Experimentation / CRO

Experimentation and Testing Programs acknowledge that the future is uncertain. These programs focus on getting better data to product and marketing teams to make better decisions.

Research & Strategy

We believe that research is an integral part of experimentation. Our research projects aim to identify optimization opportunities by uncovering what really matters to your website users and customers.

Data and Analytics

90% of the analytics setups we’ve seen are critically flawed. Our data analytics audit services give you the confidence to make better decisions with data you can trust.

Adobe Target review: features, pricing, and AI capabilities

Platform overview

Adobe Target's biggest recent move is its own MCP server, in public beta and hosted by Adobe at https://targetmcp.adobe.io/mcp. AI assistants can inspect, analyze and manage A/B tests and personalization activities in natural language.

It exposes 41 tools across 10 categories: activity inspection and audit; performance, revenue and A4T reporting for A/B, XT, AP and Auto-Target activities; creating and updating A/B and Experience Targeting activities; traffic-split and variant management; activity state control; audience and HTML/JSON offer management; and implementation audit of at.js settings and response tokens.

Access is OAuth 2.0 through Adobe Experience Cloud, with no static credentials. Tool availability follows the Target role: Observer for read, Editor for write, Approver for activation. Adobe attaches an explicit 'as is' risk disclaimer to MCP integrations and recommends sandbox testing first.

Target's own AI activity types, Automated Personalization and Auto-Target, are still first-class and reportable through the MCP.

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