Eight Performance Insights Retailers Demand From CPG Brands of All Sizes

Retailers don’t want opinions; they want proof of value. And for small and medium‑sized businesses (SMBs), every retailer touchpoint counts. While large vendors dominate buyer calendars, SMBs may only secure a quarterly meeting — unless they pay for additional visibility through loyalty, media, or promotional programs.

That’s why SMB founders, brand leads, and category managers must know their business fundamentals inside and out. Point‑of‑sale (POS) data is the most objective way to achieve this. It answers critical questions about where you’re winning, where you’re slipping, and what actions will drive value for you and your retail partners. These aren’t “nice-to-know” insights; they’re the backbone of every credible retailer conversation and every well‑run business.

What is Point-of-Sale (POS) Data?

POS data is the record of verified transactions captured at checkout — SKU by SKU, store by store, week by week. It shows exactly what shoppers bought, where, at what price, and under which promotion, across retailers and channels.

For lean SMB teams, POS data provides the much-needed external view of performance you can’t get from internal sales alone — where you’re winning, where you’re falling behind, and which retailers or regions hold the most potential. POS data shows where you stand today and exactly where to focus next, so growth becomes intentional, not reactive.

Types of POS data sources

• Retailer Direct Data: Data provided directly by a specific retailer or chain to their suppliers. It only covers that specific retailer's stores, not the entire market.

• Syndicated Data: Aggregated across major retailers, syndicated data provides a market‑level lens — ideal for understanding your competitive position and overall category trends.

What is census‑based POS data and why is it important?

Census‑based POS data reflects actual transactions from retailers’ checkout systems, not modeled estimates. Because it captures nearly all scanned sales, it provides a clearer picture of real shopper demand and reduces the uncertainty and bias that comes with projected datasets. In practice, it gives brands a more accurate read of what is happening across the market. Circana’s MULO+ universe, for example, is built on 91% census POS data, offering brands with a reliable, market-wide “truth set” for performance measurement.

Why is retailer coverage crucial for understanding your category?

To understand real category growth and competitive shifts, you need visibility across every major channel, not just a select few. Shoppers move fluidly between grocery, drug, mass, club, dollar, military, and e‑commerce, and your data should reflect that. Circana’s MULO+ is the largest expansion of multi-outlet data since 2011, uniting all major retailers across these channels and providing a single, unified view of your category.

What are the risks of relying on single‑retailer or partial‑coverage datasets?

Relying on one or a handful of retailers creates data blind spots that can lead to:

• Misleading category performance reads: One retailer’s trends may not reflect broader market realities, especially if that retailer skews toward a different demographic or price tier.

• Incorrect competitive benchmarking: Competitors may be growing in other channels you can’t see, causing you to underestimate threats or overestimate your own momentum.

• Poorly targeted activation strategies: Without full‑market visibility, you might invest in the wrong regions, price points, or promotional tactics.

• Overreliance on modeled data: Partial coverage forces heavier projection, increasing bias and reducing accuracy. 

How does MULO+ differ from other measurement universes?

MULO+ is Circana’s expanded multi‑outlet universe, offering the broadest and most accurate CPG retail measurement available today. It includes:

• All major brick‑and‑mortar channels — food, drug, mass, club, dollar, military.

• Specialty beauty and all major e‑commerce retailers.

• 90–91% census‑based POS for core CPG sales. 

• Weekly, comprehensive sales updates for both public and private retailers.

• The depth required for omnichannel analysis within a single solution

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Compared to other providers and legacy definitions, MULO+ delivers a more complete, more accurate, and less biased truth set for performance measurement.

Why is channel-split visibility (brick-and-mortar vs. e‑comm) a critical advantage in POS data?

Today’s retail landscape is omnichannel, and online and in‑store sales often follow different patterns. Combining them into a single number can obscure what’s really happening. Channel splits help you understand:

• Which parts of your business are driving growth.

• How shopper behavior differs between channels.

• Where pricing or distribution strategies need to diverge. 

This separation brings clarity to omnichannel performance and supports decisions that reflect how consumers actually shop today. MULO+ provides refined brick‑and‑mortar versus e‑commerce splits, breaking out $1.1T in CPG sales to help you optimize investments and tailor strategies by channel.

Eight Essential Business Performance Questions POS Data Answers for You

1) Where is your sales velocity strongest, and is it defendable?

