Analytics for indie SaaS founders comes down to one question that most tools cannot answer: which traffic source produced the customers who actually paid. Traffic reports rank sources by visits, and the revenue ranking is almost always different. DataSpice reads your web analytics and your Stripe revenue into one workspace so those two rankings sit side by side, without a cookie banner and without a data model to design first.
The question a traffic report cannot answer
A traffic report tells you that Reddit sent four hundred visitors and a newsletter sent forty. It does not tell you that the forty produced three paying customers and the four hundred produced none. Ranked by visits those two sources are ten to one; ranked by revenue the order reverses, and the second ranking is the one that should decide where your next week goes.
Joining them by hand means exporting from two tools and matching on dates, which is slow enough that most founders do it once and never again.
What connecting Stripe gives you
Connecting Stripe brings paid revenue into the same workspace as the traffic, so a customer can be read back to the acquisition source that produced them rather than being a separate number in a separate tab. It is a read-only authorisation from workspace settings and it is optional.
The honest caveat, which applies to every tool that does this: the join is only as good as the attribution underneath it, and any visitor who arrived without a referrer cannot be attributed by anyone. That is discussed in full in the writing on revenue attribution.
Why there is no consent banner to add
DataSpice sets no cookies for analytics, so there is nothing for a consent banner to ask permission for and the script can load on first paint. The compliance saving is the obvious half of that. The bigger half is that every visitor who would have declined the banner is a visitor you can still see, and on a small site that is a large share of the total.
The rule that puts a banner on most sites is the ePrivacy Directive rather than the GDPR, and the distinction matters. The article on cookie banners sets out what Article 5(3) actually says.
Why the bill does not grow when you hire
Pricing is based on monthly tracked events, and team size is an allowance inside each tier rather than a per-seat multiplier. Adding a colleague within your tier's allowance does not change the bill.
The entry tier is built for one person, so a two-person team starts a tier higher than it would on some competitors. The tiers and their current allowances are on the pricing page; no figure is printed here, because prices are served from the billing catalogue and change.
When a dedicated product analytics tool is the better choice
Some questions are behavioural: where people drop out of onboarding, which cohort retains, what a session actually looked like. For those, use PostHog, Mixpanel or Amplitude. DataSpice does not do funnel exploration, retention cohorts, session replay or feature experiments, and adding them is not the plan.
DataSpice is the better fit when the question is where customers came from and what they paid. Those are different jobs and it is normal to want both.