Upload files or connect your data, then ask questions in plain English. Get charts, ML insights, and answers instantly—all without leaving Slack.
Connect data sources, discover patterns, predict outcomes—all through conversation
Discover how Agentic Analytics™ automatically runs ML algorithms, finds insights, and creates presentations—all without coding.
Get the same insights data scientists deliver, just by asking questions in plain English
Integrate HubSpot with Scoop to analyze your CRM, marketing, and sales performance data for actionable insights in one view.
Sync Google Analytics with Scoop to track website traffic, conversion rates, and visitor behavior alongside other business metrics.
Connect Scoop to your data to create dynamic, interactive presentations with drag-and-drop visualizations that update automatically—no more static screenshots or manual work
Bring Google Sheets data into Scoop to automatically query datasets, refresh data, and analyze key metrics directly in your spreadsheets. Easily customize and parameterize queries for dynamic, real-time insights.
Sync Airtable data with Scoop for project management and organizational insights, making it easier to track team performance.
Connect Close.com with Scoop to track sales activity, pipeline progress, and revenue generation all in one unified platform.
SOC 2 Type II certified, encrypted at rest and in transit, with granular access controls
Scoop flips the script on how you analyze data. Instead of searching for a needle in the haystack, Scoop scans your entire dataset—finding what’s changed, what’s driving results, and what patterns you’re missing.
Ask questions in plain English and get answers you can trust—complete with visuals, summaries, and the data behind them.
Not everything worth tracking comes with a label. Scoop finds hidden groups in your data—customers with shared behavior, silent churn risks, or breakout segments you didn’t know to look for.
See what changed between two periods and why. Scoop analyzes your entire dataset to explain the shifts in behavior, not just the metrics that moved.
Pick an outcome—like churn, conversion, or renewal—and Scoop finds what’s driving it. Real machine learning runs behind the scenes to surface the traits that actually matter.
You know the segment—now find out what defines it. Scoop compares your group to the rest of the dataset to show what makes them tick, in plain language.
Turn marketing data into insights—without manual reports.
Drive renewals and upsells with AI analytics.
Turn CRM Data Into Clear Who, Why, and When Answers
Trusted Scoop integrations built through official partnerships with leading platforms.
Compare Scoop to other data analytics solutions.
Find guides and resources to maximize your use of Scoop..
Expert insights, podcasts, and stories on analytics.
By analyzing detailed project and task tracking data, Scoop’s autonomous AI pipeline delivered a 360° view of workflow bottlenecks and resource allocation, revealing actionable opportunities that boosted project throughput.
By analyzing a transactional licensing dataset with Scoop’s automated AI pipeline, the team identified dominant licensing models and surfaced gaps in data quality—enabling targeted improvements in relationship management and process efficiency.
This case study examines a detailed transaction dataset processed by Scoop’s end-to-end AI pipeline, boosting the clarity of client value patterns and revealing high-impact drivers.
By processing a collection of transactional URL records with end-to-end agentic AI, Scoop rapidly diagnosed a 100% data quality failure, pinpointing root causes and enabling remediation.
Leveraging a structured hotel performance dataset, Scoop’s agentic AI pipeline revealed actionable pricing thresholds that increased both occupancy rates and overall revenue potential.
Using a comprehensive organizational dataset, Scoop’s agentic AI pipeline delivered end-to-end analysis that revealed optimization opportunities, ensuring 86% position allocation and a targeted approach to front-line policing.
Leveraging a transactional services dataset, Scoop’s AI pipeline delivered a complete segmentation of revenue declines and payment dynamics—enabling actionable strategies to reverse a 31.8% revenue decrease year-over-year.
Using a comprehensive, anonymized property dataset spanning contract status, ownership, and valuation, Scoop’s end-to-end AI pipeline rapidly surfaced critical market insights—enabling sharper pricing strategies and faster turnover.
Using large-scale client contact datasets, Scoop’s agentic AI pipeline unified, analyzed, and modeled engagement patterns, delivering a data-backed strategy that maximized conversation quality while minimizing resource waste.
Analyzing high-end automotive service interactions, Scoop’s autonomous AI pipeline rapidly surfaced actionable trends in paint protection, customer loyalty, and service efficiency—leading to a sharper focus on new vehicle protection and repeat customer potential.
Using a business directory dataset sourced from diverse platforms, Scoop’s end-to-end AI pipeline surfaced critical data gaps—enabling a 60% improvement in contact data reliability.
This case study explores a multi-year alumni dataset analyzed end-to-end by Scoop’s agentic AI pipeline, revealing actionable drivers of mentorship engagement and data quality.
By analyzing thousands of corporate filings and disclosures with Scoop’s autonomous AI pipeline, teams revealed critical patterns in AI maturity, confidence, and industry-specific adoption, driving sharper AI growth strategies.
Leveraging a multi-month property security dataset, Scoop’s automated AI pipeline surfaced root causes of incident spikes—enabling targeted interventions and a 66% reduction in peak vandalism cases.
Analyzing a transactional property expense dataset, Scoop’s agentic AI pipeline enabled rapid insight extraction, surfacing payment patterns and cost drivers that underpin highly efficient property operations.
Using a comprehensive donation transaction dataset, Scoop’s seamless AI pipeline mapped regional and organizational giving patterns—revealing untapped fundraising potential and inequities in donor engagement.
Using an end-to-end AI pipeline on a national infrastructure planning dataset, Scoop automatically surfaced actionable patterns—most notably, how project duration and budget directly impact resource efficiency and risk classification.
By processing a large, transactional dataset of hourly airport weather metrics, Scoop’s automated AI pipeline extracted actionable patterns—enabling improved planning and mitigation of weather disruptions.
Leveraging sensitive data exposure records, Scoop’s AI pipeline surfaced actionable privacy insights and key breakdowns in removal workflows.
Transactional sustainability data was analyzed using Scoop’s automated AI pipeline, revealing sector-wide gaps in climate management and actionable improvement opportunities.
A global survey dataset spanning 73 countries underwent Scoop’s agentic AI analytics pipeline, revealing actionable insights on climate priorities, stakeholder trust, and education—empowering sharper strategies in policy design.
Analyzing end-to-end lead generation and ROI data, Scoop’s automated agentic AI pipeline revealed actionable cross-channel insights that elevated marketing efficiency.
Using comprehensive 10K financial datasets, Scoop’s agentic AI pipeline enabled automated KPI extraction and fiscal trend discovery, revealing stable profitability and critical tax rate dynamics.
.jpg)