Outcome Solution

Build a media business on top of commerce behavior and owned inventory.

Retail media becomes strategically valuable when commerce signals, audience logic, inventory, campaign execution, and reporting work together.

For Retail Media, Commercial, and Monetization leaders
See the Platform

Direct answer

For retail media revenue, Binoban connects commerce signals, audience logic, owned inventory, campaign execution, and reporting into one system — so retailers and marketplaces can run sponsored products and placements as a measurable first-party media business.

Why most programs plateau

The problem, and why now.

The reality

Retail Media Revenue

Treating ads as a disconnected side business caps the ceiling. Binoban connects commerce signals, audience logic, inventory, campaign execution, and reporting so retailers and marketplaces can create sponsor-funded growth on top of first-party data.

Why now

The timing

Brand budgets are moving into retail media faster than most retailers can operationalize. The infrastructure to target, deliver, measure, and settle is what separates a durable media business from one-off placements.

What Binoban enables

What Binoban makes possible here.

Sponsored products and placements.
Search and category inventory.
Brand-facing campaign reports.
Audience targeting based on first-party behavior.
Managed-service or self-serve evolution path.
Modules involved
Identity ResolutionSegmentationRetail MediaAdExchangeAnalytics

Explore these on the Platform overview.

Data inputs

What the solution runs on.

Commerce signals

Search, product-view, cart, and purchase behavior.

Catalog

Product, category, price, stock, and eligibility data.

Audiences

Consented first-party audiences for targeting.

Inventory

Sponsored placements across owned surfaces.

Advertiser data

Campaign objectives, budgets, and creatives.

Performance

Exposure, click, conversion, and ROAS signals.

How it works

From signals to measured outcomes.

1

Connect

Unify commerce signals, catalog, and audiences into the media layer.

2

Target

Build first-party audiences and match them to inventory.

3

Deliver

Run sponsored products and placements across owned surfaces.

4

Measure & settle

Report ROAS to advertisers and reconcile spend and revenue.

Start focused. Expand modularly.

Begin with one high-value use case.

Start with

First pilot

Start with sponsored products on one surface, with a small set of advertisers and clear reporting.

Expand into

Broader infrastructure

Expand into search, category inventory, self-serve advertiser tools, and settlement as demand grows.

Success metrics

How success is measured.

Media revenue

Advertiser spend on first-party inventory.

ROAS delivered

Return advertisers see on campaigns.

Fill & demand

Inventory fill and returning advertiser spend.

Audience addressability

Consented audience available for targeting.

Targets are set per engagement against your baseline and holdouts. Binoban does not publish guaranteed performance figures.

Deployment & considerations

How it deploys, and what to watch.

Deployment

Control boundary

Runs in your environment or as a powered-by/white-label media product so inventory, audiences, and advertiser relationships stay yours. See Deployment and Trust & Security.

What to watch

Prerequisites & risks

Catalog quality, audience addressability, and measurement credibility determine advertiser trust. We baseline these in the pilot so spend scales on evidence, not promises.

Common questions

Answers for evaluators.

What does a retail media platform need beyond ad slots?

It needs first-party audiences, catalog data, delivery, measurement, and settlement working together — placements alone do not make a durable media business.

Can we start managed and move to self-serve?

Yes. Many programs begin managed-service and evolve to self-serve advertiser tools as demand and operations mature.

How is advertiser performance proven?

Through exposure, conversion, and ROAS reporting tied to first-party behavior, with settlement that reconciles spend and revenue.

Bring this problem. We'll bring the architecture.

Tell us your data environment, scale, and the outcome you need. We'll map the solution path and deployment model that fit.

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