Artificial intelligence in marketing is currently a hot topic, with many discussing its potential. It offers numerous opportunities for marketers and business owners, and interest in its applications continues to grow. Once viewed as a concept from science fiction or a distant future technology, AI is now actively employed to tackle real-world business challenges, becoming an indispensable tool in marketing.
One driving force behind this shift is the exponential growth of data, fueled by increased mobile device usage and the expansion of online commerce. AI proves invaluable in handling vast amounts of data efficiently. Additionally, advancements in technology are crucial; as data volumes swell, more sophisticated technological solutions are needed to process them. These developments have made real-time personalized marketing achievable.
Personalization is just one advantage of leveraging AI in marketing. It also enhances customer service and provides new avenues for optimizing business processes. AI techniques mitigate the risk of human error and boost operational efficiency, reducing reliance on manual labor.
Several popular applications of artificial intelligence in marketing merit consideration for business adoption, including content generation, chatbots and voice assistants, predictive analytics, and comprehensive data analysis.
Marketers are already acquainted with generative tools like ChatGPT and Midjourney, alongside ubiquitous chatbots and voice assistants found in various contexts, from banking support to government services. Let's delve deeper into the capabilities of predictive analytics and comprehensive data analysis.
Predictive analytics plays a vital role in identifying potential risks and opportunities, enabling businesses to solve challenges and use current trends swiftly. It not only minimizes uncertainties but also provides a competitive advantage in the modern business environment. Today, businesses have broad access to various digital solutions, with the SaaS market offering platforms and applications catering to different sizes and industries. Typically, these solutions offer data handling and analytics capabilities, collecting and analyzing data to provide valuable insights. However, certain technologies delve deeper, offering both quantitative and qualitative insights based on the data gathered.
Among the array of AI-driven solutions available for predictive analytics in the market, the Reputation House App stands out as particularly suitable for mid-sized businesses. Let's explore its functionalities further. Reputation House App delves deep into the sentiment of mentions, providing users with invaluable insights into how their goods, services, brands, or events are perceived by the public. This AI-driven system meticulously analyzes tones, effortlessly deciphering the sentiment behind comments or brand mentions. While it may seem straightforward initially, consider its ability to discern the SENTIMENTS of real humans across various languages, tones of voice, irony, humor, dialects, and slang.
In a conversation with Dmitrii Khasanov, one of the developers of the Reputation House App, founder of Melandia Agency, and a digital marketing expert, we gained further insight into the platform's innovations. Dmitrii says, "Reputation House App primarily focuses on statistical predictive analysis and reducing operational time. For example, while it might take an individual 4–5 days to analyze 10,000 comments, the app can accomplish this task in just 3 hours. This rapid analysis empowers managers to swiftly discern relevance, contribution to trends, and the factors shaping those trends. Moreover, in the future, the app will categorize comments/mentions into predefined keyword groups to efficiently generate mention topics."
As Dmitrii Khasanov highlights, the application employs unique technology never seen in the market before to discern the sentiments expressed in mentions and comments left by clients. Presently, there is no other system capable of accurately detecting the tone of reviews and online mentions. While existing market monitoring systems offer basic analytical data such as demographics, they lack tone analysis capabilities. The Reputation House App bridges this gap by swiftly analyzing the tone of each review, reducing manual effort tenfold.
Talking about the determination accuracy, Dmitrii states that data undergoes a double check by the management team for sampling verification. Upon launch, the Reputation House App was correct in 45% of cases when analyzing data. It increased to 61% after six months after launch and to 69% after nine. Now, the app correctly determines 92% of analyzed mentions. However, users' lack of understanding remains an obstacle. The system continuously learns from user-provided information.
Currently, the Reputation House App exclusively handles text reviews. However, the team is actively working on developing the capability to recognize and analyze graphic and video reviews. In the near future, the system will extend its analysis to social media posts and video content, including reviews, testimonials, and feedback. Evaluating the tone of these reviews will furnish brands with comprehensive insights into how customers perceive them.
The adoption of AI technology in modern business practices is not a novel concept. Companies aiming for strategic goals, growth, and development amid heightened competition must acknowledge that new technologies necessitate changes in business processes. One such change involves implementing processes geared towards better understanding the target audience and their needs. When considering third-party software implementation, the Reputation House App warrants serious consideration.
