How do I run a pricing or packaging experiment on a live self-serve funnel without blowing up revenue?
Change one variable, apply it only to new signups, and grandfather everyone already paying. Existing customers seeing a price change is a support crisis, not an experiment. Give it a full billing cycle plus a bit, because conversion in self-serve often lags signup by weeks and a two week read will lie to you. Watch revenue per signup rather than conversion rate, since a change that converts fewer people at a higher price can easily be the winner and a conversion-only dashboard will tell you to roll it back. Write down what would make you revert before you launch, so you are not arguing about it while the numbers wobble.
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5 resources, 2 India-specific, 5 link-checked.
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Seven hybrid pricing patterns with named companies (GitHub, Shopify, Intercom, Zapier), plus Poyar's point that the enemy is not subscriptions, it is inflexible upfront commitments.
A short, specific list of what to instrument on a self-serve funnel, including time to activation and time to convert, which are the two most people forget to track at all.
Poyar replaces the sales funnel with a five stage new user journey (discover, start, activate, convert, scale) and attaches benchmark ranges to each. It is how you find out which stage is actually broken.
A full 0 to 100M ARR guide from an Indian company that lived it, covering acquisition, activation, retention, monetisation and the metrics for each. The best single India-built reference on self-serve.
Shoor changed pricing repeatedly at Kayako and talks about what it did to existing customers, which is the risk this question is really asking about. He is candid about the changes that cost him rather than just the wins.