Attribution Platform Comparison: Choose Your Data Source for Maximum ROAS

In today's dynamic digital advertising landscape, simply running ads isn't enough. Marketers are under immense pressure to prove short-term ROI, yet two-thirds admit they lack the right solutions for cross-channel decision-making. This challenge intensifies with reduced marketing budgets, the looming deprecation of third-party cookies, and the paradigm shift to Google Analytics 4 (GA4). The crucial question for any ambitious e-commerce business becomes: "How do I compare TrueROAS with Triple Whale, Northbeam, or even an in-house setup to ensure I'm not just spending, but strategically investing?" This comprehensive guide delves into the complexities of modern marketing attribution, comparing leading platforms to help you choose the data source that will empower your AI bidding, maximize sales, and prevent costly ad waste. We'll explore the current industry challenges, the technical underpinnings of advanced attribution, and provide a detailed analysis of each solution, complete with expert opinions and real-world case studies.

Executive Summary

• The Attribution Crisis is Real: Marketers face significant challenges including budget cuts, cookie deprecation, GA4's "black box" DDA, and platform bias. Only 17% holistically assess digital channels, and 77% feel increased pressure for ROI.
• Single-Touch Attribution is Obsolete: A typical consumer journey involves 56 touchpoints, yet single-touch models miss 55 of them. Multi-Touch Attribution (MTA) is now used by 75% of companies.
• AI & First-Party Data are Essential: Post-iOS 14.5 and cookie deprecation, sophisticated platforms leverage proprietary pixels, machine learning, and hybrid probabilistic/deterministic models to bridge data gaps and provide accurate insights.
• In-House Setups are High-Risk: While offering control, they demand significant expertise and resources, often struggle with modern privacy changes, and can't match the algorithmic sophistication of dedicated platforms.
• Platforms Offer Differentiated Value:
  • TrueROAS: Specializes in AI-powered e-commerce attribution for post-iOS world, focusing on identifying winning ad sets and feeding optimized data back to major ad platforms.
  • Triple Whale: Positions itself as an "e-commerce operating system" with a unified dashboard, Moby AI Agents, and Sonar (data enrichment) for improved reporting and ad platform feedback.
  • Northbeam: Emphasizes "Universal Attribution" with a proprietary pixel and ML models to stitch users, providing omnichannel insights and blending deterministic with probabilistic methods for DTC/e-commerce.
• Actionable Insight: Choose a platform that provides accurate, first-party data-driven, and AI-enhanced multi-touch attribution, and crucially, one that can feed this enriched data back to your ad platforms to optimize their bidding algorithms.

Background Context: The Evolving Landscape of Digital Attribution

The marketing world is grappling with an attribution crisis. According to Corvidae.ai, key challenges for 2024 include reduced marketing budgets, the inevitable impact of third-party cookie removal, pressure to adopt GA4, overcoming platform bias, and measuring the entire customer journey. These aren't just technical hurdles; they directly impact a business's ability to maximize sales and maintain profitability. A staggering 60% of CMOs plan to cut marketing analytics teams, citing "failed promised improvements" as the reason, as referenced by Corvidae.ai from Gartner research. This underscores a critical truth: many in-house or less sophisticated attribution setups are failing to deliver actionable insights. Furthermore, LinkedIn data (via Corvidae.ai) reveals that 77% of CMOs feel increased pressure to prove short-term ROI, and two-thirds lack the solutions for cross-channel decision-making. The struggle is pervasive: a September 2024 MarketingProfs survey found that marketers' top attribution challenges are lack of expertise (42%), difficulty tracing customer touchpoints (41%), and limited resources for analysis (40%). It’s no wonder only 17% of advertisers can holistically assess their digital channels' performance, as noted by EasyInsights. The traditional single-touch attribution models are simply inadequate. A modern retail consumer requires an average of 56 touchpoints before purchasing, yet single-touch models miss 55 of these interactions, according to Report Garden. This stark reality explains why 75% of companies now use Multi-Touch Attribution (MTA) to measure marketing performance, as reported by Ruler Analytics. The shift isn't a trend; it's a necessity for survival and growth in the e-commerce world.

