Substack Prioritizes Discovery Over Analytics
Justin Gage, founder of Technically, on how Substack earns its 10% take rate
Weak analytics show that Substack keeps writers with distribution and payments, not with operating software. The product makes it easy to publish, charge readers, and benefit from Substack discovery, but it gives less of the day to day control tools that serious newsletter operators use to segment readers, test funnels, and measure which actions actually drive revenue. That tradeoff works while the writer values network effects more than optimization.
-
The Justin Gage interview makes the gap concrete. Basic traffic and email stats existed, but targeted messaging and deeper reader analysis did not. That means a writer can see top line activity, but not easily act on it with the kind of workflow found in email software built for operators.
-
The clearest comparison is ConvertKit and Beehiiv. ConvertKit grew as creator email software with segmentation and integrations, while Beehiiv positioned itself as a more monetizable alternative to Substack with stronger analytics and ad tools. Substack instead centered the network, reader app, Notes, and one click checkout.
-
That difference maps directly to the business model. Substack takes 10% of GMV, so its priority is keeping writers inside a commerce and discovery network. ConvertKit and Beehiiv sell software subscriptions, so they win by giving creators more knobs to tune list growth, conversion, and retention.
The next phase is more product depth around monetization, not a full pivot into power user analytics. As Beehiiv and Kit keep moving downmarket into creator growth tooling, Substack is likely to keep adding features that increase paid conversion and cross writer discovery, because that defends the take rate more directly than becoming the best analytics dashboard.