Metrics make sure clients pay for what they value. Packaging makes sure they don’t feel like they’re paying for anything they don’t value.
Surely the best monetization opportunity for AI and SaaS right now is in packaging: high impact, low effort.
For the past six months, you’ve kept adding AI features to your product. Time for a quick reset.
Pull your usage data. Talk to your users. Figure out which AI features are genuinely used and delivering value. Which ones are powerful for 20% of your client base, but confusing for the other 80%.
You’ll find differentiated usage and feedback patterns across your customer base. And that's the signal it's time for a review of feature allocation and bundles.
The "pricing in the AI era" conversation has been hijacked by metrics: outcome-based pricing, consumption models, token-based billing...
But changing your metrics without doing the packaging work is not enough.
It’s not enough to make sure your clients pay for what they value - that’s the role of the metrics.
You also need to make sure they don’t feel like they’re paying for anything they don’t value - that’s the role of the packaging.
