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How To Increase Average Order Value

Learn average order value, why it matters, the average order value formula, and 9 proven tactics to increase it.

Written by 
Josephine Cheng

January 7, 2026

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Last updated: 2026-01-07

Takeaways

Average order value (AOV) is a measure of the average amount of money a conversion brings to the business.

A simple playbook—segmentation, merchandising, and disciplined testing—turns AOV from a vanity metric into a profit lever.

Common tactics for increasing AOV include product bundling and cross-selling, upselling, gamified tiered discounts based on cart value, loyalty rewards programs, and subscriptions.

What Is Average Order Value

Average order value is mentioned quite a bit in ecommerce analytics, so it's important to understand what it means and why it matters. AOV is the average amount customers spend per order, and it’s a foundational KPI.

What is average order value?

It’s the typical spend per transaction in a period, calculated by dividing total revenue by total orders.

By tracking spend per order, not per customer, the metric prioritizes long term customer relationships and encourages higher-ticket purchases. By tracking AOV by day, week, or month, you can spot patterns faster. You will also notice how promotions, price changes, and product mix affect order size.

Learn more in Optimizely’s glossary and finance-focused guides like CFI.

Why AOV Matters For Ecommerce Growth

Raising order value means an increase in the revenue from the current number of customers you already convert, which protects margins when acquisition costs rise.

It can unlock healthier paid acquisition, expand margin for free shipping for customers, and fund better customer service. It also exposes subtle shifts in customer behavior before your revenue line shows it, so you can better understand spending patterns and preferences.

Importantly, higher AOV often improves your LTV to CAC ratio, helping you balance growth and profitability without overspending on acquisition. Let’s face it—customer acquisition is expensive, often more than retaining and encouraging existing customers to increase their spending.

Ideally, you'd be able to increase revenue without increasing traffic, and get a better ROI on advertising and promotional campaigns.

We recommend treating AOV like any Key Performance Indicator (KPI). Watch its trends, segment it, and tie it to decisions. When you do, you will find the levers that actually move profit.

Here are a few strategic decisions relevant to AOV that all brands should pay attention to: 

  • Pricing effectiveness: Do customers accept your price points without heavy discounting?
  • Product mix performance: Which categories or bundles consistently lift order size?
  • Promotion impact: Which incentives raise order value without eroding margin?
  • Checkout experience: Does friction suppress add-ons or larger baskets?

Winning more revenue from current customers is usually cheaper than finding new ones. You already earned their trust, so the friction to add one more item is low.

Avarerage Order Value Formula And Calculation Steps

The AOV formula is simple: Total Revenue ÷ Total Orders. That’s it. The trick is measuring consistently and excluding refunds when appropriate.

You can consider using the median instead of the mean of your order values for greater accuracy, as a few very large orders can skew the mean.

1. Gather Revenue And Order Counts

Choose a period and pull net revenue, excluding refunds and canceled orders. Then count orders in the same window, not customers.

2. Divide Revenue By Orders

If you booked $31,000 from 1,000 orders, AOV is $31. Another example: $2,000,000 across 100,000 orders yields $20 AOV, per Wall Street Prep.

3. Track AOV Over Time

Monitor AOV weekly during promotions and monthly for steady trends. You’ll see seasonal swings and the impact of pricing and merchandising shifts.

Bundle builder for men's skincare by Huron created in Replo
Brands like Huron use Replo to create high-AOV pages such as this bundle builder product page.

What Is A Good AOV In Your Industry

AOV varies by category, positioning, and bundle depth, so benchmark against your own baseline first. Conversion rates also differ widely by category and often move inversely with AOV, as shown in our ecommerce conversion rate by industry analysis. In other words, the higher the AOV, the lower the conversion rate tends to be.

For example, adding a significantly higher minimum order value for free shipping can potentially increase the average order value of completed orders, but it might also discourage customers whose intended purchase falls below that threshold.

This drives down your average conversion rate.

Just focusing on maximizing conversion rates can boost the number of orders, but if the average value of those orders is low, total revenue might be less than optimal.

The key is to find a balance between AOV and conversion rate—this will get your store to maximum revenue per customer and help you identify friction points in your customer funnel.

Use category context to set realistic expectations. Then improve your internal baseline with targeted merchandising and offers. Focus on sustained, profitable lifts. Here's a few pointers for the most common product categories in ecommerce:

Beauty And Wellness

Premium SKUs and bundles push carts up. Samples tied to thresholds also move totals.

Apparel And Accessories

Seasonality and outfitting trends drive variation. Merchandising looks that complete an outfit can raise average spend.

Home Goods And Furniture

Ticket sizes run higher by nature. Financing, discounted shipping, long-term product guarantees, and swatch kits help close bigger carts.

CPG And Grocery

Basket values are lower but frequent. Use weekly or monthly subscription plans and multi-packs to compound revenue over time.

