Lytik turns product behavior into evidence-backed recommendations and measurable improvements. Each capability answers a real customer question and supports a real decision.
Signal → Evidence → Recommendation → Experiment → Result.
The question
Which changes in product behavior deserve attention?
What you see
A plain-language description of what changed, where, and for whom — with direction, magnitude, and severity.
What it supports
Deciding what is worth a closer look instead of scanning every dashboard for movement.
The question
How much should I trust this finding?
What you see
The behavioral context around a Signal — journeys, segments, timing, and related metrics — with an indication of confidence based on the available evidence.
What it supports
Judging whether a finding is worth acting on, with appropriate uncertainty made visible.
The question
What should the team investigate or test next?
What you see
A prioritized recommendation with a suggested action, owner, and priority, linked back to the Signal that prompted it.
What it supports
Choosing what to address next from a shared, evidence-backed basis rather than opinion.
The question
Who decides what ships?
What you see
A review step where a person approves, refines, or dismisses each recommendation before anything happens.
What it supports
Keeping people in control of the product. Lytik supports decisions; it does not change a live product on its own.
The question
How do we know the change worked?
What you see
An approved recommendation connected to an experiment or a tracked change, with hypothesis, audience, and measures defined.
What it supports
Testing a change and measuring its effect rather than assuming it worked.
The question
Did a product change produce the intended result?
What you see
The result linked back to the original Signal and recommendation, with direction, confidence, and guardrails.
What it supports
Closing the loop and building a record of what was tried and what happened.
A written summary of what changed and what to do — so leaders and teammates can understand what deserves attention without reading every dashboard.
Ask questions about your data in plain language and get answers grounded in the same evidence behind the Signals and recommendations.
These provide the behavioral context for the intelligence loop.
Active users, sessions, events, and trends.
Conversion and drop-off through multi-step sequences.
Cohort retention over time.
What gets used, by whom, and how often.
The real paths users take through your product.
Revenue and conversions tied to channels.
Targets with on-track, at-risk, and behind status.
Notified when metrics move outside their expected range.
How your metrics compare to industry peers.
Test changes and measure statistical significance.
A written summary of what changed and what to do.
Ask questions about your data in plain language.
Lytik is designed to work alongside your existing analytics and product data sources rather than replacing them. What can be connected, and how, is determined as part of implementation.
A self-contained walkthrough — no sign-in required.