What is NielsenIQ Store Execution Segmentation (SES)?

NielsenIQ Store Execution Segmentation (SES) is an AI-powered analytics solution that helps manufacturers and retailers understand, segment, and optimize store execution to drive store sales. By dynamically grouping stores using store-level KPIs, SES reveals executional opportunities and performance drivers that are not visible through static retail measurement alone.

How does SES help improve store sales through better store execution?

SES helps improve store sales by linking store execution KPIs—such as distribution, price, assortment, and rotation—to sales outcomes. AI-enabled segmentation highlights which store execution factors drive higher or lower store sales, enabling targeted actions in the stores that matter most.

How does AI power dynamic store execution segmentation?

AI in Store Execution Segmentation dynamically groups stores using customizable KPIs and performance metrics. These AI-powered groupings allow teams to re-segment markets on demand, test hypotheses, and adapt execution strategies as store conditions and store sales evolve.

What does always-on analytics mean in Store Execution Segmentation?

Always-on analytics in SES means store execution and store sales can be continuously monitored without waiting for ad hoc studies. AI-powered segmentation updates dynamically, enabling real-time insight generation and faster execution decision-making.

Which KPIs can be used to segment stores in SES?

SES allows stores to be segmented using a wide range of store execution KPIs, including category sales, growth, brand share, distribution, price gaps, rotation, and store attributes. AI enables flexible combinations of these metrics to answer specific store sales questions.

Can SES simulate changes to improve store sales?

Yes. SES enables AI-powered scenario simulations that estimate how changes in execution targets—such as distribution or pricing—can affect store sales at both segment and total market levels. This allows teams to quantify impact before acting.

Who uses Store Execution Segmentation and how?

Manufacturers and retailers use SES to prioritize execution focus across store segments. By identifying high-, mid-, and low-performing stores, SES guides resource allocation and execution strategies that lift store sales and strengthen retailer collaboration.

Why is Store Execution Segmentation considered decision-grade?

SES is decision-grade because it is built on NIQ’s gold-standard store-level sales data and explainable AI models. This ensures store execution insights are transparent, consistent, and trusted for high-impact store sales decisions.

Store Execution Segmentation

Maximize efficiency and performance with an unparalleled dynamic market solution

Conventional retail measurement can only go so far

Revolutionize your approach to market sales dynamics. Store Execution Segmentation harnesses the power of dynamic market creation, integrated analytics, and best-in-class store-level data to unlock previously untapped growth opportunities.

Dynamically re-segment data to go beyond retail measurement

Test hypotheses in the moments they matter

Unlock data-driven insights that will fuel growth

Product Description

screenshot of a store ranking customer overview dashboard

Dynamically view performance and elevate opportunities

Harness the power of integrated analytics to simulate market conditions, analyze results, and validate hypotheses in-market. Perform dynamic market analysis by grouping stores based on common key factors, such as category dynamics or product performance, so you can tailor analysis to specific business cases.

Key features

1

Unmatched data

Gold-standard, store-level data serves as the foundation for dynamic market definition. Getting to a deeper level of analytics, specific to manufacturers business needs.

2

Test hypotheses in market

Breakdown the market, experiment and test hypotheses tailored for each business case, focusing tactics on the right store groups.

3

Agile dashboards

Results are displayed in interactive dashboards that pinpoint the market growth drivers and competitive advantages contributing to business success.

How can we help you?

We know that there is no one simple answer to every question. Tell us what your unique situation and needs are, and we’ll work with you to find a solution that makes your life easier.

A smiling Muslim woman checks her item out at a self-checkout lane in a store.

Frequently Asked Questions

What is NielsenIQ Store Execution Segmentation (SES)?: NielsenIQ Store Execution Segmentation (SES) is an AI-powered analytics solution that helps manufacturers and retailers understand, segment, and optimize store execution to drive store sales. By dynamically grouping stores using store-level KPIs, SES reveals executional opportunities and performance drivers that are not visible through static retail measurement alone.
How does SES help improve store sales through better store execution?: SES helps improve store sales by linking store execution KPIs—such as distribution, price, assortment, and rotation—to sales outcomes. AI-enabled segmentation highlights which store execution factors drive higher or lower store sales, enabling targeted actions in the stores that matter most.
How does AI power dynamic store execution segmentation?: AI in Store Execution Segmentation dynamically groups stores using customizable KPIs and performance metrics. These AI-powered groupings allow teams to re-segment markets on demand, test hypotheses, and adapt execution strategies as store conditions and store sales evolve.
What does always-on analytics mean in Store Execution Segmentation?: Always-on analytics in SES means store execution and store sales can be continuously monitored without waiting for ad hoc studies. AI-powered segmentation updates dynamically, enabling real-time insight generation and faster execution decision-making.
Which KPIs can be used to segment stores in SES?: SES allows stores to be segmented using a wide range of store execution KPIs, including category sales, growth, brand share, distribution, price gaps, rotation, and store attributes. AI enables flexible combinations of these metrics to answer specific store sales questions.
Can SES simulate changes to improve store sales?: Yes. SES enables AI-powered scenario simulations that estimate how changes in execution targets—such as distribution or pricing—can affect store sales at both segment and total market levels. This allows teams to quantify impact before acting.
Who uses Store Execution Segmentation and how?: Manufacturers and retailers use SES to prioritize execution focus across store segments. By identifying high-, mid-, and low-performing stores, SES guides resource allocation and execution strategies that lift store sales and strengthen retailer collaboration.
Why is Store Execution Segmentation considered decision-grade?: SES is decision-grade because it is built on NIQ’s gold-standard store-level sales data and explainable AI models. This ensures store execution insights are transparent, consistent, and trusted for high-impact store sales decisions.