Data is the foundation for decision making and business planning in B2B. Integration with analytical systems .
A chatbot connected to analytics platforms can not only communicate with a client, but also collect and analyze data to predict consumer behavior.
This allows businesses to improve sales and marketing strategies.
For example, using predictive analytics , a bot can analyze a customer’s behavior, previous queries and purchases, and suggest products that are more likely to interest them.
In addition, bots can be used to collect feedback : after communicating with a bot, users can leave feedback, then this data is automatically night clubs and bars email list transferred to the analytical system, where it is studied, and then decisions are made on improving the service based on it.
Example: How a Manufacturing Company Can Use a Chatbot to Improve Customer Experience
Given : a company engaged in the production and sale of complex industrial equipment.
The task : to improve the external and internal user experience through up-to-date automation tools.
Solution : a chatbot built into the communication system, integrated with the services used (CRM and ERP systems) and
- providing personalized service : the bot sees that the customer has previously been interested in a certain type of equipment and you create a direct one-to-one requested technical support. The next time it contacts, it offers instructions on how to use it or notifies about new models that match the customer’s interests;
- checking the availability of goods and reserving them . If the buyer asks about the availability of the product, the bot contacts the ERP and gives an accurate answer. Moreover, it can offer the client to reserve the product or place a pre-order;
- offering delivery options . The bot checks the data in the logistics management system and immediately reports which delivery options are available based on the customer’s location and preferences.
An example of a scenario for such a bot:
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Thanks to such integration, interaction with the spam data client becomes not only more convenient for both parties, but also strategically thought out: the chatbot turns from a simple tool for processing incoming requests into a link that allows you to optimize processes, increase the level of customer satisfaction, increase their loyalty and LTV.
What mechanics to use to sell a complex product
As a rule, selling complex and expensive B2B products requires an individual approach to the buyer.
In the current reality, chatbots can offer businesses unique mechanics for interacting with users, including:
- gamification of customer warm-up . Its essence is that information about products is presented in a game form. For example, a small quiz will allow you to learn more about the functionality of the equipment, and a quest will reveal the advantages of the product step by step;
- creating individual offers based on the implementation of personalized scenarios. For example, if a client works in a certain industry, the bot will be able to focus on those characteristics that are most important for this area. And this client;
- checking statuses and data . For large clients, it is important not only to receive information, but also to pass certain checks, that is, to be verified. To do this, the chatbot can request data from the company’s servers and check whether a specific user has access to specialized materials. This reduces the workload on managers and makes the process of providing information more transparent.