You know what the site does
Events defined by meaning — attempts against completed actions — show which pages produce enquiries and which only produce visits.
Measure AI product interest without collecting private prompts.
We define website events for product evaluation, demo use and enquiries. The event plan distinguishes attempts and completed interactions while excluding private prompts, uploaded documents and generated content unless explicitly justified and approved.
A few clients we’ve worked with
What we do
Analytics setup for AI companies: event definitions, data boundaries, signal verification.
What analytics setup needs to account for.
A demo-start event is not the same as a completed evaluation.
Prompt text can contain information unsuitable for marketing analytics.
Repeated or failed model calls can distort engagement reporting.
What you cannot decide without measurement.
Page views alone do not explain which actions the website supports. Without that, every decision about the site is an argument about taste.
Spend has a feedback loop
When a conversion can be verified, campaign and content decisions can be made against outcomes instead of impressions.
The numbers agree
Documenting which system can verify each conversion stops two dashboards reporting two different truths.
Analytics setup scope.
Plan event definitions, data boundaries and signal verification as connected parts of the engagement.
Event definitions
Specify demo start, completion, failure and evaluation-request events. Name the system that confirms each outcome.
Data boundaries
Define permitted properties and consent behaviour. Keep prompt contents, files and private model output out of ordinary marketing analytics.
Signal verification
Test events and duplicates in the destination tool. Document gaps between website engagement and actual product adoption.
What clients say.
Reviews from the companies we have built and maintained websites for.
Read every review on Clutch“We didn’t choose them to be impressed — we chose them because we knew they’d deliver high-level results with no risk. As a CTO myself, that’s exactly what I look for in a long-term partnership.”
“And, you know, the great part about the fact that you hit the goal, it's not that you had to compromise anything that you were doing, because, honestly, the end result far exceeded what we could have imagined.”
“I would just say that you deliver on quality … I just thought we clicked, and you delivered what we were looking for.”
“Norml Studio's professionalism and responsiveness were impressive.”
Analytics setup deliverables.
The agreed analytics setup scope is documented in the following work products.
- 01
Event dictionary and permitted-data plan
- 02
Configured tracking with tag ownership
- 03
Verified event examples and reporting limitations
Our process
How we approach analytics setup.
Define evaluation events
Distinguish demo attempts, successful completion, failure and evaluation requests.
[ 01 ]
Implement permitted properties
Configure consent-aware events without copying private prompts, documents or generated output.
[ 02 ]
Verify destination signals
Check duplicates and failed calls, then document the boundary between website engagement and product adoption.
[ 03 ]The people who do this work.
No account layer between you and them. These are the Norml specialists this work runs through.
Max Tymoshyn
Founder & Architect
Iryna Melnyk
Full-Cycle SEO Specialist
Artur Tsitou
DevOps & Backend Developer
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
Get startedAnalytics setup for AI companies: questions.
Can analytics tell us whether an answer was correct?
No. Behavioural events do not establish answer quality; that requires product evaluation or explicit user feedback with its own handling rules.
Can we track a demo failure without logging the input?
Yes. Status codes and permitted technical properties can describe failure without collecting prompt or document contents.
Discuss analytics setup and the requirements behind your AI product website.