# Introduction

Artificial intelligence (AI) is revolutionizing industries such as real estate agencies, online education platforms, and healthcare. By automating routine tasks and conserving budgets, AI can perform functions typically handled by multiple employees across different departments.

In this article, we explore the various applications of AI in marketing and user support departments. We also discuss the results companies can expect from implementing AI solutions.

# How Artificial Intelligence is Changing Marketing and Support

AI-powered tools excel in storing and processing large volumes of data. This capability accelerates tasks for marketers and support managers, enabling more informed decision-making. According to a survey of over 300 companies:

• 32% plan to implement AI solutions in their marketing and support processes in the near future.
• 35% do not intend to adopt AI technologies.
• 20% are just beginning to identify areas where AI can be applied within their business.

## Process Automation

Only 6% of companies believe that adopting AI technologies does not impact their production and sales speed. The remaining 94% are confident that AI tools help increase conversions and revenue.

AI algorithms in marketing and support are used to:

• Conduct Initial Scoring: Companies are actively testing AI tools to evaluate marketing leads. Instead of manually reviewing applications post-webinar, marketers use AI algorithms for preliminary assessments. This sorts applications based on necessary criteria, turning hundreds of initial applications into a list of the most targeted or “hot” leads. For support departments, scoring helps determine customer satisfaction levels and prioritize inquiries.

  AI tools assist in creating such algorithms: simply create a prompt for the tool to compare applications against a set of criteria, minimizing errors.

• Transcribe Interviews and Recordings: Hour-long recordings of customer development interviews or service demonstrations are converted into text within minutes. Additional questions posed to AI help avoid spending time searching for key insights.

• Predict Demand: AI tools and machine learning algorithms analyze user group behaviors to predict their actions, thereby forecasting conversions and revenue. For marketing, this provides data sources for fine-tuning campaigns, while support teams use it as a tool to manage user churn effectively.

## Segmentation and Personalization

AI handles user segmentation efficiently, quickly identifying clients based on key parameters and creating new segments. Companies experiment with different approaches to divide their databases into groups, such as:

• Frequency of Purchases (RFM Analysis)
• Product Categories
• Responses to Marketing Campaigns
• Low Activity in User Accounts

AI can extract this data from customer databases and suggest new segments for hypothesis testing and conversion growth.

A key trend in marketing and support over the past few years is precision personalization. Users expect individualized approaches from brands and tend to ignore generic advertising messages. However, personalized content delivered at the right time and through the appropriate channels can stimulate purchases and reduce churn.

Machine learning algorithms analyze customer data to offer suitable products at convenient times, enabling personalization at the individual customer level rather than just segmentation. Personalizations can be applied to email campaigns, advertising, and website content. For example, algorithms track user actions on a website to predict the likelihood of a purchase during a session or their return time. Users similar to those who haven’t made purchases are shown limited-time discount offers, while those predicted to purchase do not receive such offers.

A/B testing shows that automated recommendations in email campaigns outperform manually curated ones.

Achieving the desired level of personalization is easier with a large customer database, supported by user data collection systems. Machine learning and AI algorithms facilitate personalized marketing by creating unique communication scenarios for each buyer, selecting products and services based on browsing and purchase histories, as well as data from users with similar interests.

To achieve results from personalization, it’s crucial to focus on individual customer needs. Understanding how to make a client’s life better and more convenient can be guided by the Customer Journey Map (CJM). If personalizing interactions for narrow groups and individual users is challenging, divide customers into segments based on interests and needs. This approach simplifies creating targeted offers.

## Implementing Chatbots

79% of companies report that chatbots positively impact sales. Bots address numerous business tasks, automate processes, relieve teams, offer product advice, and assist users during the initial stages of interaction.

AI has also enhanced user support functionality. Modern neural networks learn quickly and handle basic customer support effectively. AI support agents gather customer data, record user inquiries, and provide responses, allowing budget savings on support teams.

## Data Analysis

AI tools enable the analysis of user actions before they occur, assisting marketers in analyzing customer data to forecast market trends and buyer behaviors, and support teams in better understanding users. Predictive analytics is not new, but it has become more sophisticated thanks to AI. For instance, companies use data on target customers to create profiles of potential clients and set up the most conversion-effective scenarios for them.

Artificial intelligence will continue to expand predictive capabilities, allowing for more accurate churn rate estimates, better product recommendations, and much more. Advanced predictive analytics will enable forecasting sales, predicting campaign effectiveness, and determining which products will be more in demand among users.

## Audience Research

For small companies, conducting research is a complex and time-consuming task, putting them at a disadvantage compared to larger organizations that can allocate entire teams for this purpose. AI can assist with this challenge today.

AI aids in marketing research by answering content-related questions, describing various tools, and responding to potential customer inquiries. This allows small teams to expedite research, make more informed decisions, and quickly adopt new tools.

## What Else Will Appear in AI

A current trend in AI development is creating personalized AI tools tailored for each company. Large companies are already testing proprietary AI models for internal tasks such as recruiting, writing emails, and training sales personnel. 67% of respondents believe that by 2050, AI will enable complete automation of recruitment.

Another trend highlighted by experts is the emergence of unified models capable of performing various tasks. This assistant will be able to book flights, create websites, write text, and generate visuals.

# In a Nutshell

The trends outlined above are already in action and will continue to evolve. Many companies have yet to find applications for AI within their processes. However, AI-powered services are no longer just a trend—they are a fully functional tool for profit growth. Companies increasingly seek employees skilled in implementing AI into their workflows and have already utilized it.

Consider the tasks listed above if your marketing or support team has demands for speeding up processes and increasing leads.

Remember that no trend will work if it doesn’t provide value to the customer or align with your plans. Additionally, what works well for one company may not suit another. Sometimes, it’s more beneficial to focus efforts on methods that are proven to work for you.

# Conclusion

AI is transforming the landscape of marketing and user support by automating processes, enhancing segmentation and personalization, implementing chatbots, analyzing data, conducting audience research, and paving the way for more sophisticated AI applications. Companies leveraging these AI trends can expect increased efficiency, higher conversion rates, and better customer satisfaction, ultimately driving growth and profitability.

To stay ahead in the competitive landscape, integrating AI tools like Co-Founder Ai can provide the necessary edge in optimizing marketing strategies and enhancing user support systems.

Published by Co-Founder Ai – Your Partner in Leveraging Artificial Intelligence for Business Growth.