Customer Journey Analytics

Modernizing analytics for pet parents.

One connected view of the pet-parent journey — across ecommerce, stores, Treats Rewards, and services — so PetSmart can see not just what happened, but why.

5
Delivery phases, sequenced for fastest time-to-value
1
Unified pet-parent journey across every channel
40+
Business questions CJA can answer for PetSmart teams
Why this is uniquely PetSmart

The pet-parent journey doesn't live in one system.

As one of North America's largest pet-care ecosystems, PetSmart serves pet parents across ecommerce, stores, Treats Rewards, grooming, training, veterinary, pharmacy, boarding, and emerging retail-media initiatives.

Today those experiences are viewed through separate systems. Traditional web analytics can describe a single online session — but it can't connect digital research to a store visit, a grooming booking, or an Autoship subscription. Customer Journey Analytics stitches them into one continuous journey tied to lifetime value.

Signals viewed in isolation today

Website clickstream Mobile app Ecommerce Treats Rewards CRM POS & store BOPIS Grooming Veterinary Training Pharmacy Contact center Retail media
1
Digital research

Reviews, inventory checks

2
Loyalty engagement

Treats activity

3
Store visit

In-store purchase

4
Grooming / vet

Service adoption

5
Replenishment

Repeat buying

6
Autoship

Recurring revenue

This journey connects digital research to lifetime value — showing why unified customer journey analytics is materially more valuable than traditional web analytics for PetSmart.

How CJA drives value

Four ways CJA pays off for PetSmart.

Each theme connects digital, loyalty, and in-store behavior into a single view of the pet parent — and turns that view into decisions.

Analyze cross-channel touchpoints

  • Online-to-offline journey analysis
  • Abandoned cart & true-abandonment detection
  • BOPIS basket expansion
  • Call deflection & support triggers
  • Segment discovery & activation

Optimize experiences across devices

  • Cross-device path-to-purchase
  • Mobile app interactions & impact
  • App flow & friction-point optimization
  • App vs. web-only spend comparison

Measure marketing performance

  • Cross-channel attribution to total value
  • Outbound journey & campaign analysis
  • Content, offer & placement performance
  • Product, category & profitability insight
  • Holistic advertising / ROAS analysis

Generate RMN & vendor dashboards

  • Onsite advertising performance
  • Vendor / sponsored-placement analysis
  • Self-service reporting for vendors
  • Offsite & paid-media analysis
A phased roadmap

Sequenced for value — fewest integrations first.

Each phase adds data and unlocks new questions. Leading with Phases 1–2 requires the fewest new integrations, delivers the fastest measurable value, and builds the identity foundation the omnichannel phases depend on.

Phase 1 — Digital commerce optimization

Time to value: Fast

Improve digital conversion, marketing performance, and acquisition efficiency — the fastest path to measurable revenue.

Data sources added
  • Website clickstream
  • Mobile app analytics
  • Ecommerce transactions
  • Email · SMS · push
  • Product catalog & search
Key questions
  • Which channels drive the highest-converting visitors?
  • Where are customers abandoning checkout?
  • Which products are viewed but not purchased?
  • Which journeys lead to Autoship enrollment?
Illustrative value
Cart recovery1–2%
Cross-device conversion3–5%
Marketing ROAS2–3%
Email conversion2–3%

Phase 2 — Loyalty & customer intelligence

Time to value: Moderate

Increase retention, repeat purchases, Treats engagement, and lifetime value — while establishing the identity foundation for everything downstream.

Data sources added
  • Treats Rewards data
  • CRM / customer profiles
  • Identity stitching across channels
  • (All Phase 1 sources)
Key questions
  • Which journeys create the highest-value Treats members?
  • What behaviors predict Member → Bestie → VIPP?
  • Which first purchases generate the highest LTV?
  • How does Autoship impact retention and spend?
Illustrative value
Loyalty revenue1–2%
Repeat purchase rateImproved
Autoship adoptionRecurring ↑
CLV : CAC ratioMore efficient

Phase 3 — Omnichannel retail analytics

Time to value: Moderate–high

Connect digital engagement to store revenue and fulfillment outcomes — quantifying how much in-store business digital actually influences.

Data sources added
  • POS & store transactions
  • BOPIS transactions
  • Store inventory
  • Loyalty-linked store sales
Key questions
  • How much in-store revenue is influenced by digital?
  • What additional purchases occur during pickup?
  • Which stores generate the highest attach rates?
  • Which omnichannel customers generate the highest LTV?
Illustrative value
BOPIS attach revenueBasket ↑
Digital influenceBetter attribution
Store conversionHigher
FulfillmentLess friction

Phase 4 — Services & lifecycle growth

Time to value: High

Increase adoption of grooming, training, veterinary, boarding, and pharmacy — the higher-margin services that deepen loyalty.

