Most tools need SQL, warehouses, and weeks of prep. Scoop gives business teams answers fast—no cleanup, no bottlenecks.
Connect your sources, ask a question, and Scoop builds reports and presentations—AI-powered and spreadsheet-smart.
AI-generated reports, live dashboards, and dynamic presentations—all in one flexible, real-time reporting tool.
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.
Scoop’s AI reads, analyzes, and explains your data like an expert—no SQL, no prep, no prompt gymnastics. Just answers you can actually use.
Scoop was built by people who lived the pain of slow, bloated BI tools. Our team’s mission: make reporting fast, flexible, and actually useful.
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.
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.
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.
Trusted Scoop integrations built through official partnerships with leading platforms.
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By automating end-to-end insight extraction from a 244-row issue tracking dataset, Scoop’s AI pipeline identified root backlog causes and unlocked a 50% boost in average issue resolution efficiency.
By applying Scoop’s agentic AI pipeline to 244 issue-tracking records, this organization revealed workload imbalances, rapid root causes of backlog, and new paths to operational efficiency.
A transactional snapshot of plan adoption across marketplace shops, processed end-to-end by Scoop’s agentic AI pipeline, pinpointed concentration and opportunities for higher-tier conversion.
Analyzing comprehensive time-tracking data from a security contractor, Scoop’s agentic AI automatically mapped workforce, location patterns, and compensation, revealing actionable ways to optimize coverage and payroll.
By unifying multi-country security framework implementation and service coverage data, Scoop’s end-to-end agentic AI pipeline revealed a glaring maturity gap—enabling rapid benchmarking and action.
By integrating workforce time-tracking and payroll data, Scoop’s AI pipeline surfaced non-obvious patterns in shift allocation, pay structures, and validation workflows, leading to actionable improvements in resource planning.
A centralized transactional billing dataset underwent Scoop’s automated AI analytics pipeline, revealing hidden reporting gaps and delivering action-ready insights for optimizing category utilization.
Leveraging opportunity lifecycle data, Scoop’s end-to-end AI pipeline surfaced key pipeline conversion metrics, speeding sales cycles and highlighting actionable optimization levers.
Using a comprehensive patron dataset, Scoop’s automated AI pipeline rapidly uncovered revenue gaps, churn signals, and high-value audience segments—empowering a volume-based subscription business to stabilize income and identify fresh monetization opportunities.
By analyzing over 2,100 customer support tickets from a retail & e-commerce management platform, Scoop’s automated AI pipeline rapidly surfaced actionable insights—enabling teams to target resolution barriers, slim manual workload, and unlock opportunities for better user self-service.
By analyzing nearly 5,000 nonprofit sector sales opportunities with Scoop’s agentic AI pipeline, the client swiftly identified lead qualification gaps and prioritized market segments—achieving actionable sales insights and new growth strategies.
Using a rich dataset on executive roles from technology and telecommunications businesses, Scoop’s AI-driven pipeline rapidly mapped organizational hierarchies—revealing that 73 % of leadership positions are management-level, with strategic insight into role combinations and title diversity.
A project management tracking dataset was assessed using Scoop’s automated AI-powered pipeline, which surfaced a critical implementation gap: complete data absence, preventing actionable project timeline insights.
This case study draws on a cross-industry B2B customer feedback dataset; Scoop’s end-to-end AI pipeline unlocked actionable pathways to greater customer satisfaction.
Analyzing a registry of Gmail addresses, Scoop's end-to-end AI pipeline uncovered decisive patterns in email complexity, enabling improved interface and validation design for smoother user onboarding.
Using multi-region sales, marketing, and customer satisfaction data, Scoop’s agentic AI pipeline revealed the precise marketing thresholds that drove sales performance and highlighted actionable patterns for improving regional efficiency—resulting in significant sales uplift and sharper marketing ROI.
A compact dataset capturing new client bookings was analyzed by Scoop’s end-to-end AI pipeline—automating feature extraction, machine learning, and narrative generation—to reveal clear, actionable insights on revenue drivers and retention risks.
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