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VideoMining logo — VideoMining is a market research firm that specializes in Be...

VideoMining

VideoMining is a market research firm that specializes in Behavioral Shopper Insights.

Founded 2000 United States State College, United States 36 employees Series A Total: $2.00M Analytics, Food and Beverage +2

General Information

Company Name VideoMining
Founded Year 2000
Location United States State College, United States +1
Employees 36
Industries Analytics, Food and Beverage, Manufacturing +1
Funding Stage Series A
Social

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About VideoMining

VideoMining, founded in 2000, is a market research firm headquartered in the United States that excels in providing Behavioral Shopper Insights through the fusion of patented AI technology and behavioral science. Specializing in Analytics, Food and Beverage, Manufacturing, and Retail industries, VideoMining offers an unparalleled view into the in-store shopper experience using proprietary AI behavior sensors and advanced computer vision technology.

With a robust suite of solutions, the company supports retail and CPG marketers by eliminating blind spots in retail analytics and facilitating growth across Retail Innovation, Category Management, Shopper Marketing, Experience Optimization, and Brand Strategy. The company’s long-standing industry presence is evidenced by over 50 patents and a proven track record with top brands. VideoMining's last documented investment was a $2.00M Debt Financing round on 14 June 2013.

Taxonomy: Market Research, AI Technology, Behavioral Science, Shopper Behavior Insights, Retail Innovation, Category Management, Shopper Marketing, Brand Marketing, CPG, Retail Analytics, In-Store Intelligence Solutions, Automated Observational Research, Shopper-Centric Retailing, Retailer, Data-Driven Strategies

Services & Products

Behavioral Shopper Insights
Retail Analytics
Shopper Research
Category Management
Shopper Marketing
Retail Innovation
In-store Experience Audit

Target Customers

Consumer Packaged Goods Companies Brick-and-Mortar Retailers Brand Marketers Category Managers Retail Designers Shopper Marketing Professionals Retail Innovators

Funding Rounds & Investors (1)

View All
Funding Stage Amount Investors Lead Investors Date
Debt Financing •••••• - 01 Jun 2013

Latest News

View All
RTD Alcohol Sales Rise — Cspdailynews.com
RTD Alcohol Sales Rise
Cspdailynews.com Sep 16, 2021
Merchandising Strategies Shift With Rise of Self-Checkout — Csnews.com
Merchandising Strategies Shift With Rise of Self-Checkout
Csnews.com Aug 29, 2022
Self-checkout is now the dominant checkout format in grocery, study says — Grocerydive.com
Self-checkout is now the dominant checkout format in grocery, study says
Grocerydive.com Apr 26, 2023
‘The center store delivers,’ but opportunity ‘remains largely untapped’ — Cspdailynews.com
‘The center store delivers,’ but opportunity ‘remains largely untapped’
Cspdailynews.com Sep 11, 2025

VideoMining Alternatives & Competitors

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VideoMining vs
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VideoMining vs
Ourcart
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FAQ About VideoMining

VideoMining is a market research firm that specializes in Behavioral Shopper Insights.
VideoMining was founded in 2000.
VideoMining is headquartered in State College, United States.
VideoMining operates in the following industries: Analytics, Food and Beverage, Manufacturing, Retail.
VideoMining has approximately 36 employees.
VideoMining has completed 1 funding round, raising a total of $2.00M. The latest funding stage is Series A.
VideoMining offers: Behavioral Shopper Insights, Retail Analytics, Shopper Research, Category Management, Shopper Marketing, Retail Innovation, In-store Experience Audit.
Top alternatives and competitors to VideoMining include Envirosell, Explorer Research, Ourcart, Standard AI, Street Source Marketing & Communications. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
VideoMining and Envirosell are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

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