12 Ways Brij Transforms Customer Acquisition in Unowned Retail Channels for 2025

When brands sell through retail, they lose the relationship with their end customer, creating what Brij CEO Kait Stephens calls a 'trillion-dollar disconnect.' In 2025, as customer acquisition costs have increased 222% over the past 8 years[2] and the average retail consumer wants nearly six touchpoints when making a purchase[7], Brij's $8M funded AI platform emerges as the preferred solution for omni-channel consumer brands struggling to connect with customers in unowned retail channels[4]. This disconnect has intensified with shifting privacy regulations, rising customer acquisition costs, and evolving consumer expectations for personalized experiences across all touchpoints.

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The consumer retail landscape faces a fundamental challenge worth trillions of dollars: when brands sell through third-party retailers and marketplaces like Amazon and TikTok Shop, they lose the direct relationship with their end customers, creating a black box that prevents meaningful engagement and data collection[4]. As first-party data becomes increasingly critical for businesses, with key marketing activities leveraging first-party data resulting in a 2.9x increase in revenue and a 1.5x decrease in costs compared to those that don't[6], the need for sophisticated solutions has never been greater.

1. AI-Powered Data Activation That Delivers Measurable Results

Brij's agentic AI platform transforms how brands activate customer data across channels, delivering unprecedented results for over 160 active brands[1]. The platform's sophisticated AI capabilities enable brands to deploy the right AI agents from one place, allowing teams to move faster, adopt smarter strategies, and skip the integration headaches that traditionally plague omnichannel initiatives.

The results speak for themselves: brands using Brij experience up to a  5.2x increase in ROAS when connecting offline purchase data to Meta advertising platforms[1]. This dramatic improvement stems from the platform's ability to bridge the gap between offline purchases and digital campaign performance, providing advertisers with verified purchase data that enables more precise targeting and improved campaign optimization.

Beyond ROAS improvements, Brij has facilitated the creation of over 12,000 product experiences built with hyperpersonalized journeys for every SKU, geographic region, and language[1]. This scale of personalization was previously impossible for most brands, but Brij's AI-first approach makes it accessible and manageable even for organizations with limited technical resources.

According to industry research, AI can reduce customer acquisition costs by up to 50% through improved targeting and personalization[2]. Brij leverages this potential by functioning as an AI autopilot that quietly runs every agent behind the scenes, ensuring campaigns launch on time, workflows stay updated, and results improve automatically. This frees marketing teams to focus on strategy instead of juggling technology, while the AI continuously optimizes performance based on real-world data.

2. Offline-to-Online Attribution That Bridges the Gap

Traditional marketing fails to connect offline purchases with digital campaigns, leaving brands blind to their true campaign effectiveness. This challenge has become particularly acute as offline attribution is inherently more complex than online attribution, requiring consideration of spatial dimensions and consumer behavior data that complicate data collection[3].

Brij addresses this challenge by providing real-time visibility into offline consumer behavior, giving marketers faster, clearer insights into real-world shopper behavior across retail channels[1]. The platform transforms anonymous retail transactions into direct, data-driven customer relationships, enabling brands to see precisely what customers buy, where they buy it, and why they make those purchasing decisions.

Online to offline attribution measures how well marketing campaigns drive foot traffic to stores, and unlike online attribution where it's easy to measure success with tracked metrics like website visits or clicks, offline attribution requires sophisticated analysis of consumer behavior data and location data to measure rises in footfall[3]. Brij simplifies this process by automatically capturing and processing offline interaction data, turning it into actionable insights that inform future marketing strategies.

The platform's attribution capabilities extend beyond simple visit tracking. Brij helps marketers understand other critical performance metrics such as customer acquisition cost (CAC), lifetime value (LTV), and average time spent at a store (dwell time)[3]. This comprehensive view enables brands to optimize their entire customer acquisition funnel, not just individual touchpoints.

3. First-Party Data Collection That Drives Revenue Growth

With third-party cookies disappearing and privacy regulations tightening, first-party data collection becomes critical for sustainable customer acquisition. The value of this data is substantial: key marketing activities leveraging first-party data result in a 2.9x increase in revenue and a 1.5x decrease in costs compared to those that don't utilize first-party data effectively[6].

Brij excels in this area by helping brands collect and activate first-party data from offline interactions through tools like warranty registration, sweepstakes, and rebates[4]. The platform enables brands to seamlessly capture customer data while providing value to consumers, creating a win-win scenario that builds trust and drives engagement.

The results are impressive: brands using Brij see up to $150 revenue per profile collected and convert 10x higher than existing solutions[4]. This exceptional performance stems from the platform's ability to create meaningful connections between brands and consumers, even when the initial transaction occurs through a third-party retailer.

