Fieldstream
Financials
Estimates*
USD | 2022 | 2023 |
---|---|---|
Revenues | <1m | <1m |
% growth | - | 33 % |
Date | Investors | Amount | Round |
---|---|---|---|
SEK3.0m | Seed | ||
N/A | SEK4.0m | Seed | |
N/A | $700k | Seed | |
N/A | $320k | Seed | |
Total Funding | CAD2.5m |
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Recent News about Fieldstream
EditFieldstream.ai is a startup that offers an AI-based marketing analytics platform. This platform is designed to help businesses make smarter decisions about how to grow and achieve their key performance indicators (KPIs). The platform measures the impact of marketing activities over time, evaluates the efficiency of each media channel, and helps create the optimal media mix. It also allows businesses to plan and predict future marketing investments.
Fieldstream.ai serves a wide range of clients, from small businesses to large corporations, operating in various markets. The company's business model is based on providing a fully automated platform that allows for easy access to a powerful analytics engine. Clients connect their data, run the model, and unlock the potential of their marketing data. The platform also features a comprehensive dashboard that provides insights and allows for easy understanding of outputs.
The startup makes money by charging clients for access to its platform and the analytics services it provides. The predictive analytics tool lets clients plan, forecast, and check their marketing performance. It also allows for tracking of ongoing campaign performance, planning and forecasting of marketing scenarios, and comparing predicted plans towards actual outcomes.
Fieldstream.ai's platform combines Marketing Mix Modelling, Bayesian principles, and machine learning to provide a holistic view of the impact of media and non-media channels on key KPIs. It also takes into account other factors such as holidays, seasonality, branding effects, etc. This empowers businesses to make smarter decisions about future budget allocation, ensuring a better return on investment.
Keywords: AI-based marketing analytics, key performance indicators, media mix, predictive analytics, marketing performance, Marketing Mix Modelling, Bayesian principles, machine learning, budget allocation, return on investment.