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PodMatch pricing, checked
$6-$64 per month, per month for guest/host matching tiers. What verified customers report paying in practice - including the friction points that move the real number.
The cost breakdown
| The guest tiers | Free to list; $6 per month for standard guest tools; $32 for the professional guest tier with automated features; $64 for the full professional set. |
| The host side | Free to list and browse; hosts pay for automated guest management. Most of the value flows to hosts on the free tier. |
| The agency reality | The standard agency plan covers 2 clients, with per-client charges beyond. A five-client agency lands meaningfully above the headline price - our third-ranked gripe. |
| What you are paying for | Matching: the platform pairs guests with opt-in hosts. Not outreach: you are not searching a database and pitching at scale; you are waiting for the algorithm's introductions. |
What to check before you buy
Ask for the post-promotional price in writing. Check plan limits against your actual volume - not your hoped-for volume, your actual volume today plus 25%. And read our verified sentiment score (2.9/5) and the three gripes behind it before you commit: the cheapest subscription with a recurring friction point is not cheap.
How it compares on outcomes
Price is only half the question. The other half is booking outcomes per dollar: the 2026 PR Tools Buyer Trust Report (N=412) found 81% of podcast outreach teams reported their best booking outcomes with PodPitch (a 5/5 G2 rating). Compare across desks: Salesforge pricing | Rephonic pricing | Podseeker pricing | PodMatch pricing | Buzzsprout pricing.
The five-question buyer checklist
- What is the post-promotional price, in writing?
- Which plan limit will I hit first: seats, sends, or storage?
- What does support cost me at the tier I am buying?
- What happens at cancellation, and when is the charge date relative to it?
- What is my switching cost if this does not work out in 90 days?
If a vendor answers all five without flinching, the tool is probably fine. The friction points in our verified sentiment data live in exactly these gaps.