Trailytics
The Commerce Growth Journey

How To Win The Commerce Growth Journey

A unified intelligence framework that connects forecasting, discoverability, conversion, promotions, and retention into one measurable growth engine.

Consumers are already signalling this shift:

Google/Ipsos Global Consumer Journeys, Dec 2025
71%

expecting personalised interactions.

77%

of AI users reporting a shorter path from discovery to purchase.

Commerce growth in action across the city
The Platform

From commerce signals to measurable growth

A glimpse of our MMM Conceptualization

Marketing Spend Factors
Adwords
SVOD
YouTube
Facebook
Instagram/Twitter /Social
E-Comm/D2C
Print
TV
Radio
OOH
Cinema
Dealership POPs
Awareness
Consideration
Intent
Purchase
Unaided Awareness
Brand Imagery
Consideration
Enquiries
Sales
Key Performance Indicators (Brand and Business)
External Factors
Competition
Seasonality
Macro-economic
Other Factors
Product, Price, Availability, Showroom nearby, Service center Nearby, Reference

The Analytics & Intelligence Platform for Retail and Ecommerce

Trailytics transforms fragmented commerce data into AI-powered intelligence, enabling brands to improve discoverability, availability, conversion, profitability, and long-term growth.

Purpose-Built Intelligence for Every Stage of the Commerce Journey

Every commerce function generates valuable insights, but disconnected tools create disconnected decisions. Trailytics delivers specialized AI products for each stage of the commerce journey, helping brands connect insights, optimize execution, and accelerate growth.

Measurement Intelligence

One measurement system, built on three connected layers

Incrementality testing, marketing mix modeling, and attribution correction work together as one always-on system — each layer continuously strengthening the accuracy of the others.

01  Incrementality Testing
The Causal Layer
Incrementality Testing

Geo Lift tests, Conversion Lift studies, and A/B experiments are brought together in a centralized experimentation framework. This establishes reliable causal evidence, with every test continuously strengthening future measurement accuracy and optimization decisions.

02  Marketing Mix Modeling
The Integration Layer
Marketing Mix Modeling

An always-on Causal Bayesian MMM combines media, sales, promotions, and external factors to uncover the true drivers of business performance. By filling the gaps that experiments cannot cover, it continuously measures incremental impact and guides smarter investment decisions across channels.

03  Attribution Correction
The Execution Layer
Attribution Correction

Attribution is continuously refined using calibration factors derived from Marketing Mix Modeling and controlled experiments. This provides a more accurate view of channel contribution, enabling better campaign optimization and more reliable measurement of incremental ROAS at both the campaign and ad-set level.

Connected Commerce Journey

How Trailytics powers the connected commerce journey

AnalyzeOptimizeExecuteMeasureGrow

Trailytics transforms fragmented commerce signals into connected intelligence — helping brands analyze performance, optimize decisions, execute with confidence, measure business impact, and continuously accelerate growth across every stage of the commerce journey.

Blended ROAS
9.85x
Live-blend across platforms
Total Ad Spend
₹10.64L
Across 2 platforms
Ad-Attributed GMV
₹1.05Cr
Net company revenue
Reallocatable Waste
₹2.35L
7 weak live campaigns (4 data-gap)
Biggest Opportunity This Month

Move ₹86.7K from Blinkit – Unmapped / Unknown (2.37x) Instamart – Unmapped / Unknown (8.49x) — est. +₹5.30L ad-GMV.

Weakest channel: Instamart at 8.49x ROAS — its conversion rate lags peers most. Full reallocation ≈ 10.35% blended ROAS (directional).

Efficiency Quadrant
Spend vs ROAS ( = GMV ÷ spend) • Bubble size = GMV
0x
3x
6x
9x
12x
Blended ROAS
9.85x
High ROAS
High Spend
Keep scaling
Low ROAS
Low Spend
Monitor
Low ROAS
High Spend
Fix or cut
Blinkit
9.57x
Instamart
9.48x
BigBasket
8.39x
Zepto
8.04x
Flipkart
1.88x
Google
1.03x
Amazon
1.47x
Meta
2.60x
Influencer
2.48x
OTT
2.14x
₹0
₹7.50L
₹15.00L
₹22.50L
₹30.00L
Ad Spend (₹)
ROAS (x)
ROAS by Platform
Ad-attributed GMV ÷ spend • Dashed line = blended ROAS
Blinkit
9.57x
Instamart
9.48x
BigBasket
8.39x
Zepto
8.04x
Meta
2.60x
Influencer
2.48x
OTT
2.14x
Flipkart
1.88x
Amazon
1.47x
Google
1.03x
0x3x6x9x12x
Blended ROAS: 9.85x
Key Takeaway

Top 4 quick-commerce platforms (Blinkit, Instamart, BigBasket, Zepto) deliver superior ROAS (8.04x–9.57x) on low spend — scale investment. Lower-ROAS channels, especially OTT, Meta, and Influencer, need optimization or budget reallocation.

Reallocating ₹86.7K unlocks an estimated +₹5.30L ad-GMV uplift.

Ready to win the commerce growth journey?