Redesign and optimize your online marketplace with a technical-first approach focused on profitability, accurate attribution, and scalable growth.

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Clean, current interfaces built around your brand rather than a stock template.
Designed for mobile first, where the majority of South African traffic lands.
A 2.5 second average load time across the 300+ websites we have built.
Official Shopify partners for ecommerce builds, migrations and support.
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We build Shopify and WooCommerce sites with a technical-first approach that combines user experience, conversion-rate optimisation, and back-end analytics to support revenue-focused outcomes and scalable growth.
We implement GA4, Google Tag Manager, server-side tracking, and data pipeline practices (ETL) to reduce signal loss and align marketing metrics with actual revenue and customer journeys.
CRO is integrated throughout design and development: we use quantitative analytics and A/B testing to identify friction, iterate page layouts and copy, and prioritise changes that increase revenue per visitor.
Design decisions are evaluated by measurable impacts on conversion rate, average order value, customer lifetime value, and acquisition cost, with priorities set to improve profitability rather than vanity metrics.
We handle both new builds and redesigns as well as migrations, performance optimisation, and technical debt remediation while preserving or improving revenue-critical tracking and integrations.
In This Article
Revenue-first Redesign
Clean Attribution
Experiment-Led Growth
Marketplaces face unique complexity: multiple sellers, layered funnels, and intertwined analytics. An online marketplace redesign and optimization services engagement aligns UX, conversion rate optimisation, and tracking so product listings, checkout flows, and partner dashboards drive measurable revenue rather than just traffic. Prebo Digital builds scalable systems that prioritise Lifetime Value (LTV), lower Customer Acquisition Cost (CAC), and clear attribution across channels.
Our process is structured: Strategy → Build → Test → Scale → Report. During Strategy we map multi-sided user journeys (buyers, sellers, admin). The Build phase includes Shopify or custom marketplace engineering, API integrations, and data-layer design. Testing combines A/B experiments, UX audits, and funnel-level statistical analysis.
A clear funnel model separates top-of-funnel discovery (product search, collections), mid-funnel consideration (detailed listings, reviews, seller profiles), and bottom-of-funnel conversion (checkout, post-purchase flows). Tracking and optimisation must treat each side of the marketplace differently.
| Funnel Stage | Primary Metrics (example) | Optimization Focus |
|---|---|---|
| TOF (Discovery) | Sessions, product impressions, CTR | SEO, paid search, category UX |
| MOF (Consideration) | Product views, add-to-cart rate, seller response time | Listing structure, reviews, pricing signals |
| BOF (Conversion) | Checkout conversion, AOV ($), payment failures | Checkout flow, payment UX, server-side attribution |
For US marketplaces, performance media (Google Ads, Meta, TikTok) and platform integrations (Shopify, Stripe, Klaviyo) must feed into unified attribution to evaluate profitability properly. See our services overview for how these pieces fit together: Prebo Digital services.
Callout: Redesign is more than visual refresh. The highest-impact changes are funnel-aligned: listing schema, search relevance, and checkout resilience under peak load.
We document technical requirements up-front: server-side tracking, GTM + GA4 configuration, and data-layer events for every marketplace action (listing view, add-to-cart, seller payout, refund). For examples of our technical-first approach and company background, learn about Prebo Digital: About Prebo Digital.
Engagements are typically monthly retainers with clear milestones: discovery and data audit, prototype and design, development and integrations, experiment roadmap, and reporting. Emphasis is placed on measurable revenue impact - for example, a targeted conversion lift that increases Gross Merchandise Value (GMV) in the United States by a conservative 5-15% (figures are estimates and will vary by vertical and baseline performance).
A common tracking diagram includes browser events, a server-side GTM endpoint, a warehouse (BigQuery or Redshift), and BI dashboards for MER and CAC by cohort. This architecture reduces attribution loss from ad blockers and iOS restrictions and provides clean inputs for performance media optimisation.
Example: A US marketplace using our redesign and optimisation services implemented server-side tracking and an A/B test on listing layout. After 8 weeks the test showed a 9% increase in add-to-cart rate and a 4% increase in checkout completion - metrics routed into paid media bid strategies to lower CAC. These numbers are illustrative; real results depend on catalogue size, traffic sources, and campaign budgets.
We integrate with Shopify or custom marketplace platforms and align experiments to paid media across Google Ads and Meta. To understand how these services combine into a long-term partner relationship and the technical capabilities we provide, review our homepage and integration approach: Prebo Digital homepage and the services overview: Services at Prebo Digital.
Typical engagements run on monthly retainers and include scheduled reporting that emphasises MER, LTV by cohort, and CAC trends rather than vanity metrics. Reporting is tied back to the funnel breakdown so teams can see which experiments produced revenue impact and where to reinvest ad spend.
If you want to review specifics or discuss a marketplace scope, use our contact page for the next step: Contact Prebo Digital.
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