How to measure marketing ROI in India in 2026: attribution, MMM, and tools

How to accurately measure marketing ROI in India in 2026, attribution models, marketing-mix modelling (MMM), and the tools that work post-iOS 14.5.

Marketing ROI measurement in India in 2026 has split into three layers: last-click (fading), multi-touch attribution (MTA, improving), and marketing-mix modelling (MMM, the rising standard). iOS 14.5 + Android privacy + cookie deprecation are pushing brands towards MMM.

Last-click attribution: still useful but limited

Easy to set up (UTM tracking + GA4). Still tells you which channel got the final click. But misses 30–60% of true causal impact, especially for top-funnel and offline-impacted purchases.

Multi-touch attribution (MTA)

Distributes credit across the full customer journey. Best tools in India: Branch, AppsFlyer (mobile), Triple Whale (D2C), Hyros. Setup: 2–6 weeks. Cost: ₹50K–₹3L/month.

Marketing-mix modelling (MMM)

Statistical model that correlates spend × media × external factors with revenue. Best for brands spending ₹50L+/month. Setup: 8–12 weeks + 6 months of clean data. Cost: ₹5L–₹50L one-time + ₹1L–₹5L/month maintenance.

DGTG's measurement approach

For clients spending ₹15L+/month we set up MTA. For ₹1Cr+/month we layer MMM. We also run incrementality tests (geo-holdout, audience-holdout) every 6 months as ground truth.

More growth guides

Frequently asked questions

Is last-click attribution still useful?

For tactical optimization, yes. For strategic budget allocation across channels, no. Use last-click for daily ops, MMM/incrementality for quarterly strategy.

How much does MMM cost in India?

Build: ₹5L–₹50L one-time. Maintenance: ₹1L–₹5L/month. Justified at ₹1Cr+/month total marketing spend. Below that, MTA + incrementality tests suffice.

Can DGTG run incrementality tests?

Yes, we run geo-holdout, audience-holdout, and synthetic control experiments. Typical test: 4–6 weeks with 70/30 split. Insight: how much of attributed spend is actually causal.