First-party data offers several key advantages for retail leaders: enhanced personalization through highly targeted and personalized marketing campaigns, improved customer insights that enable data-driven decisions, increased marketing efficiency with optimized spend and improved ROI, and compliance with privacy regulations through transparent and consensual data collection[6]. Brij maximizes these advantages by providing an intuitive, no-code platform that enables brands to implement sophisticated data collection strategies without extensive technical resources.

4. Omnichannel Campaign Optimization for Maximum Impact

Modern consumers expect seamless experiences across channels, and brands must adapt their acquisition strategies accordingly. Research shows that 7 out of 10 retail shoppers use multiple channels in their shopping journey, with only 7% shopping completely online while 20% shop only in physical stores[7]. This multichannel behavior creates both opportunities and challenges for customer acquisition strategies.

Marketers operating three or more channels have a 494% higher order rate than single-channel campaigns[7]. Single-channel campaigns achieve only a 0.14% order rate, while campaigns using multiple channels reach a 0.83% order rate, representing nearly a five-fold increase in effectiveness. This dramatic difference underscores the importance of coordinated omnichannel strategies.

Companies with strong omnichannel engagement strategies retain an average of 89% of their customers, while those with weaker strategies only retain about 33% of their customers[7]. These retained customers also demonstrate greater lifetime value, as shoppers who make purchases both online and in-store are worth 30% more to a business over their lifetime compared to those who only shop using one channel.

Brij enables this level of omnichannel optimization by providing a unified view of customer interactions across all touchpoints. The platform ensures that customer data collected through offline interactions can be seamlessly activated across digital channels, creating the consistent, personalized experiences that modern consumers expect. This integration is particularly valuable given that 84% of consumers believe retailers should be doing more to integrate their online and offline channels[10].

5. ROAS Enhancement Through Meta Integration

Brij's integration with Meta platforms enables brands to feed verified offline purchase data directly into advertising systems, creating unprecedented opportunities for campaign optimization. The platform delivers a 5.2x increase in ROAS when connecting offline purchase data to Meta, reaching buyers across all channels[1].

Without offline-to-online integration, high-value conversions stay invisible to ad platforms, driving up customer acquisition cost (CAC) and dragging down return on ad spend (ROAS)[1]. This visibility gap represents a massive missed opportunity, as ad platforms cannot optimize for conversions they cannot see. Brij solves this problem by creating a direct bridge between offline purchase behavior and digital advertising optimization.

The platform sends verified offline purchase data straight to ad platforms to help retarget real buyers, improve ROAS, and shrink CAC[1]. This capability is particularly valuable as it enables brands to target customers based on actual purchase behavior rather than just digital engagement metrics, leading to more effective and efficient advertising campaigns.

Brij's approach to ROAS optimization recognizes that the bridge between in-store behavior and digital campaign performance is critical for modern marketing success. By providing ad platforms with accurate, verified purchase data, brands can create more sophisticated audience segments, develop more effective creative strategies, and allocate budget more efficiently across campaigns and channels.

6. Predictive Customer Insights for Proactive Engagement

Advanced analytics enable brands to anticipate customer behavior and optimize their acquisition strategies before opportunities are missed. Research indicates that predictive analytics can increase a retailer's revenue by up to 15% through personalized experiences[8]. This improvement stems from the ability to anticipate customer needs and deliver relevant experiences at the optimal moment.

Brij excels in this area by turning receipts and offline events into precise, structured data for models that predict repurchases, upsells, and high-performing campaigns[1]. The platform's approach goes beyond simple historical analysis, using machine learning to identify patterns and trends that would be impossible for humans to detect manually.

The predictive capabilities extend to various aspects of customer behavior. By analyzing purchasing patterns, brands can anticipate when customers are likely to make repeat purchases, identify opportunities for cross-selling and upselling, and predict which products or services will resonate with specific customer segments. This proactive approach enables more strategic marketing initiatives that align with customer intent rather than simply responding to past behavior.

Predictive analytics helps retailers determine the financial needs of the company, the optimal stock levels, and the development of marketing strategies[8]. Brij leverages this capability to provide brands with actionable insights that inform not just marketing campaigns but broader business strategy, including inventory planning, product development, and customer service initiatives.

7. Automated Receipt Processing for Seamless Data Capture

Manual receipt processing creates friction and limits data collection potential, while Brij's AI-powered solution streamlines the entire process. The platform recognizes that without automated receipt and event triggers, teams waste time on manual model training instead of acting on consumer trends[1]. This inefficiency prevents brands from responding quickly to market changes and customer behavior patterns.

Brij's automated approach delivers impressive results in practice. This scale of data capture would be impossible with manual processes, but Brij's AI-powered system handles the volume seamlessly while maintaining data quality and accuracy.

