AOV 90 vs 180

Offer design changes order value.
Upsell, bundles, and value framing change what each basket is worth.
We find the biggest revenue leak in the store and show what to fix first.
See what you are losing1.5% → 3.0% = about 2x orders 3.0% → 6.0% = about 2x again

AOV 90 vs 180

Upsell, bundles, and value framing change what each basket is worth.
ROAS 3 vs 8

Better conversion and AOV often matter more than bigger spend.
Find the biggest leak. Fix that first. Then move to the next one.
Find
Start where the store is losing the most money.
Fix
Pick the first move by business impact, not by opinion.
Next
Once it lands, move to the next leak worth the team’s time.

Traffic → intent
People leave when the page does not match the click.

Discovery
If people cannot find the right product fast, they do not buy.

Product
People buy value, trust, and clarity, not raw product data.

Offer / AOV
Offer design decides order value.

Cart / checkout
Most hesitation shows up here, even if it started earlier.

Trust
Uncertainty kills conversion before price does.

Retention
The second order matters more than the first spike.

Data / decision
Without visibility, teams fix the wrong thing first.
We test what matters and scale what proves itself.
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Direct reply from us. No generic sequence.
These benchmarks show how much can disappear before the order or compound once fixed.

~70%
A large share of buying intent drops before the order happens.
Benchmark: Baymard

+35%
Checkout often shows the loss, but it rarely starts there.
Benchmark: Baymard

+60.8%
Small monthly lifts stack into a much bigger revenue change.
Scenario: 2% monthly lift for 24 months
You get diagnosis, priority, and clear calls tied to revenue. The OS shows the framework our team uses to make those calls.
Revenue-first decisions
Calls tied to conversion, AOV, and repeat revenue.
Clear work for your team
A clear order of work, not another pile of ideas.
An inspectable operating method
The OS shows the framework behind the work without turning the framework itself into the main offer.
Why this model works
Most teams do not need more ideas. They need the right fix in the right order, then a clear read on the result. We do not rebuild analytics or testing tools. We use them, and run the work through a structured framework where priority, experimentation decisions, and learning stay under control.
One leak is not the whole story
Product, offer, trust, checkout, and repeat all hit the same revenue line.
The wrong fix first still costs
Priority is part of the work, not an afterthought.
No idea lives outside the system
Ideas, findings, and intuition need structure before they become work.
Small lifts compound
Regular gains beat one-off optimisation bursts.
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