Long-Term LinkedIn Lead Generation Project -- 3

Dear network, The goal of the project is to extract 800 contacts from certain companies weekly for the next 48 weeks (11 months, with the option to extension on one more year). You will be given the companies on the Monday of every week and expected to fill in the first sheet in the Excel file in the attachment in the following manner until the end of Wednesday of the current week. We want to ensure that the leads are fresh. The deadline for the first 800 is 10.01.2022 Please look at the first sheet in the attachment. You will be provided the full company name, the FTE range and the industry of the company. The full company name will be enough to complete the task. In the second sheet, you find different employee positions divided in the 4 tiers. If there is an employee from a certain company on LinkedIn, whose current positions´ name contains one of the tier 1 descriptions, please put "1" in the column N in the first sheet respectively. If there are two employees from a company from the first tier, choose one randomly. Only one contact per company should be extracted. If there are no employees from a certain company containing a tier 1 description in the position name, switch to tier 2, if there are no in tier 2, switch to tier 3, if there are no in tier 3 than choose a random employee of the company that has LinkedIn a profile. Please provide the LinkedIn URL of the company in column F .After selecting the employee, extract its gender in the column G. First name should be in the column H, and the last name in the column I. If the person is a Dr., Dr. should be before the last name. If the city where the employee resides is available on its LinkedIn profile, please extract it in column J. If it is not available please write down the headquarters of the company provided in the companies URL in the column J. The position of the person should stay in column K. Please extract the position that is part of the tier and not the whole position. E-Mail Adress of the employee should be in the column L and the phone number in the column M. Weekly Standards: 1. Contacts extracted: minimum 95% or 760 out of 800 -thereof Tier1: 25% or 190 out of 760 -thereof Tier1 or 2: 80% or 608 out of 760 -thereof Tier1 or Tier 2 or Tier3: 95% or 722 of 760 2. E-Mails found: 90% or 720 -maximum bounce rate: 3% or 22 e-mails 3. Phone Numbers found: 35% or 266 -maximum wrong numbers: 30% or 80 I am looking forward to our long-term cooperation. Best Mihailo