clients This forecast is based on the percentage increase or decrease compared to the same point in the previous month.
Example: On the 15th of this month, 400 clients have visited. At the same point last month, there were 380 clients, and the month ended at 500. That represents a 5.26% increase over last month's pace. If that trend holds, the forecasted end-of-month value would be 526 clients.
3. All Other Goal Setting Metrics (New Members, Intros Sold, Intros Retained, New Clients)
The month-to-date value is divided into a daily average, then multiplied by the total number of days in the month.
Example: Today is January 15th and you have 30 intros sold.
- 30 ÷ 15 days = 2 intros/day
- 2 × 31 days = 62 forecasted intros by end of month
Frequently Asked Questions
Q: Does iKizmet use scheduled revenue data for all metrics?
A: No. Scheduled revenue is only factored into the Total Revenue forecast. All other metrics use the daily average calculation method.
Q: What happens if scheduled revenue data is not available for Total Revenue?
A: iKizmet falls back to the same daily average calculation used for all other metrics.
Q: Why does the Returning Clients forecast work differently from other metrics?
A: Returning client behavior tends to follow patterns from prior periods, so iKizmet bases that forecast on the percentage change compared to the previous month's performance rather than a simple daily average.
Q: Who should I contact if my forecast values don't look right?
A: Contact support for clarification on any forecast values that seem unexpected or incorrect.