Prenda interior femenina diseñada por la agencia digital OgilvyOne Athens
“Éste es el primero y único sostén que tuitea con la misión de recordarte la única cosa que no debes olvidar jamás: tu inspección mensual de senos”
La compañía presentó una serie de modificaciones que busca ordenar y facilitar la visualización de las reacciones y respuestas que generan las publicaciones en la plataforma de microblogging
– Trendrr Blog (https://blog.trendrr.com/2013/08/28/trendrr-joins-twitter/)
I love data. I’ve spent the last 5 years of my career dedicated to doing research on huge datasets of hundreds of thousands and millions of rows to reach best practice conclusions. And those conclusions are great for experimentation with specific brands and audiences.
But the real power comes when you begin analyzing your own, individual sets of data so you can find out what kinds of content, timing, and behaviors work best for your specific audience.
Enter RetweetLab.com! Using this free tool, you can analyze any Twitter account — including your account or a competitor’s account — to unearth the data you need to get more retweets. The tool works by allowing you to compare your current behaviors (the small graphs in the text) with the behaviors that are correlated with your account getting more retweets. Here’s how you can use this new, free tool to analyze and improve your own Twitter presence.
How to Use RetweetLab to Analyze Your Twitter Marketing
Let’s start with something we’re all familiar with — the Twitter hashtag. Ever wonder how important it is to spreading your Twitter content? RetweetLab can help you understand that.
The graph above details the effect of hashtags on retweets for my account, @DanZarrella. You’ll notice that the vast majority (93.4%) of my tweets do not contain a hashtag; but those tweets thatdo contain a hashtag tend to get more retweets. I may want to think about experimenting with more hashtags in light of this data, right?
Time of day, especially in the cluttered Twitter stream, can have a huge impact on your effectiveness, too. Take a look at what the hour of day breakdown shows us, this time from an example using the @HubSpot account:
We see that our account sends the most tweets at 2 p.m., but that tweets at that time seem to get fewer retweets than the rest of the day. Based on this, maybe we should experiment with more tweets in the morning, rather than afternoon — as you can see, around 8 a.m. we do quite well with retweets, and even much later in the night, around 10 p.m. Leer más “HubSpot Launches Free Tool to Analyze the Shareability of Your Tweets – by Dan Zarrella vía @hubspot”
Meet @DearAssistant, a Twitter bot that is like a mini version of Siri. You can tweet your questions in plan English and the bot will reply with an answer.
The Twitter bot is internally using Wolfram Alpha so there’s a whole range of questions that it can answer. Here are some questions that people have asked @DearAssistant so far:
- How many calories are in Diet Coke? (link)
- When was Mahatama Gandhi born? (link)
- What is the distance between city A and city B (link)
- Who directed the film M (link)
- What is the price of Kindle Paperwhite (link)
You can also ask the bot for word meanings, weather conditions, language translation, to convert between time zones, date calculations (how many days until Christmas) and more.
Writing a Twitter Bot – The Basic Ingredients
A bot is essentially a program that is always running in the background and whenever it encounters a command (tweets in this), it processes it (based on the text of the tweeet) and sends a reply to the tweeter in another tweet.
Earlier, you would need a web server to run the bot while the bot itself would be written in languages like PHP, Perl or Python. That’s complicated so we will use Google Scripts to write the Twitter bot and host it on our Google Drive.