Outcomes FAQ

Outcomes is an integrated measurement feature that provides a holistic view of your campaign's performance by combining two key datasets side-by-side: Brand Lift and Sales Lift.

It allows you to track both attitudinal metrics (consumer perception and intent from surveys) and behavioral metrics (real-world transaction data from over 150 million credit card holders) simultaneously within a single study. By bridging these upper- and lower-funnel KPIs, Outcomes enables you to connect consumer attitudes directly to real-world purchase actions and prove the bottom-line revenue value of your brand media budgets.

Cint Outcomes leverages a massive scale of premium data sources:

• Sales Lift: Powered by high-quality, deterministic transaction data from over 150 million US credit card holders.

• Brand Lift: Sourced from the largest global opinions exchange to provide highly accurate, class-leading attitudinal metrics.

Yes. The platform features an intuitive interface with AI-integrated in-flight reporting and seamless data exports. These features make it easy for you to quickly uncover successful media tactics, pinpoint high-performing audience segments, and leverage key insights for campaign optimization or upselling.

Contact your Project Success Manager to enable outcomes.

Studies with Outcomes activated will be designated with a dollar sign ($) icon next to the campaign title. Placing your cursor over the icon will surface additional informational context.

Cint Outcomes leverages a massive scale of premium data sources:

• Sales Lift: Powered by high-quality, deterministic transaction data from over 150 million US credit card holders.

• Brand Lift: Sourced from the largest global opinions exchange to provide highly accurate, class-leading attitudinal metrics.

Yes. The platform features an intuitive interface with AI-integrated in-flight reporting and seamless data exports. These features make it easy for you to quickly uncover successful media tactics, pinpoint high-performing audience segments, and leverage key insights for campaign optimization or upselling.

Differences in filter availability stem from how each dataset is populated:

• Dataset Population Sizes: The Brand Lift dataset is strictly restricted to individuals who participated directly in the brand survey. In contrast, the Sales Lift dataset casts a much wider net, pulling in transactional data from cardholders within the broader Cint universe.

• Demographics vs. Media Filtering: Demographic filters (such as age or gender) are consistently stable and available across both datasets. However, media-specific filters (such as site placements or specific creatives) often show variations. If a particular creative or placement doesn’t achieve a high enough impression count or respondent threshold in one of the datasets, that filter option will be grayed out for the combined view.

The combined Outcomes tab operates on strict shared-filter logic. If an option is unique to the survey group (such as a highly customized "Target Audience" filter built off qualifying survey traits) but cannot be mapped to the cardholder universe, it will be grayed out on the combined page. Tooltips are built-in to explain exactly which dataset the filter belongs to when hovered over.

If a filter is visible but grayed out, it means there is an insufficient pool of data or respondent volume for that variable in either the Brand Lift or Sales Lift datasets. This dynamic data feature ensures you only drill down into statistically viable audience sets.

We are always looking for ways to enhance our platform capabilities.

While our current focus is on delivering robust, standardized demographic and shared media metrics to ensure maximum data reliability, our team is continuously exploring innovative updates to expand our measurement features and bring even more value to your campaign insights in the future.

The date range filter has been intentionally deprecated and removed from both the Brand Lift and Sales Lift product dashboards. The tool does not align with future time-series reporting frameworks or transactional data flows, which require starting from a fixed campaign launch date to accurately record sequential weekly transaction performance on tracking graphs.