The most disruptive AI pricing models so far ‡

1. Salesforce: $2 per conversation (Agentforce)

2. Intercom: $0.99 per AI resolution (FinAI agent)

3. Intercom: 10 free tickets per agent, per month (FinAI copilot)

4. Zendesk: Per successful autonomous resolution (Zendesk AI)

5. Microsoft: $4 per hour of usage (AI copilot for security)

6. OpenAI: Per input/output token (GPT-4o)

7. 11x: Per task completed by the AI SDR

8. Clay: Per credit with a credit = a data point or action

9. copy.ai: Per workflow credit

10. relay.app: Per workflow step

11. Bardeen AI: Per automation credit

12. Zapier: Per task automated

13. Captions: Per AI video generation credit

14. Kittl: High watermark of AI credits per day

15. Synthesia: Per minute of video

16. Imagen: Per AI photo edit

17. Aftershoot: Unlimited AI photo edits

18. DeepL: Per user & editable file translation

19. Chargeflow: 25% per successful chargeback

20. EvenUp: Per demand package generated by AI

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Two trends I'm noticing from the disrupters:

πŸ‘‰ Folks are now selling "units of work" completed.

This is a massive paradigm shift from previous eras where we charged based on *access* to the software (seats).

πŸ‘‰ But true outcome-based pricing is still quite rare.

It seems like a win-win, but it's incredibly tough to pull off. As soon as you start charging for success, the customer begins to rethink the results.

Oct 3
at
11:34 AM