Companies are not only competing against one another to be the best at what they do anymore, but also for survival because of this cut-throat competitive environment where tastes are constantly changing. However, in order for businesses to run effectively, they must do exactly that. Predict. They have to be ready for change and become trendsetters in order to establish themselves in the market. It has become much easier and predictable because of the use of AI for predicting trends.
What is Predictive Marketing?
Predictive analytics in simple terms is an approach of using data analysis techniques to predict future events or results. Predictive analytics uses AI algorithms to conduct an analysis of the past and present data to determine patterns and probabilities. In today’s time, AI consumer insight tools are being used to find answers to questions like “What will customers need next?”, “What trend is going to be on the rise?” and “What products can increase their sales?”
How AI Predicts Consumer Trends
Purchase history and browsing behavior: What are consumers purchasing and when are they purchasing them? What items are consumers purchasing at once? What are they looking at but not purchasing? These are some of the things that AI technology can answer through purchase history and browsing behavior.
Social media trends: There is an overwhelming amount of data generated each day on social media sites through the creation of new content and interactions with that content. It answers questions related to trending topics and identifies individuals who may turn out to be the future influencers in a field before they become so.
Economic indicators & news: Market changes, news events, and even weather affect consumer sentiments and behavior. AI analyzes these events and tries possible outcomes in case of a combination of these events and gives business organizations the whole picture of the scenario.
AI Tools for Trend Forecasting
Google Trends + AI Overlays: Google Trends is an option that is often used to identify a baseline for search popularity. AI Overlays may help to make conclusions even more profound, demonstrating not only the existing trends but also predicting future market trends.
Specialised Predictive Platforms: Services such as Crayon or some customised ML algorithms from specialised agencies can be more insightful, providing niche and industry-specific information.
CRM/CDP: CRM and CDP platforms are now able to predict the value of their clients and product interests and disruptions in patterns.
Real-Life Examples of AI Trend Prediction
Recommendations by Netflix: The recommendations depend on your personal preferences, the movies and TV shows that you watched till the end, and even on repeat watching, the searches you made, the items you didn’t complete, and creating the perfect watch to keep you interested on the platform.
Predictive Products by Amazon: Do you notice that Amazon always recommends products that you should buy along with your purchase on the product pages? This means that the content is generated from the datasets of different customers’ activities and yours too.
Personalization in Spotify: Your Discover Weekly, Daily mixes, and other suggested artist playlists that you can listen to next time, everything is personalized by Spotify’s AI according to your music tastes and expanding your horizon of artists and genres.
Why Predictive Insights Matter for Marketers
AI has turned out to be extremely beneficial for marketers across the globe in gaining marketing insights. The decisions of marketers become effective due to which they become successful in all areas ranging from campaigns, managing inventories, scheduling content to creating and dropping products. This has ensured high returns on investment, maximising profits to a great extent.
