Ecommerce pricing strategy that lifts AOV without killing margin
Jan 15, 2025
Recent Posts
Ecommerce Pricing Strategy to Lift AOV, Protect Margin
Jan 15, 2025
DTC Pricing & Bundling: Frameworks to Lift AOV and LTV
Jun 5, 2022
Zero-Party Data Playbook: Quizzes, Segmentation, LTV
Aug 31, 2022
DTC Growth Case Study: $50k to $500k MRR Playbook
Aug 25, 2022
Ecommerce Recession Playbook: Forecasting, Cash & Pricing
Mar 28, 2021
Rising ad costs and softening consumer demand have pushed founders to ask a sharper question: how do you grow average order value without slicing away the very profit that keeps the lights on? The answer starts with pricing built for contribution margin, not vanity revenue, and it gets powerful when you combine the right offers with proven behavioral science.
As a reference point, the global ecommerce average order value hovered around 144 dollars in late 2024, according to Oberlo’s continually updated tracker of checkout data, which noted an 8.7 percent annual increase at that time (that figure reflects 114.25 pounds converted to approximately 144.52 dollars) Average Order Value in Ecommerce. Yet many shoppers still balk at paying shipping. The Baymard Institute’s 2025 list of checkout research shows extra costs like shipping, taxes, and fees remain the number one reason for cart abandonment, cited by 39 percent of respondents 50 Cart Abandonment Rate Statistics. In other words, you can nudge orders up, but the offer design and how you present it matter as much as the price itself.
Below is a practical playbook for ecommerce teams who want to raise AOV with product bundles, tiered discounts, and psychological pricing that is supported by credible evidence, while preserving margin discipline.
Start margin-first, then layer strategy
Before crafting tiers or bundles, anchor yourself to contribution margin. If you discount 10 percent off a product with a 40 percent gross margin, your new per-order margin percentage becomes (0.4 minus 0.1) divided by (1 minus 0.1), which equals 33.3 percent. To break even on total gross profit dollars, you would need roughly 33 percent more units at that lower price. This is simple contribution math that you can plug into any spreadsheet. Getting comfortable with this framing prevents accidental giveaways that look great on AOV but quietly destroy profitability.
Small discounts that are precise can pull their weight without heavy margin damage. Research published by Harvard Business Review found that describing a low discount with a precise figure, such as 6.8 percent rather than a rounded 7 percent, increased purchase intentions by 13 to 21 percent across nine studies, and worked best for relatively small discounts that are gentler on profit Research: Smaller, More Precise Discounts Could Increase Your Sales.
Two more guardrails keep your plan resilient:
Tie shipping offers and threshold discounts to contribution margin per order, not revenue. If your blended shipping cost on orders between 50 and 75 dollars is 7 dollars, a threshold at 65 dollars with a small precise discount may pencil out better than a blanket free shipping policy.
Favor value adds that cost you little but are perceived as high value. Think a free digital guide, a sample-size add-on, or early access. These deliver the feeling of a deal with lower variable cost impact than a straight price cut.
Use bundles to create value without racing to the bottom
Bundling is not just a merchandising trick. It increases perceived completeness and reduces shopper effort, which reliably boosts order size. Academic work has long documented the strategic power of bundling across industries, including a foundational synthesis by Stremersch and Tellis on how product and price bundles can reshape choice and value capture Strategic Bundling of Products and Prices. More recently, Harvard Business Review underscored how bundled pricing can add convenience for customers while opening upsell paths for businesses It’s Time to Try Bundled Pricing.
The margin-smart play is to pair a hero SKU with high-margin complements and give shoppers a modest, clear, and truthful saving against the sum of parts. When you do, position and present it for how people actually decide.
Make mixed bundles the default. Most customers still want freedom to buy items a la carte. Mixed bundling lets you capture those who value the curated set, while not alienating those who prefer single items.
Use good, better, best with a subtle decoy. The classic decoy effect shows that introducing a dominated option can increase preference for the target option that dominates it. The original Journal of Consumer Research paper by Huber, Payne, and Puto demonstrated that an asymmetrically dominated “decoy” alternative raised choice share for the dominating product across categories Adding Asymmetrically Dominated Alternatives. In practice, a three-tier bundle menu where the mid-tier looks superior to a similarly priced but slightly worse decoy can steer uptake toward the profitable middle.
