Wouldn’t it be excellent if you can permit your customers to understand approximately a deal, special, or last-minute promotion instantly? Furthermore, how do you always live connected in your target audience in an increasingly digital international, wherein users are spread across more than one social systems? With human beings as busy as they’re nowadays, retaining your clients in the loop is not an easy mission. Email advertising isn’t always as precise because it was once and speak to broadcast structures are intrusive, now not as short and alternatively pricey.
Brands these days need to get creative once they’re taking into consideration ways to drive visitors to their websites. It’s about greater than definitely presenting great-price services or products, or maybe having a solid social media following. As you’re searching out ways to grow the number of visitors in your internet site, there’s a new emerging trend for selling your enterprise – that of messaging apps.
Chat apps have functionality like no other era before – inside a single app, customers can chat with pals, communicate with manufacturers, play games, make calls, eat content, shop online and greater. This stage of functionality has seen messaging apps collecting over 5 billion monthly energetic customers global.
Driving Traffic on your Website with the Right Messaging App
As visible in the following infographic – there are numerous messaging apps that let groups market to their huge, engaged user bases. Slack, Facebook Messenger, WhatsApp, and Kik are, by some distance, the most popular for content material distribution and the execution of hyper-focused and customized campaigns. Their broad capability offers organizations with the option to provide well-timed customer support, ship content material to users, promote merchandise, and market it.
One of the most attractive characteristics of messaging apps for groups and entrepreneurs is their higher retention and usage rates than those of maximum cell apps. Communication, particularly for more youthful generations like Millennials and Generation Z, is the top issue that dictates their conversion into ordinary clients of a product or service. For this purpose, messaging apps like WhatsApp and Kik are especially beneficial in using site visitors in your internet site as you’re able to interact with your target group a lot greater than with traditional social media following.
The viable integration of social media profiles with a friend chat and favorite emblem engagement is at the core of messaging app adoption amongst consumers. Ease of use, centered commercials approximately services and products they may be inquisitive about, and better manipulate the content they obtain are all elements for cell customers nowadays. Brands that take gain of the features of messaging apps to optimize their ads based totally on person demographics and pursuits in addition to supplying keyword-prompted responses and content material have the most success in driving visitors to their blogs and websites.
With messaging apps slowly replacing conventional SMS (short messaging service) as a preferred approach of textual content-primarily based communique, organizations that leverage their ability are reaping a host of rewards. Since 2017, online journey companies such as Goibibo and MakeMyTrip had been the use of WhatsApp to percentage booked tickets and different journey-related information with clients. Goibibo has even evolved an AI-powered chatbot, GIA, to respond to customers’ queries without human intervention. This has allowed the employer to hurry up response instances and improve customer support especially.
Apart from customer service, chatbots can deliver greater visitors on your weblog through sending clients personalized bites of content. This can in addition cause conversions.
Retailer brands also are taking gain of those new communique media considering most people of telephone users are well-versed with cellular apps which include WhatsApp, Kik, and Facebook Messenger. The conversational experience that businesses are capable of providing is the driving factor in the back of growing engagement with their audience.
Retailer manufacturers, such as H&M, Diesel, Kenneth Cole, and Zegna are an enticing extra in so-referred to as ‘conversational commerce’ and the usage of messaging apps to share snapshots of merchandise or other such promotions periodically. It is all about offering personalized offerings, and structures like WhatsApp allow that.
Ways Messaging Apps Drive Traffic to Websites
As younger customers circulate away from computing device reports and closer to cell apps, messaging has emerged as the following leap forward conversation platform for manufacturers. The remarkable engagement allows them to develop their user base and income, and drive visitors thru:
Real-time Customer Service: Messaging presents a continuous thread between patron and logo, observe-up communication is made simpler and extra herbal. This will increase opportunities to move-promote encourages sharing, solicits enter and creates a continuing go with the flow of trade and assist.
Personalization: Customers value non-public offers and direct engagement with brands. Messaging apps provide greater freedom to control and customize the interplay along with your customers the use of one-on-one conversation. This enables you to construct an immediate dating, wherein clients can message you in the event that they need a selected product, have a query or need assistance.
