What does Scoop Analytics do?

Scoop Analytics is an AI-powered data analytics platform that lets you connect data sources, ask questions in plain English, build dashboards, and get automatic insights, predictions, and investigations without needing SQL or coding.

Who is Scoop Analytics best for?

Scoop Analytics is best for ops leaders, business professionals in marketing, sales, or customer support, and non-technical users who need to analyze data from sources like Salesforce, HubSpot, or Google Analytics.

Do I need to install anything to use Scoop Analytics?

No, you do not need to install anything to use Scoop Analytics. It works through a web browser with quick setup using native connectors.

Does Scoop Analytics have a plan for teams or businesses?

Yes, Scoop Analytics has an enterprise tier called Domain Intelligence designed for businesses, with features like autonomous investigation and enterprise security.

Does Scoop Analytics offer an API or integrations?

Yes, Scoop Analytics offers 100+ native connectors for data sources like Salesforce, HubSpot, Google Analytics, Slack, Tableau, and Snowflake, plus natural language queries and AutoML.

How do I contact Scoop Analytics support?

Contact Scoop Analytics support through their website at scoopanalytics.com or check their docs at docs.scoopanalytics.com.

Scoop Analytics: Reviews, Pricing, Alternatives & Features (2026)

Promptmonitor — How often does AI recommend your brand to customers?

Fix That Now

Available Via:WebAPIChat Based

Visit Scoop Analytics

Scoop Analytics is a web-based AI data analytics and agentic BI platform for enterprise ops leaders, marketing teams, sales ops, and customer support teams that need answers from data without writing SQL.

Key capabilities include:

Natural language analytics that answers plain-English questions and runs multi-step investigations with confidence levels, including root-cause exploration and ML-driven pattern detection.
100+ data connectors for CRMs, marketing platforms, and warehouses (including Salesforce, HubSpot, Google Analytics, Meta Ads, Snowflake, and BigQuery), plus CSV/Excel uploads for ad hoc datasets.
An in-memory spreadsheet engine with 150+ Excel-compatible functions (for example, VLOOKUP and SUMIFS) designed to calculate on large datasets.
Automatic data snapshotting to build time-series datasets, plus Slack sharing with channel-inherited security for distributing insights where teams work.

Pricing: Paid (AI analytics request limits vary by tier starting at $9.95/mo to $99; lifetime deal available via AppSumo).

Notable for its three-layer approach, BI Foundation (connections, dashboards, reporting), AI Analytics (Q&A and investigations), and Domain Intelligence (autonomous insight discovery based on business context), plus Salesforce AppExchange support for dynamic dashboards and enterprise readiness (SOC 2 Type II).