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Showing posts with the label market intelligence

How restaurants win hungry shoppers

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

How marketers act on consumer search behavior intent to drive growth

Acting on consumer search behaviour intent is one of the keys to drive growth. Today consumer go online to expect immediate answer for their queries. The things they search, sites they visit and videos they watch are not expressing intent actually they are shaping their thinking to expect answer what they are looking for. And marketers with the help of marketing technology collect all the signals that consumers left behind their search to gain insight that can help to predict consumer search behaviour intent. But what about the underlying consumer needs that drive intent in first place? As a marketer, you don’t wake up feeling intent. You wake up feeling a need of the consumer. It’s clear in the way people talk, or search “I need something.” “I want something.” and even in the way they search. That sort of natural language is increasingly used in search queries. Search, of course, is a powerful tool for both consumers and marketers. When it comes to search, people are litera

Learn How Top Companies Build a Better Data First Strategy

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

Enhance your business with customers behavior data

Today business using big data & machine learning to learn about customers behavior. With customer behavior analytics, business is able to make data-driven decisions because they have an individual-level view of their customers. When business know exactly what customers want, what they do and look for, and how they may act in the future, they are in a better position to create personalized customer experiences and increase customer loyalty. McKinsey  found  that 50% of companies making use of customer behavior analytics are likely to have sales significantly above their competitors, 6.5 times more likely to retain customers, and 7.4 times more likely to outperform competitors in making sales to existing customers. Overall, organizations that correctly utilize customer behavior analytics are 19 times more likely to achieve above average profitability. If you want to enhance your business performance and make improvements in your marketing campaigns, then, here are some pra

In the age of assistance, delivering growth starts with predicting future by beholding data

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 —

Can you achieve the business outcomes without the right measurement?

You can’t achieve the business outcomes without the right measurement. Today market is number  market. If you can’t measure it, you can’t do it. So, some years back, when people started talking about organizing their brand around the customer, I thought, “Yeah, but what does that  actually look like?” Fast forward to today: We’ve turned that jargon into a reality. Below are the questions put on the path to better measurement: A Better Strategy for Measurement Is your company set up to give you an aggregate view of the customer journey ? If your answer is the latter, I can guarantee you’re getting a ripped understanding of your customer, and you’re not set up to measure for growth. At the top level of your company, your business goals are to attract new customers _ engage them for long term relationships and delighting strategies ensure customers are happy, satisfied, and supported long after they make a purchase . Rather than individual channel teams, now you have two

Top Marketers use Machine Learning & Artificial Intelligence to drive growth

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

Voice Integration Is Going Up Everyday

What is Voice Integration? The first question in our mind is simple: what is voice integration? If you aren’t already familiar, voice integration is the act of using voice recognition software to seamlessly work with outside platforms for a streamlined process. Common examples of  voice recognition  include Google Voice, Amazon Alexa, Microsoft Cortana, and Apple’s Siri. Each of these programs are trained to learn patterns in speech and then recognize commands and questions in order to find solutions. While this process has taken awhile to perfect, Google’s machine learning algorithms have reached  95% word accuracy  for the English language. This is the brilliance of the technology, as the program is continuously receiving new data and learning from its own mistakes to perfect the process. What are the causes people shift towards voice? The main driver of the shift towards voice user interfaces is the changing user demands. There is an increased overall awareness

Optimizing Business Performances

Business process optimization is a technique to help organizations improve their performances by improving their processes. Optimized processes lead to optimized business objectives. Some examples of business optimization: ·         Eliminating redundancies ·         Be up to date ·         Streamline workflows ·         Make your business model user friendly ·         Unique business model makes on customer values ·         Forecasting Changes Today businesses are trying to be more effective in their operations to optimize results . Your business is in constant competition and threat from other business, disruptive technologies, and changing norms. Optimizing business processes offers many benefits that can help businesses stay adrift in the sinuous waves of change: ·         Market Compliance ·         Reduced Risk ·         Well used resources ·         Assured trait ·         End to End Visibility ·         Consistency ·         Business Growt