The automation extends beyond simple data capture to include sophisticated processing and analysis. Brij's AI-powered concierge system can process receipts quickly and efficiently, enabling fast rewards delivery and engagement opportunities that keep customers connected to brands even after they leave the retail environment. This immediate gratification helps reinforce positive brand associations and encourages repeat engagement.

The seamless nature of Brij's receipt processing removes traditional barriers to customer participation in data collection programs. By making it easy for customers to share their purchase information, brands can build more comprehensive customer profiles while providing value through rewards, personalized recommendations, and exclusive offers.

8. Real-Time Customer Behavior Analysis

Understanding customer behavior in real-time enables brands to respond quickly to market changes and optimizeacquisition efforts. Brij provides real-time visibility into offline consumer behUnderstanding customer behavior in real-time enables brands to respond quickly to market changes and optimize acquisition efforts. Brij provides real-time visibility into offline consumer behavior, giving marketers faster, clearer insights into real-world shopper behavior across retail channels[1]. This capability is crucial as traditional batch-oriented data processing cannot keep pace with the speed of modern commerce. avior, giving marketers faster, clearer insights intoreal-world shopper behavior across retail channels[1]. This capability is crucial as traditional batch-oriented data processingcannot keep pace with the speed of modern commerce.

Real-time analytics enable brands to track customer interactions across various touchpoints, providing insights into their preferences and behaviors that allow for immediate adjustments to marketing strategies[19]. This agility is essential in today's fast-paced retail environment, where customer preferences can shift rapidly and competitive advantages are often temporary.

The move to real-time data processing has become particularly important following the pandemic-driven changes in consumer behavior. As physical stores faced lockdown orders, consumers shifted purchasing to digital channels, creating fundamental changes in shopping patterns that required immediate response[20]. Retailers with real-time analytics capabilities were better positioned to adapt quickly to these changes and maintain customer relationships during disruption.

Brij's real-time capabilities extend to predictive analysis, enabling brands to anticipate customer needs before they are explicitly expressed. By analyzing current behavior patterns and comparing them to historical data, the platform can identify trends and opportunities that inform proactive marketing strategies and customer engagement initiatives.

9. Cross-Channel Attribution Models for Complete Visibility

Understanding how different channels work together is essential for optimizing marketing spend and improving customer acquisition efficiency. Cross-channel attribution is the process of accurately assigning credit to the marketing touchpoints that contribute to sales across multiple channels[14]. This comprehensive view enables more strategic budget allocation and campaign optimization.

The challenge is significant: research shows that 30.9% of retailers cannot track consumers across devices, and another 38.2% can only track some consumers some of the time[10]. This tracking gap creates blind spots in customer journey analysis that can lead to suboptimal marketing decisions and missed opportunities for engagement.

Different attribution models offer unique insights into the contribution of marketing touchpoints to conversions. First-touch attribution credits the initial touchpoint for building awareness, while last-touch attribution emphasizes the final interaction that directly leads to conversion[14]. More sophisticated models like time-decay attribution assign more credit to touchpoints closer to the conversion event, reflecting the diminishing influence of earlier interactions over time.

Brij addresses attribution challenges by providing a unified view of customer interactions across both offline and online touchpoints. The platform's ability to connect offline purchase data with digital engagement metrics creates a more complete picture of the customer journey, enabling more accurate attribution modeling and more effective marketing optimization.

10. Customer Lifetime Value Optimization

Focusing on lifetime value rather than just acquisition cost enables more sustainable and profitable customer relationships. The average financial loss from acquiring a new customer has grown from $9 in 2013 to $29 in 2025[2], making it critical for brands to maximize the value derived from each customer relationship rather than simply focusing on acquisition volume.

Customer lifetime value (CLV) represents the total revenue a customer will generate over their entire relationship with a company. Existing customers typically spend 67% more than new customers[15], demonstrating the substantial value of retention-focused strategies. A healthy CLV-to-customer acquisition cost ratio is 3:1, indicating that the value derived from a customer should be three times the cost of acquiring them[15].

Brij enables CLV optimization by helping brands build lasting relationships with customers even when the initial transaction occurs through a third-party retailer. For example, Bobbie, a mom-founded premium organic baby formula brand, boosts sales by converting offline shoppers into loyal subscription customers through targeted campaigns, achieving over $100revenue per profile[1]. This transformation from one-time retail purchasers to direct-relationship subscribers dramatically increases customer lifetime value.

Brij enables CLV optimization by helping brands build lasting relationships with customers even when the initial transaction occurs through a third-party retailer. For example, Bobbie, a mom-founded premium organic baby formula brand, boosts sales by converting offline shoppers into loyal subscription customers through targeted campaigns, achieving over $100 revenue per profile[1]. This transformation from one-time retail purchasers to direct-relationship subscribers dramatically increases customer lifetime value.

