Expand
Your Product Data is a Goldmine for NRR. (If You Can Use It.)
Your Product Data is a Goldmine for NRR. (If You Can Use It.)
Your Product Data is a Goldmine for NRR. (If You Can Use It.)
Your Product Data is a Goldmine for NRR. (If You Can Use It.)
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
Trun Product Data Into Your
#1 Revenue Engine
Trun Product Data Into Your
#1 Revenue Engine
Trun Product Data Into Your
#1 Revenue Engine
Unlock predictable NRR Growth
Unlock predictable NRR Growth
Unlock predictable NRR Growth
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 CSMs are Flying Blind.
Your NRR is Paying the Price.
Your CSMs are Flying Blind.
Your NRR is Paying the Price.
Your CSMs are Flying Blind.
Your NRR is Paying the Price.
Your CSMs are Flying Blind.
Your NRR is Paying the Price.
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
Product Usage
Product Usage
Your Product Usage Data (in Pendo, Mixpanel) is trapped with the Product team.
Your Product Usage Data (in Pendo, Mixpanel) is trapped with the Product team.
Customer Engagement
Customer Engagement
Your Relationship Data (in Salesforce, Gong) is trapped with the CS team.
Your Relationship Data (in Salesforce, Gong) is trapped with the CS team.
Marketing Funnel
Marketing Funnel
Your Customer Journey Data (in Hubspot, Marketo) is trapped the Marketing Team.
Your Customer Journey Data (in Hubspot, Marketo) is trapped the Marketing Team.
The Critical Gaps in Your NRR Strategy
The Critical Gaps in Your NRR Strategy
The Critical Gaps in Your NRR Strategy
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.
Surprise Churn:
Being blindsided by "happy" customers who leave, is a reactive cycle, wasting valuable time.
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.
Reactive Fire-Drills:
Clients are left to navigate complex challenges with minimal expert support.
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.
Missed Expansion Revenue:
You have no idea which accounts are "product-qualified" and ready for an upsell.
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.
Inefficient CS Teams:
Your team treats every account the same because they don't know which ones are at risk or ready to grow.
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
The Proactive Revenue Engine for
Customer Success
The Proactive Revenue Engine for
Customer Success
The Proactive Revenue Engine for
Customer Success
The Proactive Revenue Engine for
Customer Success
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.
Always-On Intelligence for Customer Growth
Always-On Intelligence for Customer Growth
Always-On Intelligence for Customer Growth
Always-On Intelligence for Customer Growth
Expand unifies your product and revenue data into a clear view of customer health. It tracks adoption around the clock, flags churn risks, and surfaces growth opportunities. Your team gets actions they can use, not long reports. Improve retention, unlock expansion, and give every team a shared view to grow customer lifetime value.
Book A Demo
Expand unifies your product and revenue data into a clear view of customer health. It tracks adoption around the clock, flags churn risks, and surfaces growth opportunities. Your team gets actions they can use, not long reports. Improve retention, unlock expansion, and give every team a shared view to grow customer lifetime value.
Book A Demo
Expand unifies your product and revenue data into a clear view of customer health. It tracks adoption around the clock, flags churn risks, and surfaces growth opportunities. Your team gets actions they can use, not long reports. Improve retention, unlock expansion, and give every team a shared view to grow customer lifetime value.
Book A Demo
How It Works
A simple, clear 3-step process to turn your customer data into action.
A simple, clear 3-step process to turn your customer data into action.
A simple, clear 3-step process to turn your customer data into action.
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.
Analyze:
Our predictive models identify both churn-risk patterns and high-value expansion signals based on feature adoption and usage.
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.
Alert & Act:
Proactive, targeted alerts for both at-risk accounts and expansion opportunities are sent directly to your CS team in Slack and Salesforce.
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
From 'Reactive' to 'Revenue-Focused'
From 'Reactive' to 'Revenue-Focused'
From 'Reactive' to 'Revenue-Focused'
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.
Arrest Churn with Predictive "Save" Alerts
Arrest Churn with Predictive "Save" Alerts
Arrest Churn with Predictive "Save" Alerts
Arrest Churn with Predictive "Save" Alerts
What it is:
Get a single health score (Red, Yellow, Green) for every account based on actual usage. When a high-value account's usage drops or they fail to adopt a "sticky" feature, our agent automatically sends a "Save Alert" to your CSM in Slack.
What it is:
Get a single health score (Red, Yellow, Green) for every account based on actual usage. When a high-value account's usage drops or they fail to adopt a "sticky" feature, our agent automatically sends a "Save Alert" to your CSM in Slack.
