- Single user
- 10 models
- 10 datasets
- 10,000 row limit*
- G2M Cloud engine
- Unlimited predictions
- Python & Powerpoint exports
- SOC 2 Type 2 compliant
Analyzr
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Analyzr is an AI-driven analytics platform that streamlines predictive analytics and machine learning for B2B sales and marketing. It provides actionable insights quickly.
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Analyzr is an AI-driven analytics platform that streamlines predictive analytics and machine learning for B2B sales and marketing. It provides actionable insights quickly.
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What is Analyzr?
Analyzr is a sophisticated AI-powered platform designed to simplify predictive analytics and machine learning for B2B sales and marketing. It enables users to build propensity, regression, and clustering models effortlessly through a no-code user interface, extracting meaningful insights from complex data sets. The tool is built for midmarket and enterprise customers, focusing on delivering actionable insights that drive business outcomes.
Who will use Analyzr?
- Business Analysts
- Marketers
- Data Scientists
- Sales Teams
- Midmarket Companies
- Enterprise Companies
How to use the Analyzr?
- Step1: Sign up and log in to Analyzr.
- Step2: Upload or connect your data sources.
- Step3: Choose the type of model you want to build.
- Step4: Configure the model parameters using the no-code interface.
- Step5: Run the model and wait for the results.
- Step6: Analyze the results and extract actionable insights.
- Step7: Implement the insights into your business strategy.
- Step8: Monitor and refine your models as needed.
Platform
- web
Analyzr's Core Features & Benefits
The Core Features
- Predictive analytics
- Machine learning
- No-code interface
- Support for propensity, regression, and clustering models
- Integration with various data sources
- Actionable insights
The Benefits
- Simplifies complex analytics
- Saves time
- Empowers non-technical users
- Enhances decision-making
- Scalable for midmarket and enterprise customers
Analyzr's Main Use Cases & Applications
- Sales forecasting
- Customer segmentation
- Churn prediction
- Marketing campaign optimization
- Lead scoring
Analyzr's Pros & Cons
The Pros
No-code user interface enables quick building of machine learning models.
Secure data handling with local encoding and control.
Scalable cloud-based architecture using managed Kubernetes clusters.
Reliable and fully managed with guaranteed uptime and dedicated support.
Outcome-focused platform delivering actionable business insights.
Offers diverse use cases like clustering, propensity scoring, regression, and A/B testing.
Analyzr's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | 30-day free trial limited to 10 models and 10 datasets, no credit card required |
| Pricing model | Freemium |
| Is credit card required | No |
| Paid from | 499 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Free
0 USDPremium
499 USD- Up to 5 users
- Unlimited models
- Unlimited datasets
- 200,000 row limit*
- G2M Cloud engine
- Unlimited predictions
- Python & Powerpoint exports
- Shared workspace
- Production-ready models
- Access to REST API
- SOC 2 Type 2 compliant
Enterprise
USD- Unlimited users†
- Unlimited models
- Unlimited datasets
- Scale to unlimited data†
- Dedicated cloud resources
- Unlimited predictions
- Python & Powerpoint exports
- Shared workspace
- Production-ready models
- Access to REST API
- API SLAs
- SAML/SSO integration
- Flexible deployment††
- Priority support
- Professional services
- SOC 2 Type 2 compliant
FAQs of Analyzr
Analyzr Company Information
- Analyzr
Analytic of Analyzr
Visit Over Time
Monthly Visits
2.6k
Avg Visit Duration
00:00:11
Page Per Visit
1.70
Bounce Rate
40.39%
Nov 2025 - Jan 2026 All Traffic
Geography
Top 3 Regions
United States
50.88%
Vietnam
43.63%
Indonesia
5.5%
Nov 2025 - Jan 2026 Worldwide Desktop Only
Traffic Sources
Search
39.43%
Direct
37.33%
Referrals
12.76%
Social
7.82%
Paid Referrals
1.50%
Mail
0.19%
Nov 2025 - Jan 2026 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| propensity model | 520 | $ 19.20 |
| determining super bowl champion from regular season statistics | 360 | $ -- |
| propensity models | 260 | $ 5.50 |
| propensity score modeling | 210 | $ -- |
| how to pick a super bowl champion based on historical stats | 200 | $ -- |
Analyzr Reviews
5/5
Analyzr's Main Competitors and alternatives?
- Polymer
- Tableau
- MonkeyLearn
- Microsoft Power BI
- Sisense
- IBM Cognos Analytics
- Qlik
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