The Architectureof Influence
For Lehlah Styling Private Limited, India (Essar Group)
Engineering Lehlah's Viral-Resistant Click Intelligence & Attribution Ecosystem
Lehlah is a leading social e-commerce platform in India that empowers creators to monetize their influence through multi-marketplace affiliate integration. As Lehlah's content began going viral, especially across reels and multi-platform creator posts, the platform needed a reliable, real-time, high-speed click attribution engine capable of sustaining massive, unpredictable traffic bursts. Jetbro partnered with Lehlah to build an end-to-end click intelligence system that delivers accurate attribution, viral-resistant scaling, and real-time visibility for both creators and brands across marketplaces, including Amazon, Flipkart, Myntra, Meesho, Shopsy, Ajio, and more.
The Quick Read
Overview & Background
Lehlah is a modern fashion discovery marketplace where creators drive product exploration for millions of shoppers. In this creator-led model, every click directly influences payouts and brand performance. Lehlah is a leading social e-commerce platform in India that empowers creators to monetize their influence through multi-marketplace affiliate integration. Jetbro partnered with Lehlah to build an end-to-end click intelligence system that delivers accurate attribution, viral-resistant scaling, and real-time visibility for both creators and brands across marketplaces.
The Challenges
As Lehlah's content began going viral, especially across reels and multi-platform creator posts, the platform needed a reliable, real-time, high-speed click attribution engine capable of sustaining massive, unpredictable traffic bursts. The digital ecosystem for Lehlah presented significant architectural and data engineering challenges that required a resilient, high-performance solution designed for massive scale and complex attribution logic.
The Solution
Jetbro engineered a high-speed, real-time attribution engine powered by a custom click ID algorithm, a horizontally scalable tracking service, and a creator-first analytics interface. This included viral-resistant tracking infrastructure, deterministic attribution and data integrity layers, real-time data processing and event streaming, unified multi-marketplace intelligence, automation-first operations, and a real-time creator dashboard.
The Impact
Jetbro delivered a single, unified platform that now powers Lehlah's scale, trust, and revenue intelligence. The result is a creator technology platform that operates at global performance standards, remains stable under virality, provides real-time transparency to creators, delivers deep revenue intelligence to brands, and runs with significantly lower operational overhead—establishing Lehlah as a market leader in creator technology.
The Full Story
This case study outlines the end-to-end automation initiative executed for Lehlah, a leading social e-commerce platform in India that empowers creators to monetize their influence through multi-marketplace affiliate integration. Lehlah is a modern fashion discovery marketplace where creators drive product exploration for millions of shoppers. In this creator-led model, every click directly influences payouts and brand performance. As Lehlah's content began going viral, especially across reels and multi-platform creator posts, the platform needed a reliable, real-time, high-speed click attribution engine capable of sustaining massive, unpredictable traffic bursts. Jetbro partnered with Lehlah to build an end-to-end click intelligence system that delivers accurate attribution, viral-resistant scaling, and real-time visibility for both creators and brands across marketplaces, including Amazon, Flipkart, Myntra, Meesho, Shopsy, Ajio, and more.
Challenges
Scaling for Volatile Demand and Zero-Tolerance Operations
The primary technical hurdle for Lehlah was the extreme volatility of traffic. Clicks frequently exceeded 5,000 requests per minute during viral events. This necessitated a tracking layer engineered to handle burst loads while maintaining zero tolerance for failure or latency. The solution mandate required horizontal scalability, stateless architecture, near-zero latency, and guaranteed zero ID collisions.
High-Fidelity Attribution Through Engineered Click IDs
Achieving accurate attribution without burdening the primary operational database was a critical engineering challenge. The traditional method of performing a database lookup on every click was not viable for the required latency and throughput. The solution demanded a shift to deterministic, metadata-carrying identifiers. The system was mandated to avoid transactional database lookups during the high-volume redirect process.
Real-Time Data Ingestion for Creator Transparency
To establish Lehlah as a creator-first platform, complete financial and performance transparency was non-negotiable. This required translating complex, disparate back-end sales data into instant, actionable insights. Creators required real-time visibility into total clicks, link-level performance, brand-level revenue, and marketplace-wise order data.
