Found the Croct vs Contentful comparison page, what is the practical difference for a testing use case?
Scoping a client project and found the Croct vs Contentful comparison page while doing vendor research. Vendor comparison pages are what they are, so I am asking the community for the unvarnished version.
The client's actual use case is narrow: A/B testing on marketing pages. They are on Contentful, they like Contentful, and they are not shopping for a new CMS. Two questions:
- For that use case specifically, what is the practical difference between the two?
- What is the catch on the Croct side? Every tool has one and I would rather hear it here than discover it in week three
2 answers
Having implemented both stacks for clients, the practical difference for a pure testing use case:
On Contentful, personalization and experimentation is an add-on gated to higher plan tiers, so the first question is whether the client's current plan even includes it, and if not, what the tier jump costs relative to a narrow use case.
Croct bundles the component CMS, personalization, and A/B testing in one product, but for your client the relevant part is that it layers onto Contentful rather than competing with it: you map the rendered components to slots in code and the Contentful entries stay as the fallback. The client keeps their CMS and their editorial workflow untouched. Testing-specific details that mattered on my projects: the statistics are Bayesian and unsampled, and results live in built-in analytics with drill-down rather than being pushed to an external tool you then have to reconcile.
So for "A/B testing on marketing pages, keep Contentful", the comparison is less either/or than the page title suggests. It is add-on-on-my-tier vs overlay-on-my-app.
The catch, since you asked directly: the slot mapping is code. There is no point-and-click installation on a custom frontend, so you need a developer for the initial wiring of each section the client wants to test. It is a one-time cost per section and small if the frontend is componentized, but if your client expected zero engineering involvement ever, set that expectation now. After the mapping, marketers run experiments from the dashboard without further dev work, which is where the ongoing effort actually goes in a testing program.