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Coding Analysis posted on November 4th, 2019

By Paul Ziino

We’re all familiar with Turnover Analysis, which you can access by clicking the blue circling arrow icon in the Toolbar or the menu Dataset/Analysis/Turnover Analysis. It allows us to see predicted turnovers of the songs in our categories. There’s a cool little button in this part of the software that allows us to see the predicted turnovers of our coding called “View Coding Analysis.”

Click that icon and select the field you’d like analyzed. Let’s start with Gender.

This tells us we have 45 F-Female coded songs in the library and that we should expect to hear approximately 79 plays of Female coded songs per day, 558 per week, and generally expect about 15 minutes between plays. Its density in the library is 20%. As we look at the screen we see that the density between Male and Female, when totaled, is greater than 100%. Why? Because some songs in the library may have both codes listed representing a male/female duet.

Next, I ran analysis on my Sound field.

This tells us we don’t have many ballads, Dance/Disco, New Wave, or Urban songs in the library, and as such we shouldn’t be hearing very many of those songs. Again, the Density totals to be more than 100% because songs have more than one code assigned.

You can even analyze keyword fields. By default they will be sorted alphabetically, but you can click on any column header to sort by it. In the following, I’ve sorted Artist Keywords by the Count column.

Here we see in this database that John Mellencamp is our most-used artist keyword and that we can realistically expect his songs to appear every hour and a half. That’s followed closely by Phil Collins and Huey Lewis. Why does Van Halen have seven songs but we expect to hear that artist every 1:33 whereas we have eight songs by Huey Lewis and can expect to hear that artist every 1:46? It’s because the categories with Van Halen rotate faster than those containing Huey Lewis.

Using the Coding Turnovers can really help when it comes to building rules. For example, we can’t expect MusicMaster to be able to sustain a rule that says we have to be 50% Rock when only 30% of our library contains that code. We can’t expect a five hour artist keyword separation rule to work when we have artists that should be playing every 90 minutes.

When you look at all the information MusicMaster can provide, it will really help you set up your rules and rotations. For more help, contact your MusicMaster Scheduling Consultant.

What is “Hour Exposure?” posted on July 1st, 2019

By Paul Ziino

Head to Dataset/Analysis/Turnover Analysis. Once it loads in the upper half of the screen you’ll see all your categories and a number of columns. You can add and subtract columns by right-clicking in that upper half and checking additional columns. The column we’re discussing today is “Hour Exposure.”

Hour Exposure is the percent of hours a song from that category will play in before repeating in an hour. The highest number you will see is 95.83% which indicates a song is predicted to play in all hours before repeating in one of them. The lower the percent, the fewer the hours the song will hit before repeating in an hour.

If you have a category that doesn’t play 24/7 its Hour Exposure percent will drop. If category X only plays from 6pm-6am, that eliminates 50% of the hours, so the highest score you’ll see is 45.83%. If the category is only played in 6 hours of the 24 hour broadcast day, the highest hour exposure possible will be 20.83%.

When we are using Turnover Analysis to look at predicted rotations, we’re looking to maximize the Hour Exposure, without causing stacking in the predicted play rotation. Looking at Category A we have a 45.83% hour exposure. We do see some stacking in the predicted play history.

If we adjust the slot count up and down we can see how this will change not only the Hour Exposure, but also the predicted rotation.

In this example, not only is the Hour Exposure lower, but the predicted rotation is pretty rotten, too.

Following is an example where we get that stairstep but still have a low Hour Exposure. That’s because the rotation is predicted to hit the same six hours over and over.

Add three more songs to the category and your Hour Exposure jumps to the perfect 95.83%.

As always, if you have any questions, please follow up with your MusicMaster Scheduling Consultant.

How Many Songs Am I Really Playing? posted on September 18th, 2017

Dave Tyler

As one of the Music Scheduling Consultants here at MusicMaster I get calls from Programmers from all across North America on a daily basis. Every day is different and so are the questions. I enjoy the challenge of finding solutions for our clients to unique questions.

Recently on of these terrific programmers called and said that because of great numbers in a recent book they are sold out! Great news! He also said because of this their stopsets are full and sometimes even over what they are set for and he knows as a result they are playing less music. His boss wanted to know how many songs are being played each hour given this “Sold Out” situation. With Turnover Analysis we can easily see the average song count and the actual calls for the category per hour. In the screen shot below you will see that I click on the Turnover Analysis icon (2 blue arrows) and in my example we are looking at the B category (Secondary 70s) in the top part of the graph we can see how many songs are in the category how many times the category is scheduled weekly, how many hours the category is used in, the average plays per hour and a whole lot more information that pertains to the category. I can also see exactly how many times per hour, specific to the hour, that category is being used by clicking on the small musical note in the bottom half of the screen for “Format Clock Category Usage” then using the dropdown I select my B category and there is a grid with the exact clock calls.

This was all good information but this particular Music Director said his PD actually needed to know not how many songs were scheduled from each category but how many songs were actually playing on the air each hour. Like most of us they overschedule the end of their hours in the event that they run short and songs get bumped and being sold out is only amplifying this in their case. Finding this information is different but totally doable in MusicMaster Pro. This client reconciles their music against their aired log from their automation system on a daily basis so MusicMaster knows what actually played. To see this very specific information simply open any day you wish to find this information for then click on the Schedule Analysis button.