Data sources added
  • Grooming & training
  • Veterinary & pharmacy
  • Contact center
  • Appointment systems
Key questions
  • Which digital experiences lead to grooming bookings?
  • Which retail customers are most likely to adopt services?
  • Which product purchases predict service adoption?
  • How can support contacts be reduced?
Illustrative value
Service booking conversionIncreased
Service attach rateCross-sell ↑
Support call reduction3–5%
Customer lifetime valueSpend ↑

Phase 5 — Retail Media Network (RMN)

Time to value: Strategic

Create a scalable advertising and supplier-insights platform — turning unified journey data into a new, high-margin revenue stream.

Data sources added
  • Retail media ad server
  • Sponsored product data
  • Vendor campaign data
  • Paid media platforms
Key questions
  • Which supplier placements drive sales?
  • Which vendors generate the highest return?
  • Which campaigns drive store and digital revenue?
  • Which audiences are most valuable to suppliers?
Illustrative value
Media revenueMonetization ↑
Vendor retentionStronger
Reporting efficiency50–75% less
Campaign ROIOptimized
Illustrative value potential

Small percentage gains, large absolute value.

At PetSmart's scale, modest improvements across the pet-parent lifecycle compound into meaningful revenue, efficiency, and lifetime-value gains.

3–5%
Cross-device conversion
Revealing the full path to purchase
2–3%
Marketing ROAS
Attribution beyond ecommerce to total value
1–2%
Cart recovery
Separating true abandonment from cross-channel completion
3–5%
Support-call deflection
Optimized reminders & logistics comms
50–75%
Lower reporting cost
Automated vendor & RMN dashboards
1–2%
Loyalty & margin lift
Targeted cross-sell across key segments

Disclaimer: ROI estimates and projections are modeled using industry averages and benchmarks. Actual results may vary based on PetSmart's implementation, data maturity, and business conditions.

Three-year value realization

How value compounds across the phases.

PhasePrimary outcomeValue type
Phase 1Digital conversion & marketing ROIRevenue growth
Phase 2Loyalty & customer lifetime valueRevenue growth
Phase 3Digital-to-store revenue visibilityRevenue + attribution
Phase 4Services growth & contact-center efficiencyRevenue + cost reduction
Phase 5Retail media monetizationNew revenue stream

Why this matters for PetSmart

Why customers purchased — or did not
What creates loyalty
What drives services adoption
What increases lifetime value
Which experiences influence store revenue
Which investments produce the greatest return

The result isn't just better reporting — it's a decisioning framework to optimize every stage of the pet-parent lifecycle, from acquisition through loyalty, services, and replenishment.

Adobe's ongoing investment in CJA

A platform that evolves with PetSmart.

As PetSmart evaluates next-generation analytics beyond Google Analytics 4, Adobe continues to invest across identity, omnichannel journey analysis, merchandising, Databricks integration, governance, and AI-powered analytics.

Identity & data trust

Dataset preview & stitching validation GA
Validate identity stitching before production for more trusted cross-channel reporting.
Data validation skill
Catch data-quality issues before they reach reporting.
AEP Data Mirror GA
Sync Experience Platform datasets with Databricks — analytics and warehouse aligned.

AI & productivity

MCP server for CJA
Let AI assistants securely query analytics in natural language.
Data storytelling
Turn Workspace projects into executive-ready presentations, faster.
AI-powered analysis & proactive insights Roadmap
Surface meaningful changes and anomalies automatically; speed root-cause analysis.

Retail & governance

Multiple dimension columns in freeform tables
Compare products, categories, campaigns, and segments side-by-side.
Sub-event segmentation Roadmap
Analyze below the event level for SKU, basket, and category precision.
AI-powered validation for migration Roadmap
Compare Adobe Analytics and CJA outputs at scale to de-risk the GA4 transition.

Roadmap disclosures are informational only, are not a guarantee of future functionality, and are subject to change. Certain capabilities may require a higher CJA edition than currently licensed — consult your Adobe representative for availability.

Let's map PetSmart's pet-parent journey together.

Start with a focused working session on Phases 1–2 — the fastest path to measurable value and the identity foundation for everything that follows.

Book a 30-minute working session