List of H2O Lead Scoring Customers
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United States
Since 2010, our global team of researchers has been studying H2O Lead Scoring 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 H2O Lead Scoring for ML and Data Science Platforms 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 H2O Lead Scoring for ML and Data Science Platforms include: Dun & Bradstreet, a United States based Professional Services organisation with 6247 employees and revenues of $2.38 billion, Market Share Inc., a United States based Consumer Packaged Goods organisation with 400 employees and revenues of $130.0 million, G5, a United States based Professional Services organisation with 250 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using H2O Lead Scoring, 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 H2O Lead Scoring 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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Dun & Bradstreet | Professional Services | 6247 | $2.4B | United States | H2O.ai | H2O Lead Scoring | ML and Data Science Platforms | 2020 | n/a |
In 2020, Dun & Bradstreet deployed H2O Lead Scoring to advance its company failure score program that predicts the probability a business will go bankrupt within the next 12 months. The H2O Lead Scoring implementation augmented an existing, long-running failure score effort by introducing machine learning model experimentation and automated scoring, and Dun & Bradstreet reported that machine learning delivered additional predictive lift. Chief Analytics Officer Nipa Basu highlighted H2O's ability to customize and build new teams working with Dun & Bradstreet modelers, which supported iterative model development and operationalization.
The implementation centered on core ML and Data Science Platforms capabilities, including feature engineering pipelines, model training and selection, ensemble modeling, and production scoring pipelines. H2O Lead Scoring was configured to support repeatable model runs, versioned model artifacts, and explainability features to surface drivers of failure risk for downstream consumption by analytics and risk teams.
H2O Lead Scoring was embedded into Dun & Bradstreet analytics workflows and operational scoring processes, feeding probabilistic failure scores into business risk and credit decisioning use cases. Operational ownership rested with the analytics organization and modelers, who worked with H2O resources to iterate on models and integrate scoring outputs into downstream underwriting and monitoring processes.
Governance focused on model validation, version control, and production monitoring consistent with enterprise ML practice, with a structured feedback loop between model performance and retraining. The stated outcome was measurable lift in predictive performance for the company failure score, achieved through the H2O Lead Scoring deployment and ongoing collaboration between H2O and Dun & Bradstreet model teams.
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G5 | Professional Services | 250 | $50M | United States | H2O.ai | H2O Lead Scoring | ML and Data Science Platforms | 2018 | n/a |
In 2018, G5 implemented H2O Lead Scoring using H2O.ai technologies for US real estate marketing. G5 used H2O Lead Scoring, an application in the ML and Data Science Platforms category, to automate lead prioritization and to improve leasing agent conversions.
The implementation leveraged H2O Driverless AI with H2O Word2Vec to build automated lead scoring models and to generate features suited to real estate marketing signals. Models were exported as MOJO scoring artifacts and deployed on AWS infrastructure, with data stored in S3, model hosting on EC2, and orchestration via Lambda to operationalize scoring.
Operational coverage focused on US real estate marketing workflows and leasing teams within G5, embedding automated scoring into lead routing and prioritization processes. H2O Lead Scoring delivered greater than 95 percent lead scoring accuracy and approximately 80 percent faster model development timelines, with measurable cost savings reported for customers, while governance centered on automated model generation, Word2Vec feature engineering, and MOJO production scoring for consistent runtime behavior.
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Market Share Inc. | Consumer Packaged Goods | 400 | $130M | United States | H2O.ai | H2O Lead Scoring | ML and Data Science Platforms | 2010 | n/a |
In 2010 Market Share Inc. implemented H2O Lead Scoring into its DecisionCloud offering to deliver predictive and prescriptive marketing analytics for enterprise clients. H2O Lead Scoring is used as part of the companys ML and Data Science Platforms stack to operationalize lead scoring functionality within marketing analytics services across regions.
The implementation focused on scalable model training and automated model refresh for large datasets, configuring H2O Lead Scoring to support both online scoring pipelines and scheduled batch scoring workflows. Functional capability usage emphasized feature engineering, model selection workflows, and runtime orchestration consistent with ML and Data Science Platforms practices.
Integration work centered on embedding H2O Lead Scoring into Market Share Inc.s DecisionCloud, creating a direct scoring API surface for client campaigns and connecting model outputs to the marketing analytics layers used by enterprise clients. Operational coverage included the marketing analytics function and DecisionCloud delivery across regional client deployments, processing large customer and campaign datasets for real-time and near real-time inference.
Governance and operationalization included automated model refresh cycles and production runtime management for the H2O Lead Scoring models, aligning model lifecycle activities with DecisionCloud release and data update schedules. Reported outcomes from the engagement include much faster model runtimes and automated model refresh for large datasets, with models instrumented to support ongoing scoring and prescriptive output within Market Share Inc.s marketing analytics services.
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