MarketDial
MarketDial offers a cloud-based platform for in-store A/B testing, enhancing promotions and store productivity through advanced analytics and machine learning.
Services
MarketDial provides a cloud-based software platform that specializes in in-store A/B testing. The platform enables retailers to optimize promotions and increase store productivity through a comprehensive testing solution. Services include data science, deep data analytics, and client services. MarketDial's platform allows users to seamlessly integrate data, build testing parameters, and analyze results to drive impactful business initiatives.
Platform Features
MarketDial's software is built with a user-friendly interface aimed at promoting data democratization throughout an organization. The platform uses machine learning and advanced algorithms to automate test design, ensuring statistical accuracy and scientific validity. Retailers can easily navigate through the software to create, monitor, and analyze A/B tests with precision.
Client Partnerships
MarketDial partners with major retail and convenience store brands, helping them implement and analyze statistically valid tests. The company provides dedicated data scientists and client support teams to assist in everything from test creation and data integration to result analysis. This collaboration ensures that clients can make data-driven decisions to enhance their operations and marketing strategies.
Data and Analytics
MarketDial's platform offers flexible solutions for data ingestion, accommodating various metrics, time frames, data systems, and unique KPIs. The company's approach supports a culture of experimentation in physical retail locations, allowing businesses to test in a controlled environment before making large-scale operational changes. This flexibility ensures that businesses can adapt the tools to fit their specific analytical needs.
Scientific Validity
MarketDial utilizes machine learning and advanced algorithms to ensure that its A/B testing processes are scientifically valid and statistically accurate. These automated features streamline the test design process, reducing the likelihood of human error and providing reliable results. This scientific rigor allows retailers to make informed decisions based on empirical data.