StreetJelly BLOG: Community News, Video Streaming, Online Busking, and more…

Viewer Quick Graph

New Feature: Viewer Quick Graph

User Type: Musicians

How to Find: Click on main menu Down Arrow ∇, choose My Shows, click show Id link

We created the “Viewer Quick Graph” for musicians to get a better feel of how long viewers are watching their StreetJelly broadcasts. Unlike a concert where a patron would purchase a ticket to a show, broadcasting on StreetJelly is more like performing open mic in a cafe or busking on the street corner for coin.  People will come and go continuously during the performance for many different reasons.  But unlike in the real world, we now report to the musicians how long viewers were connected to their stream.
VQG Screenshot
The graph is not a reflection of one’s musical skills, but merely shows the flow of viewers in and out of a performance. The free-to-view nature of StreetJelly, and the internet in general, encourages visitors to pop in and check out as many musicians as possible. But at the same time, die hard fans will flock to a favorite musician and watch an entire show. The graph shows this relationship of time-spent-in-a-show.

We call it a “quick” graph because its the visual pattern of the graph, and not necessarily the values of each bar, that quickly gives the musician the visual cue of how long viewers stayed.  But first, let’s explain those bars. We divide the duration of your show into twelve time increments represented by each bar (the x-axis). For example: in a 1-hour show, the 1st bar represents 5 minutes, the 2nd bar 10 minutes, 3rd bar 15, and so on. For a 2-hour show, each bar then represents 10 minutes, 20, etc. Next, the height of each bar (the y-axis) shows how many people watched your show for that length of time. On the actual graph, hover over each bar with your mouse to see the data values.

VQG AxisThe less time people stay connected to your stream, they will be counted in bars on the left side. The longer time they stay, they will be collected in the right side bars. For example, all the bars stacked to the left means most everyone left after a short time, while all the bars stacked to the right mean most people stayed for the entire show.  But remember, the timer for a viewer starts counting whenever they arrive.  If a viewer arrives late at the end of a set, then their viewing time would naturally be a fraction of the total length of the show. That late viewer would be represented in the bars on the left.

Ok, now that we thoroughly confused everyone, let’s take a look at some sample graphs to put this all together:

Typical Graph
VQG TypicalMost shows will have a nice spread of viewers who stay for various lengths. But you will always have many viewers that pop in for a very short time, hence the large bar on left.

Short Stay Viewers
VQG Short StayWe call these the “busy body” viewers who can’t sit still. These people are bouncing around the site, checking out multiple shows, making dinner on the side, and not able to stay long.

Long Stay Viewers
VQG Long StayHere we see our favorite couch potatoes. Most people stuck around for much of the show. The musician has managed to capture and entertain their crowd for a nice long time.

No Graph Data
VQG No DataThis is a special case when either the show is less than 12 minutes long (remember we divide the bars up in 12 time increments); or you are looking at a show way back in time before we collected viewing time information (back in 2013).

The Viewer Quick Graph is a marketing tool for StreetJelly musicians. Use it to understand what your viewers are doing, how they respond to your performance, and how to improve fun for everyone. Got any performance tips about increasing viewership? Add them in the comments below…

Posted under: Support, Help, Tricks

Tagged as: , , , , , , ,

5 comments

  • harmony on April 26, 2014 at 12:13 pm said:

    This is an interesting concept. How does it take into account the times us as viewers have to refresh for various reasons?

    • If a viewer refreshes their page, or if they leave and come back a few minutes later; they are counted as one visitor and all their viewing time adds up for that one viewer.

  • Thanks for this great tool, my hope is for everyone to study the data and act or react in an effort to not only get more viewers but to get them to stay for a longer time period.

    The 1st thing that jumps out to me is the large numbers on the left which as stated means viewer share jumping from stage to stage.

    There is a simple way to combat the jumpers and that is to stop doubling and even triple scheduling over other performers.

    Simply put when the audience sees numerous acts on at the same time your chances of holding them is greatly diminished.

    On a personal note very often I see up to 3-4 of my favorites “on air” at the same time thus making me jump from stage to stage and very often this puts your audience in an uncomfortable position as they feel they are not being honest and responsible with any of their favs as they spread their time between acts.

    Bottom-line, even on Street Jelly music is a business and it is incumbent on the “performer” to #1 “build” their own audience and by using tools like this one, “manage” their audience. And God forbid start using the “shows schedule feature” (lol) which will help eliminating the double and triple overlapping shows and let your fans know when and where you might be performing might also make it easier for your audiences.

    We as musicians have to get out of the mind set that as long as “I play I am doing my job”, we also have to put more time and yes, money into marketing and managing ourselves.

    OK off my soap box and back on stage.

    PS: Thanks for this great “BUSINESS” tool Frankie.

    Danny C.

  • Hi Frankie
    Thanks for a great tool. It is certainly going to help me alot! Quick question. All my shows have “No Data”. Am I being dim?

    • You should have graph data for any recent shows that are longer than 12 minutes. Back in 2013, we didn’t collect all the various data-points used in the graph – so the further you go back in history, the graph will just report “no data”.