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DataviCloud Review: Revenue Intelligence Software

DataviCloud helps sales and revenue operations teams organize fragmented data into a single source of truth. It may be useful for businesses that need to identify churn risks or expansion opportunities using product usage data.

At a glance

Category
Sales
Best for
Sales Teams, Revenue Operations (RevOps) teams, B2B Data teams, SaaS businesses
Pricing
Paid plans start at $139/month for Startup/Solo, with Growth at $349/month, Pro at $799/month, and Enterprise at $1499/month. Optional add-ons include Outreach Seats ($79/month) and MEDDIC Autofill ($145/month).
Key use cases
Consolidating Fragmented Data, Automating Lead Research, Managing Net Revenue Retention, Ad-hoc Business Querying
Integrations
Salesforce, HubSpot, Gong, Mixpanel, Amplitude
Official website
datavicloud.com
Screenshot of DataviCloud website

DataviCloud is a revenue intelligence platform designed to help B2B sales, RevOps, and data teams manage revenue data. It works by ingesting data from various sources—including billing, product analytics, and CRM signals—into a unified identity graph to provide a comprehensive view of the revenue pipeline.

The software includes specialized AI agents: LEO focuses on lead enrichment and intent signals, while EXPAND monitors usage patterns to identify potential upsell or churn risks. It also features Qurie, a conversational analytics tool that allows users to query business data using natural language.

For buyers, the platform is designed to support revenue forecasting and deal risk detection. Because it relies on aggregating data from many different tools, buyers should confirm that their current data stack is compatible and that they have the internal resources to manage the data unification process.

Key Features

Unified Identity Graph

Ingests and cleans data from 400+ sources to help remove silos and create a single source of truth.

LEO AI Agent

Supports lead enrichment by identifying buying signals and intent data for targeting.

EXPAND AI Agent

Analyzes product usage patterns to trigger automated upsell plays and flag churn risks.

Qurie Conversational Analytics

A natural-language interface that allows users to ask business questions and receive visualized answers.

Revenue Forecasting

Uses AutoML and unified data to provide predictive insights into revenue and pipeline gaps.

Deal Risk Detection

Identifies potential risks in the pipeline to help teams course-correct using data-backed planning.

Use Cases

Consolidating Fragmented Data

Unifying signals from CRM, product, and billing tools into one view for revenue reporting.

Automating Lead Research

Using AI to enrich leads with intent data to identify accounts in active-buy mode.

Managing Net Revenue Retention

Monitoring product usage in real time to identify expansion opportunities and prevent churn.

Ad-hoc Business Querying

Using natural language to find specific insights, such as identifying high-usage accounts that are under-spent.

Best For

Sales TeamsRevenue Operations (RevOps) teamsB2B Data teamsSaaS businesses

Integrations

SalesforceHubSpotGongMixpanelAmplitude

Pricing

Paid plans start at $139/month for Startup/Solo, with Growth at $349/month, Pro at $799/month, and Enterprise at $1499/month. Optional add-ons include Outreach Seats ($79/month) and MEDDIC Autofill ($145/month).

FAQ

How is DataviCloud different from a standard CRM?

While a CRM acts as a history library, DataviCloud unifies signals from CRM, product, and billing data to support predictive forecasting and automated targeting.

Does the team need SQL or data science skills to use the platform?

No, the platform includes a feature called Qurie that allows users to ask business questions in natural language to get visualized answers.

What are the pricing options for DataviCloud?

Pricing ranges from a Startup/Solo tier at $139/month up to an Enterprise tier at $1499/month, with additional paid options for outreach seats and MEDDIC autofill.

Source category: Sales

Source subcategory: Analytics & Reporting

Categories:

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