Why Is My Average Order Value Low?

2.1 Your Website Encourages Single-Product Purchases

One of the biggest hidden reasons for weak AOV is:

single-item buying behaviour

Many ecommerce websites unintentionally encourage customers to:

buy one product and leave.

This frequently happens because websites lack:

• Product bundles
• Relevant upsells
• Smart cross-sells
• Basket-building incentives

For example:

A skincare customer buying:

cleanser

may never be encouraged to also purchase:

• Serum
• Moisturiser
• Sunscreen

Similarly:

A fashion customer purchasing:

one item

may never be shown:

a complete outfit.

The strongest ecommerce brands intentionally improve customer behavior through conversion psychology because buying behaviour is rarely random.

Customers spend more when websites reduce:

decision-making friction.

This becomes especially important on product detail pages where purchase decisions happen quickly.

2.2 Your Product Pages Are Not Building Enough Purchase Confidence

Many ecommerce businesses underestimate how much product detail pages affect Average Order Value Weak product pages frequently create hesitation.

Customers buy:

only the minimum-risk purchase

instead of exploring additional products.

Customers increasingly expect:

• Better product descriptions
• Trust signals
• FAQs
• Product education
• Social proof
• Better calls to action

Weak user experience often reduces confidence.

Customers may ask:

• Will this product work?
• Is the quality good?
• What happens if I dislike it?

This becomes especially important for landing pages and paid acquisition.

Because traffic arriving through Facebook ads or Google Ads typically has higher expectations. Weak product confidence quietly reduces conversion rate and basket size.

2.3 Your Website Experience Creates Hidden Buying Friction

Many ecommerce websites unintentionally reduce AOV through poor customer experience. This matters more than businesses realise.

Because customers rarely spend more when buying feels:

difficult

or

uncertain.

Common issues include:

• Slow loading pages
• Poor mobile UX
• Weak navigation
• Poor website interactions
• Weak landing Page Optimisation

Technical friction often creates hidden hesitation.

Examples include:

JavaScript CLS or LCP Image processing which quietly reduce website performance.

Businesses should regularly review:

• Site speed fixes
• UX improvements
• Mobile experience
• Quality Assurance reviews

because stronger buying experiences often improve customer behavior

and basket size.

2.4 Your Upsells Feel Forced Instead of Helpful

One of the biggest mistakes ecommerce brands make is:

bad upselling

Customers do not dislike upsells.

They dislike:

irrelevant upsells

Weak upsells often feel:

• Random
• Aggressive
• Sales-focused

Strong upsells feel:

helpful

For example:

Instead of:

“Add random product”

Stronger ecommerce brands use:

“Complete your routine”

or:

“Frequently bought together”

This improves customer experience because customers feel guided rather than sold to. This is where psychological trigger mapping becomes commercially valuable.

The strongest ecommerce businesses understand:

shoppers buy convenience.

Not complexity.

2.5 Your Website Has Traffic But Weak Basket-Building Strategy

Many businesses generate strong website visitors through:

• SEO
• Google Ads
• Facebook ads
• Landing pages

Yet customers still spend less. This often happens because websites lack basket-building psychology

For example:

Customers are rarely encouraged through:

• Spend thresholds
• Bundles
• Smart product discovery
• Relevant recommendations

This weakens Funnel performance

because customers complete purchases:

without exploring further.

The strongest ecommerce brands optimise customer journey

rather than just traffic.

2.6 You Are Measuring Traffic Instead of Buying Behaviour

Many ecommerce businesses monitor:

• Ad spend
• Website visitors
• Cost per click
• Conversion rate

Yet fail to analyse:

why customers are buying less

The strongest brands increasingly rely on:

• Google Analytics
• Adobe Analytics
• Session recordings
• Session replay
• Session replay review
• Heat maps
• Heat mapping
• Funnel exploration reports
• User interviews
• Behavioral analysis framework

to understand:

where spending behaviour breaks down

For example:

A business may assume:

customers dislike pricing.

When behavioural analysis reveals:

visitors never discover product bundles.

Or:

customers hesitate during checkout.

This is where customer journey tracking becomes commercially valuable.

Because traffic without behavioural understanding creates:

poor decisions.

2.7 Why Low AOV Quietly Becomes a Bigger Problem Over Time

Low Average Order Value rarely stays isolated.

Over time, it weakens:

• Profitability
• Customer retention
• Return on ad spend
• Funnel performance

This becomes especially problematic when Customer Acquisition Costs

continue increasing.

Because growth becomes dependent on:

more traffic

instead of:

better purchase behaviour.

This is why stronger ecommerce businesses increasingly use:

• A/B testing
• Multivariate Testing
• Strategic experimentation systems
• Testing velocity

to improve:

basket size before acquisition scale.

Because:

the fastest path to revenue growth is often improving how much customers spend

before increasing traffic again.

