You can't improve what you can't see. Now they can see everything.
MyRaymond is the official e-commerce platform for Raymond Group, featuring premium brands including Raymond, Park Avenue, ColorPlus, Parx, and Sleepz. With a multi-brand catalog spanning formal wear, casual wear, and lifestyle products, the platform needed comprehensive GA4 event tracking to enable data-driven decision making, optimize conversion funnels, and improve marketing ROI.
We implemented comprehensive GA4 event tracking across all critical touchpoints — including enhanced e-commerce events, conversion funnel tracking, cross-brand navigation patterns, and advanced user behavior analytics — giving Raymond's marketing, product, and leadership teams complete visibility into their customer journey for the first time.
Three people were making important decisions without the data to support them well — a marketing director allocating budget without attribution clarity, a product manager optimizing funnels with aggregate data only, and a brand head of a premium multi-brand platform with no behavioral visibility.
Marketing directors running multi-crore campaigns across Google, Meta, and email for several premium brands were forced to make budget decisions on last-click attribution alone — with no cross-channel visibility into which campaigns were genuinely driving purchase intent across a multi-session, multi-device customer journey.
📊 Multi-crore marketing budget allocated on incomplete attribution dataProduct managers could see checkout drop-off in aggregate conversion rates but had no step-level visibility into where in the funnel it was occurring — or which brand was most affected — making it impossible to identify and fix the specific cause.
🔍 Checkout drop-off visible in aggregates but step-level cause impossible to identifyE-commerce leaders operating multi-brand platforms had no visibility into brand-specific user behavior — cross-brand navigation patterns, where discovery happened between brands, and which brand's customers carried the highest lifetime value were all entirely invisible in aggregate reporting.
🏷️ Multi-brand behavioral data invisible — cross-brand patterns and brand-level LTV unknownMyRaymond's multi-brand architecture created a complex analytics challenge. Standard page view tracking couldn't reveal how customers moved between Raymond and Park Avenue collections, what drove cross-brand discovery, or which brand interactions preceded purchase. Priyanka's funnel optimization work was constrained by aggregate data that pointed to a problem without revealing its location — the checkout drop-off was visible in the overall conversion rate, but not in any specific funnel step.
Kabir's attribution problem was compounded by the premium fashion context: customers buying Raymond formalwear often research across multiple sessions and multiple devices before purchasing. Last-click attribution systematically misattributed conversions to the final touchpoint and systematically undervalued the awareness and consideration touchpoints that actually drove the purchase decision. Ashish needed brand-level behavioral intelligence that multi-brand GA4 implementation could provide — but hadn't yet.
“A premium multi-brand platform making marketing and product decisions in near-darkness — while managing a catalog that warranted sophisticated behavioral intelligence.”
GA4 implementation gave Kabir attribution data he could act on, gave Priyanka the step-level funnel clarity she needed to optimize, and gave Ashish the brand-level intelligence a premium multi-brand platform requires.
Implemented full GA4 event tracking across all critical user interactions — view_item, add_to_cart, begin_checkout, purchase, and custom events for scroll depth, engagement, and cross-brand navigation patterns.
SustainabilityConfigured enhanced e-commerce events enabling granular tracking of the entire purchase journey — from first product view through to order confirmation, with every intermediate step tracked and attributable.
SustainabilityBuilt conversion funnel tracking with step-level event granularity — Priyanka can now see exactly where users abandon across each brand's checkout funnel, enabling targeted optimization rather than broad guesses.
Human-CentricityImplemented brand-level event segmentation enabling Ashish to analyze behavior independently across Raymond, Park Avenue, ColorPlus, Parx, and Sleepz — plus cross-brand discovery and navigation patterns.
ResilienceIntegrated scroll depth tracking, engagement time metrics, cross-device user journey stitching, and session quality measurement — giving Kabir and Priyanka the full behavioral picture for each campaign and product decision.
SustainabilityConfigured GA4's attribution models to surface multi-touch channel contribution — enabling Kabir to move beyond last-click attribution and understand the true role of awareness and consideration campaigns in driving premium fashion purchase decisions.
Human-CentricityKabir's attribution data reveals the true contribution of awareness channels to premium fashion conversions — multi-session, multi-device journeys that last-click attribution was systematically misrepresenting. Budget follows truth rather than assumption.
Priyanka identifies the exact checkout step causing abandonment for each brand — Park Avenue customers drop at shipping, Raymond customers drop at payment method. Each problem gets a targeted fix rather than a broad, ineffective solution.
Ashish analyzes Raymond Group's e-commerce operation with brand-level granularity — which brand has the highest repeat purchase rate, where cross-brand discovery is highest, and which customer segments show the most valuable LTV patterns.
The GA4 implementation becomes a permanent analytical foundation — every new campaign, product, and feature is measured with the same granularity, giving Raymond a compounding analytical advantage as the platform grows.
GA4 event tracking for multi-brand retail platforms — step-level funnel visibility, enhanced e-commerce events, and attribution modeling that reflects how premium fashion customers actually buy.