List of Causal Customers
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Since 2010, our global team of researchers has been studying Causal 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 Causal for EPM 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 Causal for EPM include: Marley Spoon, a Germany based Consumer Packaged Goods organisation with 1862 employees and revenues of $435.0 million, Branch, a United States based Insurance organisation with 500 employees and revenues of $70.0 million, Humaans, a United Kingdom based Professional Services organisation with 40 employees and revenues of $4.0 million and many others.
Contact us if you need a completed and verified list of companies using Causal, 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 Causal 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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Branch | Insurance | 500 | $70M | United States | Causal | Causal | EPM | 2023 | n/a |
In 2023, Branch implemented Causal for EPM to support finance and FP&A revenue and growth forecasting during rapid US expansion and to enable state-level modelling. The Causal EPM deployment targeted scenario-based forecasting and executive reporting across the finance organization.
The implementation concentrated on building modular financial models and scenario libraries that capture revenue rollups, growth trajectories, and state-level drivers feeding consolidated forecasts. Configuration emphasized real-time calculation and interactive scenario switching to accelerate analysis, with Causal serving as the central forecasting layer for monthly and ad hoc executive reporting. Standard EPM capabilities such as model versioning, sensitivity analysis, and scenario comparison were used to increase traceability and auditability of forecast assumptions.
Operational scope focused on finance and FP&A teams responsible for revenue, growth and executive reporting workflows for Branch's US footprint and state-level planning use cases. Causal was positioned as the finance-facing forecasting system supporting those workflows.
Governance and rollout prioritized finance scenarios and faster executive reporting cadence, with finance owners authoring models and a central model governance process to manage assumptions and versions. According to the vendor case study, the Causal implementation saved the finance team days per month and increased confidence in numbers while delivering faster executive reporting.
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Humaans | Professional Services | 40 | $4M | United Kingdom | Causal | Causal | EPM | 2023 | n/a |
In 2023, Humaans implemented Causal as their EPM solution. The deployment centralized financial and operational numbers into Causal as a single destination, replacing spreadsheets and BI to streamline FP&A and reporting for the UK headquartered HR tech company.
The work centered on finance and headcount planning and reporting, configuring Causal to support financial modeling, scenario analysis, and consolidated operational reporting consistent with EPM functional expectations. Configuration emphasized model consolidation and formula reduction to simplify recurring planning cycles and reduce reliance on spreadsheet formulas.
Operational scope targeted the finance function and headcount planning workflows across the company, aligning planning inputs with monthly reporting processes. Causal was used to unify budget, headcount, and operational metrics into a single model for planners and analysts, improving accessibility of financial and operational numbers.
Governance adjustments included adopting Causal as the single source of truth for budget and headcount numbers and reducing spreadsheet driven calculations. Outcomes reported in the vendor case study include large formula reduction and hours saved for analysts each month, with specific figures documented in the case study.
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Marley Spoon | Consumer Packaged Goods | 1862 | $435M | Germany | Causal | Causal | EPM | 2023 | n/a |
In 2023 Marley Spoon implemented Causal for revenue modelling and scenario planning to improve the accuracy and speed of commercial forecasting across its markets. Causal is an EPM application deployed to centralize FP&A workflows and reduce spreadsheet complexity for finance teams.
Configuration focused on FP&A and revenue modelling capabilities within Causal, embedding scenario planning logic and formula-driven forecasting into structured models. The engagement emphasized consolidating ad hoc spreadsheet workflows into model-based planning and scenario orchestration, using category-aligned features such as driven inputs, scenario toggles, and transparent formula layers typical of EPM deployments.
Operational scope targeted finance and revenue planning teams in the EMEA region, aligning commercial forecasting and finance reporting through a regional rollout. The implementation impacted business functions including finance, commercial planning, and revenue operations by providing shared model access and standardized forecasting processes.
According to the vendor case study, the Causal deployment increased confidence in numbers, reduced spreadsheet complexity, and delivered time savings with fewer error-prone formulas. Governance and rollout concentrated on model ownership within finance, staged adoption across markets, and formalizing ad hoc spreadsheet processes into managed Causal models to improve forecast traceability.
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Buyer Intent: Companies Evaluating Causal
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