4.1 Build Smarter Product Bundles

One of the strongest ways to improve AOV is Product bundling

Yet many businesses either:

ignore bundles

or:

build poor ones.

Weak bundles feel random.

Strong bundles feel:

helpful

For example:

Instead of:

cleanser only

A skincare business may create Complete Skincare Routine

Including:

• Cleanser
• Serum
• Moisturiser
• SPF

Similarly Fashion businesses may create Complete Outfit Bundles instead of promoting:

one item only.

The strongest ecommerce brands understand:

shoppers buy outcomes.

Not products.

This improves customer behavior because buying feels simpler.

4.2 Use Threshold-Based Incentives Instead of Discounts

Many businesses immediately offer:

10% off

The issue?

Discounting often lowers profitability. A stronger strategy often involves spend thresholds

Examples:

• Free shipping above $120
• Free product above $150
• Bonus reward unlocked at $100

This works because of: conversion psychology

Customers psychologically justify:

adding one more product

to avoid “missing out.”

This subtly improves Average Order Value without reducing margins significantly. The strongest ecommerce brands make thresholds visible through:

• Better calls to action
• Sticky carts
• Cart messaging

because:

visibility influences buying behaviour.

4.3 Improve Product Detail Pages Before Increasing Traffic

Many businesses try increasing AOV before fixing weak product detail pages

That usually becomes expensive. Because more traffic simply exposes the same friction. Strong product pages reduce uncertainty quickly.

• 4.3.1 Customers increasingly expect:

  • Better product description quality
  • FAQs
  • Trust signals
  • Social proof
  • Product education

  Weak product pages often create hesitation.

  Customers buy:

  only the minimum-risk item

  instead of exploring further.

  This becomes especially important for landing pages and paid acquisition. Because customers arriving through. Facebook ads or Google Ads typically have higher expectations. Weak purchase confidence quietly reduces conversion rate and basket size.

4.4 Improve Cross-Sells and Upsells

Many ecommerce stores misunderstand upselling the problem is not upselling itself.

The problem is:

irrelevant recommendations

Weak upsells feel:

• Random
• Forced
• Aggressive

Strong upsells feel:

contextually helpful

For example:

Instead of:

“Add random product”

Stronger businesses recommend Frequently Bought Together or Complete Your Routine. This improves customer experience because customers feel supported.

Not sold to.

This is where psychological trigger mapping becomes valuable.

Because shoppers often spend more when websites reduce:

decision-making effort.

4.5 Optimise the Checkout Process

Many ecommerce businesses overlook checkout process optimisation

This becomes expensive.

Because customers frequently hesitate:

late in the purchase process.

Common friction includes:

• Hidden shipping fees
• Weak payment flexibility
• Poor mobile UX
• Unclear delivery expectations

This often increases cart abandonment especially on mobile. For ecommerce brands Shop Pay often improves trust and speed.

Customers increasingly expect:

low-friction checkout experiences.

Small improvements here often positively influence Average Order Value because customers feel safer adding more products.

4.6 Improve Website Performance and Mobile Experience

Many ecommerce websites unintentionally reduce AOV through poor website performance Especially on mobile devices

Common issues include:

• Slow loading pages
• Weak UX
• Poor website interactions
• Weak navigation

Technical friction such as JavaScript CLS and LCP Image processing often quietly damages customer experience.

Businesses should regularly review:

• Site speed fixes
• Quality Assurance
• Web performance
• UX improvements

because customers rarely browse further when websites feel:

slow

or

frustrating.

4.7 Use Data Before Making Assumptions

One of the biggest ecommerce mistakes is:

guessing why AOV is low

The strongest ecommerce businesses increasingly rely on:

• Google Analytics
• Adobe Analytics
• Analytics Configuration
• Ecommerce events tracking
• Session recordings
• Session replay review
• Heat maps
• Funnel exploration reports
• User interviews

to understand:

why customers are spending less

For example:

A business may assume:

pricing is the issue.

When analysis reveals:

visitors never discover product bundles.

Or:

users abandon during checkout.

This is where customer journey tracking and behavioral analysis framework become commercially valuable.

Because stronger AOV improvements usually come from:

better understanding customer behaviour

before increasing acquisition.

4.8 Why Low Average Order Value Becomes a Bigger Growth Problem

Low Average Order Value rarely stays isolated.

Over time, it weakens:

• Profitability
• Customer retention
• Return on marketing spend
• Funnel performance

This becomes particularly expensive as:

Customer Acquisition Costs

continue rising.

Because businesses become dependent on:

more traffic

instead of:

better purchase behaviour

The strongest ecommerce brands increasingly prioritise Conversion Rate Optimisation through:

• A/B testing
• Multivariate Testing
• Strategic experimentation systems
• Testing velocity
• UX improvements

before increasing acquisition.

Because:

traffic growth without basket growth eventually becomes expensive.