IFTTT stands for If This Then That. It's a tool that actually lets you build your very own automated actions, called "recipes," so that you don't have to do them yourself. For example, if you want all of your Instagram photos automatically saved to a public folder of your Dropbox account, you can do that by building a recipe with IFTTT so you never have do it manually.
Planned content begins with the creative/marketing team generating their ideas, once they have completed their ideas they send them off for approval. There is two general ways of doing so. The first is where each sector approves the plan one after another, editor, brand, followed by the legal team (Brito, 2013). Sectors may differ depending on the size and philosophy of the business. The second is where each sector is given 24 hours (or such designated time) to sign off or disapprove. If no action is given within the 24-hour period the original plan is implemented. Planned content is often noticeable to customers and is un-original or lacks excitement but is also a safer option to avoid unnecessary backlash from the public. Both routes for planned content are time consuming as in the above; the first way to approval takes 72 hours to be approved. Although the second route can be significantly shorter it also holds more risk particularly in the legal department.
Returning to our above example, say we are running a campaign with a goal of generating 25 new customers over the course of three months. We then need to work our way backward from that goal to identify the steps needed to reach that campaign goal. Below are some questions that we think are worthwhile to ask of your campaigns in order to identify the specific tactics needed to reach your goals.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.