Funnel & search diagnostic
Evidence pack with step-level CVR, drop-offs, search dead-ends and prioritised fix list.
Consulting engagement
Ecommerce merchandising and storefront CRO - the growth hiding inside your existing traffic.
Npexpos restructures category architecture, PLP and PDP experience, on-site search, promos and checkout - so the traffic you already have earns more revenue, at healthier margin, without another round of acquisition spend.
Why Npexpos for ecommerce merchandising?
Most ecommerce programmes confuse CRO with button-colour tests. We treat storefront experience as a merchandising system - category, search, ranking, promo mechanics and checkout - all optimised against margin, not just conversion rate.
Merchandising as a system
Taxonomy, PLP sort order, badging, cross-sell and promo mechanics are treated as one system, not five disconnected backlog items.
Research-led, not aesthetic-led
Session replay, funnel analysis, on-site search logs and qualitative research - so changes respond to what users actually do, not what a workshop guessed.
Margin-first CRO
We optimise for contribution margin per visitor and average order value, not just CVR - because "more conversions on low-margin items" is rarely a win.
Platform-aware
Shopify Plus, Magento/Adobe Commerce, commercetools, BigCommerce - we work with the platform you have and do not manufacture replatforming projects you do not need.
Outcomes Npexpos clients measure
Illustrative ranges, typical of our engagement shape - replace with your verified metrics once deployed.
+10-25%
Revenue-per-visitor lift from PLP/PDP/search/checkout restructuring, within a quarter
+5-15%
AOV improvement from merchandising and cross-sell rework
8
Discrete phases, each shipped with decision logs and owners
The ecommerce engagement - in 8 phases
Structured like a flagship programme, run as a consulting sprint. Each phase delivers an artefact your ecommerce, product and trading teams can own and reuse.
Funnel & behavioural diagnostic
Traffic segmentation, step-level CVR, drop-offs by device, session replay patterns and on-site search dead-ends - the evidence base before any redesign.
Taxonomy & category architecture
Category tree rewritten around how buyers actually shop - navigation, filters, breadcrumbs and SEO-friendly URL structure.
PLP ranking & badging
Default sort by contribution (not just popularity), badging rules, out-of-stock handling, promo amplification - wired to merchandising rules, not individual overrides.
PDP experience
Gallery, variant selection, social proof placement, cross-sell, delivery messaging and stock urgency - ordered against observed purchase hesitation, not what "looks busy".
On-site search overhaul
Query log analysis, synonyms, tuning, personalisation and zero-result rescue - often the single highest-impact workstream in the whole engagement.
Promo mechanics & pricing display
Discount logic, bundling, basket thresholds and price presentation - optimised for AOV and margin, not just conversion rate theatre.
Checkout & post-purchase
Address, payment methods, guest checkout, error handling, trust signals and post-purchase upsell - every step de-frictioned and measured.
Governance & experiment programme
Experimentation cadence, prioritisation scoring, decision log, stakeholder review, and a handover so the in-house team owns the programme.
What you receive
Tangible artefacts - not a slide deck that rots on a shared drive.
Merchandising playbook
Taxonomy, PLP ranking rules, badging, promo mechanics and cross-sell logic documented for trading.
PDP & checkout specs
Ticket-ready UX and content specs with before/after wireframes and acceptance criteria.
Experiment programme
Backlog, prioritisation scoring, cadence, test-doc template and decision log.
Frequently asked questions
Is this CRO in disguise?
There is overlap, but the scope is broader - merchandising mechanics, on-site search, promo logic and taxonomy sit alongside traditional CRO work.
Do you work with our platform?
Shopify Plus, Magento/Adobe Commerce, BigCommerce, commercetools and custom stacks are all supported. We adapt the work to what your tech team can realistically change.
Do you lead the re-platforming decision?
Only as a last resort. Most engagements prove you can get 80% of the gains on your existing stack - and we say so if the data supports it.
How is success measured?
Revenue per visitor, AOV, contribution margin per visitor, checkout completion and time-to-stock-out - picked against the business goals we agree on in week one.
Can you run the experimentation programme for us?
Yes, we can operate the programme during a 90-day sprint, or advise and upskill your in-house team.
Can you train our in-house team?
Every engagement includes enablement sessions for trading, product and engineering so the programme continues without vendor dependency.