Journey diagnosis
Reading pages, devices, steps and doubts that prevent the decision.
Identify barriers on pages and forms and evolve the experience with prioritized metrics, research and hypotheses.
A scope built from your process, with deliverables that the team can validate and use.
Reading pages, devices, steps and doubts that prevent the decision.
Review of events and the funnel to distinguish visit, contact and qualified opportunity.
Prioritized adjustments to copy, navigation, forms, accessibility and performance.
Comparison to baseline and controlled testing when volume and context permit.
Illustrative example of application; does not represent a measured customer outcome.
A company receives visits to the service page, but the form is long and does not explain the next step.
The page clarifies delivery and the form reduces friction; the funnel starts to record where visitors advance or give up.
An initial diagnosis organizes the backlog. Recurrent evolution combines implementation, observation and review of priorities.
A/B testing depends on having a sufficient sample. When it doesn't exist, we use research and usability corrections without presenting variations as statistical proof.
No. We work with hypotheses, implementation and measurement. The result also depends on the offer, the public, traffic and commercial service.
You can fix usability, content, and measurement issues. Statistical tests only come into play when there is volume compatible with the decision.
No. The offer improves the journey and measurement of existing traffic. We can integrate the work with the client's agency or media team.
Tell us which process needs to be improved, the systems involved and the company’s current situation. We will analyze the context and respond via email.
Service of interest: Conversion Optimization. After the initial analysis, we decide whether the next step is a diagnosis, a pilot or a proposal.
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