There are several tools on the market for working with multichannel data
Posted: Thu Jan 23, 2025 6:28 am
Google Analytics. One of the most popular tools with features for multi-channel analysis and attribution models.
Yandex.Metrica. Provides data on traffic sources and can be integrated with Yandex advertising services.
Salesforce Marketing Cloud. Suitable for large companies that need deep analysis of all channels, including offline.
Power BI: Allows you to customize complex reports and visualize data across multiple channels, making analysis easier.
multi-channel analytics
How to Avoid Mistakes When Working with Multi-Channel Analytics
Many companies make mistakes when list of poland whatsapp phone numbers implementing multichannel analytics:
Choosing the wrong attribution model: Not all models are equally effective for every campaign, so it's worth testing different options.
Lack of a single data warehouse. If data is stored in silos, it complicates analysis and reduces accuracy.
Unaccounted offline channels: It is important to consider not only online touches, but also offline interactions such as phone calls or office visits.
Changing strategy too often. Constant adjustments based on interim data can throw off the overall course. It is better to stick to the chosen model and adjust it based on significant results.
multi-channel analytics
Yandex.Metrica. Provides data on traffic sources and can be integrated with Yandex advertising services.
Salesforce Marketing Cloud. Suitable for large companies that need deep analysis of all channels, including offline.
Power BI: Allows you to customize complex reports and visualize data across multiple channels, making analysis easier.
multi-channel analytics
How to Avoid Mistakes When Working with Multi-Channel Analytics
Many companies make mistakes when list of poland whatsapp phone numbers implementing multichannel analytics:
Choosing the wrong attribution model: Not all models are equally effective for every campaign, so it's worth testing different options.
Lack of a single data warehouse. If data is stored in silos, it complicates analysis and reduces accuracy.
Unaccounted offline channels: It is important to consider not only online touches, but also offline interactions such as phone calls or office visits.
Changing strategy too often. Constant adjustments based on interim data can throw off the overall course. It is better to stick to the chosen model and adjust it based on significant results.
multi-channel analytics