Unifying Multi-Platform Order Mapping and Validation
The most substantial data engineering challenge involved unifying the attribution and validation methodologies across diverse e-commerce marketplaces, as each provided order data with unique latency and format constraints. This included disparate reporting schemas, integrating data from platforms ranging from Amazon and Flipkart to Meesho, Shopsy, and Ajio.
Solution Architecture
Custom Click ID Algorithm (Jetbro Click Generation v1)
Jetbro designed a highly compact, self-contained click ID structure that embeds all necessary metadata directly into the identifier. This data payload includes the Influencer ID, Campaign ID, Post/Reference ID, Link Type, a precise Timestamp, and an Entropy field for near-zero collision avoidance in distributed environments. This innovative structure delivered three core architectural advantages: zero database lookups during redirects (ensuring ultra-low latency), guaranteed deterministic attribution, and ultra-fast decoding during post-event order reconciliation.
Viral-Resistant Tracking Service
To handle the extreme volatility of social trends, Jetbro built a resilient, stateless microservice deployed at the edge. The system is architected to prioritize stability and speed through peak performance scaling (engineered to support massive traffic bursts ranging from 5,000 to 50,000 clicks per minute with ultra-low latency redirection), asynchronous event streaming (by decoupling the tracking mechanism from the downstream analytics pipeline), and dynamic autoscaling.
Unified Order Attribution Across All Marketplaces
Addressing the disparate reporting challenge, Jetbro designed resilient, extensible ingestion pipelines for all major Indian e-commerce platforms, including Amazon, Flipkart, Myntra, Meesho, Shopsy, and Ajio. This included algorithmic stitching (every incoming API callback or sales report is immediately normalized and algorithmically mapped back to the unique Jetbro Click ID), integrity and security (ensuring a "Single Source of Truth," enforcing zero double-counting and providing integrated fraud detection), and commercial intelligence.
Real-Time Creator Dashboard (The Game Changer)
To fulfill the promise of creator transparency, Jetbro developed a live analytics dashboard. This critical front-end feature allows creators to monitor their influence and financial performance in real time. Creators can instantly view live clicks (aggregated across all links, brands, campaigns, down to the individual post/reel level), live attributed orders (instantaneous status updates from marketplaces), and real-time revenue insights (providing clarity on earnings per link, conversion behavior per reel, best-performing marketplaces, and trending products).
The Impact, Measured
Viral-Resistant, High-Concurrency Tracking Infrastructure
50× scalability reserve, ensuring platform stability during sudden creator-led traffic surges, consistent performance and uptime under extreme load, and infrastructure future-proofed for aggressive growth.
Deterministic Attribution & Data Integrity Layer
95%+ attribution accuracy, complete elimination of manual reconciliation processes, and significant reduction in payout disputes and data discrepancies.
Real-Time Data Processing & Event Streaming
Total creator transparency through live dashboards, instant, verifiable earnings visibility for creators, and improved creator trust, retention, and engagement.
Unified Multi-Marketplace Intelligence Layer
Clear visibility into creator-level revenue contribution, insights into top-performing content formats and time patterns, and marketplace-level ROI clarity for brands.
Automation-First Operations & Reconciliation Pipeline
70% reduction in operational workload, faster settlement cycles, and lower recurring operational costs with higher data reliability.
Comprehensive Before & After
| Impact Area | Before | After | Improvement |
|---|---|---|---|
| Attribution Accuracy | High Ambiguity / Manual Reconciliation | Deterministic Attribution System | 95%+ Accuracy |
| Scaling Capacity | Bottlenecked at 5K Clicks/Min | Handling 50K+ Clicks/Min | 50× Scalability Reserve |
| Operational Cost / Effort | High Manual Reconciliation Overhead | Automation-First Operations | 70% Reduction |
| Creator Visibility | Guesswork / Delayed Reporting | Real-Time Dashboards | Total Transparency |
| Brand Intelligence | Limited High-Level Data | Granular Creator-to-Revenue Mapping | Deep Insights |
Project at a Glance
Client
Lehlah Styling Private Limited (Essar Group)
Industry
Social E-Commerce / Fashion
Capabilities
Engagement Model
Jetbro ScaleOther Case Studies
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