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.
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Expert insights, podcasts, and stories on analytics.
Using a two-year transactional dataset of orders, Scoop’s agentic AI pipeline automated advanced revenue, product, and retail segmentation analysis, delivering actionable insights that accelerated planning and doubled quarterly order growth.
Using project management task data, Scoop’s end-to-end AI pipeline highlighted bottlenecks in resource allocation and surfaced actionable patterns—resulting in clearer prioritization and improved operational insight.
Leveraging item-level inventory and warehouse utilization data, Scoop’s AI pipeline rapidly generated actionable insights—highlighting allocation rate as the single most impactful lever for inventory turnover.
From a rich transactional dataset, Scoop’s end-to-end AI pipeline surfaced actionable, segment-specific insights that transformed how teams understand profitability, customers, and region-level drivers.
Drawing from a cross-section of retail performance, Scoop’s agentic analytics pipeline swiftly transformed 9-company benchmarking data into actionable insights—identifying the operational and digital levers linked to top-quartile industry performance.
Aggregating over 87,000 retail collection records, Scoop’s agentic AI pipeline revealed performance drivers behind a national footwear recycling program—enabling data-backed decisions that improved efficiency by up to 37%.
A rich US-wide sales and operations dataset met Scoop’s full-cycle AI pipeline—revealing drivers of margin loss and surfacing actionable strategies that increased profit potential across product and customer segments.
Leveraging a diverse menu review dataset, Scoop’s autonomous AI pipeline mapped granular drivers of burrito satisfaction, uncovering actionable insights that elevated both quality and customer engagement.
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