We are thrilled to announce our latest feature: Point Debit Forecast. This powerful tool is designed to give administrators a comprehensive overview of the total points scheduled to be distributed through program automations over a 12-month period, broken down by automation for each month.
With Point Debit Forecast, you can now easily predict and plan point allocations, helping you manage your budget with greater accuracy and efficiency, ensuring a well-balanced and effective rewards program.
Applauz offers several automation options designed to streamline and enhance your rewards program. Here’s a brief overview of our key point automations:
Anniversaries auto-celebrate employee birthdays and work anniversaries with a newsfeed post and an email message. Auto-Points can also be awarded to employees on their birthdays or work anniversaries, customized per milestone. This automation helps recognize and reward long-term commitment, enhancing employee satisfaction and loyalty.
Allowances are points given to employees to award to others through recognition. These can be automated monthly on an individual level to either deposit or refill the exact amount of points you would like your employees, managers or administrators to have to use for rewarding each month. These points are debited from the company points bank and distributed to allowances, fostering ongoing engagement and motivation.
Survey Incentives motivate and reward employees for participating in surveys. By automating these incentives, you encourage valuable feedback and insights from your team, helping to improve your workplace environment and processes.
While these automations are incredibly beneficial, keeping track of all the different point distributions and the variations in monthly spending can be challenging. The diverse range of automated point allocations—from allowances to survey incentives and anniversaries—can lead to fluctuations in your company’s point bank, making it difficult to maintain a balanced and predictable budget.
This is where the Point Debit Forecast feature becomes invaluable.
The Point Debit Forecast feature is designed to give you a clear overview of the points scheduled to be distributed through automations over a 12-month period. The following elements are forecasted to help manage your rewards program with greater precision:
The forecasted bank balance offers a predictive look at your company’s points balance based on the previous month's data, including any previously scheduled Auto-Points purchases.
The suggested auto-points complements this by recommending the optimal amount of Points your Auto-Points refill should be capped at to cover all forecasted months. This ensures that your Point balance remains sufficient to meet all scheduled distributions without the need for frequent manual adjustments.
The Point Debit Forecast feature provides several practical applications that can significantly enhance your rewards program management:
Administrators can use the forecast data to strategically plan their rewards budget, ensuring funds are allocated effectively throughout the year.
With the Suggested Auto-Points feature, you can set optimal refill caps for points, maintaining a consistent balance and preventing shortages or excesses.
By analyzing forecasted point distributions, you can identify spending trends and adjust your rewards strategy accordingly to maximize engagement and impact.
The comprehensive overview of point allocations streamlines administrative tasks, reducing the need for manual adjustments and allowing you to focus on higher-level program improvements.
These practical applications highlight the value of the Point Debit Forecast feature in optimizing and managing your employee rewards program efficiently.
We encourage you to start using Auto-Points Purchasing in tandem with the Point Debit Forecast feature to optimize your rewards program. By setting optimal refill caps based on forecast data, you can maintain a balanced point bank and ensure seamless point distribution. This combination helps in planning and budgeting more effectively, reducing manual interventions, and enhancing overall efficiency.
For more information, please refer to the following help files:
If you have any questions, don't hesitate to contact our support team for assistance.