17 Predictive Analytics Tools to Try in 2024 (+Pricing Plans)

Predictive analytics tools are your modern-day crystal ball. They reveal patterns in your business's vast data.

Patterns that help you predict future events and trends. 

This means proactive data-driven decision-making. Plus, your organization can seize any opportunities before they become visible to the competition. 

These digital crystal balls aren't rare relics. There are lots of them lying around, but which ones are the cream of the crop? Let's find out.

What is Predictive Analytics? 

If predictive analytics tools are crystal balls, you are the fortune teller. As such, the entire process of trying to interpret current and historical data to forecast likely outcomes is what predictive analytics is. 

It’s a blend of data analysis and science, enabling you to answer the question, “What might happen in the future?” 

Predictive analytics aims to help people make informed decisions today by peering into the future.

In the financial industry, banks and insurance companies employ predictive analytics to assess credit risk, detect fraudulent activities, and personalize financial products for their clients.

Predictive analytics also benefits marketing efforts immensely.

Analyzing customer behavior and preferences allows you to tailor your digital marketing strategies with once-unimaginable precision. 

This results in targeted campaigns and optimized ad placements. All of which contribute to higher conversion rates and improved return on investment.

Coming to a place where you can extract predictions from your data requires using several data analysis methods and tools. 

One fundamental technique is machine learning — using algorithms and statistical models that learn from historical data to make predictions.

These models range from linear regression to sophisticated neural networks, each tailored to specific data types and prediction tasks. 

Statistical methods, data mining, and advanced analytics tools also contribute to predictive analysis, allowing organizations to sift through vast datasets, navigate the path through the stages of data maturity and extract meaningful insights.

Benefits of Predictive Analytics

Here are four reasons why you MUST take predictive analytics seriously within your organization:

1. Lead Segmentation

With predictive analysis, lead segmentation becomes precise and granular. For instance, it enables you to identify patterns and factors that indicate the potential for a lead to become a customer.

You then assign scores to these leads based on their likelihood to convert and segment accordingly.

With predictive insights, you can tailor your marketing strategies to address each lead segment's unique needs and preferences—allowing you to deliver content and offers that resonate more effectively with specific groups, enhancing the overall customer experience.

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2. Better Organization

Predictive models uncover patterns and trends by analyzing real-time and historical data, offering a clear roadmap for strategic decisions.

You can anticipate market trends, optimize resource allocation, and proactively address potential challenges. 

This guarantees a more organized and forward-thinking operational approach.

3. Customer Behavior Analysis

How effective would your interactions with customers be if you could identify trends in their interactions with your products, services, and marketing efforts? 

Predictive analytics enables this by helping you spot customer behavior patterns. 

A customer behavior analysis provides a deeper understanding of your customers.

You can anticipate their future actions.

You can tailor your offerings to meet their expectations.

You can optimize your marketing strategies to resonate more effectively with them and improve their overall experience.

4. Automation

The only thing better than automation is data-driven marketing automation.

Predictive analytics helps with smarter inventory management automation by forecasting demand patterns and ensuring optimal stock levels every season.

Your marketing efforts aren’t left out.

For instance, you can automate product recommendations based on customers’ browsing and purchase history.

This ensures each customer receives tailored suggestions, enhancing the shopping experience and increasing the likelihood of conversion.

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Predictive Analytics Tools

1. Marketing Evolution (MEVO)

Featuring proprietary machine learning algorithms based on Nobel Prize-winning research and AI, Marketing Evolution collects customer and marketing data from multiple channels, provides high-level performance reports, media attribution, and predictive insights. 

The goal is to help you track your performance, inform your strategy going forward, and help you maximize your marketing spending.

