--- title: "Pecan Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about Pecan Software - reviews, pricing plans, popular comparisons to other Predictive Analytics products and more." source_url: "https://www.capterra.com/p/199700/Pecan/" page_type: "product" language: "en" --- # Pecan Software Review 2026: Features, Reviews, Integrations, Pros & Cons Last updated on July 31, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews) Pecan ## What is Pecan? Pecan is a predictive analytics platform that was designed to drive business value from AI. In one intuitive platform, analysts and KPI owners can add data, deploy off-the-shelf predictive models, and see outputs to allow you to predict future outcomes. With Pecan you can analyze and forecast lifetime value, customer churn, next best offer, mix media modeling, demand forecast, sales forecast, capacity planning, multi-touch attribution amongst other predictive models. ## What is Pecan used for? [Marketing Analytics](https://www.capterra.com/marketing-analytics-software/)[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/)[Mobile Analytics](https://www.capterra.com/mobile-analytics-software/) Top alternative Featured Overall rating Based on 1 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price $950 Usage Based, Per Month Free trial available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Pecan?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://www.pecan.ai&name=Pecan) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Pecan 5.0 (1) VS. [4.5 (285)](https://www.capterra.com/p/169053/Looker/reviews/) Starting Price $950 Usage Based, Per Month Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 5.0 (1) Ease Of Use 4.3 (44) Value For Money 0.0 (0) Value For Money 4.4 (39) Customer Service 5.0 (1) Customer Service 4.5 (40) ## Pecan alternatives [4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 92% of reviewers rated it above 4 stars [4.5 (391)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/) Starting price $1851.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 93% of reviewers rated it above 4 stars [4.3 (331)](https://www.capterra.com/p/119119/Domo/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 85% of reviewers rated it above 4 stars Highest Rated [Lebesgue](https://www.capterra.com/p/238852/Lebesgue/) [4.9 (44)](https://www.capterra.com/p/238852/Lebesgue/reviews/) Starting price $59.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars ## FAQs about Pecan Overview ### What company size and specific industries is Pecan built for? Pecan is designed for data-oriented teams of any company size that want AI capabilities without depending on limited in-house or external data science resources. It is not tied to a specific industry, making it suitable for teams across sectors that work with data and need support for AI-driven analysis. Features and Usability ### What are the key features of Pecan? Pecan offers predictive analytics, machine learning, and AI-driven modeling for forecasting and decision support. Core capabilities include what-if scenarios, ad hoc analysis, real-time analytics, data integration, and dashboard creation. It also supports cohort analysis, funnel analysis, segmentation, and customizable reports across customer, campaign, and sales data. Talk to an expert ### More questions? Ask our experts Pricing ### How much does it cost and what fees or limitations are included? Pecan starts at $1,750 per month for the usage-based Business plan, which includes 16 prediction batches monthly, 5 seats, full platform functionality, and in-app support. An Enterprise plan is also available with custom pricing, and a free trial lets teams evaluate the product before purchasing. Integrations ### Which third-party tools and platforms does Pecan integrate with? Pecan connects natively to 11 third-party tools and platforms, including analytics and data warehouse systems such as Adjust, AppsFlyer, Firebase, Singular, Amazon Redshift, Google Cloud BigQuery, Azure Databricks, Snowflake, Microsoft SQL Server, MySQL, and PostgreSQL. Getting Started and Support ### What training and onboarding options does Pecan offer? Pecan provides in-person training, live online sessions, webinars, and documentation to support teams getting started. In-person training offers direct instruction, live online sessions and webinars provide guided learning remotely, and documentation gives written reference material for self-paced review and setup support. Getting Started and Support ### What customer support options does Pecan offer? Pecan provides Email/Help Desk, FAQ/Forum, Phone Support, 24/7 Live Rep, and Chat. With no reviewer feedback available on support, the customer experience cannot be characterized from user reports, but the listed channels suggest several direct ways to contact support and find help resources. ## Features AI summary Based on 478 Predictive Analytics reviews Capterra data shows that buyers of Predictive Analytics rank the following features as their top priorities: - **Reporting/Analytics** (**44%** of reviewers rated this feature as critical) - **Data Visualization** (**48%**) - **Performance Metrics** (**45%**) Pecan supports all three of the features reviewers value most: **Reporting/Analytics**, **Data Visualization**, and **Performance Metrics**. Together, these capabilities give teams clear visibility into trends, make complex data easier to understand, and help businesses track results more effectively, allowing teams to make faster and better-informed decisions. Activity Dashboard Dashboard to view the status of ongoing processes, identify current incidents and track past activities Activity Tracking Track and document all activities across devices, networks, and other systems Ad hoc Query One-off queries made on an as-needed basis Ad hoc Reporting Generate one-off reports that meet information requirements AI/Machine Learning Software program that continuously adjusts its behavior based on observed data Analytics Tools for the systematic analysis of various types of data or statistics Pecan 143 features ### All Features - "What If" Scenarios: Method used in decision-making that allows businesses to input variables to forecast potential outcomes or possibilities - Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities - Activity Tracking: Track and document all activities