Aruze Digital Marketing

Artificial Intelligence in digital marketing 2020

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Artificial Intelligence (AI)

Before digging deep, lets understand the terminologies.

As a layman definition, AI means intelligent devices. AI devices are well equipped for self-learning or program free.  We are using this technology in our day to day life, namely, Siri, Alexa, Google assistant, chatbots and humanoid robots like Sophia.

We can no more think without AI in marketing.  Artificial Intelligence in digital marketing is the use of the internet, mobile devices, social media, search engines, and other platforms to target customers with understanding of specific consumer’s approach and how consumers contrast with conventional marketing. AI has begun to grasp Intelligence Quotient(IQ) and Emotion Quotient(EQ)  of Human. Digital devices are smarter now, with deep learning, and they can vary as fruit as Orange and orange as colour. Artificial Intelligence (AI) is at the forefront, boasting impressive monitoring and analytics tools that help marketers make better choices, generate more sales and improve consumer acquisition.

AI in digital marketing

Traditionally, we define an algorithm as a set of instructions that tell machines what to do. And these algorithms are becoming more complex day by day. When it comes to AI, the machine creates its own algorithms, determine new paths and unlock unlimited potential. Artificial intelligence is built on machine learning and deep learning. Hence, it learns from user experience to suggests algorithm instead of human to achieve marketing goals.

Use of AI in DM: AI can predict consumer behaviours and helps to do planning, production, personalisation, promotion by turning data into intelligence through automated narratives and insights. AI tools are helping marketers to achieve the following at peace of mind.

  • Predictive Analytics: IBM Analytics, Marketo, Tableau
  • Content Discovery: CONCURRED, BrightEdge, Crayon, MarketMuse and Acrolinx
  • Content Creation: Wordsmith, Articoolo, Heliograf and Quil
  • Content Curation: Curata and Stackla
  • Email Subject Generation: Boomtrain, Phrasee, and Persado
  • Influencer Marketing: AI-powered influencer marketing platforms help in discovering a more scientific approach to unlocking the true worth of influencer marketing. AI technology offers an accurate and transparent framework for proving the return on investment. AI helps Identifying the perfect set of influencers for your brand. It Predicts the success of your campaign or ROI. Also Recommends content format/direction.
  • Media Buying (price bids): Adtext, Trapica. Frank and Zalster
  • Lead Scoring: AI do study of demographic, behavioural factors or a sales qualifying framework such as BANT (Budget, Authority, Needs, and Timeline) to determine which leads have the highest likelihood to convert from being a prospect into a customer.
  • Marketing Automation: It often takes a lot of resources to operate the marketing technologies stack – from lead generation, lead scoring to lead nurturing. AI and marketing automation can help reveal customer journey behaviour insights to reach them at the most critical and impactful touch points.
  • Chat Bots: Chatbot powered by AI is its ability to answer open questions. These bots use natural learning processing and machine learning to suggest the correct response. We can use Facebook bot tools, like wit.ai bot, to train bots in example conversations and make them continually learn from their user interactions.

Three Tips That Can Improve Your Marketing

Online buyers has drastically increased on internet, marketers had to shift from traditional marketing to internet marketing. When we use our smart devices and connect to internet, we have experienced may advertisement from various brands. With AI, the potential to evaluate a near-infinite number of datapoints effectively and efficiently, marketers are increasingly turning to machine learning to better know the impact that different touchpoints of individual shoppers and even entire audience segments have on the purchaser’s journey.

1) Forecasting Sales

AI marketing can be used to gather data on past sales. The system would research the data from meetings, emails, telephone calls and all the rest.  You will link the data to the results of both the current and future promotions sales planned.

AI may be of great help in optimizing marketing strategies for your brand, in addition to predicting sales. AI also does away with the chance of human error. AI is only allowed to produce a report using data.

2) Use artificial intelligence to revolutionize customer service

Another remarkable and still-growing advance in technology was in augmented reality (AR).  It approach incorporates digital knowledge with a real-time physical world. Recent developments in AR have opened the door in the field of digital marketing to fully new, personalized shopping experiences for customers.

 

If it helps shoppers to see furniture in their homes or to try on clothing in a “virtual dressing room,” AR is yet another way for brands to stand out from the competition.

 

As consumers make a purchase, abandon a cart, connect with the brand on social media and more, marketers may cause personalized emails via automation. Such tailored emails will reduce the cost of acquiring customers by 50%, increase sales by 15% and improve spending output by 30%.

3) Video marketing approach to improve engagement

Ninety-three per cent of advertisers landed a new client from the social media video. Firstly, understanding that a full-fledged production crew is a thing of the past is significant. Entering the video marketing space by 2020 can be as easy as producing quick, informal videos to highlight the goods of your company. Such videos can then be used on YouTube, Amazon, Twitter and on any other platforms on which you advertise or sell.

You wishing to take advantage of YouTube’s capabilities can do so by video display ads, video and discovery ads from YouTube TrueView, or Google Shopping Ads from TrueView. Each of these ad formats enable marketers to unobtrusively promote engaging, story-driven content to their consumers, cultivate brand awareness and create trust.  So for those social media or Amazon advertisers, both platforms have plenty of additional video exposure opportunities, whether it’s in-stream video advertisements on Facebook, or enhanced brand content videos on Amazon’s product information sites.

Take Home

With the proliferation of consumer data access, a deep insight into consumer behavior can be obtained. Continuous growth in the field of machine learning and deep learning, AI is capable of driving marketing and allowing on-scale personalized marketing, a fact.

Using AI, marketers are able to derive valuable insights and cutting edge strategy from data troves.

  • Prediction of sales and customer behaviour.
  • Deep understanding of customers with Sentiment Analysis.
  • Possibilities of upselling/cross-selling based on customer behaviour.
  • Deep Learning for recognizing patterns in images, text, voice, and other data to extract valuable information about customer interaction.
  • Enhancing the contribution of marketing to the overall business growth.
  • Improving customer experience through intuitive and sensitive communication chatbots.

 

Title ? Artificial Intelligence in digital marketing 2020

Meta description ? Artificial Intelligence has already been put into practice and marketing firms have embraced the ability to use it to develop internet marketing campaigns and provide valuable consumer insights for companies. Many companies are enjoying the positive impacts of AI in digital marketing in 2020

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