If many people in the foreign trade team work on LinkedIn, how to set up KPIs that discourage group posting?
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If many people in the foreign trade team work on LinkedIn, how to set up KPIs that discourage group posting?

Qixing Global analyzes the common reasons, troubleshooting sequence, implementation methods and core indicators of KPIs that discourage group posting when multiple people in the foreign trade team work on LinkedIn, and helps individual SOHOs, internal to external factories and foreign trade teams improve the customer accuracy and effective business opportunities proactively developed by LinkedIn.A common problem is that only assessing the number of invitations and messages will force sales to sacrifice accuracy and account security.

If many people in the foreign trade team work on LinkedIn, how to set up KPIs that discourage group posting?
If many people in the foreign trade team work on LinkedIn, how to set up KPIs that discourage group posting?

For personal SOHO, internal to external factories and mature foreign trade teams, the resource conditions for this problem are different, but the mistakes are usually the same: only assessing the number of invitations and messages will force sales to sacrifice accuracy and account security.So don’t copy your peers’ publishing frequency, audience, or budget just yet.

SOHO should focus its limited time on the most suitable customers and products; when transferring internally to external factories, first complete overseas trust information; and mature teams should unify their marketing and sales caliber.No matter which category, follow-up is not to repeatedly ask whether you are interested, but to continuously add information related to the customer's current tasks and transfer the conversation into a recordable, gradable, and collaborative sales process.Operational goals should all fall into effective dialogue, quotations and business opportunities, rather than stopping at busy data.

It can be advanced in three steps.The first step is to combine list matching, personalized contact, valid responses, complete qualifications, business opportunities and compliance indicators; the second step is to record the background, response, qualification fields, next step and date for each contact, and design different rhythms according to no response, light interest, clear needs and long-term cultivation.Complete the undertaking; the third step is to write down hypotheses for each adjustment, such as which types of customers are expected to increase and which indicators will improve.Changes without assumptions cannot form a team experience.

It is recommended to adopt "quantity + quality" for data review.Quantity includes secondary response rate, effective conversation rate, qualification completeness, meetings or information exchange, quotation rate, follow-up completion rate and opportunity cycle; quality verifies country, company, role, application, quantity and time.In particular, this question should be evaluated based on effective business opportunities per capita and negative feedback.Both sets of data must correspond to the same piece of content, ad, or source.

If there is still no improvement in a continuous observation cycle, you should return to customer positioning and value expression instead of continuing to increase volume.The value of following up on conversions is to get the right customers to confirm your suitability more quickly, rather than getting everyone mildly interested.

When this question is implemented, you can first use a small group of real target accounts to verify: combination list matching, personalized reach, effective replies, complete qualifications, business opportunities, and compliance indicators.After execution, don’t just judge based on your feelings, but evaluate based on the effective business opportunities and negative feedback per person; at the same time, save the customer identity, version, date and subsequent sales results to avoid mistaking accidental replies for replicable methods.

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