This was not a typical migration.

Projects of this size usually take four to six months, but we had just eight weeks to deliver. There was no usable build to inherit, only wireframes, which meant the entire site still needed to be designed, developed, integrated, and migrated.

The technical scope added even more complexity. BargainMax has a large product catalogue with detailed tagging, and close to a million data points needed to be migrated accurately. Multiple third party systems, payment providers, and personalisation tools also needed to be integrated, alongside international functionality.

At the same time, the business was under immense pressure. The first attempt at a migration had failed, so we needed to rebuild confidence while delivering quickly and reliably.

Discovery and Planning

We started with an on-site discovery session to assess what had been done and define the most efficient path forward.

From there, we built a clear delivery plan with tight milestones. To meet the deadline, design, development, and migration all ran in parallel rather than sequentially.

Design and Build

After reviewing the previous agency’s wireframes, we identified areas that needed improvement and moved straight into high-fidelity designs and prototyping. This allowed us to move faster while giving the team full visibility of the final output.

The site was built using Shopify’s Online Store 2.0 architecture, with sections and blocks configured to give the internal team full control over content and layout without relying on developers.

Navigation was designed to handle a large catalogue while remaining easy to use, with a menu that can be adjusted without code as the team learns what works best.

We focused on areas that would have the greatest impact on performance and day-to-day operations.

Custom Data Migration Framework

We built bespoke scripts to manage the migration of products, customers, orders, and taxonomy. This gave us full control over mapping, validation, and error handling, which was essential given the volume and complexity of data.

Real Time Shipping Logic

We implemented dynamic shipping calculations based on postcode, with delivery costs surfaced clearly across the site. This required custom logic beyond standard Shopify configuration.

Advance Search and Personalisation Integration

Nosto was integrated to improve search, merchandising, and product recommendations, helping customers find relevant products more quickly.

Promotions Configuration

We configured complex promotional logic using Shopify Scripts and native functionality, enabling offers such as spend thresholds, free gifts, and product specific discounts, all manageable by the internal team.

Performance Optimisation

We optimised front-end performance and Core Web Vitals to improve load times, which supports both SEO and conversion.

Analytics and Tracking

GA4 and Google Tag Manager were implemented with structured tracking, giving the team reliable data for ongoing optimisation.

We successfully migrated close to a million data points while the existing site remained live.

This included products, customers, orders, content, and the full tagging structure. The process required careful coordination to ensure all data was captured accurately up to the point of launch and validated before going live.

To deliver at this pace, we worked as one team with BargainMax.

Communication was handled in real time through Slack, with daily check-ins to keep everyone aligned. This allowed decisions to be made quickly and issues to be resolved without delay.

The new site launched on time and delivered strong early gains ahead of peak season.

Within six weeks:

Orders increased by 37%
Conversion rate rose to 3.59%
Customer engagement improved across the full journey

More visitors were browsing products, progressing to checkout, and completing purchases.

Just as importantly, the team can now test and launch ideas in days rather than weeks, allowing them to move much faster.

The platform also provides a strong foundation for future growth, including international expansion and ongoing optimisation.

Following launch, we moved into a structured optimisation programme focused on testing and continuous improvement.

This approach allows the team to prioritise changes based on data and build long-term gains over time.