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description: Review of Scoop Analytics Software: system overview, features, price and cost information. Get free demos and compare to similar programs.
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title: Scoop Analytics | Reviews, Pricing & Demos - SoftwareAdvice GB
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Breadcrumb: [Home](/) > [Data Analysis Software](/directory/535/data-analysis/software) > [Scoop Analytics](/software/522641/Scoop-Analytics)
# Scoop Analytics
Canonical: https://www.softwareadvice.co.uk/software/522641/Scoop-Analytics
> Scoop Analytics is an AI-powered data analysis tool designed to uncover patterns, key drivers, segments, and shifts in business data using machine learning. It provides insights for business teams across industries, helping users analyze data without requiring advanced technical expertise.
The platform includes a natural language interface that allows users to ask questions in plain English, eliminating the need for SQL knowledge or complex formulas. It connects directly with existing data sources and works without requiring data warehouses or ETL pipelines. Scoop Analytics explains changes in metrics and generates presentation-ready visuals that can be exported to PowerPoint.
The system incorporates predictive capabilities, using machine learning models to forecast revenue, predict customer churn, and identify business opportunities. It is designed to handle real-world data and supports compatibility with a wide range of tools such as HubSpot, Google, Tableau, and Airtable. Insights generated by the platform can be pushed to CRM systems for further use.
>
> Verdict: Rated \*\*\*\* by 0 users. Top-rated for **Overall Quality**.
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## About the vendor
- **Company**: Scoop Analytics
## Commercial Context
- **Starting Price**: US$99.00
- **Pricing model**: Per User (Free Trial)
- **Pricing Details**: Scoop offers straightforward, transparent pricing designed to be significantly more affordable than traditional enterprise BI solutions. The platform targets business users who need self-service analytics without the complexity and cost of tools like Tableau, Power BI, or custom data teams.
Core Pricing Structure:
Individual Plan: $99/month per user (mentioned consistently across transcripts)
Team Plan: $149/month per user (for multiple users with collaboration)
Enterprise: Custom pricing (for large organizations with unlimited users/data sources)
What's Included in All Plans:
AI-powered natural language analytics
Interactive visualizations and dashboards
Slack integration for team collaboration
PowerPoint/Google Slides export capability
Custom branding and themes
Process analysis and trend detection
Standard connectors (Salesforce, HubSpot, Google Analytics, 100+ others)
Unlimited reports and presentations
Spreadsheet-based data transformations
Key Value Propositions:
10x less expensive than traditional BI: Typical enterprise BI implementations cost $100K+ annually for infrastructure, licensing, and technical staff
No technical setup required: Business users can connect data sources and start analyzing in minutes
All-in-one solution: Eliminates need for separate data warehouse, ETL tools, and visualization platforms
Pricing Philosophy: Scoop's pricing model reflects its mission to democratize analytics. At $99-149/month per user, it's positioned as an accessible alternative to enterprise solutions that often require six-figure commitments plus technical staff. The goal is enabling small to mid-size teams to access sophisticated analytics capabilities without enterprise-level complexity or cost.
Trial and Onboarding:
14-day free trial with full feature access
Quick setup (often under an hour for basic connections)
Minimal technical requirements
No long-term contracts required
Competitive Context: Unlike traditional BI tools that charge for infrastructure, databases, technical staff, and complex implementations, Scoop provides a complete analytics platform at a fraction of the cost. The pricing enables organizations to give analytics capabilities to business users rather than limiting access to technical teams.
Target Market Fit: The pricing structure aligns with Scoop's target audience of business users (sales, marketing, operations) who need ad-hoc analytics but don't require the full complexity of enterprise data warehouses. Teams can start small and scale as needed without massive upfront investments.
- **Target Audience**: 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: English
- **Available Countries**: United States
## Features
- API
- Access Controls/Permissions
- Activity Dashboard
- Ad hoc Analysis
- Ad hoc Query
- Ad hoc Reporting
- Alerts/Notifications
- Charting
- Customisable Branding
- Customisable Reports
- Dashboard
- Dashboard Creation
- Data Connectors
- Data Discovery
- Data Extraction
- Data Import/Export
- Data Visualisation
- Database Support
- Drag & Drop
- Forecasting
## Integrations (20 total)
- Airtable
- Apollo.io
- Attio
- Close
- Copper
- Google Ads
- Google Analytics 360
- Google Sheets
- HubSpot CRM
- Jira
- LinkedIn Marketing Solutions
- Microsoft Power BI
- Pipedrive
- QuickBooks Online
- Salesforce Sales Cloud
... and 5 more integrations
## Support Options
- Email/Help Desk
- FAQs/Forum
- Chat
## Category
- [Data Analysis Software](https://www.softwareadvice.co.uk/directory/535/data-analysis/software)
## Links
- [View on SoftwareAdvice](https://www.softwareadvice.co.uk/software/522641/Scoop-Analytics)
## This page is available in the following languages
| Locale | URL |
| en | |
| en-AU | |
| en-GB | |
| en-IE | |
| en-NZ | |
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