External Optimization

Optimize ROAS even when the conversion happens somewhere else.

When you do not control the point of sale, ordinary conversion pixel optimization breaks down. We connect external attribution with ad performance so you can still act on the levers that matter.

One optimization view

Aggregate attribution and advertising platform performance into one reliable model.
The right lever

Identify whether creatives, audiences, or placements are driving the strongest returns.
Automated and maintained

We turn the process into recurring data workflows and tools that stay reliable for you.

Optimization without a conversion pixel

Brands do not always control the final point of sale. When a conversion pixel cannot fire there, the platform cannot see the complete outcome and ROAS optimization becomes much harder.

Point of sale returns attribution data

Combine exported outcomes with advertising performance and continue into an external optimization process.

See how this works

Point of sale does not return attribution data

Use proxy outcomes and structured lift studies when direct attribution exports are not available.

See proxies & lift studies

Bring both sides together

Attribution becomes useful when it meets ad performance

Attribution exports identify outcomes. Advertising platform exports explain delivery, spend, and the items that can be changed. We aggregate both into one structure built for optimization.

Export collection: attribution and advertising performance exports are brought into one maintained workflow.
Comparable performance: spend and attributed revenue are reconciled at the level where decisions can be made.
Reliable ROAS: the combined model exposes which controllable items create the strongest return.

Separate reports describe what happened. The merged model shows where to act.

Attribution exports

Different platforms expose outcomes in different ways

The process depends on the attribution exports available in your setup.

Amazon attribution: use exported attribution reports to understand attributed outcomes across media items.
Platform exports: destinations such as Steam can provide reports containing the outcomes needed for analysis.
Platform independent design: we work with the exports each destination actually provides.

The method changes by platform. The goal stays the same: preserve a dependable path from media item to attributed outcome.

Optimization levers

Optimize at the level the channel lets you control

Once attribution and performance are joined, we identify the items with the clearest relationship to ROAS.

Creatives: especially important across social channels where messages and formats drive response.
Audiences: compare targeting groups against attributed outcomes instead of delivery metrics alone.
Placements: particularly valuable in programmatic buying where inventory quality and context vary widely.
Built to scale: we provide the data structure and tools to run this process repeatedly instead of relying on tedious manual work.

Apply more budget to the strongest items and exclude persistently weak items to improve the return of the overall mix.

Beyond platform attribution

Third party and offline outcomes belong in the same process

External optimization is not limited to attribution reports. Other aggregated sources can add the evidence needed to make a better media decision.

Post bid quality: incorporate third party viewability or verification reports when placement quality matters.
Offline sales: connect aggregated commercial outcomes when purchases do not happen in a trackable online flow.
Other business signals: include the external measures that define real success for your organization.

Our data structure supports the complete process from ingestion and reconciliation through recurring analysis and action.

Tailored automation

Your best optimization process becomes a maintained system

We are platform independent and start by understanding the exports, decisions, and constraints in your exact setup.

Process discovery: identify the most useful matching and optimization approach for each channel.
Data model automation: encode the aggregation, mapping, and calculations into a repeatable structure.
Purpose built tools: automate recurring recommendations and outputs while we maintain the underlying connections.

You keep control of the media decisions. We remove the recurring data work required to make them well.