Analyzr

Empower your business teams to build predictive machine learning models without coding to identify growth opportunities, reduce churn, and optimize marketing ROI.

Paid predictive modeling

Paid only

Price not published

About Analyzr

Analyzr, now part of the G2M Platform, provides a comprehensive no-code environment for businesses to leverage predictive modeling and machine learning without the need for an extensive engineering team. The platform simplifies the end-to-end data science workflow, allowing users to aggregate information from both first-party and third-party sources to serve as the foundation for their models. By handling the underlying infrastructure, such as managed Kubernetes clusters and complex data encoding, the tool enables business analysts and stakeholders to focus on uncovering actionable insights rather than managing technical systems or code.The system operates through a structured four-step process: selecting data sources, defining variables and algorithms, training the model, and extracting actionable insights. Users have the flexibility to choose specific algorithms that best fit their data sets and can refine their models by adjusting variables based on initial outcomes. Once trained, the platform's outputs are designed to feed directly back into a company's native systems, ensuring that predictive data is accessible to end-users where they already perform their daily work. This seamless integration helps bridge the gap between high-level data science and practical business application.Targeted primarily at marketing teams and sales operations, Analyzr excels in use cases such as propensity scoring, customer clustering, and regression-based forecasting. It is particularly valuable for industries where understanding customer behavior—such as the likelihood to buy or the risk of churning—is critical for maintaining a competitive edge. The platform's ability to perform adjusted A/B testing allows marketers to evaluate campaign effectiveness by accounting for all relevant factors between control and test groups, providing a more accurate assessment of marketing program performance.What distinguishes this platform from other automated machine learning tools is its emphasis on transparency and enterprise-grade security within a single-tenant architecture. While many cloud platforms operate on shared infrastructure, Analyzr provides dedicated API instances and allows for local data encoding to ensure confidential information is protected. Its SOC2 compliance and focus on a single-tenant approach make it a suitable option for organizations that require high standards of data privacy and reliability alongside ease of use for their non-technical staff.

Analyzr pros & cons

Pros

Provides a single-tenant API to ensure that confidential business data is never shared with other users.
Allows for local data encoding and control, helping organizations meet strict privacy and compliance requirements.
Built on a managed Kubernetes cluster which ensures high availability and cloud-based scalability.
Offers a no-code interface that enables business users to build machine learning models without engineering assistance.
Includes adjusted A/B testing capabilities that account for relevant factors between test and control groups.

Cons

Detailed pricing information is not publicly available and requires a direct inquiry with the sales team.
The platform's dedicated pricing page is currently unreachable, returning a 404 error.
Requires users to aggregate their own first-party or third-party data sources before starting the modeling process.

Analyzr use cases

Marketing teams can utilize propensity scoring to identify at-risk customers and deploy targeted retention campaigns to reduce churn.
Business analysts can group prospects into micro-clusters based on shared traits to uncover new pockets of growth before competitors do.
Sales operations managers can use regression analysis to create more reliable forecasts and optimize strategies to meet year-end targets.
Performance marketers can use adjusted A/B testing to compare campaign effectiveness while accounting for external variables and control factors.

Analyzr features

no-code user interface
soc2 compliance
propensity scoring
regression-based forecasting
customer micro-clustering
local data encoding
single-tenant api
managed kubernetes cluster

Analyzr pricing

Is Analyzr free? No, Analyzr doesn't offer a free plan.

Custom

Price varies

No-code interface
Managed Kubernetes
Single-tenant API
Local data encoding
SOC2 compliance
Clustering algorithms
Propensity scoring
Regression analysis
A/B testing tools
Actionable insights

Analyzr FAQs

Is coding knowledge required to use Analyzr?

No, Analyzr provides a no-code user interface that handles the engineering and machine learning complexities. This allows users to focus on selecting variables and interpreting outcomes rather than writing code.

How does the platform ensure data security?

The tool is SOC2 compliant and operates on a single-tenant API architecture to prevent confidential data from being shared. Users can also encode and control their data locally to maintain privacy standards.

Can I integrate my existing data stack?

Yes, Analyzr partners with technology leaders like Snowflake, HubSpot, and Microsoft. The platform is designed to aggregate data from various sources and feed insights back into your native systems.

What specific analysis types are available?

The platform supports clustering for identifying customer groups, propensity scoring for buy/churn predictions, regression for business forecasting, and adjusted A/B testing for marketing analysis.

Ratings & reviews

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