Categories
Online Marketing

4 uses of Artificial Intelligence (AI)in Digital Marketing

Let’s quickly look at some of the typical problems faced by digital marketers. If you are a digital marketer, you will agree that when you launch a campaign across digital media, you have a very little idea about who reades your ads or clicks on them.

So if you have a click-through rate of 1 %, it also means that 99 % of the remaining audience has decided not to click on your ads, for reasons known only to them. This leads to high cost per acquisition and subsequently huge amounts of marketing losses for brands, for example, the other day I posted one of my properties for sale on a website that aggregates real estate properties and from that day onwards the same site started.

Displaying me ads on Facebook for buying my own property, poor quality leads is the greatest cause of rift between the sales and marketing teams. You may be launching a digital campaign to reach out to adult working females, but may end up getting leads from students. If there’s anything that annoys people more than seeing 50 display ads per day from one company, it is seeing the same ads after they have made a purchase.

Maybe somewhere else most of the consumers are fed up with irrelevant content. I see foreign language ads on Facebook when I travel and get ads for categories that I don’t shop. In recently when I was surfing for some old hindi songs, I was shown an ad for a food supplement that is used only for women. So friends, there are numerous other marketing problems that you may be dealing with. However, with the help of artificial intelligence, you think of overcoming those problems and increasing the productivity of your marketing Spence.

The first use of AI in marketing is in improving your targeting using machine learning. You can reach out to the right audience at the right time and location today. Ai systems such as IBM’s Watson and Microsoft, Azure can comb through vast reams of data such as email, clicks, interests, age, location, web sites, visited shopping habits and comments, and conversations on social media customized algorithms are created, which automatically gives close to this audience and then suggests The most relevant audience for displaying your ads.

These insights can be used to create incredibly accurate, 360-degree profiles of existing and future customers. Ensuring that you only target consumers who already have the propensity to buy from you chat BOTS can be used for a variety of purposes. In marketing it can be used to get excellent quality leads chat, BOTS are hosted, live on web sites and powered by a virtual agent engine. Natural language, processing or NLP, which can be lumped in with artificial intelligence, allows a chat, bot application to understand human speech or text messages, including discerning intent.

The chat bot is programmed to understand and respond to online queries and requests. Chat. Bots can also collect pre-sales documents from prospects and gather hot leads in the simplest application. A sentiment analyzer will tell you. If the opinion exists by people about your brand or product is positive, negative or neutral. Did you know that you can customize a chat bot conversation to help the chat? Bots respond to a user sentiment? This technique delivers a smarter and more human-like artificial intelligence which can respond as per the emotions.

People show in a written chat, conversation UX experts and developers can also use this tool and find out what products and features are missing, the mark by analyzing negative emotions and product reviews, depending upon which machine learning model one uses. The efficiency of the analysis varies from 90 to 95 %, for example. Deep forest decision tree model based on neural networks is the latest machine learning model and claims to have the highest accuracy in sentiment analysis.

The fourth use of AI is in predictive analytics. The basic principle on which it works is that a customized system is set up which collects and cleans data, identifies different patterns and predicts the occurrences of unknown future events. During campaigns, you can improve the quality of your leads through predictive analytics with predictive lead scoring. An algorithm is created, considering different information such as lead field and behavioral data, social information, demographics, etc.

From there, the lead scoring algorithm then comes up with a formula that will automatically bucket your leads so that you can easily identify the most qualified ones. This will help you get much higher conversion rates and reduce your cost of client acquisition. Predictive analytics is also used for customer segmentation and sending customized messages to each segment as per their behavioral traits.

So friends, if you found this information useful, do share this short article on for users of AI in digital marketing, with your friends in the marketing fraternity. Thanks a lot for reading


 

Categories
Online Marketing

AI for social good: Neil Sahota, WW Business Development Leader, Watson Group, IBM

We actually seen a proliferation across almost every industry, so actually see artificial intelligence or to be used in like media entertainment in a talent management like human resources in sports management.

So it’s running the gambit, where we’ll be four or five years from now. To be honest, I don’t know I liken it to kind of like the iPhone that no one could really predicted how much it would change our lives. The you know the profession of apps. I all I will say is that 10 years from now pretty much every product or service will have some component of artificial intelligence to it. So this is a great question.

I think you know everyone will tell. You is probably mix of good and bad to it. We’re primarily emphasized it good, and I think the ultimate thing with artificial intelligence is the ability to actually even remove this whole micro segmentation provide a more personalized experience and that could be advertising, but it can also be healthcare. Thinking about that, you can now prescribe the right. You know drug for treatment, app for you, based on your genetics based on your age, health, history and appropriate.

It does so. I think this will be quite the game-changer and I think in terms of socialization. Hopefully, it will free up people to work on more complex tasks. More talk, more complex type of thinking, just progress, the human experience. That’s a good question. I mean our goal is not to take away jobs. Well, some jobs be automated, probably, and we’ve already seen some of that like in the fast food industry, but not because of AI.

