BIGATOM by AdYogi: E-Commerce Analytics and SKU-Level ROAS Optimization for AZA

Case Study: Strategies used by Aza Fashions with AdYogi

Table of Content

• Key Results — 01
• Critical Scaling Obstacles for Large Catalogs — 02
• BIGATOM Solution Stack for Product-Level Attribution — 03
• Dynamic Catalog Ad Overlays & Product Badges — 04

Key Results with AdYogi

To achieve product-level ROAS visibility and deploy catalog ad overlays at scale, luxury fashion brand Aza Fashions utilized AdYogi's BIGATOM platform.

• +27% — ROAS Improvement through SKU-level optimization
• 19% — Leakage Saved via stop-loss automation
• 250K+ — SKUs Automated
• 350+ — Global Brands

Testimonial

With AdYogi's BIGATOM, we finally had prouct level visibility across our entire catalog. Automations like stop-loss helped us reduce wasted spend and scale confidently, both during BAU & high pressure sale periods.

CMO
Aza Fashion

Critical Scaling Obstacles

Zero Visibility
Managing 250k items manually led to zero clarity on product-level ROAS and Page Views.

40% Budget Drain
Over-spending on low-potential products due to lack of real-time performance data and unified e-commerce attribution.

Scaling Efficiency Loss
In-ability to scale total spend without seeing a drastic drop in blended ROAS.

Traffic Pulling Blindspots
Non-visibility of "Assist Products" that drive traffic but trigger conversions elsewhere in the catalog.

The BIGATOM Solution Stack by AdYogi

A specialized e-commerce analytics infrastructure built by AdYogi to solve multi-SKU luxury scaling and product-level measurement.

Product Analytics and SKU-Level ROAS Reporting

With a catalog of ~250K products, the brand required clarity on product-level insights and KPIs such as product-level ROAS, Ad Spends, Page Views, and Conversion Rates.

AdYogi's BIGATOM integrated Aza's complete marketing ecosystem, including Meta, Google, Snapchat, and TikTok Ads, GA4, App Data, and Backend Inventory, to analyze performance at a product level to find exactly which items to promote, which to stop, and identify the most popular channel for every SKU.

Native Assisted Revenue Feature: Using AdYogi's product-level attribution, Aza identified products contributing indirect revenue, where users land on Product X but ultimately purchase Product Y. This intelligence protected "traffic pullers" from being accidentally paused, maintaining high-quality site traffic volume.

• Direct: 4.5X
• Assisted: 12.1x
• Direct: 0.8x

01

Product Segmentation

Aza used AdYogi's BIGATOM to achieve strategic marketing goals like giving dedicated budgets to new inventory or high-margin collections.

Segmented products are automatically pushed to Google's Product Groups and Meta's Product Sets directly from the platform.

24% Higher ROAS
From High Potential Groups vs. General Product Sets

[Diagram labels: HIGH POTENTIALS / NON PERFORMERS. Filter panel fields: Where, Select Field, Select Operator, Value. Filters — Metric: Retrieve Special Performance Loss; Attribute: Retrieve Category-Related Product Attributes; Campaign: Retry Google and Snapchat Campaigns. Field options: Product Identifier, Product Category, Product Attributes, Availability, Price, Discounts, Inventory, Profitability. Category options: Category, Category Level 2, Category Level 3, Collections]

02

ROAS Stop-Loss Automation

Using BIGATOM's Stop Loss Automation by AdYogi, Aza Fashions saved 19% of their ad budget by automatically pausing products that didn't meet performance standards.

Exclusion rules were set at different categories & sub categories, removing items that hit a performance plateau or failed after reaching a target spend limit.

Auto-Inclusion: Products auto-resume promotion based on signals like improved conversion rate or organic order count.

Platform-Specific Exclusion: Products performing well on Meta but poorly on Google were removed only from the underperforming platform.

19% Budget Saved
Monthly ad spends saved via automation as budget is recaptured from product-level non-performers.

03

Leveraged Catalog Overlays to Showcase Product Specific Callouts

Challenge
With a large catalog size, it becomes challenging to highlight unique value propositions at the individual product level, limiting the brand's ability to communicate key differentiators effectively across ads.

Solution
Aza Fashions used AdYogi's BigAtom Catalog Overlays to call out different value propositions like exclusively available and ready-to-ship SKUs, showcasing these callouts across 2 Lac+ PIDs.

This level of segmentation enabled tailored callouts on product creatives, improving relevance and driving stronger engagement on ads without requiring manual design updates for each item.

Ad Creative Examples

[Instagram ad: azafashions · Follow · Original audio — "The Big Luxury Sale 70% off" · EXCLUSIVE | aza]

[Instagram ad: azafashions · Follow · Original audio — Ready-To-Ship Picks for Everyone · BLACK FRIDAY SALE IS LIVE · USE CODE: BLACKFRIDAY]

Showcasing value propositions like exclusive and ready to ship products through automated AdYogi catalog overlays.

200k+
PIDs updated with overlays without hassle using AdYogi's dynamic overlays

Used assisted ROAS to Identify "Crowd-Puller" Products Driving Quality Converting Traffic

Challenge
Certain products drive traffic but don't convert, yet they help trigger conversions on other products. E-commerce brands struggle to track this product affinity and co-purchase behavior.

Solution
Through AdYogi's e-commerce analytics and product-level attribution:
- Identified ads that got high-engagement but zero revenue, helping drive potential customers to the website.
- Leveraged such "crowd-puller" products, those that may not convert directly but drive assisted ROAS. Run products with high assisted ROAS in the top and mid-funnel, and focus on products with a high direct ROAS in the bottom funnel.

[Data table — columns: Product Name, Image, Total Spends, Assisted ROAS, Assisted Revenue]

BIGATOM By AdYogi

Brands scaling with AdYogi: Slikk, ZILO, COLLECTIV, Banana Club, The Souled Store, OUTZIDR, bacca bucci, FableStreet, Raymond, underneat, MILTON, lifelong, मलमल, S, aza, JUST HERBS, VERO MODA, Superdry, Westside, Libas, arth By Emcure, NEEMAN S, BOROSIL, MUFTI, Kaya, Rare Rabbit, Reliance Retail, indya, Reebok, NOBERO, गली LABS, Twamev, FILA, Pepe Jeans London, JAYPORE, WROGN, TRAMONTINA, Veirdo, Bewakoof, FRIENDLY DIAMONDS