AOV-Lift — grow every basket.
Free-shipping bands, smart bundles, and post-purchase upsells — every average-order-value play, bundled into one playbook.
Build the higher-basket experience on your store
This is your cart and product page with the AOV plays live. Each highlighted block nudges one more item into the basket — without discounting the hero product.
More margin per order
Every play lifts basket size, so the gains compound on traffic you already paid for.
Bundles that make sense
Frequently-bought-together logic curates add-ons by what customers actually pair.
Incentive ladders
Shipping and gift thresholds give shoppers a clear reason to add one more item.
The experiments, in priority order
6 experiments in this playbook — here are the highest-impact tests to start with. Each is a ready-to-run recipe with a hypothesis and a target metric.
Estimated lift ranges are typical results across comparable D2C stores — your numbers depend on traffic, vertical, and baseline.
Built on patterns proven across thousands of D2C stores.
Acquiring traffic is expensive; growing each order is free margin. This playbook stacks shipping thresholds, bundles, and one-click upsells to move more units per checkout without touching your ad spend.
- A visible free-shipping gap is the single most reliable AOV lever in D2C.
- Post-purchase upsells convert because the payment friction is already cleared.
- Bundles raise units-per-order without discounting the hero product.
- Spend-tier gifts feel like a reward, not a markdown — protecting brand and margin.
Run the playbook in four steps
Browse the recipe
Skim the experiments and pick the one that maps to your biggest gap.
Read the hypothesis
Each test states the change, the audience, and the metric it moves.
Build it no-code
Recreate the variant in the CustomFit visual editor in minutes.
Launch & measure
Ship as an A/B test and watch lift against real revenue.
The free-shipping progress bar alone moved our AOV by double digits in the first week. It’s the cheapest revenue we’ve ever added.
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Understanding the AOV-Lift Playbook
The AOV-Lift Playbook is a set of experiments designed to increase the average value of every order. Because the traffic is already paid for, each extra dollar of basket size drops almost entirely to contribution margin — making AOV one of the highest-leverage numbers a D2C brand can move.
The plays fall into three families: threshold incentives (free-shipping bands and gift ladders that reward adding one more item), bundling (frequently-bought-together and quantity tiers that raise units per order), and post-purchase upsells (single, relevant offers shown once payment friction is already gone).
Each test recreates as a no-code experiment, targets the segments you choose, and measures lift against revenue per session — so you can tell a genuine AOV gain from a shift that simply cannibalizes conversion.
Will upsells hurt my conversion rate?
Post-purchase upsells appear after the order is placed, so they can’t lower checkout conversion. CustomFit measures revenue per session, not just AOV, so you’ll see if any play trades conversion for basket size.
How many experiments are in this playbook?
All 6 experiments in this playbook are detailed on this page, in priority order — start at the top and work down.
Do I need a developer to run this playbook?
No. Every experiment recreates as a no-code experience in the CustomFit visual editor; developers can use the API and SDKs when they want deeper control.
How quickly can I get started?
Most teams install CustomFit in minutes via a single script tag or the Shopify app and ship the first test in this playbook the same week.
Run the AOV-Lift Playbook on your store.
Join 2,400+ D2C brands shipping smarter experiments on CustomFit.ai — recreate any play in minutes, no code.