List of Black Swan Data Customers
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Since 2010, our global team of researchers has been studying Black Swan Data customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Black Swan Data for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Black Swan Data for Analytics and BI include: PepsiCo, a United States based Consumer Packaged Goods organisation with 319000 employees and revenues of $91.85 billion, Unilever, a United Kingdom based Consumer Packaged Goods organisation with 115964 employees and revenues of $71.27 billion, McDonald’s, a United States based Leisure and Hospitality organisation with 150000 employees and revenues of $25.92 billion and many others.
Contact us if you need a completed and verified list of companies using Black Swan Data, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Black Swan Data customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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McDonald’s | Leisure and Hospitality | 150000 | $25.9B | United States | Mintel | Black Swan Data | Analytics and BI | 2018 | n/a |
In 2018, McDonald’s engaged Black Swan Data to deliver a Marketing and brand insight engagement across McDonald's North America using Analytics and BI capabilities. Black Swan Data was deployed to surface social signals and consumer narratives that could be operationalized for campaign creative and casting.
Black Swan Data applied AI and social-data analysis to surface human insights and emerging trends, using natural language processing and pattern detection to convert unstructured social posts into consumer stories and thematic clusters. These Analytics and BI functions emphasized signal detection, thematic clustering, and narrative extraction to produce creative ready insights for marketing use.
Insights from Black Swan Data were operationalized into the In Common TV and social campaign, with creative briefs and casting choices drawn directly from consumer stories identified in the social-data analysis. The engagement covered marketing, brand strategy, creative development, and casting teams across McDonald's North America.
The work established a repeatable insight to creative workflow where social-data outputs informed casting and narrative decisions, embedding Black Swan Data outputs into campaign planning and creative handoff processes. Governance focused on translating anonymized consumer narratives into briefs and instituting reproducible insight pipelines rather than ad hoc reporting.
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PepsiCo | Consumer Packaged Goods | 319000 | $91.9B | United States | Mintel | Black Swan Data | Analytics and BI | 2015 | n/a |
In 2015 PepsiCo deployed Black Swan Data, an Analytics and BI application, to support marketing and product innovation efforts in the United States. Black Swan Data analyzed social conversations and trend signals to identify opportunity areas in sparkling water, an insight set that underpinned the Bubly product proposition and the brand launch which included an Oscars TV ad and achieved sales exceeding $100 million within 12 months.
The implementation centralized social listening and trend analysis workflows using Black Swan Data, combining natural language processing driven topic extraction, signal aggregation across social sources, and trend detection to surface consumable insight reports for product and marketing teams. Outputs were structured as trend briefs and consumer insight dashboards to guide flavor concepts, positioning language, and go to market creative briefs.
Operationally the deployment was scoped to Marketing and Product Innovation teams in the United States, with insight handoffs into brand planning, creative development, and product formulation workstreams. The Black Swan Data platform served as the primary Analytics and BI feed for trend-oriented decision making, enabling repeatable processes for trend validation and proposition testing across cross functional teams.
Governance emphasized regular insight cadence and a single source of trend truth, with centralized reports driving briefing cycles for new product ideation and launch creative. The implementation linked social-derived trend signals directly to proposition development, translating analytics outputs into product and marketing actions that supported Bubly's market entry and rapid revenue outcome.
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Unilever | Consumer Packaged Goods | 115964 | $71.3B | United Kingdom | Mintel | Black Swan Data | Analytics and BI | 2016 | n/a |
In 2016, Unilever implemented Black Swan Data as an Analytics and BI application to support innovation and product development for its Lipton brand in the United Kingdom. The engagement leveraged natural language processing and trend prediction to detect emergent ingredient signals and prioritize product concepts for Lipton UK.
Black Swan Data was configured to surface consumer signal clusters and forecast trend trajectories, feeding consumer insights dashboards and prioritization workflows used by product teams. Functional capabilities emphasized NLP driven phrase extraction, trend scoring and short term prediction modeling aligned with Analytics and BI functional terminology, enabling systematic ingredient prioritization and concept triage.
Operational scope concentrated on Lipton product development and marketing in the UK, where outputs from Black Swan Data informed concept selection and accelerated development decisions. Governance incorporated the data outputs into stage gate and launch prioritization processes, allowing product managers to act on prioritized trends and fast track high momentum concepts.
Outcomes included the decision to fast track a ready to drink Matcha green tea variant, which became a leading iced tea variant, and the category realized an estimated £11m incremental value within a year. The case demonstrates Black Swan Data and the Analytics and BI application converting NLP and trend prediction signals into concrete product development and commercialization actions.
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Buyer Intent: Companies Evaluating Black Swan Data
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