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Call Center Profit Simulation
Predictive Dialer Model

Call Center Profit Simulation Modeling

call center profit simulation The profit simulation model was developed to assist call center administrators in projecting potential revenue and expense associated with a particular auto dialer campaign. Additional variables needed beyond other simulations include project revenue per sale and percentage of close rate. On the expense side, the administrator must consider more definitive estimates including the telecommunication cost and the unit labor cost associated with the call center agents.

The purpose of this simulation is to closely estimate the profit that will be realized from a particular dialing campaign. Since this campaign is based upon revenue resulting from a phone sale, this model only applies to commercial marketing campaigns.

The auto dialer model simulates outbound phone calls placed by a automated dialing phone system with answered calls being connected to live agents. Calls can be made predictively, i.e. calls made even when no agents are currently available, "predicting" that when a call finally reaches an individual, an agent will be available. However, the predictive option was disabled for this simulation.

An autocall dialer only places calls when an agent is known to be available to handle the connected call.

The following is an example of the results this call center profit simulation program can produce.


Auto Dialer Profit Simulation Parameters

The following parameters may be entered to run this Auto Dialer simulation model. (Information highlighted in Red is mandatory. Information highlighted in Blue is optional):

  • Phone Campaign Delivery Type - This is the type of phone campaign that is to be simulated.
    • Live Answers - Dialer delivers message to live answers, ignoring answer machines.
    • Live Answers / PT/PD - Dialer contacts Live Answers with either a message and "Press Through" or connects call to Predictive Dialer (PD) agent. Dialer ignores Answering Machines.
    • Machines Only - Dialer only leaves messages on answering machines ignoring live answers.
    • Live Answers / Machines - Dialer delivers recorded message to both Live Answers and Answering Machines.
    • Live Ans/Machines/ PT/PD - Dialer contacts Live Answers with either a message and "Press Through" or connects call to PD agent. Dialer leaves message on Answering Machines.

  • Phone List Size - This is the number of phone numbers contained in the list provided to the auto dialing system that will dialed.


  • Number Of Lines Dedicated To Dialing (Not Including Agent Lines) - An auto dialing system comes with any number of digital or analog phone lines. All or part of this configuration can be dedicated to running a particular predictive dialer campaign. This is the number of phone lines that will be used for dialing the above list of phone numbers.


  • Number Of Agents Handling Calls - The number of agents that will be handling connected phone calls. The phone system dials numbers from the phone list and when a "live answer" is detected, the call is transferred internally to the next available agent. If no agents are available, the call will be suspended.


  • Number Of Passes Attempting To Contact Each Number - The auto dialer system can attempt to re-dial phone numbers that were originally answer machines, busy or no answer. If more than one pass is requested, the campaign will require additional time to complete. Generally a auto dialing campaign will make a maximum of three attempts to complete a call.


  • Average Talk Time Call Length (Seconds) - This is the length of time on average that an agent talks with a call recipient (in seconds).


  • Estimated Percentages Of Call Results (Must Add Up To 100%) - This is an estimate of the quality of the phone list and may vary based upon the time of day in which the campaign is run. There are five different types of call results listed here:
    • (answering machines detected) - auto dialer detected an answering machine (default 52%). (It is important to note that the technology today is only about 90% accurate when detecting the difference between an answering machine and an live person.)
    • (live answers detected) - auto dialer detects a live person answering the phone call (default 32%).
    • (fax or disconnected) - A bad number (or fax) is detected. Call will not be re-dialed (default 7%).
    • (no answers) - No one answers the call - re-dial potential (default 7%).
    • (busy signals) - dialer detects a busy signal when calling a number - re-dial potential (default 3%).

  • Estimated Dialer Costs and Projected Sales Data - This is an estimate of quality of the sales campaign and profitability that may be achieved per unit sale. Costs are likewise estimated.
    • Single Unit Profit - This is the average revenue achieved when each unit of product is purchased as a result of a successful phone sale.
    • Hourly Labor Cost - This is the average labor cost per hour associated with each agent.
    • % Close Ratio - This percent represents the number of successful sales calls versus the total number of calls reaching Live Answers.
    • Cent Per Telecom Min. - This is the telecommunications cost. It represents what is being paid to the telephone company per minute for each phone call.



Auto Dialer Profit Simulation Run


call center profit simulation setup


To obtain the simulation report that is listed below, the following parameters were used in the model:

Call Statistics

Campaign Type

Predictive Dialer Campaign

Phone List Size

5,000

Average Talk Time (Seconds)

120

Number Of Passes Attempting To Call
Each Number

3

Number Of Lines Dedicated To Dialing

40

Number Of Agents Handling Calls

30

Answering Machine Greeting Time (Seconds)

10

Average No Answering Ring Time (Seconds)

15

Call Completion Statistics

Answering Machines

52

Live Answers

32

Fax Or Disconnected

7

No Answers

6

Busy Signals

3

Auto Dialer Costs and Sales Data

Single Unit Profit (Dollars)

75

Hourly Labor Cost (Dollars)

8

% Close Ratio

3

Telecom Minute Cost (Cents)

5



Auto Dialer Simulation Program Run

After entering the above information into the simulator, the following results were returned:

call center profit setup results


The above results demonstrate how closely the auto dialer simulation approximated the input parameters set by the administrator. Note the percentages of the input variables and the results achieved by the simulator were within a percent or two of each other.


call center simulation Results



Auto Dialer simulation Results and Analysis

Simulation Results

The following results were observed after running this Auto Dialer simulation:

Predictive Campaign

The particular model selected for this campaign was not a true predictive, rather a campaign that only dialed numbers when an agent was available. A 0% nuisance rate therefore was anticipated and observed.

Call Result Statistics

The number of calls connected to a live person was 35% of the original list. This equates to the original 32% simulator input parameter plus the number of individuals contacted during the second an third call attempts.

Campaign Elapsed Time

The campaign was completed in 5 hours 40 minutes including the second and third pass at no answer, busy, and answering machine calls.

Telecom Resource Utilization

The auto dialer campaign consumed approximately 3781 minutes of billable phone connect time.

Live Answer Service Statistics

Of the 3500 calls that reached a live answer, 0 calls were unable to be connected to an agent because all agents were busy. This represented a 0% nuisance rate which passes FTC guidelines.

Agent Productivity Statistics

Agents were effectively on calls 85.8% of the time which is less than published predictive dial results, but was expected because the dialer was not predictively dialing numbers ahead of agents becoming available.

Campaign Results

Revenue Generated

$3900

Agent Labor Cost

-$544

Telecom Expense

-$189



Net Income $3167

Results Analysis

The auto dialer model successfully simulated the calling campaign where the dialer used 18 outbound lines and connected live answers to available agents. Model parameters and predictive throttle can be adjusted to operate within FTC guidelines.



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