How to Maintain Repeated Clients

I will explain how you keep repeating customers. I will explain how to improve customer service and how to make them rebook. We also provide information on the top seven complaints from customers and how to avoid them. Finally, I will show you how to maintain a general customer. First we will show you how to improve customer service. Improving customer service is probably the easiest thing. Representing security is a very important key to implementation. First, I will make a safe environment.

Each user manages public and private keys on the client. The key is encrypted and stored only on the client, not on the server. The dust client creates and signs an Ethereum transaction using the encrypted private key and passes it to the Mercury Protocol server. The Mercury protocol server forwards it to the Ethereum node running on the AWS. The Dust server runs an hourly cron job, checks for expired users, and finds calls to cleanupFeaturedUser (address_userAddress) on the PremiumExposure contract, it checks locally managed functional user mappings. If the user actually expires, the user is deleted from the featuresUsers map and an ExposureEnded event occurs when the deletion is successful.

Please strongly consider using a hardware client to keep the private key. This prevents secret key data from reaching the system connected to the Internet. To balance security and convenience, we combine a hardware client and a desktop client connected to the Internet. The desktop client generates the transaction, the hardware client signs the transaction, and the desktop client transfers the transaction to the network. If the threat appears to be complicated, create a multi-sign wallet that requires two or more private and public key pairs to authorize the transaction. A desktop client can hold one key and a hardware client can hold another key. In other words, if the hardware key is stolen and the lock is released, the attacker can not approve the encryption currency transaction without the desktop client key. In addition, if malware infects the system hosting the desktop client, transactions can not be approved without multi-sign wallet.

The core problem is to maintain ultimate consistency. Each client immediately applies its edits locally before sending it to the server, and the server sends the edits to other connected clients. In other words, edits can be applied to each client in a different order. When designing algorithms, you need to ensure that the documents look exactly the same regardless of the application's order of editing. To solve this problem, we first considered using a technique called operation transformation, which is an old algorithm originally developed for text, promoted by an initial collaborative text editor like Google Wave it was done. I decided not to use OT, but this may be the most common way to solve such a problem, it is useful to compare OT with our approach. In OT, the resulting operation has the same effect as new operations are carefully converted to other concurrent operations.