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Are LinkedIn Hashtags Still Useful, and How Should You Use Them?

LE MAO Consulting AnalysisLinkedIn labelHashtag is still unnecessary, how to use common causes, review order, implementation methods and core indicators to help individuals independent foreign trade operators, factory transition from the domestic market to the export market and foreign trade team improve the accuracy and effective business opportunities of LinkedIn’s free natural flow customers. The common problem is that a large scale of widespread popular labels cannot replace clear topics, and may also lead to irrelevant exposure.

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Illustration: Are LinkedIn Hashtags Still Useful, and How Should You Use Them?
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Key Takeaway

To solve this problem, you can use the four-step method of "cause - action - indicator - decision". The current reason is that a large scale of widespread popular labels cannot replace clear topics, or may bring unrelated exposure, which will allow at least one decrease in customer relevance, trust or subsequent conversion.

Context & Preparation

In action, first select a small number of industries, applications and customer tasks related words, and put core keywords naturally in the original text and information. At the same time, follow a target role before publishing, respond to high-quality comments in time after publishing, participate in customer topics, record data access and dialogue, and make cycles review and evaluation according to themes and crowds, ensuring that customers use consistent positioning, parameters, cooperation conditions and action guidelines from seeing information to entering the sales process.

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Action Steps

In terms of indicators, don't look only on a single cost or interactive amount. Operating end needs to observe target customer interaction proportions, repeated interactants, data access, search exposure, focus conversion, effective dialogue and content support business opportunities; The sales end needs to verify the company, roles, applications, specifications number, time and subsequent stages. This topic is specifically to compare the target of non-interesters Contact customers rather than the number of labels.

What to Measure

In terms of decision-making, a sample, observation cycle and quality bottom line are set in advance for each test. Do not rush to make a conclusion when the basic data is not reached; Clearly attracting the wrong crowd does not require long-term consumption to “continue learning”. Organic results depend not only on posting, but also on relationship relevance, comment quality, continued conversations and the follow-up after content is viewed. The number of interactions must be judged along with the target customer identity.

Review & Improve

Finally, incorporate the findings into your operating procedures: when to retain an approach, when to change it and which signals justify scaling. Interaction Review and Evaluation is not a setup, but a process of continuous synergies between markets, content, data and sales. A program that can improve effective dialogue and offer opportunities is a truly replicable program.

Practical Exercise

When practicing, you can first verify with a small set of real target accounts: select a small number of industries, applications and customer tasks related words, and naturally write the core keywords into the original text and data. After performing not only by feeling judgment, but to compare the non-observation goals of contact customers rather than the number of labels; Also record the customer’s identity, the version used, the date and subsequent sales outcomes, so that an occasional reply is not mistaken for a repeatable method.

Further Reference: Official LinkedIn Product Information. This article offers practical business guidance. Product access, limits and interfaces are subject to current official information.

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LE MAO Consulting, a LinkedIn authorized partner: complimentary 7-day guided program, 40+ recorded lessons, occasional online salons and WeChat group Q&A.

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