Why Clean Data Feeds AI: Powering Your Bidding Algorithms

At the heart of maximizing sales and preventing ad waste lies the quality of your conversion data. Modern advertising platforms like Google, Meta (Facebook/Instagram), and TikTok rely heavily on AI and machine learning to optimize ad delivery and bidding. These algorithms are only as intelligent as the data they receive. This is where accurate attribution becomes paramount. When your attribution platform provides clean, deduplicated, and comprehensive conversion data, it directly fuels the effectiveness of these AI bidding systems: * Google's Enhanced Conversions: By providing Google with hashed first-party customer data, enhanced conversions improve the accuracy of your conversion measurement, especially in a privacy-centric world. This richer data allows Google's Smart Bidding to make more informed decisions, leading to higher ROAS. * Meta's Conversions API (CAPI): The CAPI allows businesses to send web events directly from their server to Meta, bypassing browser-side tracking limitations. This server-side data is more reliable and robust, providing Meta's algorithms with a more complete picture of customer interactions, which in turn optimizes ad delivery and performance. * TikTok Events API: Similar to Meta CAPI, TikTok's Events API enables advertisers to send conversion data directly to TikTok, improving event matching, campaign optimization, and audience building without relying solely on client-side pixels. In essence, a sophisticated attribution platform that collects rich, first-party data and seamlessly feeds it back to these ad platforms isn't just a reporting tool; it's a critical component of your growth engine. It ensures the AI powering your ad spend learns from the most accurate signals, enabling it to find the right customers, at the right time, with the right message, ultimately maximizing your sales and preventing valuable ad budget from being wasted on underperforming campaigns. Without this, your ad platforms are operating in the dark, leading to suboptimal bidding and lost revenue opportunities.

Core Analysis: Navigating the Attribution Maze

To make an informed decision, it's essential to understand the technical nuances and practical implications of different attribution approaches.

The Modern Attribution Landscape: Challenges & Solutions

The shift from simple, last-click models to sophisticated multi-touch attribution (MTA) reflects the complex, multi-device customer journey.

Understanding Multi-Touch Attribution (MTA)

Multi-Touch Attribution models distribute credit for conversions across various customer interactions that lead to a desired action. Unlike single-touch models that assign 100% credit to one interaction (e.g., first-click or last-click), MTA recognizes that each touchpoint contributes. All advanced platforms discussed (TrueROAS, Triple Whale, Northbeam) emphasize MTA as a core offering. Common MTA models include:

• Linear: Assigns equal credit to every touchpoint in the journey.
• Time-Decay: Gives more credit to touchpoints closer to the conversion event. Analytics expert Avinash Kaushik advocates for this, suggesting earlier touchpoints should be weighted less because "if [those] were magnificent, why did they not convert?" (Twilio Segment, referencing Kaushik).
• U-Shape (or Bathtub): Credits the first and last touchpoints most heavily, with less emphasis on mid-funnel interactions.
• W-Shape: Spreads credit across the first touch, a lead creation point (middle), and the final touchpoint.
• Algorithmic/Data-Driven: Uses machine learning/AI to determine the most influential touchpoints based on complex algorithms. This offers the most complete picture but requires robust data and can be a "black box," as Greg Finn noted regarding GA4's Data-Driven Attribution (Napkyn, referencing Search Engine Land).

Probabilistic vs. Deterministic Attribution in a Privacy-First World

This distinction is fundamental to how platforms address modern privacy challenges and the deprecation of third-party cookies.

• Deterministic Attribution: Relies on unique identifiers (like user IDs, hashed emails, or precise device IDs) to track users with high precision. Its effectiveness is declining due to privacy regulations and the removal of third-party cookies.
• Probabilistic Attribution: Uses statistical models and machine learning to estimate the likelihood of touchpoints influencing conversions when exact tracking isn't possible. It fills data gaps but is generally less accurate and has a shorter lookback window (e.g., accuracy decays exponentially after 24 hours). Crucially, Apple has banned probabilistic attribution on iOS devices since iOS 14.5.
• Hybrid Approach: An anonymous expert from LeadsRx suggests a hybrid approach, combining both methods for comprehensive and accurate measurement. This balances precision with coverage, a strategy that Northbeam explicitly claims to use.

