Trackier Platform: “Flexibility Based on Transparency”

Trackier Platform: "Flexibility Based on Transparency"

Publication date: 5 January 2026

In 2026, affiliate marketing has transformed from a tactical accounting tool into a strategic business performance management system. Modern platforms like Trackier function as central analytical hubs where big data and artificial intelligence not only uncover but also predict affiliate value, automate workflows, and minimize fraud risks. Key industry trends have shifted towards maximum data transparency, developing solutions for the post-cookie ecosystem, and ensuring seamless integrations. Learn how the Trackier platform addresses these challenges and what its strategic plans are in our new article on 3S.INFO.

  • What is the Trackier platform? It is a cloud-based SaaS platform for managing affiliate marketing and influencer marketing. In simple terms, it’s a unified hub that helps companies find partners, bloggers, and webmasters, launch advertising campaigns, track their effectiveness, and automate reward payments.

– How did your platform come about and what market problem were you addressing at that time? Which elements of that problem remain relevant today

The Trackier platform entered the market at a time when performance-based marketing was rapidly expanding, yet attribution technologies struggled to keep pace. Specialists faced three key challenges: limited visibility into channel effectiveness, insufficient flexibility in tracking models, and delays in accessing the real‑time data needed for decision‑making. The result was campaign inefficiency: campaigns were launched at scale, but teams lacked the transparency and control required to manage them effectively.

Our platform was created specifically to address this issue by providing a customizable, transparent, and scalable attribution system. We aimed to give brands and agencies full control over their data and the ability to adapt attribution models to fit their own business models, rather than forcing them to use limited standardized solutions.

Despite advances in the industry, many initial challenges persist today, manifesting in new forms: closed ecosystems limiting access to data, fragmented user journeys across different devices, and growing demands for private cookieless marketing. Yet the marketer’s core need remains unchanged: reliable, flexible, real‑time attribution.

This is precisely where Trackier continues to focus its efforts, transforming attribution from a retrospective analysis tool into an intelligent forward-looking instrument that drives growth-oriented decision making.

– Who achieves the highest ROI working with you? 

Maximum ROI is achieved by our clients who actively expand their presence across multiple promotional channels, particularly brands built around digital technology from the outset. A prime example is mCaffeine, India’s first caffeinated cosmetics brand. As a D2C company, mCaffeine faced the challenge of simultaneously expanding sales through affiliate programs and marketplaces while maintaining target customer acquisition cost (CPA) and return on investment (ROI) metrics.

By leveraging our platform’s capabilities, they implemented three critical changes:

  • Clearly defined attribution models guaranteeing transparent and fair payments to affiliates.
  • Established 30-day order validation periods, accelerating the process of confirming completed transactions and strengthening trust among affiliates.
  • Connected dashboard monitoring and real-time reporting, enabling both the brand and affiliates to act based on performance indicators without delay.

The results were significant. Revenue grew nearly 8% within a year, while CPA decreased approximately 20% each quarter. Most importantly, affiliate satisfaction increased due to transparent attribution and accelerated payouts, allowing mCaffeine to confidently expand its presence in Tier 2 and Tier 3 markets.

– What approach or principle consistently sets you apart from competitors? Provide an example of a situation where this approach brought measurable success.

Trackier stands out primarily because of our principle of combining flexibility with accountability. Attribution isn’t a one-size-fits-all solution: every brand, agency, and publisher ecosystem has its unique development strategy. While most platforms impose rigid frameworks, we empower customers to choose their own attribution models tailored to their specific business needs, ensuring every action they take is informed by verified real-time information protected against fraud.

This approach transforms attribution from passive reporting into an active driver of productivity improvement. A vivid example is our work with Revlinker, one of Europe’s oldest networks. Together, we developed a smartlink system designed for real-time monitoring, where each incoming click is monetized based on historical campaign efficiency. This system stops treating traffic uniformly and begins dynamic optimization, essentially allowing smart links to think independently and maximize ROI for marketers across numerous advertising campaigns.

