Customers Adidas Playbook

Global DTC Playbook

Adidas logo

Sportswear

2024 currency-neutral revenue +12%

Adidas-style playbook: align global teams around one repeatable DTC system

Tailored for global operators where growth depends on consistent execution across multiple regions and category teams.

Playbook thesis: Scale DTC expansion through standardized storefront branches that let regional teams run local experiments fast, then promote proven winners into global templates without losing control.

Scale + Speed Snapshot

In the first 10 minutes, this route can deploy up to 440 storefronts, 528 live experiments, and 950 coordinated agent workflows.

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Strategic Tension

Keep merchandising and campaign execution consistent while scaling direct channel contribution.

Storefront Strategy

Deploy standardized test storefronts by category and region, then feed winners into a shared direct-channel operating model.

Outcome Target

Higher DTC consistency and faster release decisions across regional teams.

Commerce Blueprint at Launch Scale

Scale storefront expansion while your current store stays stable

These counts model the scaled operating plan for this playbook. Your current store remains the control point, while parallel storefront and experiment branches expand around it.

Current stores

1

Primary global store remains the stability anchor and governance baseline. This remains your protected current store control surface.

Regional Test Stores

200

Localized branches for market-level campaign, pricing, and logistics testing. CWL orchestration scales this lane to 200 live storefront branches.

Category Stores

140

Focused surfaces for footwear, apparel, and collaboration launches at scale. CWL orchestration scales this lane to 140 live storefront branches.

Lead Capture Funnels

100

Audience capture by campaign, category, and high-value engagement segment. CWL orchestration scales this lane to 100 live storefront branches.

Weekly Experiment Slots

528

Structured testing across merchandising, creative, checkout, and carrier mix. CWL orchestration scales this lane to 528 concurrent tests at launch.

Storefront Mix

Regional test stores

200

Adapt messaging and offer logic by market while preserving flagship consistency. This playbook can launch up to 200 parallel storefronts in this pattern.

Category launch stores

140

Increase control over campaign execution for major product lines and collaborations. This playbook can launch up to 140 parallel storefronts in this pattern.

Audience capture funnels

100

Convert campaign traffic into owned lifecycle channels with intent segmentation. This playbook can launch up to 100 parallel storefronts in this pattern.

90-Day Route

From baseline to repeatable growth in 90 days

We keep your current store stable while we launch focused tests, validate winners, and roll proven improvements back into revenue-critical journeys.

Now · Days 1-15 Next · Days 16-45 Then · Days 46-90

Phase 1 of 3

Days 1-15

Set global baseline and deploy multi-region test lanes with unified governance.

This phase sets the baseline so every decision is measured against revenue and customer experience outcomes.

What Success Looks Like

Eight live lanes with cross-region reporting parity above 98%.

Audit direct funnel performance across 15 regions and eight strategic categories.

Launch five localized storefronts and three category branches with shared product feeds and pricing controls.

Establish centralized KPI scorecards and governance for 96 weekly experiment slots.

On the strategy call, we map your first 90-day route and select the 3 highest-impact tests.

Experiment Lanes

Always-on tests tied to revenue outcomes

Autonomous lanes run continuously with weekly test cycles, while your team sets approvals and brand guardrails.

Lane 1 of 3

Regional message-market fit

240 launch-scale tests per quarter

Localized hero copy, offer framing, campaign sequencing, and trust cue localization (30 tests per quarter).

Why this lane matters: Improves how quickly shoppers understand value and move from landing to checkout.

Demand Capture

Turn high-intent traffic into qualified leads and trigger fast follow-up.

  • Capture 1,200,000+ annual campaign visitors into region-aware nurture tracks and owned channels.
  • Build category-intent audiences for launch retargeting and lifecycle campaigns with market-level segmentation.
  • Score lead quality by engagement depth, category interest, and purchase readiness for faster follow-up.

Why Leaders Run This

  • - Launch more growth ideas without destabilizing the current store experience.
  • - Move from assumptions to validated winners in weeks, not quarters.
  • - Scale only what proves commercial value across campaigns and segments.

Playbook Commerce Graph

Sprawled icon graph for Adidas Cross-Region Launch Standardization

This graph is fully expanded by default. Hover any node to reveal playbook-specific labeling and role clarity across stores, tests, variants, and orchestration paths.

Graph Interaction

Hover a node to expand details. Scroll horizontally to inspect the full topology.

Primary Experiment Lanes

Regional message-market fit Category conversion Operational reliability

10-Minute Kickoff

10m

From kickoff to a live multi-store graph

Storefront Capacity

440

Parallel storefront branches launched from this route

Experiment Throughput

528

Concurrent tests orchestrated inside this graph

Agent Workflows

950

Agentic tasks coordinated across this playbook

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What This Playbook Focuses On

  • - Global-to-local campaign operating framework.
  • - Category-page and conversion-path optimization by market.
  • - Unified KPI governance for faster winner promotion.

Bring your store. We run your playbook with agentic orchestration.

We launch the route, run the experiments, and move winning patterns back into your current store. Your team sets goals and guardrails while autonomous storefront agents handle execution at machine speed.

Autonomous Operating Layers

  • - Strategy layer: your team and CWL set goals, approvals, and brand guardrails.
  • - Orchestration layer: autonomous agents launch storefront branches, run experiments, and optimize routes at machine speed.
  • - Delivery layer: winning patterns are promoted into your current store with monitoring, safety checks, and rollback protection in place.
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