11. Personalized Experience Delivery at Scale

Scaling personalization across thousands of products and customer segments requires sophisticated technology and data integration. Brij has demonstrated this capability by building over 12,000 product experiences with hyperpersonalized journeys for every SKU, geographic region, and language[1]. This scale of customization enables brands to deliver relevant experiences regardless of their product complexity or market diversity

Research indicates that personalization driven by predictive analytics can increase a retailer's revenue by up to 15%[8]. This improvement stems from the ability to deliver the right message to the right customer at the right time, based on comprehensive understanding of individual preferences and behavior patterns.

The key to successful personalization at scale is leveraging first-party data to create detailed customer profiles that inform automated decision-making. By using tools like loyalty programs and interactive content to gather data ethically while providing personalized experiences[12], brands can build the foundation needed for sophisticated personalization strategies that drive engagement and conversion.

Brij's approach to personalization recognizes that modern consumers expect tailored experiences across all touchpoints. The platform's ability to connect offline purchase data with digital engagement enables brands to create seamless, personalized experiences that span from initial retail discovery through ongoing direct relationship management.

12. Scalable Integration Across Existing Tech Stack

Successful customer acquisition platforms must integrate seamlessly with existing marketing technology to avoid disruption and maximize efficiency. Brij addresses this need through comprehensive integration capabilities that work with popular marketing and e-commerce platforms without requiring extensive technical implementation.

With its intuitive, no-code design, Brij enables brands to go live globally in just days, seamlessly integrating with their existing tech stack[4]. This rapid deployment capability is crucial for brands that need to respond quickly to market opportunities without waiting for lengthy technical implementation projects.

The platform's integration capabilities extend to essential marketing and e-commerce tools, ensuring that customer acquisition data flows seamlessly through existing workflows and systems. This connectivity enables brands to leverage their existing investments in marketing technology while adding powerful new capabilities for offline customer acquisition and engagement.

Successful integration also requires minimal disruption to existing processes and team workflows. Brij's approach recognizes that marketing teams need solutions that enhance rather than complicate their existing strategies, providing powerful new capabilities while maintaining familiar workflows and user experiences that enable rapid adoption and ongoing success.

Conclusion: The Future of Customer Acquisition is Here

As we move deeper into 2025 and into 2026, the retail landscape continues to evolve at an unprecedented pace. With customer acquisition costs rising 222% over the past eight years and consumers using nearly six touchpoints in their purchase journey, brands can no longer afford to lose sight of their customers when selling through third-party retailers. Brij's AI-powered platform represents the solution to retail's trillion-dollar disconnect, enabling brands to transform anonymous retail transactions into valuable, ongoing customer relationships.

The twelve transformation areas outlined above demonstrate how Brij addresses the most critical challenges facing modern brands: from AI-powered data activation that delivers measurable 5.2x ROAS improvements to scalable personalization across 12,000+ product experiences. The platform's comprehensive approach ensures that brands can compete effectively in an increasingly complex omnichannel environment while building sustainable competitive advantages through superior customer relationships.

Ready to transform your customer acquisition strategy and unlock the trillion-dollar opportunity in unowned retail channels? Discover how Brij can help your brand build direct relationships with retail customers, increase ROAS by 5.2x, and scale personalized experiences across your entire product portfolio. The future of customer acquisition is data-driven, AI-powered, and channel-agnostic—and it's available today through Brij's proven platform.

Citations:

1. Brij AI Stakeholder Platform
2. Customer Acquisition Cost Statistics 2025 - AMRA & ELMA
3. What is Online to Offline Attribution? - Azira
4. Brij Raises $8M to Bridge Offline-to-Online Customer Relationships - AlleyWatch
5. Average Customer Acquisition Cost: Benchmarks by Industry - UserPilot
6. Unlocking the Power of First-Party Data for Retail Media Success - WBR
7. Omnichannel Statistics For Retailers And Marketers (2025) - Uniform Market
8. Retail Predictive Analytics: Usage, Benefits & More - Leafio AI
9. First-Party Data: Benefits, Examples, and Strategy for 2025 - Anderson Collaborative
10. 60+ Omnichannel Marketing Statistics for 2025 - MoEngage
11. How Predictive Analytics Forecasts Consumer Trends - Lucent Innovation
12. What Is First-Party Data? A Complete Guide for 2025 - Shopify
13. The 2025 Guide to Omnichannel Marketing - Porch Group Media
14. Mastering Cross-Channel Attribution for Marketing Success - BL.INK
15. Best Customer Lifetime Value Statistics in E-Commerce - AMRA & ELMA