Best For

• In-house marketers
• Marketing agencies

Features

• Insights App for granular insights on the customer journey, conversion, and KPI metrics
• Scenario Planner for targeted and efficient marketing
• AI-backed predictive insights provider
• Attribution reporting

Pricing

Offers three pricing tiers (price details delivered on demand):

• Mevo Link Innovator
• Mevo Omni Enterprise
• Mevo Custom Trailblazer

2. Tableau

Tableau is a business intelligence, analytics, and data science household name. It offers a fully integrated and expansive visual analytics platform that simplifies data analysis.

Businesses can easily extract actionable insights from their data at all levels. 

Tableau's CRM analytics tool, powered by Einstein AI (a proprietary Salesforce AI tool), delivers data-driven predictions and recommendations for more intelligent decision-making.

Best For 

• Analysts
• Data scientists
• Business users

Features

• Intuitive user experience
• Data visualization
• AI-backed statistical modeling
• Data prep tool
• Multiple deployment options: server, cloud, desktop
• CRM Analytics for predictive insights (native to Salesforce)
• Data management tool
• Data storytelling
• Collaboration tool
• Multiple integrations: Excel, Google Sheets, Microsoft SQLServer, Google Analytics, etc
• Global data community of 1 million+ members

Pricing

• Offers a free trial
• Tableau Creator: $75/user/month
• Tableau Explorer: $42/user/month
• Tableau Viewer: $15/user/month

All packages are billed annually.

3. Emcien

If you’re big on predictive analytics software that prioritizes simplicity and ease of use, Emcien fits the bill.

It’s a self-service predictive analytics and data science platform that automatically analyzes data for trends and patterns and delivers actionable insights in natural language.

In summary, Emcien does is that it tells you what will happen and why, offers what you can do about it, and sends your answers to where you need them. 

Best For

• Business users

Features

• Emcien Patterns: automated prescriptive analytics and actionable insights
• In-app analysis delivery
• Multiple integrations: Salesforce, Tableau, Marketo, etc.

Pricing

• Free trial
• Paid plans are offered on demand 

4. Improvado

Improvado is a marketing data aggregation platform that provides a single source of truth for your marketing performance across multiple channels.

It can collect data from over 500 marketing and sales platforms and generate automated reports.

This makes it easier to make data-driven predictions on customer behavior in your various marketing efforts and improve your ROI.

Best For

• Marketers
• Other business users
• Analysts

Features

• Automated marketing report
• Integrates with multiple data sources: Google Ads, Facebook Ads, YouTube, Instagram, Marketo, etc.
• Integrates with data warehouses: SQL Server, Google Big Query, AWS, etc.
• Integrates with data visualization tools: Looker Studio, Tableau, Power BI, etc
• Marketing attribution

Pricing

• Custom quotes delivered on demand

5. SAP Predictive Analytics

A part of SAP Analytics Cloud, SAP Predictive Analytics software allows you to build predictive models to uncover patterns and relationships in your data.

It combines business intelligence, planning, data science, and predictive analysis tools into one platform.

Best For

• Analysts
• Data scientists

Features

• Self-service data modeling
• Data visualization
• Scenario simulation and planning
• Predictive planning
• Collaboration 
• Analytics app customization

Pricing

• Delivered on demand

6. Oracle DataScience

In Oracle Cloud Infrastructure Data Science, you get a data analysis and data science tool to organize, build datasets, train, and manage machine learning-backed predictive analytics models.

It also enables instant access to your data for easy storage.

Best For

• Data analysts
• Business users 

Features

• Data preparation tools: flexible data access, data labeling, etc.
• Model building tools: JupyterLab Interface, open source machine learning tools and frameworks, etc.
• Model training tools: NVIDIA GPUs, RAPIDS, etc
• Governance and model management tools: model catalog, model evaluation, and comparison, etc.
• Automated model creation and deployment 

Pricing

• Based on the selected tools

7. FICO Predictive Analytics

Patronized by 95 of the 100 most prominent financial institutions in the US, FICO is the go-to predictive analytics tool for financial services providers.

However, it also serves other industries such as retail, healthcare, and telco. 

