RPP Dashboard Orientation
Your brand’s audience answered several questions in a survey called the “Reader Preference Profile Study”, or ‘RPP’ for short. We then aggregated their answers and have put them into an interactive dashboard for you to view the results. You received the link for your dashboard from your market research contact.
We created this dashboard for three reasons:
- 1. To help you make more informed decisions about your brand.
- 2. To become more knowledgeable about your brands audience.
- 3. Empower your marketing and sales team to highlight the strengths of your brands audience.
We have segmented all plots into 7 categories. Click on any category to see the available plots. Your brand’s audience answered several questions in a survey. We then aggregated their answers. We present their responses graphically on each plot.
For every plot we see in our dashboard, we see five elements.
- 1) The category name of the plot is the top line on each plot.
- 2) The name of the plot is the subtitle, or second line, in each plot.
- 3) The actual plot appears with data from your RPP survey.
- 4) Below the plot, we find the Question text .
- 5) The last line is the sample size and the year of the data for each question. The number is black when you have over 30 responses, and the number turns red when the response number falls below 30. Click on filters to find out why.
Below the ‘Select Plot’ nav, you will see a ‘Select Filters’ nav option. These filers allow you to segment your RPP responses based on several demographics.
For example, if you would like to see how “females” answered a specific question:
- 1) Navigate to the plot you would like to see
- 2) Open ‘select filters’ on the left side
- 3) Select the box titled ‘females’
Your plot will now display how females answered this specific question.
You may select more than one filter for any plot – there is no limit.
Note that, on occasion, the ‘sample number’ at the bottom of the plot may turn red. When the sample number turns red, this indicates that we did not receive enough responses from your selected filter to confidently say they are representative of your target audience. Therefore, in this situation, use caution when interpreting the plot. Also, if the sample number turns red, you may select additional “filter” selections to add more respondents into your plot, and the number will eventually turn black as you add more sample.