Use case: A voice assistant can simultaneously turn on the lights, adjust the thermostat, and start the coffee maker in the morning. Marketers can develop use cases that demonstrate how their products can be integrated into users’ daily lives.
Advanced personalization options
Voice assistants can collect and analyze data about user cell phone number list behavior and preferences to offer more personalized recommendations and services. This includes not only analyzing historical data, but also predicting future needs.
Use case: If a user frequently orders food via a voice assistant, the system can suggest new restaurants or special offers based on their tastes and previous orders. Marketers can use this data to target ad campaigns and offers.
Voice Commerce (V-Commerce)
Voice commerce is becoming increasingly popular. Users can order products and services using voice commands, making the shopping process easier and more convenient.
Use Case: A user can order groceries, event tickets, or book a table at a restaurant through a voice assistant. Marketers can integrate their shopping platforms with voice assistants to offer users an easy and convenient shopping experience.
Opportunities for Marketers
Marketers can develop specialized voice skills and apps for popular platforms like Alexa and Google Assistant. These apps can provide users with useful information, special offers, and even brand-related entertainment.
Use case: A beauty brand could create a voice assistant that provides skin care advice and recommends products based on the user's skin type and preferences.
Personalized voice campaigns
By leveraging user preference and behavior data, marketers have the ability to launch personalized voice advertising campaigns that appeal to the specific needs and interests of their audience.
Use case: A voice assistant can remind a user to restock frequently purchased items and offer a discount on their repeat order.
Virtual assistants for customer support
Brands can use voice assistants to automate customer support, providing users with quick and accurate answers to frequently asked questions and help with problem solving.
Example of use: A bank integrates a virtual assistant into the application, which will help users check their balance, transfer money or get information about the nearest ATMs.
