This question cannot be answered with a one-size-fits-all setting.The decision-making cycle of foreign trade B2B is long. First of all, we must determine whether the data is poor because no one has looked at it, because they are not interested, or because they are interested but have not entered the sales process.The most questionable thing at the moment is that emoticons, polite rejections and automatic replies are all counted as replies, covering up problems with lists and speaking skills.
It is recommended to conduct a reverse check first: work backwards from the final quotation opportunity you want to obtain, and determine what content the customer needs to see, what evidence to obtain, where to click, and what information to submit.Follow-up is not about repeatedly asking if you are interested, but about continuously adding information relevant to the customer's current tasks and moving the conversation into a recordable, gradable, and collaborative sales process.If these steps are not connected, optimizing for reach, clicks, or fans alone will be difficult to produce stable results.
The first step in this question is to divide the responses into five categories: valid needs, relevant communication, inappropriate timing, clear rejection, and invalid.Then check it one by one according to "record the background, response, qualification field, next step and date for each contact, and design different rhythms according to no response, light interest, clear needs and long-term cultivation."Don’t change positioning, materials, audiences, and hosting pages on the same day; if you change too many variables at once, you won’t be able to replicate the results even if they get better.
Two sets of data are used when measuring: the platform side looks at the secondary response rate, effective dialogue rate, qualification completeness, meeting or information exchange, quotation rate, follow-up completion rate and business opportunity cycle; the sales side looks at company matching, demand authenticity, quotation possibility and follow-up results.In particular, valid replies entering demand confirmation should be divided by successful delivery touches to prevent the operations team from only reporting good-looking superficial data.
A practical judgment is: if the data is small but the customers are accurate, it can continue to be accumulated; if there is a lot of data but the customers are wrong, the screening and expression should be corrected immediately.It takes a week to observe implementation issues, a month to judge trends, and then use the complete procurement cycle to test whether follow-up conversions truly create business opportunities.
When this question is implemented, you can first use a small group of real target accounts to verify: the responses are divided into five categories: valid requirements, relevant exchanges, inappropriate timing, clear rejection, and invalid.After execution, don’t just judge based on your feelings, but divide the valid replies into demand confirmation by the successful delivery contact; at the same time, save the customer identity, version, date and subsequent sales results to avoid mistaking accidental replies for replicable methods.
