Omnisales

True growth requires full visibility

Capture fully integrated online and offline sales data to unlock the value of true omnichannel measurement. NielsenIQ’s proprietary deduplication and category harmonization methodologies eliminate redundancies, offering a clean, trusted view of your entire sales landscape. Save time and gain clarity with enriched insights that go beyond fragmented data.

  • Track e-commerce’s impact on total share
  • Close blind spots with comprehensive measurement
  • Improve efficiency with one data source
Product Description
Product Description

Accurately measure the total market

Understanding omnichannel sales and share often requires combining multiple data sets, which can result in double-counting sales figures as well as the tedious processes of aligning definitions and disparate data sets. With NielsenIQ’s proprietary deduplication and category harmonization methodologies, you can avoid the guesswork in data integration and instead focus on the results of clean, clear data.

Key features
Key features

1

Comprehensive omni view

Close current blind spots in total omni market measurement with a side-by-side view of actual sales dollars across online and offline channels. Get the complete picture that fuels better sales analytics.

2

Precision you can trust

NielsenIQ’s proprietary deduplication methodology aligns POS and panel data to improve quality and provide trusted trending data. This is what sets us apart in the world of omnichannel measurement.

3

Consolidated data source

Augment trusted RMS data with broad omnichannel coverage to seamlessly—and efficiently—understand your total performance through a broad, in-depth picture.

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.

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Frequently Asked Questions

How can brands unify fragmented online and offline sales data into one view?

Omnisales combines retail POS, e-commerce, and consumer data into a single, deduplicated view of total market sales. Embedded machine learning automates data integration and harmonization, eliminating double counting and ensuring one consistent number across channels.
Built on a robust and consistent framework, it delivers comparable sales, share, and growth metrics. This helps businesses understand where consumers buy, track performance across channels, and make more confident decisions based on a complete market view.

How does Omnisales help brands analyze omnichannel performance across channels?

Omnisales helps brands analyze omnichannel performance by unifying online and offline sales data into a single view. This eliminates silos and ensures consistent comparison across retailers, channels, and fulfillment types.
AI analytics identify patterns and surface consistent performance trends across the market.This allows brands to distinguish true incremental growth from channel shifting and make more informed decisions based on a unified, total market view.

What are the key use cases of Omnisales for ecommerce and omnichannel growth?

Omnisales supports key use cases to drive ecommerce and omnichannel growth. It provides insights across direct-to-consumer (DTC), pure players, specialists, and emerging e-retailers. Brands can develop channel-specific strategies across online and in-store, benchmark performance and market share versus competitors, and identify new and emerging brands and trends. It also helps analyze how product attributes impact performance to optimize assortment and growth.

How can brands track competitors and identify new brands?

Omnisales provides a complete view of competitive performance across online and offline channels by combining multiple data sources into a unified total market view.
This enables brands to track overall performance and identify new and emerging competitors, including long-tail brands that are often missed in fragmented data. This helps organizations stay ahead of market shifts and make more informed decisions based on a clear and comprehensive view of the competitive landscape.

How does Omnisales support sales teams and negotiations with retailers?

Omnisales provides accurate, consistent data on brand and competitor performance across retailers and channels. This enables sales teams to support negotiations with fact-based insights, track KPIs, and make more informed decisions without relying on incomplete or fragmented data.

How does Omnisales support distribution and assortment decisions?

Omnisales supports distribution and assortment decisions by providing a clear view of sales and share across retailers and channels. This helps identify gaps in distribution, unmet demand, and opportunities for growth.
By quantifying performance across the total market, brands can prioritize actions based on data and improve availability, optimize assortments, and drive incremental growth.

Why is Omnisales considered a decision-grade solution?

Omnisales is a decision-grade solution because it provides a consistent and standardized view of total market performance across channels. By delivering one unified and trusted source of sales and share data, it reduces discrepancies and simplifies decision-making.
This enables teams across functions—from sales and category management to marketing and insights—to align on a single version of the truth and make more confident decisions, from day-to-day execution to strategic planning.

How is Omnisales different from traditional retail and omnichannel measurement?

Traditional retail measurement focuses mainly on in-store sales and provides a partial view of market performance. Omnisales combines online and offline data into a single, unified framework to deliver a complete view of total market sales.
By integrating multiple data sources and applying consistent measurement, Omnisales helps businesses understand how consumers shop across channels and respond more effectively to changing market dynamics.