Common Attribution Problems & How Platforms Solve Them

Specialized platforms are designed to overcome challenges that plague in-house setups:

• Platform Bias: Ad platforms inherently over-report their own conversions. Third-party attribution tools provide an unbiased view.
• Cross-Device/Cross-Browser Tracking: Identifying users across multiple devices and browsers is difficult without advanced identity stitching. Platforms use proprietary pixels and ML to connect these dots.
• Offline Conversion Tracking: Digital analytics tools often miss offline sales (e.g., in-store purchases). Comprehensive platforms aim to integrate this data.
• GA4 Specific Challenges: GA4's event-based model, inconsistent attribution across reports, "black box" Data-Driven Attribution, data sampling, and filtering by consent mode create significant hurdles for marketers. Dedicated attribution platforms often offer more transparency and control.

Deep Dive into Attribution Platforms: TrueROAS, Triple Whale, Northbeam, or In-House?

Choosing the right platform for e-commerce attribution requires a careful look at capabilities, costs, and strategic fit.

In-House Setups

For some, the idea of building an in-house attribution system offers complete control and customization, with no recurring software subscription fees. However, the cons often outweigh the pros in today's complex environment. The MarketingProfs survey noted that lack of expertise (42%) and limited resources (40%) are major hurdles for marketers. Building and maintaining a sophisticated system demands significant investment in skilled personnel, time, and infrastructure. In-house solutions often struggle with platform biases, integrating disparate data sources, and adapting to post-iOS privacy changes, making them less capable of delivering the deep insights needed to maximize sales.

TrueROAS

TrueROAS is an AI-powered ad attribution platform specifically designed for e-commerce businesses to accurately track and optimize ad spend in a post-iOS 17 world. Its core value lies in identifying winning ad sets, cutting losses, and significantly improving ROAS. * Attribution Model: TrueROAS utilizes "Promethean AI" and machine learning for accurate e-commerce purchase attribution. It claims to track 100% of orders and map the full customer journey across cookies, browsers, and IPs, a critical feature for robust tracking. * Integrations: Seamlessly integrates with Shopify (TrueROAS Shopify app) and WooCommerce (TrueROAS Wordpress Plugin). Crucially, it feeds optimized data back to Facebook, Google, and TikTok, directly powering their AI bidding systems. * Key Features: Real-time ROAS tracking, ad waste identification, cross-platform analytics, a unified ad management dashboard, fast data syncing (every 5 minutes), profit tracking, customer journey breakdowns for each order, creative breakdown, and GDPR compliance. Its quick setup (approx. 4 minutes) makes it accessible for busy e-commerce teams. * Pricing: Tiered pricing, starting at $99/month for sales under $40,000, scaling to $199/month for up to $100k sales.

Triple Whale

Triple Whale positions itself as an "e-commerce operating system" that unifies sales, marketing, and customer data into a single, customizable dashboard, aiming to be a "single source of truth." * Attribution Model: Employs a "Triple Pixel" (a first-party data pixel) for more accurate multi-touch attribution, providing a clearer picture of true ROAS and complex customer journeys in a post-iOS world. A server-side pixel tracks the entire customer experience. * Integrations: Offers robust integrations with Shopify, Meta, Google, TikTok, email marketing tools (e.g., Klaviyo), and various other e-commerce apps like Recharge Payments, Yotpo, and Gorgias. * Key Features: A unified Founders Dashboard, customizable reporting, KPI monitoring, real-time insights, Moby AI Agents (for insights, automation, fraud prevention), and Sonar (a signal enrichment feature that sends data back to marketing platforms like Meta and Klaviyo). It also provides ad-level analysis, a mobile app, unlimited users, and cross-currency support. * Pricing: Offers a free "Founders Dashboard" for high-level data. Paid plans scale with Gross Merchandise Value (GMV), starting from $100-$300/month for smaller brands seeking full attribution features. Expert Opinion: Aazar Shad, an experienced marketer, highlights a critical distinction: Triple Whale is primarily a reporting and analytics dashboard that shows what happened, whereas some alternatives are designed to actively improve* ad performance by sending enriched data back to ad platforms (Aazar Shad, "Triple Whale Pricing in 2025"). While this was a past criticism, Triple Whale's Sonar feature directly addresses sending enriched data back to ad platforms for optimization.

