Analyzr Howto

Analyzr is a no-code machine learning platform that simplifies predictive analytics and data-driven decision making for B2B sales and marketing teams.
View More

How to Use Analyzr

Select Data Sources: Aggregate data from first- and third-party sources to serve as the foundation for the model build.
Pick Variables & Algorithm: Select variables to feed the model and choose the algorithm that provides the best fit for the data set.
Train Model: Let Analyzr encode the data and compute results. Review model outcomes, and revise variables or algorithm as needed to refine results.
Get Insights: Take your business to the next level with actionable insights and model outputs that feed back into native systems.
Build Machine Learning Models: Use the no-code user interface to quickly build machine learning models.
Review Outputs: Access model outputs that feed back into native systems for end users to review.
Apply to Use Cases: Apply the model results to use cases like clustering, propensity scoring, regression analysis, and A/B testing.

Analyzr FAQs

Analyzr is a no-code machine learning and predictive analytics platform designed for B2B sales and marketing analysts. It enables users to build propensity, regression, and clustering models without coding.

Latest AI Tools Similar to Analyzr

TubeVoice
TubeVoice
TubeVoice is an AI-powered YouTube comment analyzer that helps content creators understand their audience by providing insights from video comments through automated analysis.
ReviewPower
ReviewPower
ReviewPower is an all-in-one platform that aggregates and analyzes trusted reviews from G2 and Capterra to help businesses gain valuable insights from customer feedback.
Insightfull
Insightfull
Insightfull is an AI-powered health tracking platform that helps users monitor symptoms, analyze health data, and receive personalized insights through symptom tracking, food logging, and medication management features.
SERPrecon
SERPrecon
SERPrecon is an advanced SEO tool that leverages vectors, machine learning, and natural language processing to help users analyze and outrank competitors by using the same methods as modern search engines.