Target Advertising: Approaching the ones groups that are probably interested in your product or service is a great deal less difficult with messaging apps. They allow you to create or target humans which can be interested in associated subjects based on positive key phrases. The result is greater customers consuming the content material, becoming a member of the organization and sooner or later turning into customers.
Organic transition: With only 32% of customers sending an email or calling a patron helpline in the event that they have an issue or a query, messaging apps provide a clean transition from automated chatbots to live support. Using messaging apps because the vital interaction factor with purchasers no longer best reduces call and email extent, however, provides a singular view of the purchaser’s adventure. As an end result, it’s far less complicated for manufacturers to supply the customized customer care these days’ shoppers assume.
As messaging apps keep growing in reputation, brands could be smart to undertake them as they interact customers with the fastest quantity of time and excellent way viable. Given the evolution of patron expectations, messaging apps are the most ideal manner for brands to offer fast, convenient and actually beneficial assistance. This outcome is better engagement and more affinity with consumers who then drive traffic to your internet site and increase the economic benefits related to unswerving customer relationships.
Project management had always been practiced informally but has recently emerged as a formal profession due to the demand for specific skills and domain knowledge required for project management.
Today, project management has come a long way. Long enough to warrant discussions about the impact that Artificial Intelligence (you can’t escape it) could have on the domain. By now, most industries have accepted that Artificial Intelligence and Machine Learning are not dystopian nightmarish technologies that will steal their jobs but are in fact amazingly useful.
Artificial Intelligence engenders productivity by automation of mundane routine tasks (which previously consumed a huge chunk of time) and allows managers to focus on things such as analysis, decision making, and providing insight. Which is incidentally what they were hired for. It has opened up a brave new world for managers, especially for Project Managers.
Project management is an extremely dynamic function. It involves more than simply planning the phases in advance because once the execution of the pData Accuracyhases starts, there is a multitude of external and internal variables that come into play. Project Managers generally plan the schedule, estimate cost of resources and then monitor the deployment of personnel and tasks. There are changes, updates and rescheduled tasks at every stage of a project because of the ever-changing business environment.
This is how Artificial Intelligence can come in and revamp Project Management.
- Improve Learning Capabilities in Project Management
AI could potentially be used for deploying the right person for the right project. Depending on employees’ past performance in different projects, Machine Learning could ascertain the suitability of their selection for a particular project, keeping in mind their specific skills and strengths. In addition to this, by taking into account external factors that are difficult to predict, the use of AI can improve completion rates significantly. Project Managers can use this knowledge to estimate the kind of roadblocks and possible setbacks the project could face in its normal path. It improves the learning capabilities of both the team members and the Project Managers on how best to go about a project the next time.
- Many teams have trouble maintaining data for their projects in a systematic and structured manner. More often than not, there are gaping holes in the data entered by teams into their project management software. The result is an incomplete, unstructured mess of data. Artificial Intelligence can fill in these data gaps. Eventually, they can prompt users to adopt better data entry practices and work with them to improve the quality of data entered.
- Early Problem-Detection
Many times a project may be derailed due to a small problem that puts a spanner in the works. It may be that somehow the possibility of such a problem slipped the minds of the team members as well as the Project Managers; they are only human, after all. Artificial Intelligence employs metadata and data analytics to predict problems based on external variables as well as on past performance and behavior of team members in similar projects. Thus the Project Managers receive detailed knowledge on the kind of obstacles/roadblocks that the project is likely to face. They can take the appropriate measures to tackle the same in the early stages or to obviate the need to confront these obstacles altogether.
- Better Communication
This is not a direct impact of the use of AI in project management but is a by-product. As a routine, non-essential tasks are automated, Project Managers can direct their powers of persuasion where they’re really needed: in better, more effective communication with team members, employees and project stakeholders. Project stakeholders do not want to be reassured by a chatbot spewing a pre-written script. Nor do team members want to be given a pep talk by a humanoid robot. The fact remains that human qualities such as empathy, emotional intelligence, diplomacy, and communication will remain significant for ages to come. And it’s the job of a project manager, or any manager, to embody these qualities and add value to the organization by doing so.
