Some outcomes: - We define clear, consistent KPIs that apply across all channels, ensuring we're comparing apples to apples. -Tools like Looker or Tableau help bring data into one place, making comparisons seamless. -Monthly audits help us catch misaligned tracking or gaps in attribution early.

To ensure cohesive analysis across marketing channels, I would standardize key performance indicators (KPIs) and tracking methodologies across all platforms. This includes ensuring consistent use of UTM parameters, conversion tracking, and attribution models. I’d integrate data from various channels into a central dashboard or reporting tool, enabling a unified view of performance. Regular audits of tracking setups and cross-channel comparisons will help identify and correct discrepancies. Additionally, aligning teams and stakeholders on common goals and metrics ensures that all channels are working towards the same objectives and that insights are actionable across teams.

Data discrepancies across marketing channels can disrupt analysis, but cohesive strategies can restore accuracy: 1. Set a unified baseline: Align all channels with consistent KPIs to ensure comparable measurement. 2. Leverage integrated tools: Use platforms that centralize data and allow cross-channel comparisons. 3. Conduct regular audits: Schedule frequent checks to identify, understand, and address inconsistencies promptly. 4. Standardize data inputs: Ensure uniform data entry protocols across teams and platforms. 5. Train your team: Educate stakeholders on maintaining data integrity and the importance of consistency. Streamlined processes and vigilant monitoring are key to actionable, cohesive insights.

To address data discrepancies across marketing channels and ensure cohesive analysis, establish a unified framework by integrating all data sources into a centralized analytics platform or data warehouse. Standardize data collection methods, metrics, and definitions to eliminate inconsistencies at the source. Regularly audit and clean the data to identify and resolve anomalies, leveraging automated tools where possible. Foster cross-team collaboration to align on goals and interpretation of the data. Finally, create clear, consistent reporting dashboards that provide a single source of truth, ensuring insights are actionable and decisions are based on reliable, unified information.

▪ Data Quality Check: Identify and fix errors. ▪ Data Source Validation: Cross-reference and reconcile. ▪ Time Zone & Currency Adjustments: Ensure consistency. ▪ Data Granularity: Match data levels. ▪ Data Privacy & Security: Protect sensitive information. ▪ Continuous Monitoring: Regular checks for data quality.