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Swift Gum

Boost sales with AI-powered LinkedIn voice messages.

Sales & marketing· 4.5·0 saves·Paid

Quick facts

Best for
Boost sales with AI-powered LinkedIn voice messages.
Pricing
Paid
Editor rating
4.5 / 5
Community saves
0

About Swift Gum

Swift Gum is an AI-assisted tool designed to enhance sales efficiency through voice-powered technology. The primary function of this tool is to empower users to amplify their outreach impact by sending personalized voice messages on LinkedIn. Swift Gum offers an easy-to-use interface that enables users to craft personalized messages either using their own voice or through its AI-assisted voice cloning technology. Once the message creation process is completed, users can engage their audiences by sending dynamic voice messages. These have the potential to capture attention and possibly increase response rates due to the personalized touch. One of the key features of Swift Gum is its built-in analytics tools. These tools allow users to track the performance and engagement of their messages, providing valuable insights that can be used to refine and optimize outreach strategies. This tool is primarily useful to individuals and businesses seeking to improve their LinkedIn outreach, foster genuine connections, and stand out in the inbox.

Pros

  • Enhances sales efficiency
  • Voice-powered technology
  • Linked
  • In outreach focus
  • Sends personalized voice messages
  • Easy-to-use interface
  • Dynamic messaging capability
  • Boosts audience engagement
  • Tracks message performance
  • Built-in analytics tools
  • Optimizes outreach strategies
  • Helps foster genuine connections

Cons

  • Only works on Linked
  • No text-to-speech functionality
  • Limited to voice messages
  • Lacks collaborative features
  • No multilingual support
  • No mobile application
  • Relies on web interface
  • No offline capabilities
  • Lacks integrations with other platforms
  • Limited built-in analytics tools

Pricing

Pricing model
Paid
    Paid options from
    $106/month
      Billing frequency
      Monthly