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Working at DataBees

Zippia score 3.9

Overview

Revenue

Reviews

CEO & Executives

DataBees overview

Industry
Internet Software & Services
Revenue
$2.9M
Headquarters
Employees
127
Founded in
Website
Organization type
Private
Social media
DataBees is a startup based in San Francisco with a distributed team across the US and Europe and offices in India and the Philippines. We're calling BS on databases and AI/”machine learning” lead generation software. The information is expensive and out-of-date. Usually, sales reps still have to clean up that data and then go prospect deeper because in today's world buyers live online. Having their name, company, email and title doesn't cut it anymore to get attention or replies. What does work are real plays from a playbook, like using a high/low strategy or getting creative with highly personalized emails or video, maybe combined with some direct mail. However, reps are still stuck cleaning up data and doing manual tasks, wasting 15-17 hours/week, while the company is losing $30/rep/hour. Super inefficient. We know that humans are the best way to prospect. We help outsource prospecting and other back office support to our worldwide team of over 150 lead researchers, 100% of which have college degrees and are fluent in English and your account manager is in your timezone. We're solving the problem of helping reps cut through the noise by getting them the information they need to book meetings. Here's more about DataBees: https://getdatabees.com
Based in San Francisco, CA, DataBees is a small internet company with only 127 employees and an annual revenue of $2.9M.

DataBees's mission statement

Straightforward: providing our clients with everything they need to make their sales development team stronger than ever.

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The team at DataBees

  • The founders of DataBees is Tom Nolf.
  • The key people at DataBees is Tom Nolf.
Key people
Tom Nolf

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DataBees financial performance

7.7
Performance score

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    Updated March 14, 2024

    Zippia gives an in-depth look into the details of DataBees, including salaries, political affiliations, employee data, and more, in order to inform job seekers about DataBees. The employee data is based on information from people who have self-reported their past or current employments at DataBees. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by DataBees. The data presented on this page does not represent the view of DataBees and its employees or that of Zippia.

    DataBees may also be known as or be related to DataBees.