Advertising Cloud DSP integrations with LiveRamp and Adobe Device Co-op allow you to extend your audience to all of a person’s known devices, not just the devices your brand has tracked. The integrations also provide frequency capping and attribution measurement across all devices.
When you use a supported people-based device graph, you can:
Adobe Device Co-op:
LiveRamp device graph:
Provides a deterministic data pool, including offline customer data
Provides even coverage between cookie IDs and mobile device IDs
Includes data predominantly from the United States
Is free for frequency capping and attribution measurement
Priced at $0.35 CPM for extended impressions (impressions that are delivered solely by using the LiveRamp device graph rather than on devices found within the targeted audience segments)
The rate is reflected on your account rate card.
People-based frequency management allows you to specify frequency caps at the person level, rather than the device level, for true media exposure control.
For more information, see Campaign Settings.
Once you save a campaign, you can’t change its Cross Device Level setting.
Packages: You can optionally set additional frequency caps at the package level. DSP will respect the strictest frequency cap in the campaign hierarchy.
Placements: You can optionally set additional frequency caps at the placement level. DSP will respect the strictest frequency cap in the campaign hierarchy.
People-based targeting allows you to find customers across desktop and mobile.
For more information, see Campaign Settings.
You can include the following metrics in custom reports:
Extended Impressions: (In the Build Your Report section under Metrics > Std. Metrics) The volume of incremental impressions delivered by leveraging a device graph (and not found within the original audience segments). This metric is also used to calculate applicable fees associated with using a third-party device graph.
To determine the cost of your extended impressions during a time period, run a custom report that includes the Extended Impressions column, and then multiply the total number of extended impressions by $0.00035 ($0.35/1000 impressions).
The aggregated cost is also included in the Billable Other Net Spend column (under Metrics > Spend), although that metric also includes other campaign fees you may have added.
Device Graph: (In the Build Your Report section under Dimensions > Campaign) The selected device graph for a particular campaign, package, or placement.
Advertisers with Advertising Cloud Conversion Tracking Only
With people-based attribution, you can attribute conversions that took place on a different device than the device on which the media exposure occurred. People-based attribution measurement is available across DSP, Advertising Cloud Search, and Advertising Cloud Creative for advertisers who have implemented Advertising Cloud conversion pixels on their sites.
If you would like to activate cross-device attribution measurement, contact your Adobe account team. For Adobe Device Co-op accounts, you’ll need to provide your signed Adobe Device Co-op contract and your Experience Cloud organization ID (formerly called IMS org ID).
To see if an advertiser account is configured to use a device graph for attribution measurement:
In the main menu, click Settings > Advertiser.
Hold the cursor over the advertiser row and click Edit.
In the Integrations section of the advertiser settings, see if the Cross-Device Attribution setting is active.
For active integrations, the device graph is indicated.
When a device graph is enabled for attribution measurement, the Conversion Report includes a Cross-Device Breakout setting, which allows you to include up to three separate columns for each conversion metric, including:
<Conversion>(tp): Includes the total conversions (total people), which includes both same-device conversions and cross-device conversions (if applicable). In the report, “(tp)” is appended to the conversion metric name, rule type, and conversion types in the conversion path (for example, "Responses(le)(tl)(tp)).
<Conversion>(sd): (Optional) Includes only conversions for which only a single device was tracked in the conversion path. In the report, “(sd)” is appended to the conversion metric name, rule type, and conversion types in the conversion path (for example, "Responses(le)(tl)(sd)).
<Conversion>(xd): (Optional) Includes only conversions for which more than one device was tracked in the conversion path. In the report, “(xd)” is appended to the conversion metric name, rule type, and conversion types in the conversion path (for example, "Responses(le)(tl)(xd)).
If you sort the percentage of total conversions that are cross-device ((xd)/(tl)) from high to low, you’ll understand what is driving above-average cross-device conversions. You can use this to inform your creative or targeting strategy to match messaging and channel investment to user behavior.
Packages – See which packages drive the most total conversions, and which ones have a high percentage of cross-device conversions. This can help you understand where to focus spend.
Placements – Compare placement performance and attribution (for example, a mobile web ad may drive conversions on desktop). Without a device graph for attribution, you may miss a mobile web placement’s impact on desktop conversions, or it may be buried if the majority of your users convert on desktop and not mobile web.
Ads – Discover which ads drive higher conversions, and quantify their value and impact across both web browsers and mobile app environments.
Sites – Optimize across sites rather than manually excluding sites completely. If a website drives cross-device conversions, then you can see on which devices this behavior occurs.
Deals – Improve manual optimization by verifying which inventory deals deliver cross-device conversions, and then deciding if you should expand your targeting to include more devices and channels in those deals.