Pull dollar and unit sales, velocity (units sold per store per week) across banners and channels, and compare period-over-period trends to understand where your momentum is real and replicable.

Example Insight and Action: Your brand grows dollar sales in grocery but remains flat in convenience. This suggests strengths in one channel you may be able to mirror elsewhere. For example, you could explore replicating the winning mix of price, promo, and placement in similar banners, while testing targeted adjustments in convenience — such as improving shelf visibility, refreshing product content, or experimenting with pack changes.

2) Are you gaining or losing share — where and to whom?

Review dollar and unit share by category, region, and retailer, plus share change versus last period and versus top competitors to understand where you're gaining traction — or falling behind.

Example Insight and Action: Your brand's unit share drops two points in the Northeast while rivals gain. This indicates competitive pressure that you may be able to counter and regain share. For example, you could test regional promotions, explore pack or price adjustments, or strengthen facings for priority SKUs to regain momentum.

3) Is your price and promotion strategy driving profitable lift — or just discounting?

Analyze baseline vs promoted sales, promotional lift, ROI by region and retailer, and timing effectiveness to understand where spend works hardest.

Example Insight and Action: Midwest promotions deliver strong lift but weaker ROI due to deeper discounting. This suggests an opportunity to optimize your promotional spend. For instance, you could explore shifting investment to higher‑ROI regions and timing activations around peak demand weeks.

4) Where are you overpriced or underpriced relative to your competitors?

Analyze price gaps, promo ladders, and price elasticity to ensure you’re not overpriced (risking volume) or underpriced (leaving margin behind).Example Insight and Action: At a major national retailer, your flagship SKU is priced above the competitive average, and velocity is lower than in comparable banners with smaller price gaps. This points to a potential price‑value disconnect. For example, you might test refinements to your price‑pack architecture or adjust promotion depth to better align with shopper expectations and maintain a healthy price position.

5) Do you have assortment or distribution gaps limiting growth?

Check %ACV distribution, item count, weighted distribution, and out-of-stock rates to find missing presence or thin assortments.

Example Insight and Action: You notice two regional retailers are stocking only half of your agreed‑upon assortment, signaling missed volume potential. You could address this by bringing performance proof to demonstrate demand and exploring opportunities to add the missing SKUs or secure additional facings.

6) Where will closing gaps deliver the biggest upside?

Rank brands and SKUs by retailer and channel, quantify gap-to-leader and headroom, and identify retailer-specific opportunities where your rank is lower.

Example Insight and Action: Your brand ranks #3 in convenience but #7 in grocery, even though the category size is similar in both channels, and grocery represents a far larger share of category sales. This suggests an untapped upside in a high‑value channel. For example, you could analyze underlying drivers — distribution, pricing, promo support, or assortment fit, and test targeted improvements to close the gap.

7) What seasonal or event‑driven spikes can you bank on?

Review 52‑week patterns by subcategory/SKU, pre‑ and post‑holiday lifts, weather or sports adjacencies (if applicable) or category-specific cycles.

Example Insight and Action: Your multipack SKU sees a significant volume lift during back‑to‑school weeks, but current display support is concentrated in late summer missing the true demand peak. This highlights an opportunity to better align activation timing with shopper behavior. For instance, you could load in earlier, secure displays, and feature the SKU during those high‑demand weeks.

8) Which region and banner show the greatest headroom for growth?

Look at market‑by‑market velocity and share vs. distribution, whitespace heatmaps.

Example Insight and Action: In one region, velocity is well above the national average despite lower distribution, signaling strong latent demand. You could explore expanding distribution in similar markets and scheduling supporting promotions to accelerate rate of sale and capture that upside.

The Advantage of Always Knowing Your Numbers

Always knowing the answers to these questions, not just before a retailer meeting, transforms how SMB brands operate. POS data gives clarity, confidence, and credibility, making you a better partner to retailers and ensuring every conversation is grounded in value.

Ready to put actionable data behind your next decision? Explore Liquid Data Go® and see how performance and category insights can strengthen your strategy and accelerate growth. Designed for SMBs at any stage of their analytics journey, Liquid Data Go provides best‑practice, pre‑built reports covering sales, share, pricing, promotion, and distribution metrics — no customization, no manual work, no heavy lift required. Built on the MULO+ universe, the industry’s most comprehensive census‑based POS measurement, it delivers a complete, market‑level read you simply can’t get from internal data alone or a single-retailer view.