Industrial intelligence in electronic marketing

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Industrial intelligence in electronic marketing and artificial intelligence in electronic commerce, industrial intelligence marketing, artificial intelligence in advertising and technical employment...

8.88% of electronic marketing and industrial intelligence in e-commerce, industrial intelligence and artificial intelligence in advertising, use of synthetic intelligence techniques in marketing, application of artificial intelligence in marketing and profit from artificial intelligence marketing, all of which will be discussed in the following lines.

) Industrial intelligence in electronic marketing

Synthetic intelligence has become one of the basic tools of digital market arsenals, where it has created a revolution in the electronic marketing industry, and its use is no longer limited to large companies, even used by small companies and enterprises. A study on industrial intelligence in electronic marketing showed that 55 per cent of companies use [hyperming] (https://trinavo.com/) or are considering using it as a result of digital marketing.

Ways of using industrial intelligence in electronic marketing

We will mention in the following lines ways of using industrial intelligence in electronic marketing:

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  • Computer programmes have been developed to interact with clients online, answer their questions and provide support and assist them in completing procurement.
  • Chatbots can also be merged into web sites and social media pages.
  • Workshop robots enhance interaction with brand and help improve customer experience through 24-hour support.
  • These robots can also deal with many agents at once.
  • Many companies are relying on chat robots to support their clients, given their low cost.
  • The beauty of this is that in many cases customers do not realize that they are talking to a computer program, which is the most prominent target [hypermnity] (https://ar.wikipedia.org/wiki/%D8%B0%D9%83%D8%A7%D8%A8%A7%D8%B5%D8%D9%86%D8%A7%D8%AD8%AD8%8B.D8B9%A.D9%.D9%D%D.D.D.D.D.D8A7%D%D%D8B.D8B9%9%D%D%D%D%D8A.D.D%D%D%D8A.D8B.D.D8B.D%.D.D.D.D%D%D%D8A.

Dynamic pricing

  1. Dynamic pricing (usually referred to as ad hoc pricing) is a pricing strategy, where the price is determined according to demand, product stock and customer definition file.
  2. Synthetic intelligence programmes can analyse your personal profile using links identification files, dates of visits, searches and other digital activities.
  3. Accordingly, product prices will be dynamic.
  4. One example of the use of dynamic pricing is hotel reservations, where prices are dropping and dynamically rising based on room occupancy rates, tourist season, previous reservations and customer records.

" Declarations to reach the target customers

  • Using the attachment definition files and pause record data, artificial intelligence can direct advertisements to customers based on criteria such as geographical area, age, sex and more.
  • You can note that very clearly in Google, you've noticed that if you look for something in Google.
  • After that, you go to YouTube, and the advertisements you see are often linked to the things you've been looking for on Google, or the subjects you've been reading. Google has been able to use artificial intelligence techniques in marketing by analysing network activity and research record to guide advertisements that are consistent with your needs and concerns.

Also read: [ what is social marketing social marketing] (https://trinavo.com/%d9%85%d8%a7-%d9%87%d9%88-%d8%8%d8%a%8%d8%b3%d9%88%d9%8%d9%d9%82-%d8%d8%8%d8%8%-d8%ad8%8%d8%d8%d%8%d8%d8%d8%ad%8%8%d8%d8%d%8%d8%8%d8%8%8%d8%d8%d8%d8%d8%d8%d%d%d%8%8%8%d8%d%8%8%d8%d8%d8%d8%d8%d8%8%d8%d%d%d8%d%d%d%8%d%8%8%8%d%d%8%d8%bd%d%d%d%8%8%8%d

Data analysis to reach marketing targets

  1. Data analysis is one of the most important applications of artificial intelligence in electronic marketing.
  2. There is no room for improvisation in today ' s world, all your marketing decisions must be made based on data.
  3. There is a wealth of client data that artificial intelligence programmes can analyse results and use them to formulate attractive and effective marketing messages.
  4. Synthetic intelligence techniques can be used to analyse data quickly and accurately beyond human capacity.
  5. Systems are in place to analyse market volatility, forecast public trends and analyse customer behaviour.
  6. As a marketer, you must maximize the use of this technology and use its superficial data analysis to understand your clients and build your marketing strategies and campaigns.

" Clients understand to deal with the market effectively

  • Synthetic intelligence can be used in electronic marketing, which helps marketers to know what consumers say about their brand in real time. There are social media monitoring tools that analyse what people in social networks say about your brand, which helps you benefit from artificial intelligence in digital marketing.
  • Synthetic intelligence programmes have the capacity to determine whether your brand is stated in praise, slander or neutral manner.
  • Based on this information, market owners can adjust and draft their marketing messages to maximize efficiency.

" Recommendation and content allocation

  1. Content regulation is one of the best examples of marketing artificial intelligence.
  2. Electronic commerce sites, blogs and numerous social networks use artificial intelligence to analyse the activities of their visitors on the Internet.
  3. Suggested proposals and recommendations for products and their appropriate content to increase conversion rates and spend more time on their location.
  4. Marketers continuously seek new ways of communicating with clients.
  5. They want clients to spend as much time as possible on their positions or applications.
  6. Here, artificial intelligence is useful, as it provides visitors and users with content, products and services suited to their interests and needs.
  7. This relies on user activities via the Internet, subjects searching for, locations visited and areas of interest.
  8. The best example is e-commerce sites, especially Amazon.
  9. Recommends and proposes products for visitors based on what they seek, or products they have previously purchased.
  10. According to McKenzie, 35 per cent of Amazon ' s income (e-commerce site) comes from its own engine of recommendations.
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Published on March 30, 2022

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