NCSolutions
NCSolutions, founded in 2000 and headquartered in New York, is a data analytics firm specializing in consumer packaged goods (CPG) advertising effectiveness.
Profile
Measures advertising effectiveness for consumer brands using purchase data.
NCSolutions, founded in 2000 and headquartered in New York, is a data analytics firm specializing in consumer packaged goods (CPG) advertising effectiveness. The company emerged from Nielsen's spin-off of its marketing solutions division, focusing on leveraging purchase data to optimize ad performance for brands. Its core offering analyzes anonymized consumer transactions to measure campaign impact, helping advertisers refine targeting and media spend.
While financial specifics are undisclosed, NCSolutions operates in a competitive space dominated by Nielsen and IRI, differentiating with proprietary datasets tied to retailer point-of-sale systems. Recent industry shifts toward AI-driven ad attribution have pushed the firm to integrate machine learning into its measurement tools, though it faces pressure from walled-garden platforms like Meta and Google that control first-party data. The 2025-2026 tech layoffs wave impacted adjacent analytics providers, but NCSolutions has maintained client retention by focusing on CPG vertical expertise rather than horizontal expansion.
Who buys this
- CPG manufacturers optimizing ad spend
- Retailers analyzing promotional impact
- Media agencies planning cross-channel campaigns
- Beverage and snack food marketers
- Pharmaceutical OTC product advertisers
Strengths and what to watch
Strengths
- Proprietary access to anonymized retailer transaction data
- Vertical specialization in CPG with decade-plus client relationships
- Integration with major media platforms for closed-loop measurement
Watch for
- Dependence on third-party cookie deprecation timelines
- Competition from retail media networks' first-party data
- Margin pressure as AI tools reduce manual analysis needs
Key Information
- Founded
- 2000
- Headquarters
- New York
Frequently Asked Questions
What does NCSolutions do?
NCSolutions measures advertising effectiveness for consumer brands using anonymized purchase data. Specializing in CPG, it analyzes retail transactions to show how ads drive sales, helping brands optimize media spend. Founded in 2000, it spun off from Nielsen's marketing division and focuses solely on purchase-based attribution.
How does NCSolutions measure ad performance?
The company tracks anonymized consumer purchases tied to ad exposures across platforms. By correlating campaign timing with sales lifts at retailer checkouts, it quantifies impact. Proprietary datasets from point-of-sale systems feed its models, avoiding reliance on surveys or panels common in traditional media measurement.
Who uses NCSolutions' services?
Primary clients include CPG manufacturers, beverage marketers, and OTC pharmaceutical advertisers needing category-specific insights. Retailers use it to gauge promotion effectiveness, while media agencies apply its data for cross-channel planning. The firm serves vertical specialists rather than broad-market advertisers through decade-long CPG relationships.
How does NCSolutions differ from Nielsen?
While both analyze ad effectiveness, NCSolutions focuses narrowly on CPG verticals using retailer transaction data, whereas Nielsen offers broader media measurement. NCSolutions' proprietary POS datasets compete with Nielsen's panel-based approaches, though both face pressure from walled gardens like Meta controlling first-party data.
What are NCSolutions' biggest challenges?
Key risks include third-party cookie deprecation disrupting measurement, retail media networks prioritizing their own first-party data, and AI automation reducing manual analysis revenue. The 2025-2026 tech layoffs impacted analytics firms, but NCSolutions retained clients through CPG specialization rather than horizontal expansion.
Does NCSolutions use AI for ad measurement?
Yes, the firm has integrated machine learning into its tools amid industry shifts toward AI-driven attribution. However, its core advantage remains vertical-specific purchase data from retailers rather than algorithmic sophistication. This balances tech modernization with CPG domain expertise as competitors race toward pure AI solutions.
Sources
- yellowbrick.com — Technical partnership with Yellowbrick for data infrastructure
- www.bloomberg.com — Context on 2026 tech sector layoffs impacting analytics firms
- www.informationweek.com — Industry shift toward AI-driven restructuring in 2025-2026
- skillsyncer.com — Broader tech layoff trends affecting data analytics providers