Webforms have been around for a long time, and they are crucial to acquire data that is essential to businesses and their success. It is the interpretation of such data that helps businesses understand their target consumers in order to implement best business practices. However, webforms have broadly become a redundant technology with the advent of tools such as a conversational AI assistant that can facilitate and expedite the process of gathering data in a much more user-friendly manner.
A conversation web form as against a traditional form, is a superior technology that leverages machine learning to integrate natural language understanding algorithms into a program enabling businesses to engage in interactive sessions with customers and obtain user data through tools capable of participating in captivating human-like conversations.
This blog talks about the differences between traditional and conversational forms and how the future of data accumulation is affected by them.
Traditional Forms vs. Conventional Forms for Data Accumulation
Traditional forms are web forms that receive information from consumers that feed information into pre-defined sections on a webpage for procuring a product, service, or support. These forms have been used for a long time and have proved to be extremely useful in receiving the requirements of consumers in an orderly fashion. Traditional forms are static and are able to provide rudimentary responses, such as confirmations and greetings, to consumers when the forms are submitted.
A conversational form is an interactive virtual agent that is developed to mimic human-like conversations through chat windows to receive and record information from consumers. This information is then interpreting using AI and ML algorithms and NLU capabilities to serve the needs of the client in real-time. A conversational form allows businesses to improve contact with the consumer by providing a familiar and effortless user experience.
Both traditional and conversational forms are capable of recording information received from customers. However, a traditional form is not equipped to decipher information on its own. While a conversational form can understand and react to the information received without human intervention, traditional forms merely record the particulars to be furnished in front of an employee to make sense of.
Which one should you opt for?
While traditional forms have a larger reach due to market domination for years, AI-enabled forms are catching up fast. Businesses can now rely on the system that records information to also implement solutions on its own, delivering results in record time and eliminating delays in consumer ticket resolutions.
Before implementing either traditional or conversational forms, you need the consider the relevance of both technologies in an enterprise.
Traditional forms are a domain that enjoys years of experience in contrast to the relative infancy of conversational forms. However, the technology that drives traditional forms has largely been stagnant and without any major development over the past several years, leading web forms to be seen as an outdated solution, while conversational forms are a future-ready technology witnessing improvements and upgrades much more frequently.
Traditional forms were built to facilitate the classification, grading, ranking, and organization of consumer data to assist humans in scanning through massive information packets. Conversational forms, on the other hand, are developed to collect and interpret data, only to further go on and perform functions to help resolve queries.
For instance, conversational forms have proved to be an indispensable asset in the form of customer support tools that enable businesses to receive basic support requests on their systems and be resolved immediately without the need to engage with employees. Along with customer support, businesses can deploy these tools as a conversation application form to help visitors on a webpage navigate through the process of filling applications seamlessly with a co-browsing assistant.
When it comes to customer retention, conversational AI is again an ideal candidate for engaging with consumers. Customer abandonment can be reduced with the use of an interactive chatbot that can react to the needs of a customer instantly. Data stored in the system is continuously accessed by AI, further helping with abandonment recovery and continuance.
Furthermore, a conversational contact form is capable of escalating and prioritizing customer complaints without wasting precious time waiting for an employee to review the vast amount of information.
Finally, as traditional forms are subject to high abandonment rates no information can be received by the company making it difficult to understand the cause for abandonment. Conversational forms, however, receive information through interactive sessions, where parts of user information are simultaneously recorded, and in instances of abandonment, such information can be utilized to understand the reason for drop-offs.
Traditional forms have shaped much of the internet as we know it today, allowing seamless recording of data to be used to understand consumers in the global market. However, the decades-old technology has been outdone through the introduction of AI-enabled conversational forms that are capable of performing all the functions of a traditional form and more, but without the limitations of the same. High-functioning algorithms have helped create tools that are capable of executing maneuvers that can imitate human actions, making them the ultimate tool for increasing business efficiencies and data interpretation.
To know more about the transformation that AI can bring, visit interface.ai and explore our host of solutions.
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