Northbeam

Northbeam is a marketing intelligence platform for DTC and e-commerce brands, focused on providing actionable insights for profitable growth through machine learning and first-party data. * Attribution Model: Utilizes "Universal Attribution," which combines elements from multiple multi-touch attribution models. It leverages a proprietary pixel for first-party data collection and world-class ML models for stitching users across sessions using a bespoke identity and device graph. Northbeam explicitly blends deterministic insights with probabilistic attribution to solve "real-funnel tracking," claiming to provide MTA "free from cookie limitations or privacy constraints." It notably does not use third-party platform data in its attribution modeling. * Integrations: Offers "Deeper Integrations" for major ad platforms like Facebook Ads, Pinterest Ads, LinkedIn, Google Analytics, Google Ads, TikTok Ads, etc., and claims to measure attribution from any data source. * Key Features: Omnichannel dashboards, creative analytics, cross-channel ad optimization, customizable reports, real-time data processing, predictive analytics, workflow/data management, customer segmentation, and a strong focus on CLV and conversion rates. It supports Cash Snapshot and Accrual Performance and includes a mobile app. * Pricing: Tiered, with custom pricing for sites with fewer pageviews; hourly data refreshes or annual discounts require direct contact.

Evidence & Proof: Data, Case Studies, and Expert Opinions

The effectiveness of these platforms isn't just theoretical; it's backed by tangible results and informed perspectives.

Impactful Case Studies

Real-world examples illustrate the transformative power of advanced attribution:

• Northbeam - KITSCH: After onboarding Northbeam, KITSCH achieved a +75% increase in revenue, improved ROAS by +39% across all channels, and decreased Customer Acquisition Cost (CAC) by 21%. The CMO noted, "The difference after Northbeam was night and day," underscoring the platform's ability to provide a holistic understanding of touchpoints driving sales (Northbeam Case Study - KITSCH).
• Triple Whale - Zox: The e-commerce brand Zox achieved 90% accuracy in data reporting overnight using Triple Whale's Sonar feature, revitalizing their marketing strategy in the EU & UK amidst GDPR. Sonar's signal enrichment sends data back to platforms like Meta and Klaviyo (Triple Whale Case Study - Zox).
• Triple Whale - LSKD: Triple Whale's Moby AI Agents helped LSKD prevent over $100K in fraud and lifted ROAS by 40%, demonstrating direct financial impact through AI-driven insights (Triple Whale Case Study - LSKD).
• Triple Whale - Ekster: Ekster reduced the time spent on reporting by 65% after switching to Triple Whale and utilizing its Moby Agents, highlighting operational efficiency gains (Triple Whale Case Study - Ekster).

Expert Perspectives on Attribution

Thought leaders in the field further illuminate the complexities and best practices:

• Hybrid Approach: An anonymous expert from LeadsRx suggests a hybrid approach, combining deterministic and probabilistic models, is the most effective way to understand the customer journey and channel value. This directly supports the strategies employed by Northbeam and other advanced platforms.
• GA4's "Black Box": Greg Finn, Director of Marketing for Cypress North, noted that with the deprecation of models like linear in GA4, finding first-touch information will be "much muddier because there will no longer be a way to see the formulas that compute the attribution scores." He highlights the "black box" nature of GA4's Data-Driven Attribution (DDA), creating a need for more transparent external solutions (Napkyn, referencing Search Engine Land).

Practical Implications: Maximizing Sales and Preventing Loss

For e-commerce businesses and marketing professionals, choosing the right attribution software isn't just about data; it's about business impact. How can you avoid losing sales and ensure you maximize every marketing dollar? 1. Prioritize First-Party Data & AI: In a world without third-party cookies and with stringent privacy rules (iOS 14.5+ banning probabilistic attribution on iOS devices), relying on robust first-party data collection and sophisticated AI/ML models is no longer optional. Platforms like TrueROAS, Triple Whale, and Northbeam that invest in proprietary pixels and advanced algorithms are better equipped to provide accurate insights, ensuring your ad platforms receive the high-quality data they need for optimal bidding. 2. Move Beyond Reporting to Optimization: While unified dashboards are valuable for reporting, the true power lies in platforms that can feed enriched, unbiased attribution data back to your ad channels (Google, Meta, TikTok). This active optimization ensures your ad spend is intelligently directed by the ad platforms' own AI, leading to higher ROAS and preventing ad waste. 3. Evaluate Attribution Model Sophistication: Simple, rules-based MTA models (linear, time-decay) are better than single-touch, but data-driven, algorithmic models often provide the most nuanced understanding. Understand how each platform (e.g., TrueROAS's Promethean AI, Northbeam's Universal Attribution) approaches this to ensure it aligns with your strategic needs. 4. Consider Resource Allocation: An in-house solution might seem cost-effective initially, but the hidden costs of expertise, maintenance, and the inability to keep pace with rapid industry changes can be astronomical, leading to missed opportunities and suboptimal ad performance. Dedicated platforms distribute these costs and offer specialized knowledge and continuous updates. 5. Seek Transparency (Where Possible): While AI models can be complex, understanding the methodology behind a platform's attribution is crucial. Avoid "black box" solutions that offer no insight into how credit is assigned, especially if they claim to override ad platform data. 6. Focus on the Full Customer Journey: The modern consumer needs an average of 56 touchpoints before purchase. Your chosen solution must track and attribute across all relevant digital channels and devices, ideally including offline conversions, to give you a complete picture and prevent you from under-investing in critical mid-funnel touchpoints.

