Frequently Asked Questions

mDSP ensures user privacy through a privacy-by-design approach. It complies with SKAdNetwork (SKAN) guidelines for iOS, which limits user tracking and attribution data. Instead of relying solely on User IDs, mDSP uses behavioral data shared by users and contextual signals for optimization, ensuring privacy while still delivering effective ad targeting.

With mDSP, you can create various ad formats including native, video, banner, MRAID, and dynamic product feed ads. mDSP offers creative support through its in-house creative studio, which provides free templates, resizing services, and strategic advice to maximize ad effectiveness.

mDSP provides AI-driven audience insights, offering detailed analysis of audience segments and performance. It uses persona-based targeting and real-time data to deliver actionable insights that help optimize campaigns for better results.

mDSP integrates seamlessly with major Mobile Measurement Partners (MMPs) and provides advanced reporting capabilities through cohort analysis, real-time dashboards, and a reporting API. This integration allows for comprehensive tracking and performance analysis across all campaigns.

Setting up a user acquisition campaign on mDSP involves defining your goals and budget, after which mDSP's technology optimizes bids, creatives, and targeting strategies based on those goals. The platform supports full-funnel impact across iOS and Android ecosystems and offers real-time optimization.

mDSP handles data attribution by supporting various methods including SKAN for iOS, IDFA, and MMP-based probabilistic and deterministic attribution. This flexibility allows mDSP to accurately track and attribute conversions across different traffic types while respecting user privacy.

Yes, mDSP supports multi-channel retargeting strategies by using its advanced retargeting mechanisms, which include dynamic creative optimization, segmentation, and real-time bidding across multiple ad placements and formats. This ensures consistent re-engagement across channels.

mDSP's AI-driven optimization analyzes contextual signals and user behavior in real-time to adjust bids, targeting, and creative elements. This continuous optimization process helps to maximize return on ad spend (ROAS) and conversion rates across all campaigns.

mDSP uses a combination of control groups and test groups to measure incremental lift. Key metrics include conversion rates, ROI/ROAS, and other KPIs, with the ability to conduct A/B testing and analyze results in real-time.

mDSP ensures transparency by providing real-time access to campaign performance data through its dashboard. Clients can monitor spends, conversions, audience segments, ad placements, and creative performance, enabling full visibility into campaign effectiveness.

mDSP’s dynamic creative optimization personalizes ad content based on user behavior and context, which enhances engagement and conversion rates. It allows for automatic creation and testing of multiple ad variations, optimizing them in real-time to maximize performance.

mDSP manages and protects user data by implementing robust privacy measures, including encryption, secure data silos, and compliance with GDPR and CCPA. The platform ensures that customer data is only used for their campaigns, safeguarding it against unauthorized access.

mDSP offers extensive support and training, including dedicated account managers, custom training sessions, and ongoing strategic advice. New clients receive personalized onboarding and continuous assistance to ensure they can fully leverage the platform’s capabilities.

mDSP provides a reporting API that allows clients to integrate their existing systems with the platform, facilitating seamless data retrieval and integration for detailed performance analysis and reporting.

While specific details on customizing attribution windows aren't explicitly mentioned in the decks, mDSP generally allows for customization of attribution settings through its integration with MMPs, enabling tailored tracking and reporting.

For effective cross-device tracking, mDSP leverages its real-time audience segmentation and AI-driven insights to ensure that user behavior is consistently tracked across different devices. This involves syncing data from various touchpoints to provide a holistic view of the user journey.

mDSP ensures accurate tracking under iOS 14+ by adhering to SKAN guidelines, which limit direct user tracking but allow for probabilistic attribution and contextual optimization. This approach ensures compliance with Apple’s privacy requirements while still enabling effective campaign tracking.

Integrating third-party data sources with mDSP typically involves the use of MMPs and secure APIs to import data into the platform. mDSP supports seamless integration to enhance targeting, reporting, and overall campaign performance.

mDSP employs advanced fraud detection mechanisms that monitor traffic sources, clicks, and conversions in real-time. The platform uses AI and machine learning to identify suspicious patterns and prevent fraudulent activities from impacting campaign performance.

mDSP follows strict data retention policies that comply with GDPR and CCPA guidelines. User and campaign data are securely stored for a defined period and are used exclusively for client campaigns. Data is regularly audited and purged to ensure compliance and data integrity.

mDSP’s analytics tools, including cohort analysis and AI-driven insights, can be leveraged for predictive modeling to anticipate user behavior and optimize future campaigns. By analyzing past performance, mDSP helps clients refine their strategies for better outcomes.