Anchor against a truthful compare-at price. Anchors shape judgments. A recent experiment in Frontiers in Psychology confirmed that anchor values bias consumer price judgments in real shopping-like experiences, and even internal anchors influence willingness to pay when external anchors are absent Anchoring Effect of Consumers’ Price Judgment. Show the sum of parts as a reference and the bundle price next to it, along with what the customer gains, not just what they save.
On execution, your tech stack may already support it. Shopify’s own guide explains that bundles are one of the most reliable AOV levers and even points to a free app for building them from your admin Average Order Value guide. If you are setting up or migrating, you can start with Shopify quickly using this Shopify sign up and layer in bundles, upsells, and precise discount rules without heavy development.
Design tiered discounts that reward bigger baskets without margin leaks
“Buy more, save more” works because it rewards what you want customers to do. The trap is setting ladders that are attractive but unprofitable. Here is a simple framework that keeps control.
Pick a modal order target, not just your mean AOV. Shopify’s AOV guide highlights why the most common order value can be a better anchor than the mean when designing thresholds, since outliers can skew averages Average Order Value guide. If most orders cluster around 38 dollars, design tiers that make 50 dollars feel within reach.
Create a 2- or 3-step ladder with small precise percentages. Think 5 percent off 2 items, 8.5 percent off 3 items, 12 percent off 4-plus items. The HBR research on precise discounts suggests smaller, non-rounded figures can lift purchase intent and let you avoid deeper cuts that pound margin Research: Smaller, More Precise Discounts.
Calculate break-even unit lift for each rung. If your pre-discount gross margin is 50 percent and the rung is 8.5 percent off, the new margin percentage is (0.50 minus 0.085) divided by (1 minus 0.085), or about 45.3 percent. To hold gross profit dollars, unit volume needs to rise by roughly 0.50 divided by 0.415, which is about 20.5 percent. This gives you a sanity check on whether the tier is realistic.
Pair with smart shipping thresholds. According to McKinsey’s 2025 consumer survey, over 95 percent of consumers prefer free shipping with standard delivery to paid expedited options, and more than 80 percent will accept 4 to 7 days to delivery when shipping is free What do US consumers want from e-commerce deliveries?. That opens the door to a free shipping threshold set a touch above your modal order to pull baskets up without paying for speed you do not need.
An example that balances psychology with arithmetic:
Baseline: modal order 38 dollars, mean AOV 46 dollars, gross margin 55 percent, average shipping cost 6.80 dollars on orders below 60 dollars.
Ladder: 5.8 percent off when spending 50 dollars, 9.6 percent off when spending 75 dollars, free standard shipping at 60 dollars.
Rationale: 5.8 percent is precise and small, likely to move hesitant shoppers; 9.6 percent is still under 10 and reserved for a significantly larger basket; the free shipping threshold sits between them to pull mid-tier shoppers upward. Your contribution math dictates the final figures.
Throughout, be transparent. Baymard’s findings that extra costs are a leading abandonment cause imply that ambiguity around shipping or fees is toxic to conversion Baymard list. If you use thresholds, surface the progress clearly in cart and mini-cart, and never surprise at checkout.
Apply psychological pricing that is actually proven
Charm endings and context effects are not folklore. They are among the best-studied pricing levers.
Use 9-endings when appropriate. Field experiments by Anderson and Simester across multiple mail-order catalogs found that 9-ending prices increased demand in all three tests, with effects around 15 percent on average and even higher for new items, and that the presence of an explicit sale cue can moderate the effect Effects of $9 Price Endings on Retail Sales. Apply 9-endings to new or unfamiliar items where shoppers have weaker internal reference prices. Avoid overusing them where “sale” signaling could clash with a premium brand.
Use anchoring with integrity. List a truthful “compare at” price near the current price or show the sum of parts near a bundle price. The anchoring literature spanning psychology and economics shows anchors pull valuations toward the reference, even when anchors are incidental Anchoring Effect research. Your job is to make the anchor accurate and credible.
Employ the decoy effect in tiered offers. As Huber, Payne, and Puto demonstrated, a dominated option can meaningfully raise preference for the target that dominates it Decoy effect study. For example, three subscription or bundle tiers where the lowest tier is clearly basic, the middle tier is strong value, and the highest tier is a little overpriced for its incremental benefit. Many shoppers will gravitate to the middle.
Favor precise small discounts for margin. The HBR work on precise discount depths is particularly helpful for AOV ladders that cannot afford 15 to 20 percent cuts HBR research.
Combine these with operational touches that increase perceived value. Framing bonuses as gifts with purchase, showing per-item price reduction on multi-packs, and highlighting the time saved by a kit can all make willingness to pay more robust without larger discounts.
