A multitude of AI technologies aimed at enhancing digital marketing has entered the market. Studies show that AI can automate repetitive tasks, improve quality of content, perform predictive analysis, provide seamless customer service and support, and more. It has become the secret engine driving tailored ads, optimizing customer experiences and predicting social media behaviour. In this article, we run through the different ways AI can be used to boost digital marketing strategies.
1)Generate Quality Content
Marketers can now utilize AI to curate quality content for their platforms. Before the introduction of tools like ChatGPT, content creators and writers had to spend days just to do research, design, writing, and editing, before they could finalize and publish quality content. Teams had to work at top speed, racing against competitors, and ensuring their content is up to date.
With machine learning and complex algorithms, AI can study an input by a user and process a desired outcome with it. Some functions that are possible with AI: content templates, simulated brand voice, memory functions. High-quality content skeletons can now be seamlessly generated from AI, reducing the lengthy processes previously required to create blog posts, social media posts, product descriptions and more.
2) Automate Rote Tasks
Digital marketers can now incorporate AI technology to help them automate repetitive tasks, that normally take lengthy periods to complete. Such tasks range from recording customer interactions, replying to comments, data entry and more.
Leveraging AI for your digital marketing team can improve accuracy and delivery time of mundane tasks, shifting your employee capabilities to more high-value, analytical work. Aside from boosting productivity, the use of AI can enhance employee satisfaction at the workplace.
3) Deliver Customer Service
AI chatbots have been available in the market for some time. In a study by Salesforce, it was found that 65% of customers expected a response immediately when they contact a company for help. (1) AI-powered customer service can deliver fast, efficient and personalized replies to customers, enabling organizations to streamline workflows, augment customer experiences, and support employee productivity.
When used correctly, AI-driven chatbots can deliver authentic human connections to customers. This adds to the warmth and familiarity customers are craving, and eventually builds customer loyalty over time. AI chatbots, designed for customer service, now have in-built options to personalize service to customers. It is typical for a chatbot to ask customers questions to determine the type of assistance they need. The information provided by the customers that range from name, age to product type can be swiftly sent to technicians, who can then find solutions for these customers.
With AI-driven customer service technology, companies can provide exceptional customer experiences, decrease costs, handle high volume of requests, personalize experiences and augment efficiency.
4) Target Specific Customer Groups
The wonder of digital marketing lies in its ability to distribute correct messaging to the correct customer; targeting the right customer segments can make your advertising spend go much further. However, manually identifying and isolating customer groups for targeting can be time-consuming and costly.
AI can employ algorithms to group customers into segments defined by interests, age, behaviours and other demographics. With this ready customer contacts, marketing messages can be customized and timely populated by AI software. Some features like recommendation systems and natural language processing can be added to discern customer feedback and provide more concise recommendations.
5) Data Analysis
AI has powerful capabilities to dissect large amounts of data and make deductions from them. The collection and organization of data, a tedious task, can be streamlined very effectively by AI. The careful data analysis that follows this can also require rounds of examination. AI can rapidly study the data, gauge general customer attitudes, and produce primary notes for a data analyst. The process of reviewing customer comments and engagements via social media, dubbed social listening, can be done wholly by AI technology. With this consolidated information, marketers can move quickly and adjust advertising according to customer preferences.
6) Predictive Analytics
The success of any digital marketing campaign hinges greatly on prevailing consumer trends and behaviours. With AI, future trends and behaviours can now be forecast with superb accuracy. Predictive analytics crunch large amounts of data, with the use of machine learning algorithms, to detect patterns. The valuable information, illuminated by AI, can predict which customers are likely to stay loyal, and which trends are likely to become popular. With such datasets, marketing campaigns can be executed with better success.
7) Performance Data
With the help of AI, the performance of your brand, products and services, and various marketing campaigns can now be merged into datasets, providing your marketing team with necessary feedback on their work. Improvements and adjustments to marketing strategies can take place after such data is studied.
After trying out these AI applications we outlined, let us know which one contributed the most to your digital marketing strategy. It is reported that more than 80% of marketers worldwide use AI in some form, in their online marketing strategies, and 88% of these marketers say that AI has helped customize customer journeys across different channels. It is very likely that AI is here to stay, and the odds are, the technologies will be implemented through human-AI partnerships.
(1) https://www.salesforce.com/ap/resources/research-reports/state-of-the-connected-customer/
