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Portfolio/Selected work/Levi Strauss & Co.

Experience-based case study · Levi Strauss & Co. · Aug 2020–Jun 2021

Turning customer interactions into useful analytics

Multichannel Adobe Analytics implementation paired with KPI reporting and documented Adobe Target A/B and multivariate testing activities.

Implementation tied to documentation and reporting, so test results rest on data that was validated first.

  1. 01 · Problem
  2. 02 · Responsibility
  3. 03 · Approach
  4. 04 · Validation
  5. 05 · Outcomes
  6. 06 · Limits
One measured interaction feeds reporting and experimentation after validation.SHOPPERtapMEASUREDone event, once✓ VALIDREPORTSTESTSAB
Measured once, validated, then reporting + experimentation

From measurement to experimentation

Audience definition, instrumentation, validation, and interpretation form a testing workflow.

01 · Problem

The problem

Web and mobile experiences needed consistent multichannel measurement tied to reporting questions, while the business also wanted structured experimentation. Without connecting solution design to Launch delivery and reporting, implementation details and KPI interpretation could drift apart.

02 · Responsibility

My responsibility

  • Led multichannel Adobe Analytics implementation across web and mobile, connecting solution design documentation to Launch rules, data elements, and custom code.
  • Configured extensions, custom JavaScript, environment promotion, and releases in partnership with engineering and QA.
  • Built KPI reporting and Adobe Report Builder dashboards; analyzed campaigns and customer journeys; supported data warehouse requests and analytics integrations.
  • Implemented and analyzed Adobe Target A/B and multivariate testing activities, including audience definition, profile scripting, sample-size considerations, results interpretation, and optimization recommendations.

03 · Approach

Approach & architecture

This role connected solution design, tag implementation, analytics reporting, and experimentation. The documented work covered web and mobile, with coordination across engineering and QA for configuration and release.

  1. 01 Audience
  2. 02 Instrumentation
  3. 03 Launch delivery
  4. 04 Setup validation
  5. 05 Interpretation

Scope

The consultant role led multichannel Adobe Analytics implementation across web and mobile. Solution design documentation was connected to Launch rules, data elements, and custom code. The work also included KPI reporting, Adobe Report Builder dashboards, campaign and customer-journey analysis, data warehouse requests, and analytics integrations.

Adobe Target testing is documented at Levi Strauss & Co. and is kept within this employment context. The resume describes A/B and multivariate testing activities but does not provide hypotheses, test results, sample sizes, lift, or commercial outcomes.

Approach

Implementation linked the measurement design to Adobe Launch configuration, extension setup, custom JavaScript, environment promotion, and releases coordinated with engineering and QA. This kept delivery responsibilities connected to the analytics requirements and the reporting questions being supported.

Experimentation activities included audience definition, profile scripting, sample-size considerations, interpreting results, and developing optimization recommendations. The diagram gives a conceptual sequence: define an audience, instrument the experience, validate collection, and interpret results.

KPI reporting and campaign/customer-journey analysis formed a related analytics practice. Supporting data warehouse requests and integrations is included as documented, without adding a warehouse platform or claiming a specific downstream system.

Quality & governance

Launch configuration and environment promotion were carried out with engineering and QA partners. Validation and release coordination connected implementation details to the documented solution design.

The experiment lifecycle also depends on careful audience definition, profile scripting, sample-size considerations, and results interpretation.

04 · Validation

Implementation & validation

  • Launch configuration and environment promotion coordinated with engineering and QA.
  • Experiment setup checked audience definition, profile scripting, and sample-size considerations before interpretation.
  • No test hypothesis, result, or winning variant is claimed.

05 · Outcomes

Outcomes & evidence

  • Multichannel implementation connected to solution documentation across web and mobile.
  • KPI reporting and analytics support delivered per documented scope.
  • Documented Adobe Target testing activities from audience setup through results interpretation — without asserted outcomes.

Multichannel implementation connected to solution documentation, KPI reporting and analytics support, and documented Adobe Target testing activities from audience setup through results interpretation.

06 · Limits

Limitations & boundaries

  • No hypotheses, test results, sample sizes, lift, or commercial outcomes are provided in the source resume, and none are claimed here.
  • The illustrative workflow contains no real experiment data.
Adobe AnalyticsAdobe Launch / AEP TagsAdobe TargetAdobe Report BuilderCustom JavaScriptKPI reportingCampaign analysis