Journey diagnostic
Where revenue is leaking and the priority order for fixing it.
Consulting engagement
Conversion rate optimisation - unlock the revenue hiding in your existing traffic.
Before you pay more for acquisition, convert what you already have. Npexpos runs structured research, hypothesis design and on-site testing so conversion becomes a repeatable practice, not a hunch.
Why Npexpos for CRO?
Most CRO fails because it is tactical: tweak a button, move a heading, hope for a lift. We treat it as a research-led discipline with a proper hypothesis pipeline and statistical governance.
Research before redesign
Quantitative (analytics, session data) and qualitative (interviews, surveys, usability) - the input that makes hypotheses non-obvious.
Statistical rigour
Sample sizing, sequential testing, guardrail metrics - so winners are real and losers stay out of production.
Journey, not just page
We optimise end-to-end - acquisition message, landing, product/service pages, forms and checkout - because friction compounds.
Knowledge that compounds
A learning library so tests teach you something forever - even when an individual winner gets out-shipped next quarter.
Outcomes Npexpos clients measure
Illustrative figures per engagement shape - replace with your verified metrics.
15-35%
Uplift on priority journeys within two quarters
2-3x
Test velocity after research and programme design
8
Phases - each ending in a decision, a learning, or a shipped change
The CRO engagement - in 8 phases
Every phase ends with an artefact or a decision - no endless research loops.
Journey & funnel diagnostic
Quantify drop-off, prioritise the pages and steps that move the number, and park the rest.
User research & behaviour analysis
Interviews, surveys, session replay and heatmaps - combined into a set of non-obvious hypotheses.
Hypothesis backlog
Prioritised using ICE/PIE - with effort, expected lift and learning value made explicit so product and marketing can agree.
Experimentation platform & governance
Tooling, QA, consent, sample sizing and guardrail metrics - the rails that keep the programme honest.
Test design & statistical plan
Test design templates, power analysis, stopping rules - so results are interpretable and defensible.
Shipping & implementation
We work with engineering so winners ship quickly, and we document losers so the learning survives.
Learning library
Every test - win, loss or inconclusive - captured in a library your teams can query when shipping new features.
Enablement & handover
Playbook, training and operating rhythm so CRO becomes a standing capability, not a consultant dependency.
What you receive
Hypothesis backlog
Scored, justified and ready for sprint planning.
Experiment platform & governance
Tooling, consent, QA and sample-size standards.
Learning library
Every test documented for future teams to build on.
Frequently asked questions
Do we need a lot of traffic for this to work?
Not always. At lower volumes we lean on research and journey work; at higher volumes we lean on tests. Both are valid.
Which experimentation tools do you work with?
Optimizely, VWO, LaunchDarkly, Statsig, in-house toolkits - and we can advise on which one fits your stack.
Do you run the tests for us or advise on them?
Both models exist. Most often we design the programme; your team and engineers ship the tests, with our oversight.
How do you avoid false-positive winners?
Sample sizing, sequential testing, guardrail metrics and blinding - and we push back hard on vanity lifts.
Can you cover B2B, SaaS and considered purchase funnels?
Yes - with long-window metrics and CRM-linked outcomes, not just on-site conversion rate.
How long is a typical engagement?
Diagnostics: 3-4 weeks. Programme launch: 10-14 weeks. Retainer: 6-12 months.