Upsells and cross-sells that

Upsells and cross-sells are the most direct way to increase revenue per customer without increasing traffic. Done well, they feel like a helpful recommendation. Done badly, they feel like a checkout obstacle.

Trusted by Australian businesses since 2006
Average Order Value Product Recommendations Checkout Upsells 100% Australian

More revenue from every order you already earn.

Acquiring a customer is the most expensive thing you do. Once someone has bought, the cost of that acquisition is sunk , selling more to them costs a fraction. Upsells and cross-sells are how you make the most of every transaction.

THE ECONOMICS

AOV is the most controllable revenue lever.

Average Order Value (AOV) is directly influenced by what you offer alongside a product and when. A well-placed product recommendation at checkout, a bundle offer on a product page or a post-purchase upsell can add 10–30% to average order revenue without touching your acquisition costs.

THE EXPERIENCE

The best upsells don't feel like upsells.

Customers reject upsells that feel irrelevant or opportunistic. They respond to recommendations that genuinely fit their purchase , the natural companion to what they're buying. The art is in relevance and timing, not aggression.

Optimise My Store

What upsells & cross-sells covers.

The core disciplines that make upsells & cross-sells work , each one contributing to better performance, rankings or conversions.

01
Product Page Cross-Sells

Relevant companion products shown alongside the item being viewed , bought together, frequently paired.

02
Cart Upsells

Offers triggered at add-to-cart or cart review, based on what's in the basket.

03
Checkout Upsells

One-click add-ons at checkout , the highest-intent moment in the customer journey.

04
Post-Purchase Offers

Offers served after payment is confirmed, when the customer is in a peak positive state.

05
Bundle & Volume Offers

Structured bundles and quantity incentives that increase AOV while delivering value.

06
Recommendation Engine

Rule-based or algorithmic product recommendations across the store.

REAL RESULTS

See It In Action.

See how our design, development, SEO and GEO work has delivered measurable results across real client projects.

3.5x
Organic Growth

Organic search traffic has grown by more than 3.5 times and continues to increase.

27K+
Organic Clicks

More than 27,000 clicks generated directly from Google Search.

2.89M
Search Impressions

More than 2.89 million impressions generated across Google Search.

16
Months of SEO

Consistent optimisation delivering sustained, long-term organic growth.

What Our Clients Say.

Don't take our word for it , here's what the businesses we've worked with have to say.

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The team at Swift Productions were prompt, professional and provided us with some great designs for our latest car audio flyer. I personally was surprised at the speedy delivery and communication throughout the entire process.

James D
Marketing, Kenwood
★★★★★

I engaged Swift Productions to desgin my ecommerce store about two months ago. During the time that I have worked with them, their communication has been nothing short of excellent.

Collin W
Director, Music440
★★★★★

Amazing service, we would definitely recommend Swift Productions. Danny and team were great, helped us create our Straw Belicious Shopify website.

Christina
Director, Strawbelicious
★★★★★

They follow through the entire process of your listing templates 100%. Danny had been a magnificent employee who help me through the listing. He is wealth of knowledge.

Vips
Marketing, Dolphy
★★★★★

Monica you've been amazing throughout the entire process. Turning stuff around on a dime and nothings ever been too much trouble.

Rick Z
Foxtel
★★★★★

I had such terrible service from my previous store designer would never answer me no communication whatsoever. So I had to look for someone else. I decided to change to Swift and have never been happier.

Valerie J
Director, Cherry Hair & Beauty

Trusted by businesses across Australia.

Over two decades of websites, strategy and growth, delivered.

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Websites Delivered
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Years Experience
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Happy Clients
Millions
In Revenue Generated
COMMON QUESTIONS

Upsells & Cross-Sells FAQs.

What is the difference between an upsell and a cross-sell?

An upsell is an offer of a higher-value version of what the customer is buying , a better model, a premium tier, a larger size. A cross-sell is a complementary product alongside the purchase , batteries with electronics, a bag with shoes. Both increase average order value but through different mechanisms.

When is the best time to show upsells?

It depends on the offer. Product page cross-sells work when the customer is in research mode. Cart upsells catch them just before commitment. Checkout upsells work at peak intent , the customer has already decided to buy. Post-purchase offers work because the customer is in a positive state and their card details are already in. Different offers suit different moments.

How do I know which products to recommend?

Start with purchase data: what do customers actually buy together? Then layer in complementary logic , what would genuinely be useful with this item? The worst upsells are algorithmically random or obviously highest-margin. The best ones feel like good advice.

Can upsells hurt conversion?

Yes, if done badly. Intrusive popups, irrelevant recommendations, friction at checkout and aggressive re-prompting all reduce conversion. The goal is relevance and ease of acceptance , one tap to add, not a new decision process.

What AOV increase is realistic?

It varies by store and category, but well-implemented upsell and cross-sell programmes typically deliver 10–30% AOV improvement. The compounding effect is significant: a 20% AOV lift with the same traffic and conversion rate means 20% more revenue.

Does Shopify have built-in upsell tools?

Shopify has some native upsell features (like post-purchase offers in checkout) and a rich app ecosystem for more complex recommendation engines. As an official Shopify Partner, we implement and configure the right approach for each store.