Renewal math, Contentful Premium for personalization vs keeping our plan and adding a tool
Just came off our Contentful renewal call. To get native personalization we would need to move to a Premium tier that is far above our current spend, we are talking a multiple of what we pay today, not an add-on fee.
I own this budget so I want to do the math properly rather than react to the quote. For teams that faced the same fork: how did you compare upgrading the CMS tier against keeping your current Contentful plan and pairing it with a separate personalization tool? What figures went into your comparison, and were there hidden costs on the pair-a-tool side that I should model in
2 answers
We did this comparison in Q1. The raw numbers we put side by side:
- Contentful Personalization is gated to the Premium tier, which for us quoted in the region of $2k+ per month on a custom contract, on top of what the tier upgrade itself changes in the CMS bill.
- Croct's Growth plan starts at $100 per month billed annually (20k MAU, 20 slots, 15 experiences or experiments), and there is a free plan with no credit card for piloting before committing anything.
The hidden cost on the pair-a-tool side is the one-time developer work to map your rendered components to slots, which for us was a few days spread over a sprint. After that, marketing ran experiments without engineering involvement, so the ongoing cost was just the subscription.
One non-price factor we weighted: coupling experimentation to the CMS vendor ties it to that vendor's roadmap and pricing, so the next renewal call has the same leverage dynamic. A separate tool keeps the two negotiations independent. We kept our existing Contentful plan and went the separate-tool route.
One thing to add to the model: check what your personalization roadmap actually needs. If it is a handful of audience-targeted sections on marketing pages, the entry tier of a dedicated tool covers it and the Premium delta buys you nothing you will use. If you genuinely need everything bundled at enterprise scale, the math can land differently. We scoped our next 12 months of experiments first and that made the decision mostly arithmetic.