We believe that the principle of “flexibility based on transparency” will be the defining factor of the next era of performance marketing, and it is upon this foundation that we continue to build our Trackier platform.

– Attribution in the age of privacy protection: what conscious compromises have you made and why?

In the era of heightened personal data protection requirements, the task of attribution lies not so much in collecting more data, but in ensuring proper collection, ownership, and responsible use of necessary information. At Trackier, we’ve made two important compromising decisions:

  1. Moving away from reliance on third-party cookies in favor of first-party and server-side tracking. This returns control back to the brand and ensures resilience amidst the disappearance of browser identifiers. The downside is increased complexity at the start of implementation, but long-term benefits include sustainable, privacy-compliant measurement.
  2. Customizable attribution windows aligned with actual consumer behavior patterns. We’ve abandoned outdated standard values (30–90 days) in favor of intervals reflecting real purchase cycles. This improves accuracy, reduces disputes, and aligns ROI reports with genuine business outcomes.

These compromises reflect our basic stance: attribution in the age of privacy compliance must be transparent, user-consent-driven, and future-proof. The industry will inevitably transition to AI-based modeling and predictive attribution, but the efficacy of such models depends entirely on the ethical foundations of the underlying data. That is the standard we have chosen for ourselves.

Anti-Fraud: What signals/thresholds do you use? What response measures are applied? How do you minimize false positives? Is there an appeals procedure?

Fraud represents one of the main threats to the sustainability of performance marketing, and our approach has always been to treat it as a dynamic layer of risk management rather than a static checklist.

We monitor signals throughout the entire conversion funnel: unusual click-to-install ratios, anomalies in app installation times, repeated IP addresses or device IDs, sudden spikes in traffic from individual sources, as well as mismatches between GEOs and device characteristics. These signals are considered holistically, not in isolation, which allows us to distinguish legitimate campaign surges from suspicious activity.

Our response mechanism operates on a multi-tier structure:

  • Automatic blocking of high-probability fraud cases (e.g., bot traffic or prohibited sources).
  • Suspension of processing medium-risk traffic until additional checks can be conducted.
  • Real-time alerts sent to advertisers and publishers, enabling timely proactive actions.

Minimizing false positives is crucial since overly aggressive blocking could damage healthy partnerships. Therefore, we combine algorithmic threshold settings with manual oversight of borderline situations and continuously retrain our models using campaign-derived data.

Finally, we firmly believe that honesty is just as important as protection. Every affiliate has access to detailed reports explaining why certain traffic was flagged. Additionally, there’s a structured appeal process in place. This enables reputable publishers to contest decisions, thereby reinforcing trust within the ecosystem.

– How did a specific report or visualization in your system lead to a change in client strategy?
Let’s go back to mCaffeine again. A clear case demonstrating the impact of reporting on achieving results were the Trackier reports on actual affiliate performance and cohort analysis, which became a turning point in the brand’s strategy.

Visualization allowed for seeing detailed metrics such as effective Customer Acquisition Cost (eCPA), approval rate percentage, and attribution quality broken down by individual affiliates and cohorts. The client gained a transparent view of where funds were being spent efficiently versus wasted.

Armed with these insights, the mCaffeine team quickly took action: paused low-quality cohorts, reallocated budgets toward top performers, introduced quality-linked payouts, and adjusted attribution windows. Within just 1–2 weeks, they updated their partnership structure, resulting in obvious gains after a year’s time: overall revenue increased by 11.79% year-over-year.

– Adaptation Process: At what stage does the entry funnel typically break down, and what changes have you made to reduce the time to achieve product value?

More often than not, the entry funnel breaks down when platforms adopt a one-size-fits-all approach to all clients. Attribution isn’t universal. Each brand has its own campaign structure, revenue model and priority areas for growth. When solutions are provided in predetermined frameworks, adaptation slows down, implementation lags, and the platform itself appears disconnected from the true needs of businesses.

