Increase Average Order Value
The cleanest ways to increase average order value come from your own order data: which products sell together, where carts stall just below a threshold, and which add-ons people come back for later. We use that data to design bundles, upsells and offers, then test them.
What you can expect to move
- Online revenue
- Conversion rate
- Average order value
- Cart recovery rate
Why “increase average order value” rarely happens with one channel
AOV tactics often get copied from other stores without checking fit. A free-shipping threshold set too high makes people abandon; set too low, it gives margin away. Generic 'you may also like' widgets show random bestsellers instead of genuine complements, and aggressive pop-ups at checkout distract people from paying. Many brands also celebrate a higher AOV while discounts quietly eat the extra revenue.
We analyse basket composition, price distribution and order value clusters to find natural bundles and sensible thresholds. Then we design changes on the product page, cart and post-purchase page: pre-built kits, quantity breaks, add-on suggestions and email follow-ups for complementary items. Each change runs as an A/B test where traffic allows, measured on gross margin per order. You keep the winners and a clear record of what did not work and why.
We find the constraint first, then put the right specialist services under one plan and one owner, so every change is measured against the same outcome.
How it all comes together
Diagnose
Baseline the metric, find the constraint and size the opportunity.
Design
Choose the service mix and sequence that removes the constraint fastest.
Deploy
Specialists execute in parallel under one plan and one owner.
Optimise
Weekly iteration against the outcome, not vanity metrics.
Services that deliver this solution
Each one is a specialist discipline. Together they remove the constraint.
Conversion Rate Optimization Services
Find and fix where visitors drop off, using analytics, session recordings, user research and testing.
ExploreUX Design Services
User flows, information architecture and tested wireframes that make tasks easier to finish on web and app.
ExploreEmail Marketing Services
Deliverability fixes, list hygiene, automated flows and regular campaigns that reach the inbox and get read.
ExploreCustomer Analytics Services
Cohort retention, lifetime value, RFM segments and churn signals built from your order and CRM data.
ExploreWhat we measure
Online revenue
Baselined in week one and reported monthly.
Conversion rate
Baselined in week one and reported monthly.
Average order value
Baselined in week one and reported monthly.
Cart recovery rate
Baselined in week one and reported monthly.
Your first three months
Diagnose & quick wins
Audit, tracking fixes, baseline and the first quick wins live.
Build & launch
Core changes shipped across the service bundle; testing begins.
Optimise & scale
Double down on what works, cut what does not, plan the next quarter.
You may also be interested in
Problems this solves
Roles that use it
Industries
Platforms involved
More ecommerce solutions
Case studies & resources
Real-world results and practical reading to help you plan your next step.
Client stories
How similar work has played out for other businesses.
Helpful resources
Guides, tools and articles our team recommends on this topic.
Questions we often hear
Straight answers to the things clients ask us most. If yours isn’t here, just ask.
How do I set the right free shipping threshold?
Do product bundles reduce profit?
How quickly can you help us increase average order value?
Do we need all the services in the bundle?
Can you work with our in-house team?
Talk it through with someone who has done it before.
A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.