BigCommerce · CRO
BigCommerce CRO agency
BigCommerce puts more of the funnel within reach than most hosted platforms. Checkout runs on your own domain and can be adjusted, filtering is native so it is tuned rather than replaced, and customer groups let different segments see different pricing. Conversion work here is mostly configuration and theme work instead of app installation.
What BigCommerce changes
Platform facts that shape the work
These are true of BigCommerce today and they decide the approach before any strategy does.
Checkout is on your domain and adjustable
The optimized checkout can be styled and configured, and for deeper changes the platform provides a toolkit for building a custom checkout on the same domain. That is a real difference from platforms where the final step cannot be altered.
Faceted search is part of the platform
Filters, their order and the values they expose are configured rather than added by a third party. On a catalog with real breadth, tuning which facets appear on which category is among the strongest conversion levers available.
Customer groups change what people see
Groups can be shown different prices, categories and payment options. That supports trade pricing, membership offers and regional differences without duplicating the catalog or building a separate store.
Script Manager scopes test code
Testing tools can be loaded on specific pages and in a specific position rather than across the whole store. That limits the performance cost of an experiment and makes it easy to remove cleanly when the test ends.
Page Builder puts layout in merchandising hands
Content regions can be edited without a developer, so a winning layout can be rolled out the same day and a losing one reverted just as quickly. It also means layout drift is easy, so a review habit matters.
Several features ship natively
Reviews, filtering, multi currency and wish lists come with the platform. A store can offer these without stacking third party scripts on every page, which keeps the templates lighter than the equivalent build elsewhere.
The work
Item by item, inside BigCommerce
Funnel measurement by template
The path from category to product to cart to order measured per template and per device, with filter usage and internal search included, because on a broad catalog navigation behavior explains most of the difference between segments.
Faceted search tuning
Facets chosen per category rather than store wide, values ordered by what shoppers actually use, empty and near duplicate filters removed, and the result checked against how quickly people reach a product they want.
Checkout configuration
Fields, guest checkout, address handling, delivery presentation and payment method order reviewed, with the scope of any custom checkout build decided honestly against what the default already does well.
Product template work
Option selection made obvious, stock and delivery expectations stated near the buy button, image handling improved, and review content presented where it answers the hesitation rather than at the bottom of the page.
Segment specific experiences
Customer groups used where a segment genuinely needs different pricing, categories or payment terms, with the experience tested for that group rather than assumed to work because it works for everyone else.
Performance in the theme
Script Manager entries audited, Page Builder regions checked for weight, images served at sensible sizes and the main content of each template made to arrive quickly on a mid range phone.
Ranked test program
Opportunities ordered by revenue at stake, tests run one at a time on templates with enough traffic to read, and results verified against order records rather than the testing tool's own conversion count.
What goes wrong
On BigCommerce, specifically
- Exposing every available facet on every category so the sidebar becomes longer than the product grid
- Committing to a custom checkout build before measuring what the default checkout is actually losing
- Loading a testing script across the whole store when the experiment runs on one template
- Letting Page Builder regions accumulate widgets until the category page loads slowly on mobile
- Reading results for all shoppers together when customer groups see different prices
How much of the BigCommerce checkout can be changed?
Styling, fields, guest checkout and how delivery and payment are presented are configuration. Beyond that, the platform supports building a custom checkout on your own domain, which is a development project with ongoing maintenance. Most stores get further by tuning the default before committing to that.
Is native filtering good enough for a large BigCommerce catalog?
For most catalogs, yes, once it is configured properly. The common failures are exposing too many facets, filters with values nobody uses, and the same facet set applied to every category. Tuning per category usually improves the experience more than replacing the system.
Should customer groups be used for promotions?
They work well when a segment genuinely buys differently, such as trade accounts or a membership tier. They are less suited to short campaigns, where a promotion or coupon is simpler. The test is whether the difference is structural or temporary.
How do you run A/B tests on BigCommerce without slowing the store?
Scope the test script to the pages it needs through Script Manager, load it early enough to avoid a visible repaint, and remove it as soon as the test concludes. For larger changes, two theme variations with traffic split avoids browser side rendering altogether.
Where do BigCommerce stores usually lose the most orders?
Most often between category and product, on catalogs where filtering and merchandising make the right product hard to find. Checkout gets the attention because it is the last step, but the bigger loss is usually people who never reached a product page that suited them.
More on BigCommerce
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