The Programmer’s Package delivers 15 programming reports that let you take control of your programming and promotion like never before.
Part of the popular Maximi$er software, these reports can help you find out exactly where your listeners and your competitors listeners live, down to the zip code level. A perfect tool for planning direct-mail campaigns, promotions, billboard locations and sites for your remotes.
You can find out when your listeners tune in or tune out to uncover weak spots in your own programming or in your competitor's lineup. Programmers Package tracks audience flow daypart by daypart, hour by hour or even to a quarter-hour at a time.
Get a clearer picture of who your competitors are by finding the top 10 stations that share your audience, and how much time your listeners spend with each station. You can profile heavy, medium and light listeners to help you build a bigger audience share for your station.
Trend Reports Competitive Reports Location Reports Flow Reports
Report A: Cume Trend gives an overall picture of a radio station.
Report B: AQH Trend provides AQH Persons estimates for a station’s Target Audience as well as a smaller demo cell analysis.
Report C: Share Trend tells what share or percent of the total listening audience a station has captured out of total listening within a station’s survey area.
Report D: Time Spent Listening Trend tracks TSL up to five survey periods and breaks down TSL estimates for a station’s Target Audience, Persons, Men and Women.
Report E:Target Demo Daypart Trend looks closely at a station’s Target Audience, for standard or custom dayparts.
Report G: Preference Level Trend determines if a station is losing or gaining ground because its core listeners are listening less or more.
Report H: Average Age Trend gives average age of diarykeepers who listed a station in their diaries along with competing stations the station has also selected.
Report I: Monthly Tracking lists AQH Persons, AQH Share, Cume Persons and TSL (Hrs./Mins.) for a station and its competitors, tracked on an individual, month-by-month basis up to 12 months.
Report K: Competitor Diary Return by Zipcode is similar to Report J but looks at stations by format.
Report L: Shared Listening Trend tells a station what percent of the station’s audience listens to each of its competitors, and for how long.
Report F: Listening Location Trend tells where a station’s audience is listening, either in a car, at home, at work or other place, and tracks these data up to five surveys.
Report J: Diary Return by Zipcode Trend looks at a station’s performance on a county-by-county and individual zip code basis, tracked up to five survey periods.
Report M: Recycling by Daypart demonstrates vertical recycling, where a station endeavors to get listeners to listen to the station’s other dayparts within a given day.
Report N: Total Day-by-Day Listening demonstrates horizontal recycling, where a station endeavors to get listeners who listen to the station for one day to listen to it five or more days a week.
Report O: Specific Day-by-Day Listening tells which day of the week and by what percent a station’s audience listens to the station.
What it does: Gives an overall picture of a radio station; that is, the number of different persons who have listened to that station for a minimum of five minutes in a quarter-hour during one week (its cume), tracked up to five survey periods. In addition, it provides Cume Persons Estimates for the station’s Target Audience as well as individual breakdowns for Persons, Men and Women for major age cells.
Benefits: If a station has had a cume drop — that is, if it appears the station’s total number of different listeners has gone down — this report enables the program director to determine whether the decline was within a specific age or sex cell. It also indicates where those estimates went up, or where they went down, by percentage versus the last survey in two or more report markets per year, or versus the one conducted a year ago.
What it does: Provides a picture similar to Report A, except that it has to do with Average Quarter-Hour Persons as tracked up to five survey periods. AQH Persons identify the average number of persons estimated to have listened to a station for a minimum of five minutes during any quarter-hour in a time period.
Benefits: Like Report A, this report provides AQH Persons estimates for the station’s Target Audience as well as individual analysis for Persons, Men and Women for major age cells. And, as in Report A, it denotes within each age or sex cell whether those estimates increased or declined by percentage versus the last survey in two or more report markets per year, or versus the one from a year ago.
What it does: Average Quarter-Hour Share tells the program director what share or percent of the total listening audience the station captured out of total listening within the survey area. And, as in the two previous reports, AQH Share is tracked up to five survey periods, and estimates are broken down for the station’s Target Audience for Persons, Men and Women.
Benefits: Signals the program director that if the station’s AQH Share has gone down but the AQH Persons estimate has not, it would mean that the total radio listening pie for that survey area has increased. Again, as in the first two reports, comparisons can be made as to whether estimates went up or down by percentage versus the last survey in two or more report markets per year, or versus the one from last year.
What it does: Time Spent Listening (TSL) is an estimate of the number of hours and minutes the average person spends listening during a specified time period. And, as in the previous reports, it tracks TSL up to five survey periods, and breaks down the TSL estimates for the station’s Target Audience as well as for Persons, Men and Women.
Benefits: TSL is very helpful for making programming decisions. It enables a program director to be very specific, such as determining if listening is down among just Women 25-34, or just Women 35-44, or whether it is down among the entire target group, say, Women 25-44. This report allows the PD to narrow down and isolate the problem. And, as in the other reports, trending is possible: Did estimates increase or decline by percentage versus the last survey in two or more report markets per year, or versus the one conducted a year ago?
What it does: Allows the program director to look closely at the station’s Target Audience, such as Women 25-54 for standard or custom dayparts and, as in the other reports, track the estimates up to five survey periods. Dayparts are broken down into groups, with hours and minutes for Station and Market TSLs, estimates for Cume Persons, AQH Persons and AQH Share.
Benefits: Enables the PD to select either standard dayparts or station-defined custom dayparts, such as a 5:30AM-9AM daypart. With this information the PD can then determine whether there’s a problem with either the station’s morning show, or with the midday or afternoon or evening programs. And, as with the other reports, it lets users know whether there was an increase or decline in estimates by percentage versus the last survey in two or more report markets per year, or versus the one from last year.
