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Analytics & Experimentation

Every change tested, every decision measured.

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Analytics & Experimentation

Opinion starts the conversation. Evidence decides.

DIGITAL HUB leads the brand’s analytics and experimentation: reliable site, app and journey data, A/B tests on real experiences and a reading of results that turns into business decisions. On the platform side, we implement and run Adobe Analytics, Adobe Customer Journey Analytics and Adobe Target. An ongoing program, at the pace of the business, where every change goes live with a hypothesis, a metric and a readout.

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Measure

Reliable site, app and journey data, with governance.

Test

A/B and multivariate tests on real experiences.

Learn

Lift and confidence read with rigor, not guesswork.

Decide

What wins goes live; what loses becomes learning.

The new home page went live on a Monday. Nobody can say whether it sells more.

1new page 3opinions 2versions 1answer

Without shared measurement, each department reads results its own way and the decision goes back to the meeting room. Analytics & Experimentation replaces opinion with evidence: every change with a hypothesis, a test and a readout.

How it works

Measuring shows what happened. Testing shows what works.

Experimentation starts with measurement: an analytics implementation the team trusts, metrics tied to the business and the whole journey in one place. From there come hypotheses, tests on the site, in the app and across journeys and a readout of lift and confidence that turns into a decision. The winner goes live and the next hypothesis already has a starting point.

Measurement

  1. 01Collect
  2. 02Measure

Adobe AnalyticsAdobe Customer Journey Analytics

Hypothesis

  1. 03Prioritize

Adobe Journey Optimizer Experimentation Accelerator

Test

  1. 04Test
  2. 05Allocate

Adobe TargetAdobe Journey Optimizer

Readout

  1. 06Read

Adobe Analytics for TargetAdobe Customer Journey Analytics

Decision

  1. 07Decide
  2. 08Scale

Adobe TargetAdobe Journey Optimizer Experimentation Accelerator

What each test teaches becomes the next hypothesis.

In practice

Every test with a hypothesis, a readout and a decision.

  1. 1Hypotheses prioritized by expected impact.
  2. 2A/B and multivariate tests on real experiences.
  3. 3Lift and confidence read with statistical rigor.
  4. 4The winner live for all traffic.
  5. 5Learning that feeds the next hypothesis.

Adobe technology

Adobe is the platform.

Adobe Analytics measures site and app with governance; Adobe Customer Journey Analytics, built on Adobe Experience Platform, brings online and offline together in a view by person and by journey. Both are part of Adobe CX Analytics. Adobe Target runs A/B, multivariate and multi-armed bandit tests and personalizes with AI; Adobe Journey Optimizer Experimentation Accelerator brings together experiments from Adobe Target and Adobe Journey Optimizer and recommends the next tests with AI.

14+Years of enterprise operation
15+Countries with brands served

Collect · Measure

Adobe Analytics

Site and app measured.

Measure · Read

Adobe Customer Journey Analytics

The whole journey, by person.

Test · Decide

Adobe Target

A/B testing and personalization.

Prioritize

Adobe Journey Optimizer Experimentation Accelerator

Next tests with AI.

Test

Adobe Journey Optimizer

Experiments across journeys.

Read

Adobe Analytics for Target

Lift and confidence.

Measure · Read

Data Insights Agent

Natural language analysis.

Measure

Adobe Content Analytics

Performance by asset.

How we lead

From the first hypothesis to an ongoing testing program, with the same team and Arc in operations.

  1. 01

    Assessment

    Understand the business, the metrics that matter and the brand’s current measurement.

  2. 02

    Implementation

    Design and deliver measurement and the testing program, with technical integrity.

  3. 03

    Ongoing operations

    Run, test and evolve the experience, with the same team.

The same team, from the first conversation to ongoing operations.

Let’s talk about your brand’s digital experience.