InternshipFluent

UX research that led Walmart to redesign ad placement

Business Operations Internship, Walmart Connect (WMC) team

TeamIndependently designed and run
TimelineSummer 2026
My roleStudy design, data collection, analysis, and presentation

Context

As a Business Operations Intern on Fluent's Walmart Connect (WMC) team, I kept running into the same open question internally: which advertisers were actually winning placement on Walmart.com's post-checkout page, and was Fluent's own inventory being served the way the team assumed. Rather than wait on secondhand reporting to answer that, I designed and ran an internal research study to find out directly.

The Question

How much of the ad inventory on Walmart's order confirmation page actually belongs to Fluent, and are there usability issues in how that inventory gets served to shoppers?

Methodology

I designed a lightweight but structured data collection process:

45
Participants
21 app / 24 web
14
States represented
76%
Of impressions were Fluent's
4
Issues surfaced in the QA deck

Findings

Of the 93 total ad slots filled across all submissions, Fluent campaigns accounted for the large majority of what shoppers actually saw.

76%
Of all post-checkout ad impressions observed belonged to Fluent campaigns, 71 of 93 total slots
Fluent
76%
Other
24%
Share of post-checkout ad impressions observed (71 of 93 total slots)

Beyond the headline split, the study surfaced four distinct usability issues in how the ad experience was actually being served to shoppers:

Impact

I shared these findings with the WMC team, including the visibility issue showing that a meaningful share of offer-ad inventory was appearing well below the fold, after the checkout confirmation itself. That finding was passed along to Walmart's product team, who moved offer ad placement higher on the page as a direct result.

Reflection

This project taught me that useful research doesn't always require a formal study design. Sometimes the fastest way to answer a real business question is to go collect the data yourself, directly, from real users, rather than waiting on existing reporting to catch up. The honest limitation worth naming: while the study spanned 14 states, a large share of participants were concentrated in just two of them, which likely skewed some of the platform and campaign-level findings. A follow-up study with a more geographically balanced sample would be the natural next step.