Gemini reaching 1B users says as much about distribution as product preference

Reddit r/AI_Agents News

Summary

The article analyzes that the 1 billion user milestone for Gemini and ChatGPT highlights the importance of distribution but also underscores the need for metrics like retention and workflow integration to measure true product success.

I left a comment on another post about Gemini reaching 1B users and thought this warranted an independent discussion. Most comments came back to the distribution advantage that Google has. Context: Gemini and ChatGPT both announced 1B users this month. It is true that Google can put Gemini in front of people through Android, Chrome and the rest of its ecosystem. That gives it a reach most AI companies cannot match. But we have seen Microsoft have a similar advantage with Bing, Edge and Copilot. Windows put those products in front of a huge audience. Distribution by itself failed to make them dominant. People still needed a reason to choose them and keep using them. This is why I believe the 1B figure only tells us part of the story. Google reports 1B monthly users for Gemini. OpenAI reports 1B weekly users for ChatGPT. Though they are different reporting windows we do not yet have verified numbers for other metrics like frequency, completed work and repeat use. Building an agent product has made me pay more attention to those metrics. We track connectors added, workflows created and retention. We see better retention once someone connects two or more tools. At that point, the product is tied to a real workflow. People have a reason to come back because the setup is already useful. Every retained user starts as a new user, so reach still matters. The next question is what happens after the first visit. How many people connect their tools, create workflows and come back to delegate another task? That is the number I would like to see from Gemini and ChatGPT.
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