Maximising Customer Lifetime Value: How JBL shifted to intent-based personalisation
Executive summary
For JBL, opted-in customers are highly valuable, since they have a 68% higher Customer Lifetime Value compared to non-opted-in customers. However, after a while the list was suffering a structural decline in click-through rates, putting these valuable segments at risk of churn. To reverse this trend, we transitioned JBL’s mass mailings to an intent-based, automated CRM strategy. By implementing a new Customer Data Platform and leveraging real-time behavioural data, we built a highly personalized, 'always-on' customer journey. This change successfully drove a massive surge in engagement, increased database activation and delivered a direct increase in average customer spend.
Results
- Increased customer lifetime value (CLV) by 68% compared to non-opted-in customers.
- +71.6% growth in enriched customer profiles
- The percentage of the database that was triggered by a campaign increased by 36.29%
Our approach
The big idea
JBL products are built to last, averaging a 3 to 5-year lifecycle per device. The primary goal was to bridge the 18 to 36-month usage gap where the risk of brand switching is highest. We needed to transform the CRM ecosystem from a source of generic noise into a high-precision engine of relevance, ensuring we deliver the right message at the exact moment it matters most.
The strategy
Our strategy centered on intent-based segmentation to power a continuous, automated communication loop. To ensure relevance without overstretching resources, we categorized customer data into three tiers of interest: Recent Interest, Recent Conversion, and Assumed Interest. Because the in-house operational team was lean, we moved away from manual management and designed an automated 'always-on' layer. We synchronized CRM and advertising into a unified multichannel strategy, dividing the customer journey into three high-impact phases: guiding product choice, turning abandoned interest into renewed interest and mastering the product. All of this with the ultimate goal of maximizing product experience and value along the full product journey.
The process
- Data Enrichment: We introduced 'Golden Questions' during high-traffic events like Black Friday to replace predictive assumptions with explicit, verified user preferences.
- Identification & Tracking: We deployed a 1st-party data pixel to reduce anonymous traffic and better link web behaviour to specific customer profiles.
- Platform integration: We implemented Simon Data (Simon AI) to consolidate fragmented data sources into a centralized environment.
- Automated Journeys: We rolled out targeted workflows based on real-time triggers, including abandoned search sequences, personalized product onboarding and predictive second-purchase incentives.
- Multichannel orchestration: We leveraged (Black Friday) advertising to funnel high-intent traffic into our automated ecosystem, ensuring a consistent cross-channel message that significantly boosted email conversion rates.
This case stands out for its end-to-end customer lifecycle approach. It uses a seamless multichannel framework that combines intent data from various sources. That is why it was awarded an EMAS Award for Email Marketing Automation Excellence in 2026.
Want to turn your customer data into a high-precision engine of relevance? Let’s talk about building an automated CRM strategy that maximizes your Customer Lifetime Value.