across devices, networks, and other systems - Ad hoc Query: One-off queries made on an as-needed basis - Ad hoc Reporting: Generate one-off reports that meet information requirements - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - Analytics: Tools for the systematic analysis of various types of data or statistics - API: Application programming interface that allows for integration with other systems/databases - Augmented Analytics: Analyze data and automatically generate insights using AI/ML technologies - Behavior Tracking: Track visitors'/audience's responses across web pages and other optimized content - Behavioral Analytics: Track and analyse user behavior within a system or network - Benchmarking: Compare key metrics for the business against prominent players in the industry - Budgeting/Forecasting: Create budgets based on historical data and future projections - Business Rules Management: Define and maintain business rules that determine workflow capabilities and criteria - Campaign Analytics: Track and interpret campaign performance metrics - Campaign Management: Create a collection of marketing actions to complete specific goals and plan and analyze campaign results - Campaign Planning: Plan and strategize marketing campaigns - Campaign Segmentation: Group campaigns by project, client, or campaign for better management. - Campaign Tracking: Track the performance of marketing campaigns across multiple channels. - Capacity Planning: Determine and plan production capacity based on changing demands - Channel Management: Manage various distribution channels, build relations with channel partners, and track their performance - Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc. - Cohort Analysis: Analytics that breaks the data in a data set into related groups/categories. - Conversion Tracking: Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads - CRM: Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system - CRM Integration: Integration with third-party CRM systems - Customer Activity Tracking: A report showing what actions customers perform - Customer Database: A collection of customer information such as contact details, demographics, previous interactions, etc. - Customer History: Access previous interactions or concerns to maintain customer relationships - Customer Journey Mapping: Visualize and analyze customer experience across all touchpoints and channels - Customer Segmentation: Process of dividing customers into groups based on common characteristics - Customizable Reports: Alter the layout and content of reports - Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements - Customization: Create labels for products that contain required information such as colors, sizes, dates, etc. - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Dashboard Creation: Creation and customization of dashboards - Data Aggregation: Collect, process and structure data from multiple sources for further analysis - Data Blending: Merge data from multiple sources to a single data set - Data Capture and Transfer: Import, collect, and capture data from multiple sources - Data Classification: Grouping log entries based on similar attributes. - Data Clustering: Clustering or grouping objects based on data similarities - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Enrichment: Combines data from internal sources with disparate data from other internal systems or external sources - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Integration: Combining data from different sources and providing a unified view - Data Mapping: Track the management and flow of data throughout the organization - Data Migration: Move from one database to another, or upgrade the version of database software being used - Data Mining: AI method of discovering or extracting data patterns from larger volumes of data - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Source Connectors: Connect to big data sources - Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency - Data Transformation: Translate EDI formats into data suitable for use with company applications. - Data Visualization: Graphical representation of data - Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - Demand Forecasting: Forecast customer demand using historical insights and simulations - Discount Management: Track products that are for sale at a reduced price or part of coupon promotions - Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components - EDI: Transfer of data from one computer system to another - Engagement Tracking: Tracks metrics that provide insight into how a user interacts with any interface or product - For eCommerce: Intended to be used by online stores - For Retail: For Retail Stores - For Sales Teams/Organizations: Caters to sales teams - Forecasting: Form predictions based on past and present data/trends - Funnel Analysis: Method of analysis that visualizes the series of events that lead towards a defined goal. - Generative AI: Use AI to generate content in the form of text, images, videos, etc. - Graphical Data Presentation: Visual representation of data using various graphical elements such as charts, graphs, maps & other visual aids - Historical Reporting: Information, data and reports that are being tracked over time - In-App Events Tracking: Track user activities and events within an application. - Intent Recognition: Helps understand a user's intentions/actions - Interactive Reports: Edit and personalize data view as needed - Inventory Management: Track and manage inventory levels to maintain proper supply - Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity - KPI Monitoring: Tracking the status of previously identified performance measurements - Lead Generation: Manage the process of attracting and converting business prospects into leads - Lead Qualification: Score a lead on their quality or likelihood to buy based on certain behaviors - Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue - Metadata Management: Collect and maintain structured information that describes data or content - ML Algorithm Library: Share, track, and store machine learning models and data. - Mobile App: Access the system via a mobile application - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making - Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user - Multi-Campaign: Manage multiple