The platform provides analytics tools to enable companies to predict customer behavior, create tailored customer experiences, combat fraud, manage risk, and optimize their operations.

Best For

• Business users: marketing, sales, finance, compliance, etc. 

Features

• Patented AI techniques for training machine learning models
• Advanced analytics
• Advanced decision trees
• Open platform approach for easy model authoring, testing, and deployment
• Tools for credit risk analysis and fraud detection
• Data visualization tools 

Pricing

• Offered on demand

8. Sisense

Sisense is a business intelligence platform for embedding AI-driven analytics into your employee and customer operations.

The former lets you extract insights about current trends and predict future outcomes.

The latter empowers you to provide an excellent customer experience by giving users intelligent analytics that matters. 

The good thing is that it’s suitable for users with varying technical expertise as it offers pro-code, low-code, and no-code capabilities. 

Best For

• Marketing teams
• Business managers
• Developers 

Features

• Machine learning models
• Multiple deployment options: cloud, on-premises, hybrid and SaaS
• Sisense Infusion Apps: for easy access to insights for everyone
• Multiple integrations: Adobe Analytics, Airtable, Amazon Kinesis, etc
• Industry-standard data protection tools

Pricing

• Offered on demand

9. IBM SPSS Predictive Analytics Enterprise

As you would expect from tech juggernaut IBM, the SPSS Predictive Analytics Enterprise is a well-rounded data science and data analysis tool.

It shares some similarities with IBM Watson Studio and SPSS Statistics. 

You get both descriptive (think SPSS Statistics) and predictive analytics. You also get data preparation and automation features that enable you to use predictive intelligence to inform every business decision.

Best For

• Analysts
• Business users: executives, marketing and sales, HR, etc
• Data scientists

Features

• IBM SPSS Statistics: in-depth statistical analysis and reporting tool
• IBM SPSS Modeler: predictive modeling tool
• IBM SPSS Analytic Server: tool for accessing big data from multiple external sources
• IBM SPSS Collaboration and Deployment Services: real-time predictive scoring tool

Pricing

• Offers a 30-day free trial
• Pricing on demand

10. RapidMiner Studio

Trusted by the likes of Visa, Sony, and BMW, RapidMiner is a full-scale data science platform.

It deploys the latest technologies to optimize several business operations using data and is one of the best predictive analytics software. 

Its model-building tool includes code and no-code options for building predictive models for everything from customer churn and demand forecasting to fraud detection and predictive maintenance.

It even includes pre-built templates for these use cases.  

Best For

• Business users across every department

Features

• Automated model creation
• Visual model creation tool
• Code-based model creation tool 
• Pre-built predictive model templates
• Recommendations 
• Model testing

Pricing

• Delivered on demand

11. Q Research

Q is a data analysis and forecasting tool designed by market researchers for market researchers.

Q makes data analysis simple, accessible, and quick. It automates grunt work like data cleaning and formatting, reproducing reports, statistical testing, and more.

It can also generate large-scale reports and even support advanced analysis.  

Best For

• Market researchers

Features

• Predictive modeling
• Statistical testing
• Table generation
• Reports generation and reproduction
• Automatic report updating
• Advanced analytics: supports R language 
• Data exportation
• Data visualization and storytelling 
• Simple navigation: drag-and-drop, point-and-click

Pricing

• Offers a free trial
• Standard license: $2,235/year
• Transferable license: $2,705/year

12. TIBCO Statistica

TIBCO Statistica is a flexible business analytics and data science platform prioritizing collaboration and data analysis excellence.

You can easily create and share analytic workflows with others.

And deploy everything from statistical, predictive, and forecasting models to data mining, optimization, and text analytic models.