At Trackier, we’ve flipped this approach upside-down. From the very first interaction, we aim to understand the client’s landscape: their ongoing ad campaigns, monetization strategies, regional priorities, and affiliate expectations regarding trust signals. Based on this information, we tailor attribution models, verification workflows, and reporting structures directly responsive to the specific client’s needs.

This guarantees immediate value delivery for the client. Instead of months spent acclimating to the tool, clients perceive Trackier as a means of accelerating growth from day one. That’s a vital component of successful campaigns and financial outcomes.

By eliminating assumptions and focusing on contextual relevance, we systematically reduce time to value and position ourselves as a strategic affiliate rather than merely a platform provider.

– The most non-trivial client request: how did you solve this problem, did this functionality become part of the main product (if refused, then why)?

One of the most unusual requests from our clients involved remarketing functionality. Several major publishers wanted the ability to place remarketing pixels but requested a universal third-party domain pixel suitable for widespread deployment.

Initially, this seemed like a narrow requirement, but soon we realized that it addressed a much broader industry-wide issue: simplifying remarketing workflows while preserving transparency and control for advertisers. Rather than viewing this request as a one-off customization, we assessed the idea’s scalability and integrated it into the core Trackier product.

Our approach has always been to evaluate non-standard client requests and determine whether they represent a forward-looking industry need. If so, we don’t just fulfill them, but integrate them into the product itself.

– Development plan for the next 12 months: What are your areas of focus and what are you definitely excluding from development?

Throughout 2026, we plan to focus on automation and artificial intelligence. The affiliate ecosystem is evolving at such a rapid pace that manual intervention is no longer feasible. Consequently, marketers require decision-support systems that are both active and adaptive.

We are focused on three primary directions:

  1. Affiliate Trustworthiness Evaluation: Using machine learning to dynamically assess affiliate quality based on traffic patterns, conversion reliability, and historical performance. This will enable brands to allocate spend more confidently and mitigate risks.
  2. Dynamic Commission Structure: Transitioning from fixed payment rules to an AI-managed commission structure that adapts in real-time to performance metrics, audience value, and campaign goals.
  3. Anomaly Alert System: Leveraging automation to detect abnormal behaviors (whether it’s fraudulent schemes, traffic spikes, or conversion drops) to allow marketers to respond before revenues suffer.

Equally important is what we’re deliberately excluding from our roadmap. Despite the heightened interest in Web3 technologies and speculative integrations, we intentionally avoid distractions that don’t deliver immediate and scalable ROI for our clients. We’re focused on solving today’s real problems for performance marketers: building trust, increasing efficiency, and driving growth.

– One common misconception about platforms like yours that you’d like to dispel.

One of the biggest misconceptions about platforms in our class is that they are mere reporting tools — passive dashboards telling users what’s already happened.

Actually, the reality is quite different. Modern attribution, when properly implemented, is anything but retrospective. It is predictive and prescriptive. It doesn’t just measure performance; it actively shapes it by optimizing affiliate payouts, flagging discrepancies in real time, and guiding marketers toward the most ROI-focused decisions.

We’ve built Trackier exactly on this premise. Attribution should serve as a growth engine, not an add-on post hoc tool. Our goal is to create a system that moves in sync with marketing itself.

Trackier Platform: Features and Benefits

Parameter   Trackier Features
Client Types   CPA Agencies, Advertising Agencies, Ad Networks, Brands, E-Commerce  
Focus: Top Verticals   E-commerce, Ad Networks, Retail
Top GEOs / Regions   India, UAE, (etc.)
Tracking   Server-side, JS, Postback, Fingerprint 
Cookieless  First-party, Hashed IDs, External IDs (UID2.0/ID5 etc.)
Anti-Fraud   In-house + Third-Party Vendors; Monitoring at Click/Lead/Install level; Appeal Process
Mobile  Apptrove SDK; Integrations with Major MMPs; Customizable In-App Events
“Out-of-the-box” Integrations (Top 5)   Segment, Ringba, mVAS/PIN API, Shopify, mParticle 
API  API, Webhooks, Bulk Uploads; Limits and Documentation Available
Reporting   Real-Time, Funnels, Cross-Device, Custom Segmentation
Customization  UI, Role-Based Permissions, Customizable Business Logic
Onboarding  Avg. Time ≈ 15 Min; Implementation SLA: 5–7 Business Days
Support Services   Telegram / Email / Slack / WhatsApp / Teams; Avg. Response Time: 35–60 Min
Pricing & Trial Offers   Usage-Based; 30-Day Trial; Overage:  Pay-As-You-Go; Migration Support
Reliability / Compliance (SLA / Storage / Residency / Certifications / GDPR) Uptime SLA: 99.99%; Data Retention: 12 Months; Data Residency: Global; Security Certification: ISO 27001 (2022); Compliance Standards: GDPR/CCPA

