Customer Challenge

A leading international marketplace with billions in GMV sought to enhance their user experience by better personalizing interactions to drive lifetime value (LTV). While they had identified a set of high-value actions (HVAs) that correlated with LTV growth, they faced several key challenges:

• Suboptimal Decisions: The company used Braze for in-app promotional campaigns but struggled to determine the optimal next best action for each user. A/B testing at the segment level led to increased usage, but that impact did not translate into significant LTV growth.
• Limited Personalization: The team hypothesized that different users had different preferences for different features and needed a more tailored approach to maximize engagement and conversions.
• A/B Testing Constraints: Traditional A/B testing methods made it difficult to add, modify, and remove content at scale.
• Lack of Control Over UI/UX: The company wanted greater control over how the user experience was rendered within their app, which was difficult to achieve using their existing SDK-based setup.

To address these challenges, the company partnered with Auxia to implement a modern AI-driven decision agent that could dynamically personalize each user’s journey.

Solution

The company selected Auxia’s AI platform as the optimal tool to leverage their first-party data and enhance user engagement. Auxia’s decisioning capabilities provided:

• Real-Time Data Consolidation: A no-code integration allowed for seamless processing of events, user attributes, and transaction data into a real-time feature store.
• Automated Machine Learning Models: The platform enabled the company to train and deploy multiple model architectures (e.g., reinforcement learning, causal uplift, contextual bandits) without requiring their internal teams’ direct involvement.
• Content Variation & Personalization: Using Auxia’s UI console, the company created and tested over 200 content variations—20x more than what was possible with their existing Braze campaigns.
• Multi-Objective Optimization: The platform allowed the company to optimize multiple KPIs simultaneously, dynamically adjusting weights to match evolving business needs.

Results

Within four months of implementation, the company drove:

• +84% Uplift in Cross-Category LTV: Auxia’s AI models nearly doubled the effectiveness of determining the right treatments for maximizing LTV.
• 5x Increase in CTR: Personalized distribution significantly boosted click-through rates.
• +4% Increase in Cross-Category Purchases: Dynamic personalization led to previous purchasers making more cross-category transactions, a significant focus area for the team.

Additional benefits included:

• Enhanced UI/UX Control: Greater autonomy over app elements and user experiences.
• Seamless Data Integration: Simplified data-sharing process, moving from integration to launch in under six weeks.
• Advanced Personalization Capabilities: The ability to embed dynamic variables from existing recommendation models (e.g., recommended categories) directly into treatment content.
• Low Latency: The system delivered real-time recommendations in a low-latency environment (<100ms).

By leveraging Auxia’s AI-driven decision engine, the company successfully transitioned from a campaign-centric approach to a user-centric model, driving substantial improvements in user engagement and LTV.

I’m thrilled to announce that Auxia has secured $23.5 million in Seed and Series A funding to revolutionize how businesses build and hyper-personalize their customer journeys with AI Agents. This round was led by VMG Technology Partners, with participation from over 50 industry leaders, including Google CMO Lorraine Twohill, Booking.com CMO Arjan Dijk, and former Facebook Chief Business Officer David Fischer.

Unlocking the Power of AI for Personalized Customer Journeys

Today, converting an existing customer is up to 25 times more efficient than acquiring a new one. However, most companies fail to utilize up to 68% of their first-party customer data for personalization. At Auxia, we enable B2C enterprises to maximize their data by seamlessly orchestrating intelligent, AI-powered customer journeys that dynamically deliver personalized content across all your critical touchpoints (e.g. email, app, notifications, SMS, etc).

Every company knows they need to deliver more personalized experiences, but most still rely on manual processes and rigid customer segments. We’re giving marketing teams the same AI capabilities that tech giants use—without requiring an army of data scientists and engineers to build it internally.

The $2 Trillion Market Opportunity in AI-Powered Personalization

Personalization is no longer optional—it’s a necessity for growth, and the evidence is clear. Over $2 trillion in revenue is projected to shift to businesses that adopt AI-driven personalization in the next five years. Companies that excel at personalization generate 40% more revenue from these activities than average players, with leaders growing 10 percentage points faster than laggards. Organizations that integrate AI into their marketing workflows also see 60% higher revenue growth.

Since launching in early 2024, we’ve experienced incredible adoption, with enterprise customers increasing their usage by over 35% month-over-month. Our platform now serves over 250M decisions per day, processes more than 2.6 billion daily events, and handles 6,500 queries per second at peak performance. Our customer results include:

• +84% increase in lifetime value for one of the world’s largest C2C marketplaces
• +50% boost in onboarding completion rates for a financial services institution managing over $650 billion in assets
• +40% engagement growth for a global language learning app with over 25 million monthly active users

Transforming Customer Data into Revenue with Agentic AI

Our platform takes a fundamentally different approach to marketing personalization through three key innovations. First, our cutting-edge infrastructure automatically extracts and processes hidden signals from first-party data, which most companies leave untapped. Second, our model-driven experimentation platform enables teams to test multiple self-optimizing ML models and hundreds of concurrent hypotheses simultaneously—far beyond what traditional A/B testing allows. Traditionally, this is done manually by a team of data scientists and engineers, taking upwards of 3-6 months to create a robust ML platform and feature store to support model training, serving, and inference. Finally, Auxia empowers marketing and product teams with synchronized AI agents that work together to hyper-personalize and continuously optimize every customer interaction across channels.

For marketing teams, the process is straightforward: set high-level objectives, define your guardrails, then let Auxia's AI agents handle the complexity. Our platform continuously deploys dynamic, personalized content and autonomously optimizes each customer’s experience across the web, app, email, SMS, and other channels, replacing rigid rule-based systems with model-driven decisions that adapt to each customer in real time. This automated approach eliminates the manual nature of A/B testing and campaign optimization, allowing marketers to focus on strategy while measuring the direct impact of their initiatives on revenue growth.

Investing in the Future of AI-Driven Customer Engagement

“Across VMG’s consumer ecosystem, CXOs are eagerly seeking systematic approaches to growing Customer Lifetime Value—the alternative is an expensive user re-acquisition treadmill,” said Indy Guha, General Partner at VMG Technology Partners. “And yet simple goals like getting a customer to make a second purchase are blocked by the lack of an intelligent link between first-party data and marketing execution. We’re excited to invest behind Auxia because they are practitioners attacking the biggest gap in marketing.”

With this funding, we will accelerate product innovation, expand our engineering team, and enhance our AI Decisioning Agents. We also plan to scale our sales and marketing teams to support our U.S. expansion and strengthen customer success operations.

If you’re interested in leveraging AI to deliver intelligent, adaptive, 1:1 customer journeys, visit auxia.io.