- The easiest way to get potential customers is to make contact and include a mailing list with as many LinkedIn users as possible. After a thorough analysis of the bounce rate received – sort out potential customers and get the opportunity to realize the purchase of a product or service through a quality mailing offer. This straightforward approach has many risks:
- negative feedback due to spam mailings can reduce the chances of getting contact with other users because of the way LinkedIn works;
- blocking a user and complaining about a spam mailing creates the risk of blocking or restricting mailings;
- irrelevant mailings will prove to be ineffective and in the long run, a waste of time and resources.
However, LinkedIn find by email can be done with completely different algorithms that will offer high efficiency and customer loyalty. There are two ways to do this information retrieval and sorting. Let’s consider both.
Manual address search and client sorting
Manual search is to go through each page and collate data, getting information from public sources. Not all users agree to put their coordinates on the home page. But even if they do, the amount of work is considerable. Not only do you need to match the real needs and capabilities of each client, but you also need to do a thorough sorting of the results you’ve already received.
The technical part of manual sorting includes at least two stages of sorting – primary and final. In practice, triple and even multiple manual sorting are used. The advantage of such work is the high percentage of accuracy in hitting the target audience: who else but the seller of services or goods understands the focus of their product. And who but him understands who can become his client and who will send the message to spam.
Professional search, sending of offer letters and contact with clients
Live contact with potential customers and users is the best option for development. But if there is an opportunity to start with an online message or suggestion, it is better to take advantage of it.
A professional and systematic search using online services, such as with Reply services, is the easiest way to get data. Once a list of preferences has been compiled, it won’t require multiple levels of sorting through potential customers.
Using LinkedIn data, the service does a thorough screening based on set criteria. After manually or automatically filtering potential message recipients, the service will send a message to all sorted contacts.
Such powerful automation will allow the service itself to perform a lot of technical actions. And the user-customer mailing list – to focus on creating a competent text for the letter of the proposal. As well as on the point management of mailing with selective verification of addresses for sending letters.