What it does: Gives the program director an idea as to where the station’s audience is listening, either in a car, at home, at work or other place; at the same time tracking this data up to five surveys. Audience estimates for each of these locations are delivered under four groupings: 1. Cume Persons, 2. Percent of Cume Audience, 3. AQH Persons, 4. Percent of AQH Audience.
Benefits: Helps the PD further identify where the station’s listening location problem might be. Is it in cars, at home, at work or some other place?
What it does: Persons who listen to one radio station more than any other are P1 Preference listeners. Next in line are P2 Preference, P3 Preference and P4+ Preference listeners — groups of people who listen a lot to a single station but less frequently than P1s. This report provides the program director with the Percent of Cume; Percent of AQH; TSL (Hrs./Mins.); P1, P2, P3 and P4+ Cume; P1 (2, 3, and 4+) AQH; and Number of Diaries for all four preference levels and up to five survey periods. This two-page report is reported for Persons 12+ and for the station-selected target demo.
Benefits: Enables the PD to determine if the station is losing ground because core listeners are listening less. If the station’s P1s are going down and its P2s and P3s are going up, it means the station’s core listeners are tuning in to another station, a problem for which a solution needs to be found. Also, this report, like some of the others, allows the user to determine where estimates went up, or down, by percentage versus the last survey in two or more report markets per year, or versus the one conducted a year ago.
What it does: Allows the program director to see what was the average age of the diarykeepers — Persons, Men and Women — who listed the station in their diaries along with the call letters of other competing stations they also may have listed, all of which is tracked up to five survey periods. The report also lists the total average age of diarykeepers in the market.
Benefits: Lets the PD keep track of stations within the market about which the PD is most concerned. For instance, does another station’s audience appear to be getting younger while your station appears to be getting older, or vice versa?
What it does: Lists AQH Persons, AQH Share, Cume Persons and TSL (Hrs./Mins.) for the station as well as the station’s competitors, tracked on an individual, month-by-month basis over 12 months. And it delivers the same estimates for the total market over the same number of months. Blank columns at the right of the page are provided for PDs who reside in four-book markets and who might want to extrapolate using Arbitrends data.
Benefits: Allows the PD to see on one page whether estimates for the above four categories went up, down or held steady for the station on a monthly basis. The report can also provide the same information for each of the station’s competitors.
What it does: Lets the program director look at the station’s performance on a county-by-county and individual zip code basis, tracked up to five survey periods. The report not only lists all zip codes which had diaries returned, it also lists the names of each zip code’s post office. Arbitron counties that have ethnically split geographies (HDHAs, HDBAs, and Balances) do not have city names available at this time. The selected station’s total county diary return, the market total county diary return and percent of station diary return are also listed for the user-defined demo and daypart.
Benefits: Identifies for the PD from which zip code the most, or the fewest, diaries were returned. The columns at the right of the report’s page also help the PD, by summarizing the total number of diaries returned by zip code, as well as the total number received from up to the previous five surveys. It can also identify hidden contesting zip codes for competitors. In addition, this report can be ranked for all Metro zip codes by the selected station’s four-book total or for the market’s total diary return or station’s total diary return for any survey.
by Zipcode
What it does: Similar to Report J, in that it enables the PD to look at the
station’s performance on a county-by-county and zip code basis. But it
does so by format (e.g., AC or CHR or News/Talk) based on the selected station’s
format as reported to Arbitron. It also informs the PD as to the number of
total diaries each station got back within each zip code, and the total diary
return for up to four of the user-selected competitors. The four stations are
selected by the user at the Main Menu screen.
Benefits: Allows the PD to determine which zip codes the station might be underperforming in versus format competitors, requiring steps to be taken to counteract the erosion. Moreover, the PD can rank all zip codes for the station’s selected standard geography, based on format for the station (or the other four stations selected). Its user can also select any standard or custom daypart.
What it does: This report shows what percent of the selected station’s audience is listening to other stations and for how long (time spent listening), all of which are tracked up to five survey periods.
Benefits: Helps isolate a competitive problem by identifying for the program director which of the station’s competitors is sharing the greatest percentage of its audience, and how much TSL a competitor is getting from your audience. The goal is to minimize the time listeners spend with competitors.
What it does: This report answers the question of "vertical recycling," which is where a station endeavors to get listeners to also listen to the station’s other dayparts within a given day. Dayparts are standard or customized by the user and tracked up to five survey periods.
Benefits: Enables the PD to compare the percentage of the station’s listeners with those at other periods throughout the day, as well as between current and previous surveys.
What it does: This report relates to "horizontal recycling." That is, it enables a program director to determine what percent of those who listen to the station for one day go on to listen to it a second day, and a third, a fourth, a fifth, a sixth and a seventh. It also lists the average number of days the station is listened to as well as the percent of listening for 5+ Days/Week. The dayparts covered include standard or customized and are tracked up to five survey periods.
Benefits: Tells the PD how good a job is being done to get the station’s audience to listen to the station five or more days a week (getting the listeners into a Monday-through-Friday, or more, listening habit). Stations that don’t have strong listening 5+ days per week are not fully utilizing their existing cume and squeezing out the most from their listeners’ Time Spent Listening.
What it does: The purpose of Report O is to enable the program director to learn which day of the week and by what percent the station’s audience listens to the station that day. To achieve this, the report lists all seven days of the week under multiple standard or custom daypart groups, all of which are tracked up to five survey periods.
Benefits: The PD gets to know which days of a week the station is attracting the largest, or the smallest, number of listeners. Stations that target listening for specific days during the survey period can see the results of their efforts.