Now click the “SetUp” button and enter the settings below. We want to test the current day and test just the Song Elements (which are Music from the dropdown) the against setting would be “[None]” and the Display is count.

Now click OK and you will see exactly how many actual songs played during that hour.

This very specific data about actual “Aired” plays is very important especially if you are positioning with “We Play The Most Music” or “12 Songs Every Hour GUARANTEED”. This particular feature also requires a reconciliation.def file. If you do not have one just contact your MusicMaster rep and they will create one for you based on your automation system.

Musicmaster Pro is developed by radio people for radio people and this is just one of many functions to help you better know and program your station.

Time-Saving Music Log Reports posted on June 5th, 2017

By Drew Bennett

Today, it’s tough to juggle everything you need to juggle at the station.  Even the music department can be something you explore to find ways of saving time.  One of those ways is to build reports and run them against a log you scheduled to make sure everything looks good before sending it on to automation.  In today’s tip, I’m going to talk about the reports you should run before sending any music log to air.


The Consultant Asks… Why MusicMaster? posted on September 15th, 2014

By Marianne Burkett

I have many clients who also happen to be programming consultants… and the times, they are a changing. Now that MusicMaster is thoroughly saturating the Music Scheduling world – many consultants want to know what the advantages are and what are the differences between MusicMaster and the other Music schedulers on the market. (more…)

Additions to Turnover Analysis posted on September 17th, 2012

By Aaron Taylor

We’ve enhanced the Turnover Analysis screen for version 5. There are two new options you may want to check out, “All Hours” and “Predicted Rotations for Field Values”. Go to Dataset-Analysis-Turnover Analysis, or click on the circling blue arrows on your toolbar. (more…)

Using Rule Groups to “Ignore” Weekday vs Weekend Plays posted on May 1st, 2011

By Marianne Burkett

This is quite simple to set up, so if you follow this step by step you’ll be done in no time!

Open your Rule Tree and go to the very first folder in Available Rule Types on the right hand side of the rule tree, called “Special Rule Tree Items”. Inside that folder you’ll see Rule Groups.

First drag two rule groups into either the Breakable or Unbreakable folder of the first category you’d like to work on. Identify one Rule Group as your weekday rule group and the second as your weekend rule group. Once you’ve created a Time restriction for each rule group…be sure to select from the drag down menu immediately below your Time Restriction window “Ignore plays outside this time period”.

See illustrations below:

Once you have these first two Rule Groups set up, don’t populate them yet! Copy and paste the empty rule groups into the other categories you’d like the “Ignore weekday or weekend rotation rules” to adhere to. Once you’ve done that, populate your rule groups with rotation rules that make sense for each category. In the close-up below you’ll see a Minimum Rest rule and Exclusive Day Offset rule that are “outside” the rule group and will be adhered to 24/7. Inside the rule groups you’ll see some “dayparted” or “time restricted” Rotation Rules.

Also, in the example below, the Sliding Day Offset rules are different since we’re dealing with a larger window for the weekday rule group and a small window for the weekend rule group.

Remember, each category rotates differently, so be sure to utilize the power of the MusicMaster Turnover analysis icon, which on the illustration above is the blue arrow icon next to the calendar icon. The turnover analysis will give you a good idea about what kind of rules you need, such as day offsets or play offsets. The day offsets test from day-to-day, and are often used with small categories where a song would play every day or several times a day. In the next illustration you’ll see The Recurrent category will play almost everyday:

Play Offset Windows are used on categories that turn over at a much slower pace, like the sample below:

For more information about how to set up Rule Groups and the correct rules for your library, contact your Music Scheduling Consultant!

Ideal Turnovers posted on February 1st, 2011

By Drew Bennett

Let’s say you have the rare opportunity to totally overhaul your database. You’ve been thinking about new clocks and rotations and you want to get started on bringing better rotations to your station.

When it comes to scheduling music, clocks are ‘where the magic happens.’ (more…)

MusicMaster Turnover Calculator posted on May 28th, 2010

Did you know there is a calculator hidden within MusicMaster Windows? This cool utility can be found in the Turnover Analysis section of the software (to get there, click on the two circling blue arrows icon on the toolbar, or by selecting DATASET-ANALYSIS-ANALYSIS). On the lower level of the split analysis screen, you’ll spot a row of icons and the calculator icon can be found there. This is the Turnover Calculator, and it allows you to play with the number of songs in the category (Slot Count), the number of times you call for it (Avg. Per Hour) and the turnover time (Avg.).

By using the calculate buttons, you can see graphically what the turnover would like with various setting To use this, change one of the three fields shown, and then click on the calculate button you want to view. For instance, if you were setting up a new category and you knew that you wanted a turnover for the category of 29 hours (1d 5:00) and you wanted to play four songs per hour, you would fill in those two pieces of information. You would then click on the Calculate button to the right of Slot Count. MusicMaster would then determine you need 116 songs in the category.

If you are contemplating making clock/category changes, I think this is an invaluable tool to help you make decisions on “what you should do” to achieve your rotation goals.

Keep in mind, the turnover calculator is showing you graphs for a category with a 1 search depth and no rules.  The use of search depth and coding and rotation rules will effect the overall turnover pattern in real-time scheduling.

If you have any questions in regard to the Turnover Calculator or any other feature of MusicMaster, contact your Music Scheduling Consultant.