Expand
You have two critical questions: “Which customer is about to churn?” and “Which customer is ready for an upsell?” The answers? In your product data. Expand from DataviCloud connects your product usage data (internal database, Mixpanel, Pendo) with your CRM and uses predictive intelligence to surface at-risk and upsell-ready accounts before it's too late.
Overview
Get instant churn-risk alerts
See which accounts are dropping usage or ignoring key features. Our system highlights early-warning signals so your team can act before churn becomes a renewal problem.
Find ready-to-upgrade customers
Identify accounts that hit feature limits, explore premium features, or match the behavior of your best upsell wins. No more guessing see exactly who is primed for expansion.
Act on the right account instantly
Your best opportunities both risks and upsell moments are pushed directly into Slack or your CRM. Your CSMs always know where to focus, without digging through dashboards.
The Problem
Your team is playing defense, constantly surprised by "happy" customers who churn. But just as damaging, you're leaving money on the table. You have no data-driven way to find your best customers—the ones ready for a cross-sell or upgrade so your expansion targets are a guessing game.
The Root Cause: A Data Silo
The critical gaps in your Net Revenue Retention (NRR) strategy stem from a data silo, forcing Customer Success Managers (CSMs) to operate reactively, missing early churn signals and failing to capitalize on product-qualified expansion opportunities. This separation of usage insights from relationship data prevents a unified, approach to customer growth.
You're suffering from:
Surprise Churn:
Being blindsided by "happy" customers who leave, is a reactive cycle, wasting valuable time.
Reactive Fire-Drills:
Clients are left to navigate complex challenges with minimal expert support.
Missed Expansion Revenue:
You have no idea which accounts are "product-qualified" and ready for an upsell.
Inefficient CS Teams:
Your team treats every account the same because they don't know which ones are at risk or ready to grow.
Solutions
DataviCloud unifies your product and revenue data into a single, 360° customer health view. AI agents continuously track adoption signals to predict churn and expansion opportunities.
How It Works
We unify your product and CRM data, analyze it for churn and expansion signals, and deliver timely alerts so your team always knows where to act for maximum impact.
Connect:
We unify your product telemetry data (Mixpanel, Pendo, etc.) with your CRM (Salesforce) into a single customer view.
Analyze:
Our predictive models identify both churn-risk patterns and high-value expansion signals based on feature adoption and usage.
Alert & Act:
Proactive, targeted alerts for both at-risk accounts and expansion opportunities are sent directly to your CS team in Slack and Salesforce.
KEY FEATURES
The DataviCloud Expand GTM Platform empowers your team to move beyond simply managing customer issues to actively driving revenue growth. We leverage predictive marketing automation to pinpoint promising accounts and automatically notify your teams for timely follow-ups, engaging and cultivating opportunities precisely when the timing is optimal.
Key Difference
This isn't just another siloed "customer success" app. It's a solution built on our core GTM OS, powered by the same clean, time-versioned ID graph as your sales and marketing data. When you see a "Customer 360," you're really seeing the full 360-degree view—from their first marketing touch to their latest product login to their original deal size.
Unified GTM OS
ID Graph Powered
True 360 View
Predictive Insights
Time-Versioned Data
Integrations
Align product adoption with revenue growth
Expand by DataviCloud turns your product usage and customer interaction data into actionable revenue insights—so Product, CS, and Product Marketing teams can spot at-risk accounts, double down on high-potential customers, and drive expansion, all this seamlessly
High-value accounts first
Score accounts by usage, industry, and size so teams focus only on high-potential customers.
Product to revenue link
Connect feature adoption with renewals and expansion to show which behaviors actually drive revenue growth.
Upsell signals, not guesses
Use usage thresholds and engagement patterns to surface warm upsell opportunities for sales teams.
Catch churn risk early
Flag declining usage or stalled onboarding early so CS can trigger structured save plays.
FAQ
CUSTOMER STORIES
Shashidhar Rao,
Product Marketing Leader, Keka
"DataviCloud helped us turn product usage into real revenue impact."
Before using DataviCloud, it was challenging to identify top accounts based on product usage for our Product and Product Marketing teams to focus on the right adoption initiatives and pinpoint common pain points.
Another challenge was that we didn't have a structured approach for account farming. Since partnering with DataviCloud, we've implemented a clear, usage-based scoring model that segments insights by industry, company size, and more.
The farming framework we co-developed with their team has enabled us to grow key accounts with greater confidence and precision. It also had a direct and positive impact on our revenue growth. Product usage insights are a goldmine for any PMM. Huge thanks to the DataviCloud team for helping us unlock these and scale smarter."