Analyzr is a predictive analytics tool that simplifies machine learning for B2B sales and marketing. It enables midmarket and enterprise customers to make data-driven decisions with tailored models.
Analyzr, now known as the G2M Platform, simplifies predictive analytics and machine learning for B2B sales and marketing. It offers a no-code user interface to build machine learning models quickly, focusing on transparency and outcome-focused insights. The platform allows users to aggregate data from various sources, select variables, train models, and gain actionable insights. Key features include secure data handling, cloud-based scalability, and outputs that feed back into native systems. Analyzr supports use cases like clustering, propensity scoring, regression, and A/B testing to help businesses optimize outcomes and improve marketing effectiveness.
Best used for
Ideal for B2B sales and marketing teams who need to build predictive models without coding, analyze customer behavior for growth, and optimize campaign effectiveness. Especially valuable for midmarket and enterprise customers seeking transparent and outcome-focused analytics.
Common actions
predict customer behavior
analyze sales data
optimize marketing campaigns
build machine learning models
generate business forecasts
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What are the limitations of Analyzr's free Starter plan?
The free Starter plan includes a single user, 10 models, 10 datasets, and a 10,000-row limit per dataset per model. It offers unlimited predictions and Python & Powerpoint exports, but does not include shared workspace or production-ready models.
What is the difference between the Premium and Enterprise plans?
The Premium plan is for small teams with up to 5 users and a 200,000-row limit, while the Enterprise plan offers unlimited users and scales to unlimited data with dedicated cloud resources, API SLAs, SAML/SSO, and flexible deployment options.
Can Analyzr be deployed on customer premises?
Yes, the Enterprise tier of Analyzr offers flexible deployment options. It can be deployed in the managed Analyzr Cloud, on customer cloud resources, or directly on customer premises to meet specific security and infrastructure requirements.
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