- Improve Assessments to Identify Risks
In Supply Chain Management, AI is being used to provide real-time tracking updates on drivers and tasks. Any shipping errors or discrepancies are visible in advance and can be handled better. AI can do the same for project management. Clickup is a recently launched project management tool whose algorithms can revise time estimates and predict deadlines that won’t be met. Basically, Project Managers could receive a checklist of risks that could potentially arise, giving Project Managers ample time to assess the scenarios and devise solutions for the same.
- Improve Productivity
Positive transformation is all about productivity. Improved learning, reduced idle time, and automation of routine tasks all add up to the improvement of productivity of the entire workforce or team. AI-driven solutions such as harmon.ie sort through communication across various channels and consolidate relevant information from all your apps. Team members will do more in less time, and they will do it better. With increased knowledge and risk aversion techniques available at their disposal, Project Managers will also be able to be more productive, provide better insights, and deliver better quality projects to the company.
- Taking Over Administrative Tasks
Project management AI will be instrumental in removing the mundane, routine tasks from a project manager’s itinerary. Instead, it will automate these tasks, and administrate without the need for human input. By removing these administrative tasks, Project Managers can add more value to the project and get more work done at the same time.
It is apparent that Artificial Intelligence has an immense scope for application in project management. We have seen the benefits that it can bring to Project Managers as well as team members by reducing the time taken and improving productivity. AI could serve as powerful virtual assistants to Project Managers in the form of chatbots such as Dialogflow. Apps such as Forecast and Clarizen help them learn from their mistakes, avoid common pitfalls, and improve the quality of projects. What’s more, it allows for a greater focus on the human aspects of project management. One wonders if all the AI skeptics and naysayers are simply opposed to a progressive way of working.
Remember the recent Elon Musk and Mark Zuckerberg clash on the future of Artificial Intelligence? So, my colleague and I were discussing the topic and after a while she said she doesn’t understand machine learning & Artificial Intelligence fully.
Are you one of those, who understand the basics of AI, the robots and more; yet when it comes to deep and in depth technical understanding, it suddenly becomes confusing? If yes, worry not for you have landed at the right place. We’ll try to understand Machine Learning like a beginner.
Let’s start one thing at a time, beginning with an algorithm. So what is an algorithm? “An algorithm in simple words is a step-by-step detailed instructions to do a particular job.” In computing, it is a set of simple rules that instructs a computer how to perform a task. Generally, we need to program our computer on how to carry out a task and this is the building block of Machine Learning. In 1959, Arthur Samuel sparked the discussion on Machine Learning (ML), stating that ML gives, “computers the ability to learn without being explicitly programmed.”
The above image explains the evolution of Machine Learning over the years. But to simplify things further, we need to know the terms that are thrown in passing when we study this concept.
Artificial Intelligence in simple words is the simulation of human mind where machines work and act like humans do. Over the years, it has always been a part of our world and is not at all a new concept, flying cars in cartoons like The Jetsons to Wall – E in recent times.
AI evolved further giving birth to a new concept, Machine Learning, where machines were fed data and instructions to execute tasks. But what about behaviour or how our brains respond? How do machines take a decision? Knowledge is the building block and an integral part when it comes to learning. This is where another algorithmic concept called Artificial Neural Networks and Deep Learning came into being. ANN enables the machine to form connections much like our brains form them with the help of neurons and deep learning helps in better prediction. Today, various applications run on the learnings of deep learning and have improved significantly.
What is Machine Learning
Now and Tomorrow
But the bigger question is how does all this affect us? Does it only stay confined to the textbook theories and fantasies of an advanced future or is it deeply embedded in our lives? The answer lies within, we are surrounded by Machine and Deep Learning and we don’t even realize. From Google translate, predicting cancerous tumors in patients, MRI scanning, e-mail spam filters and even the ride sharing feature on Uber and Ola, all these things have been made possible with Machine Learning. Social networking, online shopping and even smart assistant devices on mobile phone are some of the examples of Artificial Intelligence.
All the distant fantasies created by AI are now coming to reality thanks to advancements in Machine Learning. AI is said to be the future of the human civilization, and the days of smart cities and self-driven cars may not be far behind. But more important than anything else is to understand the difference between the three concepts. Although they are interlinked to each other, they are in a nutshell a separate entity that operates individually.