How The RealReal Personalizes Luxury at Scale with Amplitude and Twilio Segment
The RealReal uses Amplitude and Twilio Segment to unify customer data and drive personalized luxury experiences across their marketplace.
1M+
SKUs managed with real-time behavioral insights
Increased GMV
through the newly released features
38M
members
is on a mission to make luxury consignment accessible and personalized for every customer. Operating at the intersection of luxury fashion and technology, they serve diverse customer segments—from vintage handbag hunters to first-time luxury buyers—across mobile apps, desktop, and physical retail locations.
We needed a solution that could handle the scale and sophistication of our business while giving our teams the agility to act on insights, not just observe them.
Doing that requires data-driven insights, but The RealReal’s data was challenging to access. Teams spent too much time navigating dashboards and waiting for data pulls rather than optimizing customer experiences. In a fast-moving industry like fashion, where last season might as well be the last century, this reactive approach limited their ability to iterate quickly and experiment with confidence.
Leveraging the integration between , The RealReal transformed from reactive reporting to proactive customer experience optimization. They now have a complete, real-time view of user behavior that unifies customer data across all platforms and empowers cross-functional teams to act with confidence.
Personalizing onboarding to improve customer conversion and engagement
To address the complexity of their diverse customer base, The RealReal needed to understand what drove successful customer journeys across different segments. Using the unified power of Amplitude and Twilio Segment, they identified specific drop-off points in their onboarding flow and discovered the key actions that predicted long-term customer value.
The biggest insight? Start with customer pain points, not the tools. We prioritized onboarding, recommendation relevance, and post-purchase experience—and used those problems to define our data needs.
With these insights, they are redesigning their consignor onboarding experience to ensure new consignors get the right education on the process and build trust. Also, removing friction in the consignment process for repeat customers will ensure they get through the funnel faster, with relevant insights based on personalized recommendations throughout both flows.
They expect to see a significant improvement in customer engagement, as new users will be guided more effectively toward discovering value in The RealReal’s platform.
Using unified data to optimize feature performance and business outcomes
As The RealReal expanded their product offerings, they needed to understand which features were truly driving engagement and business value. Their previous analytics setup made it difficult to connect specific features to customer outcomes across different touchpoints.
Teams now act on insights quickly, increasing product velocity and driving real revenue growth. Our customer experience has become smarter, faster, and more tailored to individual needs.
Using Amplitude’s event-based tracking capabilities integrated with Twilio Segment’s unified data layer, The RealReal could precisely measure how features like (personalized shopping lists) and (the ability to re-consign past purchases with a single click) impacted customer behavior across the entire platform.
The data revealed surprising insights about which features drove the most engagement, allowing them to double down on high-performing capabilities while optimizing or sunsetting others. This feature performance analysis directly contributed to increased customer engagement and measurable business growth.
Without Amplitude and Twilio Segment, The RealReal’s product teams estimate it would take data analysts at least a week to perform the feature analysis that product managers can now complete in minutes. This efficiency gain allows The RealReal to invest analytical resources in more strategic initiatives.
Learning from customer behavior data to expand personalization across channels
The RealReal’s vision extends beyond optimizing individual features to creating a seamless luxury experience informed by behavioral data across every customer touchpoint. Their unified analytics foundation enables them to understand customer preferences, whether someone is browsing on mobile, desktop, or visiting a physical retail location.
With Amplitude and Twilio Segment, we’ve not only optimized our digital journey—we’ve redefined what personalized luxury can look like.
Using behavioral segmentation, they can identify customers who prefer discovery-driven shopping experiences versus those seeking specific items, tailoring recommendations and merchandising accordingly.
They’ve also created behavioral cohorts to track “high-value flywheel customers” who demonstrated the engagement patterns most predictive of long-term loyalty. Growing this cohort has become part of their quarterly objectives, and they’ve used this segmentation to inform both product development and marketing strategies.
Amplitude’s real-time capabilities allow them to respond immediately to changing customer behaviors and market trends—critical in the fast-moving fashion industry where inventory and customer preferences shift rapidly.
Building a data-driven culture for sustainable growth
The RealReal’s transformation went beyond implementing new tools to fundamentally changing how teams make decisions. Their approach of starting small with high-impact use cases and iterating quickly created a culture where data insights drive strategy rather than simply validate intuition.
Looking ahead, they’re expanding personalization across every channel and scaling experimentation throughout the organization. Their goal is to create experiences where every customer interaction feels tailored to individual preferences, whether someone is a seasoned consignor or discovering luxury fashion for the first time.
Consistent wins from unified customer analytics
- Improved onboarding flows: Targeted nudges based on customer segment analysis to give customers the right level of education, expertise, or speed based on their needs
- Feature optimization: Direct correlation between specific features (Obsessions, Reconsign) and customer engagement metrics enabled strategic product investment decisions
- Cross-channel personalization: Unified customer data across mobile, desktop, and retail locations enables consistent, personalized experiences regardless of touchpoint
- Faster decision-making: Teams can now analyze customer behavior and implement changes in minutes rather than weeks, critical for responding to fashion industry dynamics
