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Use cases

Start with the decision your business needs to make.

Expanly gives teams one shared interface for turning the commercial questions already inside the business into live catalog priorities.

01

Grow what the business believes in

Give strategic growth priorities a usable signal before platform history catches up.

Strategic category growth

Increase the advertising priority of categories the business has chosen to grow.

Category = Outdoor jackets + margin > target + stock healthy

New collection launch

Give new products enough visibility to build evidence instead of waiting for past conversions.

Launch date < 21 days + key sizes available

Private-label growth

Bring margin structure and strategic ownership into the priority model.

Brand type = Private label + stock cover > 30 days

Underfunded revenue leaders

Find categories and brands whose commercial results are stronger than their advertising share.

Revenue share > spend share + availability healthy

02

Make inventory work harder

Use stock depth, availability and seasonality while there is still time to change the outcome.

Seasonal stock clearance

Prioritize healthy-margin stock that needs to move before demand falls.

Season ending < 45 days + stock cover high

Protect low-stock products

Stop overinvesting when availability is already limiting the customer experience.

Key sizes missing OR stock cover < 7 days

Store and online alignment

Use local or channel-specific availability to support the inventory plan.

Online stock healthy + selected store cluster overstocked

Supplier-funded campaigns

Give agreed ranges the right visibility without rebuilding the campaign structure.

Supplier campaign = Active + availability > target

03

Protect the economics of growth

Add the business data automated platforms do not have when they optimize.

Margin-aware priorities

Use contribution margin to distinguish growth that looks similar in platform reporting.

Gross margin > 45% + demand stable

Return-risk control

Avoid scaling products whose sales create disproportionate return cost.

Return rate > target → Low Priority

Promotion quality

Separate commercially useful promotions from discounts that only inflate conversion volume.

Discount < margin buffer + stock objective active

Range rationalization

Identify catalog areas consuming investment without supporting a clear business role.

Low profit + low strategic fit + repeated spend

04

Create a shared operating model

Bring leadership, ecommerce, marketing specialists and agencies into the same decision process.

Weekly priority planning

Turn the commercial meeting into live catalog direction without a separate data project.

Approve priority changes every Monday

Agency collaboration

Give specialists clearer business context while keeping campaign expertise in their hands.

Shared rule review + agency execution notes

Business impact review

Review what changed after a priority decision and decide what to keep or test next.

Before/after budget, revenue and profit by decision

AI-assisted analysis

Ask cross-source questions and prepare the next rule through a conversational interface.

Find underfunded categories and prepare a draft

Ask your data

Not sure which use case comes first?

Expanly AI can explore the connected data, identify a concrete opportunity and prepare a first rule for review.

An Expanly AI conversation that identifies three underfunded brands from synchronized commerce and advertising data, then prepares a guarded High Priority rule as a draft for approval.