TrueROAS Connection: Smart Attribution for Smart E-commerce Growth

The challenges outlined in this article – from platform bias and cookie deprecation to the need for actionable, AI-driven insights – are precisely what TrueROAS is designed to solve for e-commerce brands. By leveraging its "Promethean AI" and proprietary tracking, TrueROAS ensures accurate, first-party data collection and multi-touch attribution, delivering a transparent view of your marketing performance that you won't get from fragmented in-house setups or platform-specific reports. TrueROAS addresses the critical need to feed clean data back to ad platforms, empowering Google, Meta, and TikTok's AI bidding algorithms with the precise information they need to optimize for maximum sales. This not only identifies winning ad sets but also crucially flags wasted spend, directly impacting your bottom line and helping you navigate the complexities of a post-iOS world. With features like real-time ROAS tracking, ad waste identification, and customer journey breakdowns, TrueROAS provides the clarity and control necessary to make data-driven decisions, ensuring every dollar spent contributes to growth. Don't let attribution challenges lead to lost sales or inefficient ad spend. Take the first step towards a clearer understanding of your marketing performance with a Free Ad Tracking Audit.

Conclusion: The Future is Clear, Smart Attribution Wins

The era of guesswork in marketing attribution is over. The complexities introduced by privacy regulations, cookie deprecation, and the shift to GA4 demand a sophisticated approach. While in-house solutions offer theoretical control, their practical limitations in expertise, resources, and adaptability make them a risky gamble for businesses striving to maximize sales and protect ROI. The `attribution platform comparison` reveals that specialized solutions like TrueROAS, Triple Whale, and Northbeam offer distinct advantages. They harness first-party data, advanced AI/ML, and multi-touch attribution models to provide the accurate, unbiased insights essential for navigating modern digital advertising. The key differentiator for any `e-commerce attribution` platform lies not just in its reporting capabilities, but in its ability to actively enhance your ad performance by feeding enriched data back to your AI bidding systems. When `choosing attribution software`, focus on its ability to:

• Provide precise, post-iOS 14.5 and cookie-proof tracking.
• Offer transparent, data-driven multi-touch attribution.
• Empower your ad platforms' AI with clean, optimized data.
• Deliver actionable insights that directly improve ROAS and prevent ad waste.

The future of e-commerce growth hinges on smart attribution. By making an informed choice, you empower your marketing, maximize your sales, and secure your competitive edge.

