A follow-up on our batch segmentation investigation — and the architectural pattern that eliminates the problem at its source. In our last post, we walked through how a single newly published audience caused a large retailer’s nightly AEP batch segmentation job to run for 7.3 hours instead of 3.5. The likely culprit was a segment…
A real-world investigation into AEP batch segmentation performance, segment complexity, and the observability gap in between. Recently a client’s nightly batch job took 7.3 hours instead of 3.5. Profile count was actually down slightly from the night before. Here’s what we found. Many enterprise RT-CDP deployments that rely on scheduled audience activation depend on a…
One of the harder parts of experimentation reporting is not the decisioning itself. It is getting the decisioning data into the reporting layer in a way that survives real world complexity. A MiaProva customer recently ran into this exact issue. They had recently added a third-party content decisioning and feature flagging platform to their stack….
Adobe’s Model Context Protocol (MCP) tooling represents a meaningful shift in how practitioners can interact with Adobe Experience Cloud products, enabling them to query data, surface insights, and drive workflows through natural language and AI-native interfaces. At MiaProva, we’ve been tracking this closely, and we’re excited to share that we’ve now built native support for…
MiaProva Is Adding a Built-In, Context-Aware Prompt Library for Adobe Target, Analytics, and CJA There’s a version of Adobe tool training that most teams are living with right now: a mix of documentation tabs, YouTube tutorials, internal Confluence pages that are six months out of date, and the occasional tribal knowledge from the one person…
There’s a testing architecture pattern that gets adopted for the right reasons and kept for the wrong ones. Swimlanes are mutually exclusive traffic partitions enforced either through Adobe Target profiles or at the edge via Akamai or other platforms. They solve a real problem. But when they become the default foundation for an entire testing…
I have attended Adobe Summit for nearly 18 years, and Adobe Target has often been the product most appreciated by the practitioners in the room, even when it is not the product making the most noise in the keynotes. That is mostly fine. Target people know what they have. This year, though, the Adobe Target…
Optimization teams have never had more data, more tools, or more pressure to drive meaningful business impact. But as the ecosystem has grown more powerful, it has also grown more fragmented. Teams are now expected to connect experimentation, analytics, audience management, activation, and governance across multiple platforms — all while keeping programs scalable, observable, and…
Why Adobe should build a Profile Intelligence dashboard directly into Target, and why doing so will change how the entire industry thinks about personalization data. There is a quietly remarkable capability living inside Adobe Target that most of its users have never fully explored: the visitor profile. It persists across sessions and devices. It runs…
If you’ve spent any time in Adobe Target, you’ve probably hit the same ceiling I have: you can build great experiences with on-site behavior, a few profile attributes, and some Analytics segments… but your best customer context usually lives somewhere else. For a lot of orgs, that “somewhere else” is the data warehouse (BigQuery, Snowflake,…