Social Media Etiquette 102: The Personal Side

Hope you all enjoyed recess. Class is now back in session. This is Rant 2 of 2 on authors behaving badly on social media, and thank you again to everyone who wrote to me with your experiences and pet peeves. It’s really put this into perspective for me. If you missed Rant 1, check it out here: Social Media Etiquette 101: The Business Side.

And now we commence Rant 2 of 2…

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Social Media Etiquette 101: The Business Side

It started so innocently… A fellow author sent me a private message saying, “You should write a blog about people behaving unprofessionally on social media!” And because I have seen more of that than I ever cared to, I thought it’d be a great idea. But I didn’t want to be airing just my own grievances, so I asked for input from my network. Boy, that was one scary can of worms I opened… But it showed me that this is an important topic that no one seems to want to talk about because it might ruffle feathers. Well, I have my feather ruffler in hand and, by George, I am going to talk about this!

*slaps ruler against teacher’s desk*

Everyone back in your seats. That means you, Charlie. And Theresa, put that away; no one wants to see that. Joe, I swear, if you don’t pull your pants back up right now… That’s better. Boys and girls, class is now in session. And yes, all of this will be on the test.

Commence Rant 1 of 2…

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So how are you doing?

Raise your hand if you look at your real time sales numbers multiple times a day.

Raise your hand if you actually do something with those sales numbers.

Educated guess: Most published authors who have access to real time sales data check it at least once a day. Very few of those authors will actually get something out of that data, aside from a momentary spike in blood pressure and a mood swing. This is a problem not just for authors, or business professionals, but for everyone in every walk of life. We are inundated with so much data on a daily basis we’re drowning in it. What we need to be doing is converting that data into information we can use in a practical way, and that’s tough to do when you don’t know where to start. So here’s where you start (brace yourself, this will be rather long):

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