PO

PodHype

Done-for-you podcast audience growth — builds your owned email and WhatsApp list, drives reviews, and automates referrals.

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Pricing

Paid
CoreCustom
  • Automated 5-star review generation
  • Email + WhatsApp audience capture
  • Automated referral prompts
  • Branded bonus page
Top TierCustom
  • Everything in Core
  • Managed weekly newsletter
  • WhatsApp broadcast service
  • Episode premiere announcements

Key Features

Done-for-you audience growth (no extra work for host)
Automated review generation on Apple Podcasts and Spotify
Private filtering of negative reviews before going public
Email and WhatsApp audience list building
Automated referral system (listeners bring listeners)
Managed newsletter and WhatsApp broadcasts (top tier)
Branded bonus page for listener capture
400+ podcasters, 31,000+ reviews captured

Platforms

Web

Integrations

Apple PodcastsSpotifyWhatsApp

About PodHype

PodHype is a done-for-you audience growth service built exclusively for podcasters. The platform helps independent podcast hosts break dependence on Apple and Spotify algorithms by building a directly-owned audience list — collecting listener emails and WhatsApp numbers through branded bonus pages linked in episode show notes. Trusted by over 400 podcasters with more than 31,000 reviews captured, PodHype operates a continuous growth loop that runs automatically with every episode published.

The service covers four core functions: automated review generation on Apple Podcasts and Spotify (with private filtering of negative reviews before they go public), audience list building via email and WhatsApp capture, automated referral prompts that turn existing listeners into a growth engine, and — on higher-tier plans — a fully managed newsletter and WhatsApp broadcast service. Podcasters simply record their episodes; PodHype handles the growth mechanics in a continuous loop.

Plans are offered on two tiers with no long-term contracts, designed for podcasters who want consistent, compounding audience growth independent of platform algorithm changes.

Reviews

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