Social Media Analytics Software Resources

Yes, many brands have proprietary audience definitions that sit alongside syndicated media surveys, often shaped by internal research, CRM strategy or long-term segmentation work. Planning tools are increasingly expected to accommodate these client-defined audience structures so media decisions align with how the organisation already thinks about its consumers, not only how standard survey segments are packaged. In practice, this means being able to reflect a brand’s proprietary audience logic within the same environment used to analyse and plan against established media survey data and allowing teams to evaluate reach, channel mix and scenario outcomes using strategic segments that are specific to the brand. TelmarHelixa supports this through custom audience builds, enabling proprietary audience frameworks to be incorporated into audience insight and cross-media planning workflows across subscribed media surveys.

Audience overlap or duplication is typically estimated by modelling how reach builds across channels rather than treating each channel in isolation. Because the same individuals may be reached through multiple media environments, cross-channel planning requires an approach that can account for shared exposure and avoid overstating total audience reach. In practice, this is critical for allocating investment efficiently. Without understanding overlap, plans can concentrate spend on repeated exposure to the same people, increasing frequency rather than delivering incremental reach. Accounting for duplication helps teams reduce wasted exposure (GRPs/Impressions etc) and direct budget toward the channels that contribute net new audience reach. TelmarHelixa supports this through cross-media reach modelling that incorporates duplication and overlap across media types, allowing planners to forecast reach curves and scenario outcomes with a clearer view of how channels interact within a single workflow.

Agencies plan and forecast reach for cross-channel media planning by modelling how different channels contribute to overall audience delivery before a campaign is activated. Rather than relying on separate channel-level estimates, teams need a holistic view of how reach builds across digital and traditional media within a single plan. In practice, this involves creating planning scenarios, testing different channel mixes and using reach curves to see how incremental reach changes as investment shifts across platforms. This allows agencies to make informed decisions about where to allocate budget for maximum total reach and efficient audience growth. TelmarHelixa supports this through cross-media planning workflows that connect audience intelligence directly to reach forecasting, reach curves and scenario planning across media types, enabling planners to build and evaluate cross-channel plans quickly in one environment.