How Technology Helps Predict Consumer Search Behavior – Guide
Social listening has been very helpful in contextualizing marketing beyond sales data. Now, we are starting to see patterns that can help us predict consumer behavior 6 to 12 months in advance. This feature can be useful for product innovators who want to know what consumers will be “concerned, thinking and excited about” in the future. With advances in AI, machine learning and analytics, companies are making better predictions with greater accuracy, delivering greater value to advertisers and marketers.
Deloitte’s Blab tool, for example, uses 50,000 sources to predict topics and topics that will shape consumer conversations. It can predict what topics will be talked about 72 hours in advance with 70% accuracy. This information can be used by CMOs to buy programmatic media before identifying trends and developing agile creatives that are immediately relevant to consumers.
The benefits of predictive search
Customer loyalty
Predictive research is a way to improve customer retention by understanding what customers want and need. By using predictive research tools, you can find the best games and coffee makers for your needs quickly and easily.
promotion and sales
If sales of a newly released VR set on your online store are lower than expected, you can make that specific VR set the first suggestion that appears when a customer types “VR set” in the search bar. Of course, this requires serious investment and great work on the part of the tech team, but it is worth it. ..
Greater customer satisfaction due to customization
Customers love feeling seen and taken care of. This was one of the reasons why Netflix gained unprecedented popularity at the time. Using custom suggestions can (and still is) keep subscriber watch time high. Plus, relevant recommendations tailored to their unique tastes make viewers feel valued. Every online retailer can and should pursue the same thing. ..
Search engines versus websites
Google’s autocomplete feature is said to offer “predictions” rather than “suggestions.” This is only partially true, as online retailers can also use autocomplete to increase convenience, satisfaction, and customer retention. ..
Final note
Technology has helped predict consumer search behavior in a big way. By understanding what people are looking for, businesses can create more effective marketing campaigns and products. ..