Best For

• Business users
• Data analysts

Features

• Cloud integration
• Predictive modeling
• Data mining
• Data Virtualization system: access to multiple and varied data sources
• Extensive self-service analytics and data visualization capabilities
• Collaboration tool
• Enterprise-grade security

Pricing

• 30-day free trial
• Delivered on demand

13. SAS Advanced Analytics

SAS Advanced Analytics is one of the few all-in-one AI and analytics platforms optimized for speed and efficiency.

It also has everything needed to cater to the entire data-to-decision lifecycle, including data preparation, data management, model building, management functionalities, and collaboration capabilities.

Best For

• Analysts
• Business users and leaders

Features

• Data access and in-database processing
• Data preparation and integration
• Data catalog, quality, and governance 
• Visualization and reporting
• Model deployment and management
• Machine learning and deep learning
• Forecasting 
• Text analytics and more

Pricing

• Free trial
• Quotes on demand 

14. Domo

Domo combines multiple touchpoints to help you get the most out of your data.

It includes specialized business app-building tools, business intelligence, and analytics capabilities.

You also get a flexible system that accepts real-time data from anywhere.

Best For

• C-level executives
• Business analysts
• All teams within a company

Features

• Business app creation: for streamlined decision-making, task automation 
• Advanced visualization
• Data storytelling
• Interactive and customizable dashboard
• Collaboration capabilities
• Tools for building AI and data science models
• Data integration from any source
• Drag-and-drop ETL (Extract, Transform, and Load) tools 
• Cloud integration capabilities

Pricing

• Free forever plan
• Free trial for the Standard plan
• Standard: starts at $300/month
• Enterprise: quote delivered on demand
• Business Critical: quote delivered on demand

15. Alteryx

Alteryx’s easy-to-use data analytics platform is an inclusive solution that enables all employees, regardless of their technical expertise, to leverage data analytics and predictive analytics capabilities for decision-making. 

With simple features like drag-and-drop functionalities, low-code and no-code tools, and AI analytics automation, anyone can uncover hidden insights within available data and make intelligent predictions.

Best For

• Business users across marketing and sales, finance, HR, IT, etc.
• Analysts 

Features

• Designer Cloud: data preparation automation, cloud workflows, self-service analytics, etc.
• Designer: low-code and no-code analytics automation for predictive analytics, drag-and-drop templates, etc.
• Intelligence Suite: data extraction from PDFs and images, text analytics, etc.
• Machine learning
• Auto Insights
• Location-based insights
• Collaboration functionalities

Pricing

• Free trial
• Designer Cloud: starts at $4,950
• Designer Desktop: starts at $5,195
• For prices outside the US, contact Alteryx

16. H2O.ai

H20.ai’s cloud platform is powered by artificial intelligence, including generative AI and machine learning.

It enables data analysis, scalable machine-learning model creation, and insights extraction from available datasets. 

It handles large datasets and can be used to perform everything from classification to regression and time series forecasting.

H20.ai’s open-source model makes it more flexible and scalable than many other options.

Best For

• Analysts
• Data scientists

Features

• Data labeling automation
• Data processing automation
• Auto machine learning
• Large language modeling

Pricing

• Available on demand

17. KNIME Analytics Platform

KNIME is a free, open-source data analytics platform with integration and reporting capabilities.

The platform makes accessing, blending, and transforming data from any source a breeze.

You can also easily interact and make sense of data with interactive charts, visualizations, and a wide range of analytic techniques. 

Best For

• Single business users
• Data experts
• Small businesses

Features

• Data collation from multiple sources
• Data blending tools
• Data transformation functionalities
• Spreadsheet automation
• Data visualization and interactive charts
• Diverse analytic techniques
• Workflow bundling and reuse, and more

Pricing

• Free 

Better Business Results Are On The Other Side of Predictive Analytics

Predictive analytics put you one step ahead.

You can anticipate customer behavior and market trends. And make the necessary strategic decisions. 

This kind of foresight positions you to not only meet but exceed your business objectives.

Explore predictive analytics software to start taking better advantage of the data revolution.

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