To identify the root cause of data discrepancies between Google Analytics and a CRM, I would first ensure that both systems are tracking the same data points (e.g., UTM parameters, conversion events, etc.) and that they are set up consistently. Next, I’d verify the tracking codes in both systems to ensure they are implemented correctly on all relevant pages. I would also check the time zones, date ranges, and attribution models in both platforms to ensure they align. Additionally, reviewing how data is processed and reported in both tools will help pinpoint any differences or gaps in data collection.

Para identificar la causa raíz de las discrepancias entre Google Analytics y CRM, sigue estos pasos: - Auditoría de datos: verifica la precisión y completitud de los datos en ambas plataformas. - Modelos de atribución: comprueba si ambos sistemas usan el mismo modelo de atribución. - Configuraciones de seguimiento: asegúrate de que las configuraciones de cookies y sesiones sean consistentes. - Eventos y usuarios: revisa cómo cada plataforma mide eventos y usuarios. Estos pasos te ayudarán a identificar y corregir las discrepancias.

It's all about: -Ensuring all tracking codes are implemented correctly and consistently across platforms. -Confirming both systems are using the same reporting windows—this is a common oversight! -Comparing attribution models; Analytics may focus on last-click, while your CRM might credit first-touch. -Diving into touch points where gaps appear to spot missing or duplicated data.

✅Data Quality Check: Ensure both systems have accurate and complete data. ✅Data Source Validation: Verify that both systems are tracking the same data points. ✅Time Zone & Currency Consistency: Ensure data is aligned across both platforms. ✅Data Granularity: Check if data is being aggregated at the same level in both systems. ✅Data Filtering & Segmentation: Verify that filters and segments are applied consistently.

To analyze data discrepancies between Google Analytics and your CRM, start by ensuring consistent tracking parameters across both platforms. Review the configuration settings in Google Analytics, including goals and event tracking, to confirm they align with how data is recorded in your CRM. Examine the granularity of data: CRM might track interactions at a greater depth or in different time frames. Check for issues like duplicate entries or data sampling in Google Analytics. Collaborate with teams who manage both systems to trace discrepancies in user behavior, session durations, or conversion tracking. Document findings and refine your tracking strategy for future accuracy.