You can't improve
what you can't see
India's first Ads incrementality measurement platform, backed by expert advisory and deployed on 25 of India's most ambitious consumer brands.
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What Truelift delivers
Why Growth-focused leaders are choosing Truelift
“We turn to TrueLift to answer our hardest questions on incrementality measurement. Their models have helped us uncover growth strategies invisible to click attribution. On key accounts, TrueLift insights gave us the confidence to fundamentally rethink our media deployment — delivering significant ROI impact for clients.”
“TrueLift's incrementality-driven insights played a pivotal role in shaping our quick commerce growth strategy. By accurately measuring the true impact of our advertising, the platform helped us reallocate nearly 50% of our marketing budget to higher-performing channels. The result was an immediate 20% uplift in overall sales. Incrementality thinking has since shaped how we deploy ad spends as we scale to a ₹200 Cr+ Business.”
“Truelift helped us understand the true impact of Digital ads on store visits and sales. We redistributed ad spends on specific digital campaign as recommended and this yielded 8% incremental uptick in footfalls and 7% increase in sales in consequent months.”
Real time incrementality metrics
Cutting edge features
Measure. Learn. Grow.
Incremental lift
The true ROAS each channel earns, platform inflation stripped out.
Always-on calibration
Every model output traces back to a live experiment.
Synthetic lift experiments
Matched-market tests with a synthetic twin, plus pre-test power and calibration checks.
Budget recommender
Same budget, reallocated by marginal return for more sales.
Scenario planner
Forecast outcomes before you spend a rupee, with calibrated confidence bands.
Advisory support
Ex-Meta and Amazon measurement specialists running the monthly cadence with you.
Every rupee - online and offline.
Most tools measure only the walled gardens. TrueLift sees everywhere you sell and advertise.
Every ad platform grades its own homework. Each one counts conversions that so much as touched an ad, including the sales that would have happened anyway, and reports them back as if the ad caused them. That inflation is not small: it routinely runs 40 to 60% of the numbers your platforms show you, and it is exactly where wasted and misallocated budget hides.
TrueLift measures true incrementality instead, the sales that genuinely would not have occurred without the ad, across every channel you sell and advertise on. When the credit platforms take but did not earn is stripped away, budget stops flowing to whatever claims the most conversions and starts flowing to what actually drives growth. You spend the same, and more of it works.
Channels do not work in isolation. A brand campaign or a Meta push can quietly lift your quick-commerce and offline sales while showing weak direct return in its own dashboard, a halo effect that last-click attribution is completely blind to. Judged on its own reported numbers, a channel like this looks like a candidate to cut, when in reality it is doing some of your heaviest lifting.
Because TrueLift measures online and offline together through geo-lift experiments, these hidden spillovers finally become visible and quantifiable. You can see, for example, that pausing Meta pulls D2C down while scaling it lifts quick-commerce, one true cross-channel halo that no siloed platform report would ever surface. The payoff is simple: you stop underfunding the channels that are secretly driving growth and stop overpaying the ones that only look good in isolation.
Offline retail, TV and print have long been treated as unmeasurable, so most tools quietly leave them out of the picture entirely. That is a problem when a meaningful share of your sales and your spend lives there, because it means you are optimizing only the half of your business that happens to be easy to track.
Using matched-market geo experiments and synthetic controls, TrueLift quantifies what these channels actually contribute, without needing store-level tracking on every shelf. We split markets into comparable groups, model a synthetic twin for each test market, and read the gap between what actually happened and what would have happened anyway. The result is genuine 100% measurement coverage, putting every rupee of spend, online and offline, on the same evidence footing so nothing gets a free pass and nothing gets unfairly cut.