Ingest data
Mix Modeler works with event level data, aggregate or summary marketing effort data from various walled gardens, and aggregrate or summary data from any other source, like offline advertising, internal factors or external factors.
Customers can use any kind of data that is ingested into Experience Platform as datasets and which is based on schemas using the XDM ExperienceEvent or XDM Summary Metrics as the base class.
For example:
- data collected using the Adobe Analytics source connector and transformed into datasets conforming to the default or a custom version of the Adobe Analytics schema, or alternatively,
- data collected using the Experience Platform Web SDK, Mobile SDK, or Edge Network Server API for collecting customer interactions on web, mobile, or any other type of device,
- aggregate or summary data from walled gardens (like Facebook, YouTube), traffic sources or offline advertising data,
- non-marketing aggregate or summary data containing internal or external factors that are useful for model building.
You can use any kind of mechanism, supported by Experience Platform, to ingest your experience event-level, aggregate marketing effort data, and data from other sources. Such as the Experience Platform SDKs, APIs, source connectors, and streaming and batch ingestion.
Guidelines
To ingest data into Experience Platform for use with Mix Modeler, follow these guidelines:
- There should not be any overlap in the incremental data that is added to the datasets.
- All data from a single source should be of the same granularity.
- Date and granularity are mandatory fields in the underlying schema for all aggregate data ingested as datasets
- Channel is a mandatory field in the underlying schema for all marketing effort / spend data ingested as datasets.
Examples
Find below some examples of data typically used in Mix Modeler beyond the more standard experience event data.
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---|---|---|---|---|---|---|---|---|---|---|---|---|
Geo | Date | Date Type | Channel | Campaign | Click | Earned | Engagement | Impression | Open | Owned | Sent | Spend |
AMER | 2021-10-31 | day | 12752 | 1132945 | ||||||||
AMER | 2021-10-31 | day | FB | 148844 | 42111 | |||||||
AMER | 2021-10-31 | day | YT | 2314452 | 10540 | |||||||
JPN | 2021-10-21 | day | 21089 | 3283626 | ||||||||
JPN | 2021-10-21 | day | SOCIAL | 621 | 74512 |
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---|---|---|---|---|---|
Geo | Date | Date Type | Product | Units Sold | Revenue |
EMEA | 2021-09-13 | day | Creator Economy | 603 | 36537.68 |
EMEA | 2021-09-13 | day | Metaverse | 55 | 21704.37 |
JPN | 2022-05-30 | day | Pro Imaging | 487 | 64469.60 |
JPN | 2022-05-30 | day | Document Cloud | 642 | 100509.07 |
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---|---|---|---|
Data | Date Type | Factor | Value |
2020-08-02 | week | SPX | 3325.866 |
2020-08-09 | week | SPX | 3364.158 |
2020-08-16 | week | SPX | 3385.858 |
2020-08-23 | week | SPX | 3497.965 |
To work with data in Mix Modeler, you need data collected in datasets and modeled after schemas in Experience Platform. The Mix Modeler interface provides easy access to both the Experience Platform Schemas and Datasets UI.