What problems is Stackline solving and how is that benefiting you?
1. Limited Visibility into Competitive Landscape
Problem: It’s hard to understand how competitors are performing across Walmart.com — what they're spending, how their products rank, or where they’re gaining share.
How Stackline Helps:
Tools like Atlas offer deep category-level insights and benchmark data, allowing us to:
Monitor competitive share of voice (SOV)
Spot whitespace and over-saturated categories
Identify aggressive advertiser behavior early
2. Inefficient Retail Media Spend
Problem: Without automation and real-time insights, media dollars can be wasted on underperforming keywords or tactics.
How Stackline Helps:
With Beacon, we can:
Auto-optimize Walmart Connect campaigns in real time
Improve ROAS and reduce wasted spend
Test and scale keyword strategies faster than manual systems allow
3. Digital Shelf Blind Spots
Problem: It’s difficult to monitor and respond to changes in product availability, content compliance, or pricing across thousands of SKUs and retailers.
How Stackline Helps:
Tracks item-level content health and compliance on Walmart.com
Flags stockouts or pricing issues
Provides automated alerts so we can fix problems before sales are impacted
4. Lack of Actionable, Granular Data
Problem: First-party data is scattered and often delayed or difficult to translate into action.
How Stackline Helps:
Unifies sales, search, and shopper data into one platform
Provides near real-time analytics
Enables daily, weekly, and custom reporting to inform decisions
👥 5. Shallow Shopper Understanding
Problem: We had limited tools to understand why shoppers behave the way they do online or how to influence them pre-purchase.
How Stackline Helps:
Shopper OS allows us to run surveys, gather behavioral data, and integrate with loyalty programs
Helps identify key purchase drivers and refine messaging or promotions accordingly Review collected by and hosted on G2.com.
