Author name: Margarita Servar

Margarita is a Content Manager and author at the Linked Helper blog, dedicated to providing practical and useful material. She conducts research and tests automation tools, drawing on practical experiences and interviews with LinkedIn marketing experts.

How to really use LinkedIn effectively for business: top guide for all occasions

According to the latest statistics from LinkedIn, its audience has increased to 808.4 million in 2022. This means that the social network becomes even more attractive for anyone who is looking for clients, job opportunities, brand influence, and talent recruitment. If you are a recruiter, marketer, or business owner, you can use data about top …

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How to really use LinkedIn effectively for business

How to make more connections on LinkedIn & manage them with one automated CRM

Just as with your contacts in business, all your connections in the social network are a tool for the success of your business and the reputation of your company. When promoting goods or services online, you need to know how to get connections in the LinkedIn community, and if their number is more than 500, …

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Best LinkedIn micro and macro corporate influencers: How to find them & examples

LinkedIn lists 11 million C-suite members and 180 million are senior-level influencers. This means that you can find top influential people in your niche to promote your brand – and increase the level of trust in your brand on the social network. You may also be a new LinkedIn user, but an offline expert in …

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LinkedIn data export tool to an Excel or CSV file

With the Linked Helper automatic extractor for LinkedIn, you can export a database of contacts as a CSV. The data, including people’s emails, addresses, work history, education, and messaging history on LinkedIn will be viewable in the file. This convenient toolkit for automating lead generation, maintaining a customer base, outreach, and other marketing activities can …

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LinkedIn data export tool to an Excel or CSV file Linked Helper tutorial

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