How do you decide what features should be free and what should be paid?
Let me start from the creator’s perspective:
I personally don’t have a product (apart from hiring people for creative work or offering personal consultations).
But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).
So some things I share for free to eventually move toward a paid collaboration.
Personally, it’s sometimes hard to judge when I might be giving away too much for free.
And I assume it’s similarly tricky for builders.
You want users to try the product, but then comes the question of paid features, or a trial limited by time or usage.
How do you decide which parts of your product or service remain free, and which become paid?
When I share content publicly, I usually provide generalised advice. But when it comes to a specific case or a tailored strategy that requires a personal approach, that’s where it becomes paid.
Replies
the real answer nobody here is saying: if your product has variable costs per user (like AI inference), your free tier IS your marketing budget. treat it that way.
i run AI-heavy pipelines and every prompt costs real money. so i structured it as: free tier = enough to hit the wow moment, maybe 5-10 uses. paid = unlimited or high volume. the key insight was tracking exactly where users go from "oh cool" to "i actually need this in my workflow" and putting the gate right after that moment.
what changed everything for me was caching aggressively. i cache outputs with vector similarity search so if someone requests something close to what already exists, i serve the cached version instead of burning another API call. cut my costs by 60-70% overnight. suddenly the free tier became way more generous without actually costing more.
the trial vs freemium debate is a false choice imo. trials work when your product needs time to click (like writing tools or habit apps). freemium works when value is immediate but scales with usage. combining both usually just confuses people about what theyre actually getting.
@busmark_w_nika When I first launched my browser extension ChatGPT Toolbox, all features were free, and I made analytics on each features that was incremented to know what are the most porpular ones.
Several months after, when I had enough active users, I decided to make me extension freemium and I already knew what features I should charge for.
Rankfender
With Rankfender, we decided that we will go with 14-days trial first : not a good idea !! the free trial costs us money. Every time someone signs up, we're calling ChatGPT, Gemini, Perplexity., Data apis, Docker workers.. Those API calls add up. Some people run hundreds of searches. We pay for all of it. Peopla generated articles that never got used...
We tried shorter trials. People didn't have enough time to see if it worked. We tried longer. Costs got too high and people still didn't convert. 7 days is where we landed.
The truth is most people don't convert. They use the trial, burn through credits, and leave. We just accept that as the cost of finding the ones who actually need it.
What do you do? Cap usage? Shorten the trial? Or just eat the cost like we do?
In our case, we give users a quick “aha” moment by showing their resume score and why they’re not getting interviews.
That creates awareness. And the paid features deliver real transformation: helping fix the CV, tailor it to specific roles, and improve results.