Make your podcast work harder.
Cost saved — + sponsorship inventory —
Estimated — see what this model assumes
Estimated annual saving vs. conventional video production
At this length and tier, conventional production is the cheaper line. Per-minute pricing scales with episode length, so a long episode can exceed a low fixed-price benchmark. The reach and sponsorship figures below still apply — conventional production of one video per episode does not produce the social assets.
Estimated annual video impressions across long-form and social
Starting from zero. With no posting history there is nothing to project from, so this uses a flat assumption for a new channel at the scenario you picked.
Estimated annual value of the sponsorship inventory that reach creates
What this model assumes
Fixed across every scenario
- Liquid Studios pricing of $10 per finished minute of video.
- 2 social clips produced per episode, alongside the long-form video.
- 300 views per long-form episode video.
- Conventional benchmarks of $1,000 / $5,000 / $12,000 per episode for basic, standard and premium production.
Set by the scenario you choose
- Social lift — the multiple applied to your current views per social video (1×, 2×, 3×).
- New-channel views — used instead when you have no posting history (500, 1,500, 3,000 per clip).
- Sponsor CPM — $20, $30 or $40 per thousand impressions.
- Sell-through — the share of inventory assumed sold (50%, 75%, 100%).
What we are less sure about
The social lift multiples and the new-channel view counts are modelling assumptions, not research-backed benchmarks. Real performance depends on format, niche, posting cadence and the platform's distribution, and varies by orders of magnitude between shows. The cost side is far more solid than the reach and sponsorship sides; weight them accordingly.
These are estimates, not a quote. The cost side is grounded in Liquid Studios' per-minute pricing and published production benchmarks. The reach and sponsorship sides rest on modelling assumptions about social performance that vary enormously by show — treat them as a range to discuss, not a forecast.
Run it on your actual catalog.
A calculator can only model a show. Bring us your feed and we will come back with real numbers — what your back catalog costs to transform, what comes out the other side, and how quickly.