Fact Sheet: Attribution Platforms at a Glance

Platform: In-House Setups
*   Pros: Complete control, maximum customization, no software subscription fees.
*   Cons: High expertise/resource demand, time-consuming, vulnerable to platform bias, struggles with privacy changes (iOS 14.5+), less sophisticated modeling.
*   Primary Use Case: Highly specific, niche requirements with significant internal development resources.
Platform: TrueROAS
*   Core Offering: AI-powered ad attribution for eCommerce, optimizing ad spend in a post-iOS 17 world.
*   Attribution Model: Promethean AI, machine learning, tracks 100% of orders, maps full customer journey (cookies, browsers, IPs).
*   Data Strategy: Proprietary first-party pixel, feeds optimized data back to Facebook, Google, TikTok.
*   Key Features: Real-time ROAS, ad waste identification, cross-platform analytics, unified dashboard, fast syncing, profit tracking, creative breakdown, GDPR compliant.
*   Pricing: Tiered, starting $99/month (sales under $40k), $199/month (up to $100k sales).
*   Primary Use Case: E-commerce brands needing accurate, AI-driven insights and active ad optimization.
Platform: Triple Whale
*   Core Offering: E-commerce operating system, unifies sales, marketing, customer data into a single dashboard.
*   Attribution Model: Triple Pixel (first-party, server-side), multi-touch attribution.
*   Data Strategy: Proprietary first-party pixel, Sonar feature sends enriched data back to ad platforms (Meta, Klaviyo).
*   Key Features: Unified Founders Dashboard, customizable reports, Moby AI Agents (insights, automation, fraud prevention), ad-level analysis, mobile app.
*   Pricing: Free Founders Dashboard, paid plans scale with GMV (e.g., $100-$300/month for attribution features).
*   Primary Use Case: E-commerce brands seeking a holistic data view, reporting, and AI-powered insights with data enrichment.
Platform: Northbeam
*   Core Offering: Marketing intelligence platform for DTC/e-commerce, actionable insights for growth.
*   Attribution Model: Universal Attribution (blends MTA models), proprietary pixel, ML models for identity stitching. Blends deterministic/probabilistic. Does not use third-party platform data.
*   Data Strategy: Proprietary first-party pixel, ML for user stitching, measures attribution from any data source.
*   Key Features: Omnichannel dashboards, creative analytics, cross-channel ad optimization, predictive analytics, CLV focus, cash/accrual performance.
*   Pricing: Tiered, custom pricing for smaller sites; contact for hourly refreshes/annual discounts.
*   Primary Use Case: DTC/e-commerce brands requiring robust first-party data, hybrid attribution, and comprehensive omnichannel insights.

Sources

1. Corvidae.ai (Chris Liversidge, CEO & Founder). "5 Marketing Challenges In Attribution For 2024." January 26, 2023. [URL: Not directly provided in snippet, but from search result]
2. Gartner (referenced by Corvidae.ai). Predicted 60% of CMOs to cut marketing analytics teams. [URL: Not directly provided in snippet]
3. LinkedIn Data (referenced by Corvidae.ai). 77% of CMOs feeling increased pressure for ROI. [URL: Not directly provided in snippet]
4. MarketingProfs. "The Top Challenges Marketers Face With Attribution." September 2024, based on Ascend2 research. https://www.marketingprofs.com/articles/2024/49197/the-top-challenges-marketers-face-with-attribution
5. EasyInsights. "Top 8 Marketing Attribution Tools and Software for 2024." February 16, 2024. https://easyinsights.ai/blog/marketing-attribution-tools-software/
6. Report Garden. "2024 Guide to Marketing Attribution Models." September 19, 2024. https://reportgarden.com/marketing-attribution-models/
7. Ruler Analytics. "Complete Guide To Multi-Touch Attribution." October 28, 2024. https://www.ruleranalytics.com/multi-touch-attribution-guide/
8. Twilio Segment. "A Guide to Multi-Touch Attribution: What It Is and How to Do It." (Source references Avinash Kaushik). https://segment.com/blog/multi-touch-attribution-guide/
9. LeadsRx. "Probabilistic vs. Deterministic Attribution: What's the Difference?" January 18, 2023. https://www.leadsrx.com/blog/probabilistic-vs-deterministic-attribution-whats-the-difference/
10. Napkyn. "Decoding GA4: Adapting Your Attribution Model for Google's New Analytics Era." (References Search Engine Land). https://napkyn.com/blog/decoding-ga4-adapting-your-attribution-model-for-googles-new-analytics-era/
11. Aazar Shad. "Triple Whale Pricing in 2025: My Honest Review of Its True Cost and AI-Powered Value." October 7, 2025. https://aazarshad.com/triple-whale-review-pricing/
12. Northbeam Case Study. "Unlocking Growth With Dependable Data & Clear Customer Journeys: KITSCH." https://northbeam.io/customers/kitsch
13. Triple Whale Case Study. "How Zox Used Sonar to Achieve 90% Accuracy in Data Reporting Overnight." https://www.triplewhale.com/case-studies/zox
14. Triple Whale Case Study. "Moby Agents help LSKD prevent over $100K in fraud and lift ROAS by 40%." https://www.triplewhale.com/case-studies/lskd
15. Triple Whale Case Study. "Ekster switches to Triple Whale and reduces time spent on reporting by 65% with Moby Agents." https://www.triplewhale.com/case-studies/ekster

For more detailed insights into advanced e-commerce tracking and attribution, explore Why TrueROAS is the Smart Choice for Your E-commerce Business.