CDP Case Study: Multi-Market Personalization for Sportland Brings 20% More Orders

Switching email platforms is rarely just about sending better emails. For Sportland, it was the starting point for a broader transformation in how customer data gets used across marketing.

As the leading sportswear retailer in the Baltics, Sportland required a setup that could handle multiple markets, separate store views, and siloed customer data. Rather than move to another standalone email service provider, we helped Sportland rethink the foundation.

About

Sportland is the leading sportswear retailer in the Baltics, known for its award-winning in-store experience and broad omnichannel presence. The business operates across multiple countries, with distinct store views and marketing teams in each market.

While they had already made strides in building a strong data foundation, marketing activation was still tied to costly tools, which were limited in terms of the email marketing automations Sportland wanted to implement.

Project goals

To fix fragmented customer data and disconnected marketing touchpoints, we implemented a customer data platform (CDP). The decision to move away from a standalone email marketing platform opened the door to a broader transformation in how Sportland manages and uses customer data in multiple markets with distinct store views and separate customer data handling.

A properly implemented CDP enables:

• Centralized collection of data from eCommerce, ERP, POS, email, SMS, support, and more
• A 360-degree customer view built on resolved identities and real-time data updates
• Advanced audience segmentation using predictive metrics and behavioral insights
• Multi-channel campaign delivery with unified messaging across email, ads, and website content.

Project goals for Sportland’s CDP integration included:

• Migrate the whole email marketing setup from Klaviyo to Bloomreach
• Consolidate fragmented customer data across markets into a unified CDP framework
• Implement tracking for user behavior across the whole customer journey using the Bloomreach SDK
• Integrate backend purchase and refund data via Google BigQuery
• Build robust email automation flows, improving upon and expanding what was possible in Klaviyo
• Enable A/B testing, predictive segmentation, and automated product recommendations
• Sync audiences with Meta and Google Ads for personalized paid marketing
• Establish privacy-compliant consent management
• Ensure performance is measurable through reporting dashboards in Bloomreach and Looker Studio.

Also read/watch our webinar:
How to Increase Your eCommerce Revenue 2-3x with CDPs

Approach

Sportland knew they had outgrown Klaviyo, but the alternative needed to support more than just email. We assisted in the selection process by comparing capabilities and costs across several CDP solutions. After a series of discovery sessions and technical deep-dives, Bloomreach was chosen for its ability to unify data across channels and support scalable marketing automation.

About Bloomreach

Initially focused on site search and recommendations, Bloomreach has expanded its capabilities into marketing automation and CDP solutions. Bloomreach’s Composable Personalization Cloud combines data ingestion, AI-driven segmentation, identity resolution features, and delivery through native integrations in one place, enabling the collection and unification of customer data while delivering personalized experiences and messaging to brand customers. 

CDP setup for a multi-market business

Sportland operates across multiple countries, each with its own store view and customer database. A central question was whether to consolidate all markets into one project or split them by country. While a unified project promised simplicity, overlapping data and conflicting user IDs made that approach impractical. Based on our recommendation, we implemented a market-specific structure to preserve data integrity and avoid downstream issues.

We then began tailoring the Bloomreach setup to Sportland’s data ecosystem:

• Defined tracking requirements across the entire user journey
• Implemented the Bloomreach Web SDK to capture on-site behavior
• Structured product catalog attributes and configured the data pipelines
• Integrated backend customer, order, and refund data from Google BigQuery with regular syncs into Bloomreach.

This allows us to:

• Resolve customer identities across channels for an accurate 360° profile
• Segment users using predictive metrics like LTV, churn risk, and purchase intent
• Activate those segments across email, paid media, web personalization, and customer support
• Create tailored experiences based on loyalty tiers, past behavior, and shopping patterns to deliver smarter, real-time engagement across all channels from a single platform.

Because Bloomreach pricing is tied to the volume of events processed and stored, it was essential to estimate yearly traffic and optimize tracking from the start. We disabled non-essential auto-tracked events and fine-tuned the implementation to retain key data points without overspending.

To ensure user privacy, we implemented proper consent logic for event tracking. This was integrated with existing frontend controls so that marketing data collection respects user preferences in all markets.

Campaign setup and automation

We redefined and significantly expanded email automation flows compared to their Klaviyo setup. These flows were tailored per market, taking into account local behavior and store-specific logic:

• Browse abandonment flows
• Post-purchase product recommendations
• Multi-step cart abandonment
• Welcome series variations
• Targeted outlet campaigns

PPC strategy

We connected Bloomreach to Google and Meta Ads, enabling audience syncing, including predictive segments based on AI-driven purchase likelihood and RFM models.

Product recommendations were also migrated from Clerk.io to Bloomreach, requiring extensive QA and catalog mapping to ensure consistent logic across web and backend data layers. Our internal feed management tool played a key role in syncing enriched product data with Bloomreach.

To support decision-making outside marketing teams and provide more accessible performance insights, we built reporting views in Bloomreach and Looker Studio. It enables internal stakeholders to monitor and optimize campaigns without needing to navigate the CDP backend.

Results

Within just a few months of launching the new CDP, Sportland saw improvements for email and paid media. The ability to unify backend data with behavioral signals enabled more relevant, better-timed communications, while automation and audience targeting became significantly more advanced compared to the previous setup.

Email marketing (Baltics, YoY, Apr–Oct)

• +20.6% orders
• +11.3% placed order rate
• +10.4% revenue

Paid media performance (Baltics, YoY: Apr–Oct)

• +39.1% ROAS
• +9.5% revenue
• +25.1% average order value

– all while marketing spend was reduced by 21.3%.

Project outcomes

• Market-specific CDP setup in place to reflect Sportland’s multi-store structure
• Sync between frontend and backend customer data
• Fully redesigned email automation flows
• Consolidated campaign performance reporting in Bloomreach and Looker Studio
• Seamless transition from Clerk.io to Bloomreach for product recommendations.

This was also scandiweb’s first end-to-end CDP implementation from scratch in Bloomreach, making it a pilot project internally and setting it apart from other data and analytics projects we’ve undertaken. The success of this setup, built entirely for Sportland’s data ecosystem, is something we’re especially proud of.

A CDP is a way to align your data, teams, and channels around what your customers actually need. Request a free consultation with our Analytics team, and let’s build a system that works seamlessly and delivers measurable results.

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