You need a strategic customer journey if you want to keep your customers. After all, an organization can boost revenue by 10-15% by improving customer experience.
An effective customer journey results in better customer retention, satisfaction, and experience. In fact, businesses focused on customer satisfaction have 1.5X higher employee satisfaction, 1.6X higher brand awareness, and 1.9X higher order value. Also, 73% of consumers make purchase decisions based on brand experience.
Nevertheless, consumer expectations skyrocket in tandem with digital disruption. Therefore, organizations are constantly under pressure to deliver the right customer experience.
That is where chatbots come in.
Chatbots help companies by:
- Reducing customer waiting time by answering common customer questions like store hours, order and delivery status, locations, product details, etc.
- Quickly resolved customer support cases by answering straightforward questions repeatedly. In some cases, they can route issues to support agents.
- Redirecting customers to needed resources.
- Handling initial interactions and helping human agents follow up on the chat history.
- Gathering leads by asking questions and providing this information to the sales rep to offer personalized services.
- Reducing costs.
- Create chatbots without coding.
- Enabling self-service in non-complex environments.
- Delivering relevant information rapidly.
- Improving the customer experience.
- Improved agent productivity.
- Personalized and natural conversations.
- Microsoft Power Platform and Teams integration.
- Reduce helpdesk load.
- 15+ languages with localized UX experience to enable bot builders to build Power Virtual agents in their local language.
- Empowering teams to collaborate and co-author chatbots.
- Easy chatbot lifecycle management to address change control, governance, data residency, and latency requirements.
- Seamless bots import and export management across solutions and environments, as well as their release stage.
- Crafting tailored conversations with passing context from the hosting website. For example, the bot can be fed information about the page the user visited before initiating the conversation. This will help craft a more personalized interaction with the user.
- The information collected during a conversation can flow to future interactions using global variables. For example, if a user provides an account number for checking the account balance, the chatbot doesn't require asking for an account number again to calculate credit risk or fulfill a request regarding withdrawal or loan eligibility.