Consolidating measurement and attribution tools is now a strategic imperative for marketing and data teams. Whether you currently use Matomo, Piano Analytics, Google Analytics 4, Piwik, or others, migrating to the Eulerian Marketing Platform allows you to centralize all your data in a unified environment designed to meet the growing demands for accuracy, compliance, and cross-channel insights. Eulerian stands out for its cookieless, first-party approach, its ability to reconcile user journeys across all touchpoints, and its algorithmic attribution model that provides a granular understanding of each channel's contribution.
Migrating from an existing solution may seem complex, but Eulerian has structured proven methodologies to support this transition while preserving the continuity of your historical data and key performance indicators. Each source platform has its own specific characteristics. The goal of this guide is to provide you with the technical and methodological benchmarks to orchestrate a smooth migration, leveraging the strengths of your current implementation while fully utilizing Eulerian's advanced capabilities.
Once the data has been re-imported into an Eulerian target site, it is not possible to delete the data.
Once the data has been collected by the Eulerian solution, it will no longer be possible to re-import data from an external source for that period; only periods prior to the start of data collection by the Eulerian solution can be imported. This is to prevent double counting and data duplication.
Once the connector is created, you can define the data synchronization period by initiating a synchronization process on the dates you wish to specify. To ensure a relevant level of performance and access for everyone, the time range for synchronization is limited. Once activated, the connector will always attempt to synchronize the previous day's data until it is completely deactivated.
There will be discrepancies related to re-importing data from a third-party solution, simply because data models may be different, sampling may be applied in some cases via API extractions, metrics are not counted in the same way, the source solution's API may be unstable, etc.
We ensure that these are minimal and allow us to recover at least enough elements to make relevant comparisons over previous periods of time.
Depending on the source solution, certain data types will or will not be present. Only the dimensions and metrics listed for each case will be considered synchronizable; all others will not be imported.
This may be due to limitations inherent in each source solution or a lack of matching.
All reports such as page-to-page navigation, journeys, etc. will not be available because they are based on log data that is not available for re-import.
Once the Eulerian data collection is in place and data is being sent to the interface for your site, it will no longer be possible to re-import data from the source solution during that period.
Let's take an example:
Site marked as XYZ solution: January 1, 2023 → February 10, 2023
On February 11th, the site was tagged Eulerian → the data was uploaded to Eulerian
Data re-import from the XYZ solution will be possible until February 10, 2023 inclusive. Once data arrives at Eulerian, re-importing is no longer possible. Even if the tagging is still active on February 11, 12, 13, etc., data from those days cannot be re-imported because from February 11 onwards, Eulerian data is uploaded and considered the only valid data.
This will depend on several factors and cannot be considered linear; it is impacted in particular (but not limited to) by the following list of factors:
- the time range of the period to synchronize
- if there has already been an injection
- the number of unique pages
- the number of unique events
- the number of unique traffic sources, especially if there are many marketing campaigns
- the number of unique cities
To avoid setting up native Eulerian tracking across all marketing channels, we can manage the matching of an existing tracking taxonomy for multiple platforms. This allows for increased efficiency during the setup in order to limit the operational impact on the teams; however, it will be necessary to ensure that the level of detail thus obtained allows for the achievement of the objectives set to optimize marketing investments, associated attribution and the analytical insights thus collected.
If you wish to keep this existing taxonomy but want to make it more complex and manage specific correspondences, please contact us so we can study your request.