Latest Digital marketing Trends

We all have to eat. And when people are on the go especially during the busy holiday shopping season they’re often looking to grab a bite close by. We all know this because “restaurants near me” has been the most popular “near me” search for the last five years. Also, despite the growth in online shopping, more than half of purchases still happen in-store during the holidays. And when you consider food-related and restaurant searches, like “restaurants,” “restaurants near me,” and “food near me,” commonly appear in the top 20 searches for many retailers, it’s easy to see why the holidays are critical for restaurants. As proof, a recent study conducted by Google and Numerator found that of the top highest sales days for restaurants last year, 72% of them occurred in October, November, and December. That said, it’s clear restaurants around the world have a unique opportunity to turn hungry holiday shoppers into your next customer. For brands looking to win more foot traffic th

Fraud detection is one of the top priorities for major banks and leading financial institutions, which can be addressed using machine learning. In banking, fraud may include falsify checks or using stolen credit cards. Other forms of fraud may involve emphasize losses or causing an accident with the sole intent for the pay-out. With an unlimited and increasing number of ways someone can commit fraud, detection can be difficult to accomplish . Activities such as downsizing, reorganization, moving to new information systems or confront a cybersecurity breach could weaken an organization's ability to detect fraud. This means facilities such as real-time monitoring for frauds is recommended. Organizations should look for fraud in financial transactions, location, devices used, initiated sessions and authentication systems. How do you detect fraud? The basic approach to  fraud detection with an analytic model is to identify possible predictors of fraud associated with know

Data empowers marketers to make better decisions and take smarter risks, but sometimes the best intentions lead to the wrong solutions. Understand data isn’t always easy, and I’ve seen marketers come up short by not allowing themselves the space to learn, grow, fail, and improve from their collective experiences. You can learn from that campaign who falls short of its goal and teach better as much as that meets your goal and succeeds. Marketer wish to do the right thing from their learning and make campaign successfully meet the goals. We spent time on Google leading analytics not only studying the technical aspects of measurement and relationship that users form between audience trough digital media, but also understands how top companies strengthen their strategy using analytics . Also see companies make common mistakes with data and refusing themselves to experiment and doing the same thing with minimal growth. One common mistakes marketer can make is to look data i

As a marketer, chances are you’ve used consumer insights to understand what your customers want and then delivered relevant experiences to them. But have you ever used intent signals to predict what your customers want? Today, marketing technology allows you to do just that. The reality is the customer journey is nothing short of dynamic. As the journey continues to shift and change shape, it’s becoming harder for marketers to make sense of all the consumer intent signals people leave behind. Because as people look for what they need, they switch between channels and devices. They may conduct a research and saw the journey of the customer from start to end. Marketers have had to navigate these twists and turns by juggling first- and third-party data, probabilistic modeling, or remarketing. But all of that manual juggling simply won’t cut it. Today’s consumers expect more. They want assistance at every step. Therefore, as marketers, we need to be one step ahead of our customers —

As a business, you know how hard it is to keep up with customers today. People have become research obsessed for most purchases and expect brands to assist them in a personally relevant way at every stage of their purchase journey.   Machine learning is one automation tool that can boost your efforts to meet people’s high expectations. Machine learning can help to create automated marketing campaigns, at scale, that place the right message in front of the right customer at the right time at the right price, delighting people and delivering the business results marketers want. We talked  with top brands decision makers who have adopted machine learning to improve their marketing, we’ve found that the top-performing brands are applying these below rules and asking themselves these questions to achieve goal with automated marketing: Optimize your campaigns for growth : Machine learning is only as good as what you ask it to optimize. Top performers optimize the c

Automation and machine learning technologies are changing the way marketers drive results for their customers and brands. But there’s still a significant gap between those who are just talking about machine learning and those who are taking action. For marketers looking to become leaders in their field, this is an exciting time. It’s a chance to make your mark, get ahead of competitors, and drive real results. To explore this shifting landscape, we partnered with the Massachusetts Institute of Technology Sloan Management Review (MIT SMR) to conduct a global survey and interview over a dozen executives and academics about their use of automation and machine learning technology and the results they’re seeing. Do more with your data Companies with appreciations to use machine learning have more ability to drill-down and see their KPI data in greater detail. This can lead to increased knowledge sharing and transparency, and help teams work together to make smarter , data-dr