Programmatic services

Plan, run and optimise programmatic campaigns across display, video, CTV, audio and digital out-of-home.

What it is

Programmatic advertising automates the buying of digital media across channels including display, video, connected TV (CTV), audio and digital out-of-home.

But automation doesn’t remove the need for strategy. Campaign performance still depends on decisions around audiences, supply, bidding, campaign structure, creative, measurement and optimisation.

As buying platforms automate more of the day-to-day trading, getting those inputs right becomes even more important. The better the data, objectives and guardrails, the better the platform can perform.

Why it matters

Programmatic gives advertisers access to audiences and inventory across a wide range of channels, but managing that complexity well requires the right combination of technology, data and expertise.

Automation has also changed where teams can have the greatest impact. Rather than constantly adjusting bids, the focus is increasingly on giving platforms better signals, choosing quality supply, setting the right constraints and measuring whether activity is genuinely delivering value.

What Louder does

Campaign architecture and taxonomy - structure that supports reporting and optimisation rather than fighting it.
Supply path strategy - deal management, allowlists and curated supply as a standing discipline, not a one-off exercise.
Audience design - first-party activation, suppression and exclusion architecture.
Trading - in-flight optimisation with a documented rationale, so decisions can be reviewed rather than defended.
Creative operations - trafficking, versioning and dynamic creative where it earns its place.
Reporting and analysis - into BigQuery, with independent measurement and incrementality design.
Seat audits and in-housing support - assessment, remediation and transition.

Common challenges

Exclusion lists inherited and never audited. Carried from campaign to campaign for years, quietly removing inventory nobody would exclude today.
Optimisation without a hypothesis. Daily changes across several variables at once make the campaign unreadable and the learnings unrecoverable.
Learning phases reset by constant edits. Automated bidding never stabilises, and the conclusion drawn is that automation does not work.
Post-campaign analysis that only reads platform-reported metrics. The platform grades its own homework and the report reproduces the grade.