Adobe Target

Adobe Target delivers value when experimentation and personalization are driven by clear hypotheses and reliable analytics.

We help enterprise teams use Adobe Target to support confident decision-making — not just surface-level optimization.

Where Adobe Target programs lose effectiveness

Adobe Target is often introduced with the goal of increasing conversion and personalization at scale.

Over time, teams encounter challenges such as:

  • Tests launched without strong hypotheses
  • Inconsistent success metrics across experiments
  • Misalignment between Adobe Target and analytics data
  • Overuse of personalization without clear measurement
  • Operational complexity that slows down experimentation

These issues reduce confidence in results and limit organizational learning.

Our approach to Adobe Target

We approach Adobe Target as part of a broader experimentation and decisioning system.

Our work typically includes:

  • Defining clear experimentation goals and hypotheses
  • Aligning Adobe Target success metrics with analytics
  • Designing experiments that balance speed and rigor
  • Establishing governance for tests and personalization
  • Interpreting results with statistical and business context

This ensures Adobe Target supports learning and informed decision-making — not noise.

Adobe Target in a connected ecosystem

Adobe Target performs best when it is tightly aligned with analytics and customer data platforms.

We help teams integrate Adobe Target with Adobe Analytics, Customer Journey Analytics, and CDP platforms — so experimentation and personalization can be evaluated in the context of real customer behavior.

Personalization without measurement is opinion — not insight.

When to engage us

Organizations typically engage us when:

  • Experiment results are inconsistent or hard to trust
  • Target and analytics data do not align
  • Personalization exists without clear impact
  • Teams want to mature experimentation practices

Not confident in your Adobe Target results?

Request an analytics audit to review your Adobe Target experimentation setup, success metrics, and data alignment — and identify where rigor and clarity can be improved.

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