How To Increase Average Order Value: 9 Proven Strategies

You’ll lift carts fastest by aligning merchandising with customer intent, then testing ruthlessly. For a deeper breakdown of bundles, upsells, and loyalty, explore our guide to bottom-of-funnel strategies that connect AOV and LTV optimization.

  1. Upsell higher-tier products. Present premium versions where intent is highest. Try using post-purchase product upsells with one-click add-ons after payment to increase value without risking the initial conversion. Shoppers who have already bought one item are more inclined to buy more right after, as compared to a shopper has yet to buy anything.
  2. Cross-sell complementary items. Offer logical add-ons that complete the job.
  3. Bundle products at a discount. Package essentials to simplify decisions. Using a bundle builder helps shoppers focus on the overall bundle value rather than individual item costs, making them less price-sensitive.
  4. Set free-shipping or discount thresholds. Nudge baskets with attainable minimums.
  5. Offer subscription plans or rewards programs. Convert repeat needs into recurring revenue via subscriptions. Motivate repeat purchases and increased average spend though exclusive offers unlocked after a certain amount of spending.
  6. Add limited-time gifts, samples, or gamified experiences. Additional perceived value, such as gifts and interactive experiences, can make shopping for your brand more rewarding. This encourages spending.
  7. Use volume pricing or BOGO. Incentivize bulk and multi-unit buys, where tiered discounts increase with bundle size.
  8. Provide installment payments. Make bigger purchases feel manageable
  9. Deploy personalized recommendations. Suggest relevant items using prior customer behavior and shopping history.

Seasonal campaigns amplify these plays when intent spikes. Scan our roundup of Black Friday merchandising tactics to boost AOV during peak season.

Your next move is simple: pick one tactic and implement it end-to-end. The goal is measurable lift, not a feature checklist. Keep the customer experience smooth throughout.




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Segmenting AOV By Channel And Customer Type

Segmented analysis reveals where the real gains hide. With a detailed segmentation, you can spot high-intent channels, loyal cohorts, and device patterns that deserve tailored offers.

  • Acquisition channel
  • Device type
  • New versus returning status
  • Geography or region
  • Cart size tiers

New Vs Returning Customers

Returning customers usually spend more due to trust and familiarity. Treat them with tailored bundles and meaningful loyalty rewards.

Paid Ads Vs Organic Traffic

Paid cohorts may have strong intent on specific offers. Organic often needs more education but can reward with higher-margin baskets.

Desktop Vs Mobile Shoppers

Desktop users face less friction for building larger carts. Mobile needs ultra-clear bundles, fast pages, and tap-friendly add-ons.

Common Mistakes That Lower Average Order Value

You can lose cart value through avoidable friction. Tighten the basics before chasing advanced tactics.

Ignoring Product-Page Speed

Slow pages suppress conversion and reduce exposure to upsells. Prioritize performance budgets and lightweight widgets. Refer to our full guide on how to increase your landing page loading speeds for more information.

Over-Discounting Core Items

Deep discounts can influencer customer behavior to expect lower pricing. Use threshold rewards and bundles instead of blanket cuts.

Hiding Shipping Costs Until Checkout

Surprise fees, especially at the last step of purchase, can really tank intent. State thresholds clearly and earlier on the journey.

Optimize Your Average Order Value With Replo

You move faster when you can build, launch, and test pages to improve average order value without dev bottlenecks. Use Replo to spin up bundle and offer pages, then guide your plan with A/B testing principles to split test pricing and product offers according to best practices.

Elements to test include pricing ladders, subscription offers, gift thresholds, and bundle compositions. Make sure to keep one primary variable per test. and to run each test until statistical significance (at least 2 business cycles). Anything less than significant is simply an inconclusive result.

Spot winners by channel, device, and cohort. Apply high-performing variants across your pages.

To learn more, refer to our full guide on how to A/B test for both beginner and advanced users.


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Grow Your AOV With Replo Today

You don’t need a massive rebuild to raise order size. You need focused offers and clean pages that stay true to your ad messaging.

Replo helps you build high-converting landing pages and launch A/B tests without engineering overhead.

Ready to run your first AOV test on your landing pages? Get started with Replo.

FAQs About Average Order Value

Does AOV include taxes and shipping?

AOV typically includes product revenue only, excluding taxes and shipping. Some teams track both versions internally for different analyses.

How often should I track AOV?

Review monthly for trends and weekly during promos to react quickly. Consistent intervals make comparisons more reliable.

Can pushing AOV hurt customer lifetime value?

It can if tactics feel manipulative or raise friction. Focus on genuine value, clear pricing thresholds, and relevant product recommendations.

What’s the difference between AOV and ARPU?

AOV measures revenue per order, while ARPU is revenue per user across a period. Use both to connect on-site merchandising to long-term customer value.