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

Fundamentals of Marketing Basics (Part 2)

Some of the top global brands are coca-cola sony, mercedes-benz, Disney, Nestle, Toyota, McDonald’s, Microsoft, Pepsi Cola, Sergey, Oh Simon, is the former chief marketing officer for the coca-cola company and he says the whole reason for creating a brand is to get consumers to identify a number of Desirable qualities and traits with your specific product, and what he’s saying is a branders goal – is to create a relationship with your customer, so their life feels more complete because you’re in it – and I love this quote from a Chicago mutual fund manager – he says harley-davidson is Maybe the best brand name in the United States now coca-cola is a pretty good brand name, but people don’t tattoo it on their bodies, how many brands get permanently etched on people’s skin? Well, here’s a good example of how brand value can be measured.

It’s the premium! People are willing to pay to be associated with a specific brands products, for example a Mickey Mouse ball will cost you three dollars and 95 cents, whereas a jack-in-the-box ball will only cost you 99 cents and they’re often thrown in free as special promotions. But we pay more for the Mickey Mouse ball, not because it costs more to make or has a higher intrinsic value, but because we are willing to pay extra to be associated with a brand.

We love more than another and just one final term to consider now. I have a background in television news and we always talked about audience share back when there were just three big contenders among the national networks, ABC CBS and NBC, and how the pie was divided between those three was considered our market share and the concept applies to Other competitors within a given product or service category and simply answers the question: how big is your piece of the pie? So here’s a quick summary of some key marketing concepts.

There’s the marketing mix, including the facets of price product place and promotion, and the four C’s of consumer side marketing, which are cost customer value convenience. A communication important to consider, as you find your way in the 21st century marketplace and positioning and targeting answering the fundamental questions of what you have to offer and just who you’re offering it to and value proposition or the benefits of what you have to offer and Product dimensions or the different aspects of your product or service and the demographic segments you may specify in your market campaign, especially the three key segments of age, gender and income and brand value, or how affectionate people might feel towards your product or your service and market Share or simply how big is your piece of the pie and there you go.

It’s hardly a comprehensive list or analysis of the terms and concepts, but it’s a good launching point as you move ahead in your studies of marketing.


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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