The Truth About Menu Boards

Digital Menu Boards are utilized in less than 20% of restaurants in overall nation. The other 80% are needlessly missing out on some incredibly easy and effective ways to increase the bottom line.

What’s today’s special?

Over half of restaurant customers look to menu boards specifically to find out what’s on special. But incredibly, almost half the time the very information that these eager customers were looking for, literally with their money in their hands, was nowhere to be found! For the 80%, it’s easy to see why. Imagine how difficult it would be to change static chalkboard signage every time you change your special. For owners of digital display systems, what’s on your display can be changed at the touch of a button, with the changes automatically reflected in your POS system, too.

This disadvantage is especially crushing if your major target consumers are younger. The Millennials, perhaps the most important demographic for QSR establishments, are less set in their ways about everything, including the food that they eat. They are looking for new food experiences and your meal specials are prime candidates. Why would you want to miss this opportunity?

One picture is worth 1000 words:

QSR customers are in a hurry. They won’t take a time to read lengthy explanations. That’s why pictures are essential, especially if you’re promoting a new menu item. A tantalizing vision of your latest promotional special, in all its mouthwatering glory in living color, will have your customers reaching for their wallets far faster than any verbal description. While posting great pictures is as easy as a few taps on a keyboard for operators boasting digital display systems, it will present much more of a challenge for those still stuck with chalkboard or painted signage.

Greater control with digital signage:

For franchises or other types of multi-site operators, what customers see on menu boards can be centrally controlled. A new limited time offer and new pricing can be made to appear at all your locations, whether they are on the other side of town, or on the other side of the continent. And, if you’re spending millions on advertising that great new blockbuster offer on the web and on TV, you want to make sure that what your hungry, eager customers see on your menu signs is in sync with the expectations that you spent so much time, effort and money in creating.

Decisions to Be Made for Analytics Training

Ways in which you can identify the kind of analytics training you need

Many people inquire about ways in which they can further the knowledge that they have in analytics. This is an industry that is still in its infancy and there are many developments that are bound to occur in the future. It is therefore important to choose the right kind of analytics training that will get you ahead and keep you current.

The boom in training

In the recent past, analytics education has experienced a boom. Some of the training is done in classes, some use software while there are also workshops and online tutorials that have become profuse. This makes it quite hard to identify the best program to choose. The other issue is the lack of clarity regarding pertinence, practice and process so as to clearly tell people what is really needed to succeed in analytics.

What do you want to do?

This should be the very first step regardless of the career in question. What kind of role currently or in the future are you aiming at? Do you want to be a data scientist or an analyst? You may also be a business professional looking for a way to leverage analytics into your daily workflow. There are also those who seek to make a transition within their career to become analysts. When you have made a clear determination of where you are at and what industry you are in, you will be in a better position to choose your path.

Identify the skills gap

When it is clear to you exactly what it is you want to do, it is time to identify the skills gap. One of the things that should be noted is the fact that the skills needed in different areas like marketing, product development and so on are different from those needed by a data scientist. There are many analytics skills that successful professionals apply. They should be able to get data from different sources and then organize it to be able to analyze it.

An analyst must learn different techniques to successfully extract value from the raw data. An analyst should also be in a position to work with the different stakeholders through effective communication.

Choose the best training option

When you have clearly defined the skills gap, you should be able to choose the best training option. The kind of training that you need is usually based on the gaps that you intend to fill. It also depends on exactly what you want to do.

There are several options when it comes to training. There are universities that offer a master’s degree in this area. The programs are usually ideal for persons who don’t have any kind of professional experience but want to handle analytics roles. The programs are usually comprehensive but can be time-consuming. You can also choose the online options that are quite accessible.

Local universities also offer some semester courses. It may be wise to also keep an eye open for the professional workshops that are usually held by major companies.

3 Surprising Ways Artificial Intelligence Can Push Marketing and Advertising to the Next Level

Artificial intelligence is going to change everything we do in advertising and marketing, but not in the way we think. The truth is that if used correctly, RPA software and intelligent machine learning can give companies and agencies the power to provide extraordinary experiences for customers. The kind of campaigns that move the customer on an emotional level.

After all, that is the key to a loyal customer base. The people who come back again and again because they know on a gut level that a business understands them. Steve Jobs saw this after a calligraphy class inspired his design for the iconic mac fonts. Creativity and intelligent automation seem like the furthest concepts from one another, but in fact, they are intrinsically connected.

We are currently drowning in a sea of data. This data contains valuable information about consumer preferences, their likes, and dislikes. The key to creating something that consumers truly want. Even giants, such as holding companies dedicate a massive amount of resources to crunching the numbers.

Combining AI with creativity can open up a whole new field of marketing and advertising. There are three ways this can take shape, and they are all interconnected.

Targeted Experiences – when you add AI to the marketing mix, it opens up a whole new category in the funnel. This means curated experiences for every different type of customer in the market. Capturing Millenials and Baby Boomers with the same campaign, using powerful messaging that appeal to each group. This isn’t the stuff of tomorrow. Many agencies are already deploying AI technologies to their advantage and producing creative that works across the board. According to Entrepreneur, AI will help companies target customers more accurately and place budget dollars where they belong.

Tighter Budgets – speaking of dollars, the analytical power of AI software will help solve one of the most age-old problems in advertising. Funding campaigns that deliver on ROI and help companies take calculated risks that pay off. Marketing and creative wants the budgets to be higher, and businesses want to cut costs. There is no “right” or “wrong” party here. A large part of advertising is trial and error, but that means wasted money. However, when businesses and agencies use intelligent machine learning software to analyze customer data, a lot of the guesswork goes out the window. This creates a positive feedback loop, where money can flow to the projects that need it and build richer marketing experiences.

A Marriage of Creative and Data – any marketing manager worth their salt knows that the best creative is made possible by data and analytics. Machine learning algorithms are making this symbiotic loop stronger. They perform elaborate functions without slowing down the customer experience. This allows creative teams to get fast feedback, giving businesses time to change their approach and become agile. Instead of waiting for analysis to determine if a campaign is resonating, with MLA’s, companies can get results almost in real time.