Free shipping thresholds that actually increase AOV
Thresholds are an AOV staple because they convert reluctance to pay shipping into higher merchandise spend. The risk is setting the number so high it feels out of reach. Shopify’s AOV guide recommends designing thresholds around your most common order value rather than the mean, and using small levers like free gifts or precise discounts to bridge the gap Average Order Value guide.
Consumer preference data backs this up. McKinsey’s recent survey reports that more than 90 percent of US consumers are likely to abandon a purchase when shipping costs are high, 90 percent are willing to wait two to three days if it means avoiding shipping fees, and over 80 percent accept 4 to 7 days if shipping is free McKinsey delivery preferences. In practice, this means you can set a relatively attainable free shipping minimum just above the modal order, combine it with a small precise threshold discount, and let standard delivery timelines protect your costs.
When you implement, surface the threshold visibly. A cart progress meter that says “You are 12.40 dollars away from free shipping” is concrete. Keep the message persistent across product pages, mini-cart, and cart so shoppers can easily plan adds. And make sure your returns and delivery windows are clearly stated. McKinsey’s research also found consumers place high value on reliability and flexible return policies, and more than 65 percent will abandon a cart if returns are inflexible McKinsey survey.
Build-your-own bundles for higher perceived control
Pre-curated kits are efficient, but letting customers assemble their own bundle increases ownership and perceived fit. Offer a picker where buyers choose any 3 items from a set to get a precise 8.5 percent off, then show the subtotal and savings update with each add. Because you are steering choices within a set of complementary SKUs, you protect margin and inventory health while giving customers control.
This approach also creates rich data for future merchandising. Which combinations co-occur most often? Which options act as decoys that drive shoppers to a specific trio? Feed those insights back into future pre-packaged bundles or cross-sell widgets.
Place cross-sells where they add value, not friction
AOV rises when you recommend the right complements at the right time, but heavy-handed upsells can depress conversion. Borrow a page from Shopify’s guidance: make cross-sells contextually relevant and keep them low-friction, such as a simple add-on for a case or batteries on the product page, or a travel-size item on the post-purchase screen that does not disrupt the original checkout Average Order Value guide.
Post-purchase offers are especially margin-friendly, because the initial conversion is already secured. Use a one-click post-purchase offer for an accessory or sample bundle at a precise small discount. If it is accepted, you increase AOV without introducing pre-checkout cognitive load. If it is declined, nothing is lost.
Where AOV meets customer experience
Raising order value is not only about math. It is also about removing friction and signaling fairness. Baymard’s 2025 checkout research shows that long or complicated forms, forced account creation, and unclear total costs are all widespread drivers of abandonment Baymard list. Simplify the flow, show full costs early, and let guests check out. Each of these protects the conversion rate while your pricing and bundling do their job.
If your store runs on Shopify, much of this can be configured without code, from bundles to tiered discounts to post-purchase offers. If you are getting started or considering a migration, you can trial it here and build the stack with best practices from day one Get started with Shopify.
Practical tests to run in the next 30 days
Test a three-tier cart threshold. Example: free standard shipping at 60 dollars, 5.8 percent off at 50 dollars, 9.6 percent off at 75 dollars. Measure AOV, margin per order, and conversion rate.
Introduce 9-endings selectively. Apply 9-ending prices to new items and measure lift against control SKUs with round prices. The Anderson and Simester catalog experiments suggest it is especially effective for new items 9-ending study.
Launch a build-your-own bundle. Let shoppers pick any 3 within a family for a precise discount. Track the attach rate and which sets co-occur most.
Add a decoy tier to a bundle menu. Make the middle option the best value and give the highest tier a small, less compelling incremental benefit, using Huber, Payne, and Puto’s insights on asymmetric dominance Decoy effect paper.
Swap rounded discounts for precise ones on a subset of promos. Replace 10 percent off with 9.6 percent and 7 percent with 6.8 percent in two comparable campaigns. HBR’s findings indicate precise small discounts can perform better and protect margin HBR research on precise discounts.
As you test, report on three numbers together: AOV, conversion rate, and gross profit per visitor. This triad keeps you from celebrating bigger baskets that required deeper discounts and lower close rates to achieve. When done right, these strategies raise all three.
If you want more playbooks like this in your inbox each week, plus trend scans and case studies from operators, you can subscribe to the free StoreAcquire newsletter at the homepage. New readers often start on our About page to see who we are and what we cover, then confirm their subscription on the Thank You page and start applying fast wins the same day.


