Render-to-Retainer Margin Review (Retention)

Render-to-Retainer Margin Review (Retention)

1. 01

   Pull the last 90 days of render volume per client and tag each asset by output type

   Separate explainer clips, social cutdowns, and ad variants so you can see which deliverables are actually being generated at volume versus which still route through human editors.

2. 02

   Recalculate effective cost per finished asset against the original retainer assumption

   Include model credits, re-render waste, and the review hours spent rejecting outputs. A 15 second clip that took nine renders to pass is not a 15 second clip on the P&L.

3. 03

   Flag any client where AI-generated volume has grown but the retainer line has not moved

   This is the commoditization signal described in the category frame: raw renders replacing strategic storytelling value without a corresponding scope or price adjustment.

4. 04

   Re-read the commercial terms of every generation tool used on billable client work

   Monetization-relevant terms shifted across 105 of 175 AI tools between June and October 2026, so a rights position you priced in Q2 may not hold in Q4.

5. 05

   Reprice the tier that absorbed the most automated output, or move it to a prototyping-only scope

   Position text-to-video as the rapid pre-visualization layer and quote human-directed finishing as a separate line. Keep the margin on the finishing, not the render.

6. 06

   Document the revised scope in a one-page client note before the next renewal conversation

   Clients entering renewals with sharper AI literacy will ask why volume went up and price did not. Arrive with the answer already written.