Artificial intelligence marketing (AI Marketing) importance, features & Chatbots
Artificial intelligence & machine learning are an increasingly integral part of many industries, including marketing, AI Marketing offers a high evolution of big data and advanced analytic solutions, so, marketers can build a clearer picture of their target audiences than ever before, and in this hotbed of advancement lies artificial intelligence (AI) marketing.
Artificial intelligence marketing (AI Marketing)
It is a method of leveraging customer data and AI concepts such as machine learning to anticipate your customer’s next move and improve the customer journey, There are elements that make AI marketing powerful such as big data, machine learning & the right solutions, machine learning is one of the techniques that can be employed to enable more effective behavioral targeting.
Machine learning platforms come in handy when marketers try to make sense of this huge data repository, They can help identify trends or common occurrences and predict common insights, responses, and reactions so marketers can understand the root cause and likelihood of certain actions repeating.
Marketing teams can use big data to ensure the right message is being delivered to the right person at the right time, Artificial intelligence marketing solutions present ways to bridge the gap between data science & execution, The process of sifting through and analyzing huge dumps of data was once an insurmountable process and is now not only feasible, but it’s actually easy.
Artificial intelligence marketing solutions understand the world in the same way a human would, so, the platforms can identify insightful concepts and themes across huge data sets, incredibly fast, AI solutions interpret emotion and communication like a human, which makes these platforms able to understand open form content like social media, natural language, and email responses.
AI Marketing advantages
Digital marketers can greatly boost their campaigns’ performance and ROI, all of which can be achieved with no extra effort on the marketer’s part, While this definition offers an overview of artificial intelligence marketing at the most basic level, Over time, AI solutions will become more intelligent, effectively eliminating waste, greatly increasing conversions, and promoting real-time decision-making.
Artificial intelligence allows marketers to take data & target to a whole new level, Audience analytics can go past the typical demographics level, to understand people on an individual basis, marketers can use Artificial intelligence to identify potential clients or buyers, and deliver the ideal content that’s most relevant to them.
Customer service & retention use AI, chat functions & other direct-to-consumer engagement avenues will be run by AI bots, Many companies can save employee time & expenditures with these tactics, AI bots have access to an entire internet’s worth of data, information, and search histories, making them much more efficient than their human counterparts.
Artificial intelligence can analyze large blocks of open content & identify trends, This allows brands to interact directly with consumers in real-time through online conversations or events, Communicating with consumers at the precise ‘decision-making moment’ can help directly influence buying decisions, Artificial intelligence helps marketers monitor these social conversations & other open forums to identify any relevant conversations.
with artificial intelligence, prices can be determined and optimized with a whole new level of precision, taking a wide variety of data into account, Machine learning can be used for dynamic pricing, that analyses the customer’s data patterns and predicts what they are likely to be willing to pay, and their receptiveness to special offers.
Dynamic pricing can be used to compare businesses’ product pricing with that of their competitors, to determine if their pricing is too high, about the same, or too low, Some online retailers & aggregators have discovered the extent to that machine learning can make the process of tagging and categorizing products more efficient, One retailer might give us amazing data, and another could give us the same set of products but with awful data.
The Chatbot is an AI-fuelled software that can interact with humans through a live chat interface, Although at a nascent stage of adoption, the rapid rise of conversational marketing means that over 80% of brands are looking to use Chatbots by 2020, Machine Learning & Natural Language Processing (NLP) algorithms lend a human touch to the conversations, creating a seamless customer experience while driving down manpower costs significantly.
When programmed to handle standardized queries, these virtual agents extend a high degree of personalization across the web or mobile platforms, The added element of AI enables marketers to customize bucketed responses based on historical interactions with customers, accurately responding to queries, providing suggestions, and redirecting customers through relevant deep links.
The Chatbot integrated on a food delivery provider’s platform can be used to render 24-hour live chat customer support based on FAQs pertaining to delivery tracking, order cancellation, refund process, etc, Over a period of time, the Chatbots responses will become more intuitive, refined, and focused, feeding off multiple interactions mapped to individual customers.