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Scout helps CPG sales teams turn POS data, such as syndicated data, into distribution wins by showing what’s really happening at shelf: where you’re under-distributed, where velocity is strong enough to justify expansion, and where you’re paying for placement that isn’t paying you back.
If you’re trying to increase sales and grow a CPG brand, distribution decisions need to be optimized. From internal strategy to buyer conversations, Scout gives you that story.
The distribution problem most brands have
Most hands struggle with decisions:
- Should we push for more ACV, or fix velocity first?
- Which accounts should we target for distribution expansion discussions?
- Are we losing because we're missing doors or because our velocity is low?
- What is the simplest proof a buyer will trust?
The hard part is connecting the dots across data CPG sales inputs, retailer realities, and internal priorities without spending all week in spreadsheets.
What Scout does to help calculate distribution
Scout automatically organizes your distribution and performance data in minutes. ACV helps you understand how much of the category you're in, and velocity answers how well you perform where you exist.
Scout puts them side-by-side so you can see:
1) Where you're ready to expand distribution due to strong velocity and low ACV. Performance is consistent across time, region, or banners. Buyers will like this story too because increasing high velocity products will also increase their incremental dollars.
2) Where distribution is high but velocity is weak.
This means the item is at risk of being deprioritized or cut. Scout will help you diagnose whether the fix is price pack architecture, promotional strategy, shelving placement, a line review story that uses a customized view of the category, or execution.
3) Quiet wins you can scale
Sometimes the best expansions start small. One region is outperforming, one banner is beating the average, one pack size is the hero. Scout highlights these patterns so you can scale what's working with confidence.
Use Scout to have better buyer conversations
Brands use scout to craft buyer-ready narratives built on POS and syndicated data (SPINS, NielsenIQ, etc.) that are logical:
- "We're outperforming the set even with low promotions"
- "Here's the velocity you'd expect at a higher ACV"
- "Here are the stores and regions where this already works"
- "This distribution expansion will give you $x per month"
These are tactics our customers use to get Whole Foods buyers and other retail decision-makers interested. They want performance, productivity, and category outcomes.
Run smarter promotions that support distribution
Promotions should do one of two things:
1. Prove velocity so you can win more distribution
2. Defend velocity so you can keep the distribution you earned
Scout helps you run smarter promotions by tying promo activity back to velocity that sustains after the deal ends.
Instead of "We ran a promo and it spiked," you can say:
- "Here's the baseline lift and post-promo retention."
- "Here's the velocity by banner and store cluster."
- "Here's where promo drives repeat vs. one-time loading."
Adopt industry best practices with low effort
Before Scout, brands were managing their data in a sub-optimal way:
- Data lives across SPINS exports, retailer portals, and internal sheets
- One person owns the login and logic, and everyone else waits
- The answer changes depending on who last worked on the file
- Buyer prep becomes a last minute sprint every time
Scout replaces this with a system that guarantees reliable visibility and repeatable insights.
Outcomes you can trust
Scout has helped brands:
- Increase sales by focusing distribution pushes where velocity proves it
- Grow consumer products brands by identifying the next best accounts and regions
- Create a confident buyer narrative backed by syndicated data
- Run smarter promotions that support distribution expansion
If your team is already investing in SPINS, Scout makes that investment actually usable.
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CPG Optimization
Data Analytics
Lead Generation
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