Trackier is a complete ecosystem for marketers, not just a partnership tool. The platform adapts flexibly to your business objectives, scales with ease, and supports seamless integration with hundreds of third-party services — everything works “out of the box.” Important bonus: during registration, mention that you were referred by 3SNET — and special terms will be activated for you. You only pay for actual results.

 

 

FAQ

How and for whom was Trackier created?

Trackier was initially launched as a response to the chaos in performance marketing, when traffic was growing faster than attribution technology. At that time, the key pain points included low visibility into channel effectiveness, rigid tracking models, and data delays that disrupted real-time decision-making. Today, those pains have evolved: closed ecosystems, multi-device user behavior, and cookie restrictions have been added. However, the core need remains the same. Marketers still require transparent, adaptive and fast attribution that doesn’t just “report in hindsight,” but helps drive growth.

Which clients achieve the highest ROI with Trackier in practice?

The platform delivers maximum value for brands and networks that actively scale across multiple channels simultaneously and operate within a digital model: D2C brands, e‑commerce, and networks with extensive affiliate programs. A typical use case: a client combines affiliate channels and marketplaces, strictly maintains CPA targets and aims to grow. By implementing transparent attribution rules, logical order validation windows, and real‑time dashboards, such companies reduce customer acquisition costs, speed up affiliate payouts, and achieve year‑on‑year growth in both revenue and profit through increased trust and continuous optimization.

How does Trackier's approach to attribution differ from other platforms?

Trackier’s distinguishing principle is “flexibility without chaos.” Unlike other platforms that enforce a single attribution model, Trackier empowers brands, agencies, and networks to craft their own rules tailored to their specific economic conditions. Decisions are grounded in real-time data and embedded anti-fraud mechanisms — not static reports. For instance, with Revlinker, this translated into a smartlink system where each click is evaluated based on historical effectiveness and automatically routed to the campaign delivering maximum ROI. Thus, attribution shifts from mere reporting to becoming an active optimizer.

How does Trackier balance attribution with user data protection?

Trackier consciously moved away from dependency on third-party cookies, opting instead for first-party data and server-side tracking, even though this adds complexity during initial setup. Furthermore, attribution windows are customized according to actual purchasing cycles, rather than defaulting to arbitrary 30–90 day windows. This minimizes disputes, makes ROI calculations more accurate, and better aligns with privacy regulations. Ultimately, Trackier builds a model where data is collected purposefully, with clear objectives, and works towards predictive attribution rather than excessive data collection solely for reporting purposes.

How does Trackier handle fraud and ensure high‑quality traffic?

Anti‑fraud in Trackier is not a single checkbox, it’s a layer of risk management applied across the entire funnel. It includes analysis of conversions, anomalies in installation timing, recurring IPs/devices, source spikes, and GEO discrepancies. Based on these signals, the platform can automatically block clearly fraudulent traffic, temporarily pause suspicious sources, and notify all parties simultaneously. To avoid cutting off genuine traffic, algorithmic checks are combined with manual review of borderline cases, and affiliates receive transparent reporting on flagged causes along with a formal appeals procedure. This approach allows for robust fraud protection without harming legitimate partnerships.

Expert and analyst, well-versed in gambling and betting: I study trends and analytics and ask the right questions.
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