campaigns in one system - Multi-Channel Attribution: A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey - Multi-Channel Communication: Allows communication with customers or users via multiple channels such as phone, email, live chat, etc. - Multi-Channel Data Collection: Collect information from multiple sources - Multi-Channel Management: Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels - Multi-Channel Marketing: Coordinate marketing efforts across channels (email, landing pages, social media, etc.) - Multiple Data Sources: Allows users to manage data from a number of sources - No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code - OLAP: Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data - Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc. - Personalization: Adjust communications based on previous interactions or personal preferences - Pipeline Management: Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc. - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Prioritization: Arrange tasks based on the level of priority or urgency - Profitability Analysis: Evaluate the degree to which business operations bring monetary gains - Promotions Management: Design, communicate, and distribute incentives to perform a specific action - Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database - Real-Time Analytics: Analyze and gain insights into data in real-time - Real-Time Data: Receive data and information in real time - Real-Time Monitoring: Active monitoring of systems, applications, or networks - Real-Time Reporting: Active reporting of data and metrics - Recommendations: Algorithmically generated suggestions based on user behaviors, preferences, or data patterns to enhance UX, productivity, or engagement - Regression Analysis: Analysis to understand which of the independent variables are related to the dependent variable - Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Retail Inventory Management: Tracking, organizing, and controlling retail inventory throughout the supply chain and sales process - Retention Tracking: Measures the retention rate and satisfaction of customers. - ROI Tracking: Monitor conversion rates and analyze effectiveness and profitability of marketing efforts - Sales & Operations Planning: Oversee various functions of the organization while balancing and optimizing supply and demand - Sales Forecasting: Estimate of expected sales revenue within a specific time frame, such as quarterly, monthly or yearly based on past trends and reports. - Sales Reports: Reports specific to sales analysis for trends and strategies - Sales Trend Analysis: Analyze the current state of sales data to accurately understand trends and forecast future sales numbers. - Scenario Planning: Develop potential scenarios to identify risks and opportunities - Secure Data Storage: Securely stores data to prevent data loss or breaches - Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department - Self-service Analytics: Generate reports on your own without IT involvement - Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral - Statistical Analysis: Apply statistical/mathematical models to sets of data - Statistical Simulation: Assess the performance of a method by picking a random sample from a normal distribution - Stock Management: Manage the buying, selling, and holding of stocks - Storytelling: Ability to present data insights in the form of a story to the audience - Strategic Planning: At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them - Streaming Analytics: Monitor and visualize trends across live data streams - Supply Chain Management: Manage the planning and execution of supply chain activities - Template Management: Create, save, and re-purpose templates for emails, forms, etc. - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - Time Series Analysis: Series of data points indexed in time order - Transaction History: Record of all transactions such as purchases, deposits, withdrawals and transfers within a specific period - Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance - Trend/Problem Indicators: Visually identify direction of development and areas that require attention - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. - Warehouse Management: Manage and track operations and inventory within warehouses - Website Analytics: Track and analyze information regarding website visitors - What-if Analysis: Provides varying estimates based on different scenarios - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows - Workflow Management: Create, design and manage workflows for repetitive tasks --- Get Advice We can help you find the software with the features you need. Features 5.0 (1) 5.0 Based on 1 reviews ## Pricing Free Trial Starter $950.00 Usage Based,Per Month Business $1,750 Usage Based,Per Month Enterprise Contact Vendor for Pricing Pay as you go $5.00 Usage Based,Per Month ## Integrations [ MySQL](https://www.capterra.com/p/11482/MySQL/)[ Microsoft SQL Server](https://www.capterra.com/p/1417/SQL-Server/)[ Firebase](https://www.capterra.com/p/160941/Firebase/)[ PostgreSQL](https://www.capterra.com/p/48791/PostgreSQL/)[ AppsFlyer](https://www.capterra.com/p/156811/AppsFlyer/)[ Snowflake](https://www.capterra.com/p/148267/Snowflake/)[ BigQuery](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/)[ Singular](https://www.capterra.com/p/153688/Unified-Marketing-Platform/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 5.0 (1) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 5.0 (1) 5.0 Based on 1 reviews ## User reviews Overall rating 5.0 Based on 1 reviews Filter by rating 5(1) 4(0) 3(0) 2(0) 1(0) Mentioned topic Sorted by most recent ME Mike E. VP Business Development Computer Software ### "Pecan Review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 May 18, 2022 Pros quick modeling and data integration. pecan team has deep knowledge of our vertical and came equipped with ideas and best practices. Cons dashboard took a bit of getting used to but the data is all there Review source Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you. Response from Vendor May 19, 2022 Hi Mike. Thank you for the positive feedback! If there is anything we can do to help with "getting use to the dashboards" let us know. your input is valuable to us. thanks! paul ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.