Make your digital presence as exciting and dynamic as your food! Today is the best time to implement a digital marketing strategy for restaurants.
There is a perception that the restaurant business is one of the hardest to break into, let alone succeed in. Nearly half of all small businesses fail within the first five years, making starting one a daunting task. What can you do to increase your odds of success when about 50% of restaurants fail within their first five years of operation?
The success of restaurants in this competitive industry depends on many factors, from providing exceptional customer service to optimising restaurant menus and developing an effective digital marketing strategy for restaurants.
Although traditional advertising methods such as flyers, direct mail, and radio ads are still viable, the world has shifted online. A lack of an online presence could be as detrimental as shutting down.
More and more customers are searching for restaurants and ordering food online in recent years. With so many benefits, it’s easy to see why people enjoy ordering food online. After all, what could be better than a delicious meal delivered right to your door?
Today, digital marketing plays a vital role in the restaurant industry. If your business has an online presence, your customers will be able to find you for both dining at your restaurant, as well as ordering online.
Restaurants can experience new customer acquisition and relationship strengthening benefits when they implement a digital marketing strategy for restaurants that is both effective and efficient.
Read the full article at: fandbrecipes.com
This article looks at how we have almost become lazy with our sampling methods. For example when we look up keyword searches like a brand name, it is more effective to look at the whole conversation. Another common metric we use is using sample sets of data, although there is so much data it would be impossible to look at every single piece of data, it is important to set a sample size big enough so that the data has minimal outliers. For example a sample size of 10 might give you a totally different picture than a sample size of 100.
What is not talked about in this article that was touched on in class was the idea of getting the whole picture. For example with software they may be using keywords like they say in the article but it may not have the typical connotation when read in context of the statement.