I think we have to do is prepare ourselves for jobs of tomorrow. I think we’re moving away from like, if you were think peer requirements to more interactions. How do we actually test those types of things? How do we actually come up with these great ideas? I think for the future people for future workers tomorrow, the photos have to be more on one of these. We called machine learning, cognitive thinking as well tell this type of skills.

I think the ability to think critically and actually come up with new ideas and do deeper analysis is, what’s really going to be the driving force. Absolutely right. This is all cutting-edge. It’s new stuff, we’re learning things as we go forward. I think that we need policies. We need you know, a standard set of best practices so that we’re all working towards the same goal and to make sure that we are doing things that are for benefit of society, not just kind of random events.

I I think that there’s some obviously feeders out there, maybe some are justified. Some are unjustified. Change is hard for everybody, but could some of this stuff being misused potentially, depending on what people really do? I mean we’re. Obviously, we as IBM are not trying to do in these things, but I think we do need. We need some levels of standards, some levels regulations again so that we’re on the same page that there’s a unified understanding of what’s appropriate and not appropriate to use artificial intelligence for sure absolutely so, responsible, XPrize competition.

So we’re really trying to get people to think more about the you know: artificial intelligence of the next wave, and so we’re working here to actually figure out what those big ideas big products actually be and to motivate them, obviously offering the XPrize we’re partnering with IT. We’re partnering with Ted to try and facilitate the understanding, the awareness and the building of these ideas.

Starting a business is not easy! Think about who will be working on your digital image. Hiring a good webmaster will help!

 

Categories
Online Marketing

4 uses of Artificial Intelligence (AI)in Digital Marketing

Let’S quickly look at some of the typical problems faced by digital marketers. If you are a digital marketer, you will agree that when you launch a campaign across digital media, you have a very little idea about who reades your ads or clicks on them.

So if you have a click-through rate of 1 %, it also means that 99 % of the remaining audience has decided not to click on your ads, for reasons known only to them. This leads to high cost per acquisition and subsequently huge amounts of marketing losses for brands, for example, the other day I posted one of my properties for sale on a website that aggregates real estate properties and from that day onwards the same site started.

Displaying me ads on Facebook for buying my own property, poor quality leads is the greatest cause of rift between the sales and marketing teams. You may be launching a digital campaign to reach out to adult working females, but may end up getting leads from students. If there’s anything that annoys people more than seeing 50 display ads per day from one company, it is seeing the same ads after they have made a purchase.

Maybe somewhere else most of the consumers are fed up with irrelevant content. I see foreign language ads on Facebook when I travel and get ads for categories that I don’t shop. In recently when I was surfing for some old hindi songs, I was shown an ad for a food supplement that is used only for women. So friends, there are numerous other marketing problems that you may be dealing with. However, with the help of artificial intelligence, you think of overcoming those problems and increasing the productivity of your marketing Spence.

The first use of AI in marketing is in improving your targeting using machine learning. You can reach out to the right audience at the right time and location today. Ai systems such as IBM’s Watson and Microsoft, Azure can comb through vast reams of data such as email, clicks, interests, age, location, web sites, visited shopping habits and comments, and conversations on social media customized algorithms are created, which automatically gives close to this audience and then suggests The most relevant audience for displaying your ads.

These insights can be used to create incredibly accurate, 360-degree profiles of existing and future customers. Ensuring that you only target consumers who already have the propensity to buy from you chat BOTS can be used for a variety of purposes. In marketing it can be used to get excellent quality leads chat, BOTS are hosted, live on web sites and powered by a virtual agent engine. Natural language, processing or NLP, which can be lumped in with artificial intelligence, allows a chat, bot application to understand human speech or text messages, including discerning intent.

The chat bot is programmed to understand and respond to online queries and requests. Chat. Bots can also collect pre-sales documents from prospects and gather hot leads in the simplest application. A sentiment analyzer will tell you. If the opinion exists by people about your brand or product is positive, negative or neutral. Did you know that you can customize a chat bot conversation to help the chat? Bots respond to a user sentiment? This technique delivers a smarter and more human-like artificial intelligence which can respond as per the emotions.

People show in a written chat, conversation UX experts and developers can also use this tool and find out what products and features are missing, the mark by analyzing negative emotions and product reviews, depending upon which machine learning model one uses. The efficiency of the analysis varies from 90 to 95 %, for example. Deep forest decision tree model based on neural networks is the latest machine learning model and claims to have the highest accuracy in sentiment analysis.

The fourth use of AI is in predictive analytics. The basic principle on which it works is that a customized system is set up which collects and cleans data, identifies different patterns and predicts the occurrences of unknown future events. During campaigns, you can improve the quality of your leads through predictive analytics with predictive lead scoring. An algorithm is created, considering different information such as lead field and behavioral data, social information, demographics, etc.

From there, the lead scoring algorithm then comes up with a formula that will automatically bucket your leads so that you can easily identify the most qualified ones. This will help you get much higher conversion rates and reduce your cost of client acquisition. Predictive analytics is also used for customer segmentation and sending customized messages to each segment as per their behavioral traits.

So friends, if you found this information useful, do share this short article on for users of AI in digital marketing, with your friends in the marketing fraternity. Thanks a lot for reading