Customer story
A geo-lift test compared states that saw Universal Ads with matched states that did not.
About Obvi
Obvi scaled from an online wellness brand into a major retail player, including Walmart. But as retail became a meaningful revenue channel, the team looked to increase upper-funnel media investment, including CTV, to support in-store sales. While CTV reach and impressions were easy to measure, its true incremental impact on retail sales was not. As the team considered investing in Universal Ads, a self-service platform for buying and measuring premium CTV advertising, they set out to answer a simple but crucial question:
Can CTV advertising drive measurable, incremental retail sales, and if so, by how much?
A customer perspective
“For the first time, we could see the real impact of CTV on retail sales, not just what we hoped it was driving.”
Ashvin Melwani
CMO and Co-Founder
Brand profile
Industry
Wellness & Functional Nutrition
Media Channels
Meta (Facebook, Instagram), Google, TikTok, Influencer Marketing, Universal Ads (NBC, Peacock, Bravo, USA Network).
Without a clear way to measure the incremental impact of CTV within Obvi’s media mix, the Obvi team didn’t have a full picture of how CTV was actually performing.
They wanted to address these core issues:
To understand whether CTV was driving in-store sales, Obvi partnered with Lifesight to test premium TV via Universal Ads.
Instead of relying solely on platform-reported results, Lifesight’s Incrementality testing (geo-lift experiment) compared regions with heavy CTV exposure to similar regions with little or no exposure. Ads were concentrated in states like Alabama, North Carolina, and Tennessee, while fourteen comparable states, selected through an iterative, rigorous matching process to best represent the treatment market audience at the highest confidence level, served as the control group receiving minimal to no ad spend. This made it possible to see whether sales increased because of CTV or whether those purchases would have happened anyway.
The test focused on Walmart in-store sales, over a seven-week period. By comparing results between exposed and control markets, Obvi could isolate CTV’s true impact while accounting for normal sales patterns and regional differences.
This approach answered the questions that mattered most:
If CTV runs in certain markets, do sales increase more than they would without it?
The experiment was designed to detect a minimum 5% lift in retail sales at a 95% confidence level – statistically significant levels to determine if UA was driving incremental results for Obvi.
Null hypothesis
Universal Ads drives no statistically significant lift (effect = 0).
Alternative hypothesis
Universal Ads drives a statistically significant lift of at least 5% (effect ≥ 5%).
Duration
7-week treatment period.
Methodology
Geo-based experiment using a pre-validated synthetic control model.
Treatment markets
Seven states received heavy Universal Ads exposure: Alabama, Arkansas, North Carolina, Oklahoma, Tennessee, Virginia, and West Virginia.
Control markets
Fourteen comparable states (including Mississippi, Illinois, Washington, Texas, Florida, and Idaho) served as the control group and received minimal to no ad spend.
KPI
Walmart in-store revenue.
After six weeks, the experiment delivered a measurable and statistically significant outcome.
5%
Universal Ads generated a 5% incremental lift in Walmart in-store sales, clearing the pre-defined minimum detectable threshold at 95% confidence.
Before the test, increasing CTV spend meant guessing. After the test, Obvi had confidence in their ability to scale profitably via Universal Ads.
By validating CTV’s impact early, the team was able to:
Instead of guessing and hoping, Obvi can now decide how much to spend on CTV using real data. Brands often invest heavily in upper-funnel channels to see if they will work. Obvi took a different approach.
By testing first, they gained clarity on how CTV fits into their retail growth strategy and built a repeatable way to evaluate future media spend.
Lifesight’s Unified Measurement OS helps teams invest with confidence instead of assumption. To see how Lifesight can help you measure real impact and make smarter growth decisions, book a demo today.
*This case study was developed and published by Lifesight. All performance results reflect Lifesight’s analysis and are not validated by Walmart Connect. Walmart Connect has not reviewed or endorsed this content, and no guarantees of future performance should be inferred.