We plan, run and measure cross-screen campaigns for global, national and regional advertisers — on our own household graph, not rented data.
Loyal Agency plans, runs and measures cross-screen campaigns end to end. We are not reselling someone else's audience — the household graph, the contextual engine and the inventory are ours, which is why a CTV impression and the phone in the same room can be treated as one buy and reported as one number.
Household graph coverage, privacy-safe (no PII)
Two pieces of our own technology sit under every campaign we run.
A CTV buy with free mobile companion impressions, unified to the same household and measured as one campaign.
Explore StreamConvertResidential IP-based household identity plus an AI contextual engine. The data layer every campaign above runs on.
Explore Household GraphThe same cross-screen buy, built three different ways depending on the footprint you need to cover.
Multi-market campaigns across our owned-and-operated portfolio and premium third-party supply, coordinated centrally with local creative and per-market reporting.
Full-funnel CTV and mobile across the US, built on household-level targeting rather than panel demographics, with clean-room attribution back to your own data.
DMA, city and trade-area buys for advertisers who need a radius, not a country — the same household targeting and store-visit measurement, at local scale.
Contextual and behavioural signals resolve to households in the graph — no device IDs required, so it works in the post-ATT world.
Creative serves on brand-safe connected TV inventory across news, sports, lifestyle and family programming.
The same household receives companion mobile impressions across our owned-and-operated and premium third-party apps.
Exposed households are matched back to visits, bookings or purchases in a clean room, and reported as a single cross-screen result.
Every flight is reported the same way, so the second campaign can be planned off the first.
Results are measured against a matched, unexposed control holdout built from the same household graph, so a reported lift is incremental rather than correlated.
We report the household frequency curve, find the efficient zone, and cap against it on the next flight instead of buying past the point of return.
Depending on the objective: store visits, app installs, site actions, or — with a retailer clean-room partnership — attributed revenue and ROAS.
Source: Loyal platform data. Results may vary by campaign.
Global, national or a single trade area — bring the plan and the hardest measurement problem on it.
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