What it is:
Get a single health score (Red, Yellow, Green) for every account based on actual usage. When a high-value account's usage drops or they fail to adopt a "sticky" feature, our agent automatically sends a "Save Alert" to your CSM in Slack.
The Payoff:
Stop guessing. Focus your CSMs on the 20% of accounts that need them most. Intervene before they ask to churn and turn reactive fire-drills into proactive, data-driven saves.
The Payoff:
Stop guessing. Focus your CSMs on the 20% of accounts that need them most. Intervene before they ask to churn and turn reactive fire-drills into proactive, data-driven saves.
The Payoff:
Stop guessing. Focus your CSMs on the 20% of accounts that need them most. Intervene before they ask to churn and turn reactive fire-drills into proactive, data-driven saves.
Drive Expansion with "Product-Qualified" Alerts
Drive Expansion with "Product-Qualified" Alerts
Drive Expansion with "Product-Qualified" Alerts
Drive Expansion with "Product-Qualified" Alerts
What it is:
Our predictive analytics don't just find bad signals. They find good ones. We create "Product-Qualified Leads" (PQLs) by alerting you when a customer hits a feature limit, starts using a "Pro" feature, or shows behavior patterns of your best upsold accounts.
What it is:
Our predictive analytics don't just find bad signals. They find good ones. We create "Product-Qualified Leads" (PQLs) by alerting you when a customer hits a feature limit, starts using a "Pro" feature, or shows behavior patterns of your best upsold accounts.
What it is:
Our predictive analytics don't just find bad signals. They find good ones. We create "Product-Qualified Leads" (PQLs) by alerting you when a customer hits a feature limit, starts using a "Pro" feature, or shows behavior patterns of your best upsold accounts.
The Payoff:
Your data-driven engine. Stop cold-calling for upsells. Get a high-intent list of cross-sell and upsell opportunities with the reason why delivered to your team every day.
The Payoff:
Your data-driven engine. Stop cold-calling for upsells. Get a high-intent list of cross-sell and upsell opportunities with the reason why delivered to your team every day.
The Payoff:
Your data-driven engine. Stop cold-calling for upsells. Get a high-intent list of cross-sell and upsell opportunities with the reason why delivered to your team every day.
Key Difference
It's Not Another CS Tool. It's Your Unified GTM Platform.
It's Not Another CS Tool. It's Your Unified GTM Platform.
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
Unified GTM Platform
DataviCloud is not just a siloed Customer Success (CS) tool but a Unified Go-to-Market (GTM) Platform that integrates functions across sales, marketing, and customer success.
Unified GTM Platform
DataviCloud is not just a siloed Customer Success (CS) tool but a Unified Go-to-Market (GTM) Platform that integrates functions across sales, marketing, and customer success.
Unified GTM Platform
DataviCloud is not just a siloed Customer Success (CS) tool but a Unified Go-to-Market (GTM) Platform that integrates functions across sales, marketing, and customer success.
ID Graph Powered
The platform's foundation is a clean, time-versioned ID Graph, which links and cleans data from all systems (sales, marketing, product) using a single core identity.
ID Graph Powered
The platform's foundation is a clean, time-versioned ID Graph, which links and cleans data from all systems (sales, marketing, product) using a single core identity.
ID Graph Powered
The platform's foundation is a clean, time-versioned ID Graph, which links and cleans data from all systems (sales, marketing, product) using a single core identity.
True 360-Degree View
This unified data creates a complete 360-degree view of the customer, spanning their entire journey from the first marketing touch to the latest product login and original deal size.
True 360-Degree View
This unified data creates a complete 360-degree view of the customer, spanning their entire journey from the first marketing touch to the latest product login and original deal size.
True 360-Degree View
This unified data creates a complete 360-degree view of the customer, spanning their entire journey from the first marketing touch to the latest product login and original deal size.
Data Correlation
It shows how product adoption correlates with all other GTM data, moving beyond just isolated metrics.
Data Correlation
It shows how product adoption correlates with all other GTM data, moving beyond just isolated metrics.
Data Correlation
It shows how product adoption correlates with all other GTM data, moving beyond just isolated metrics.
Predictive Insights
The final result provides powerful, predictive insights on who to upsell and why, making growth strategy proactive and actionable.
Predictive Insights
The final result provides powerful, predictive insights on who to upsell and why, making growth strategy proactive and actionable.
Predictive Insights
The final result provides powerful, predictive insights on who to upsell and why, making growth strategy proactive and actionable.
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.
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.
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.
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
Frequently Asked Questions
Frequently Asked Questions
Frequently Asked Questions
Frequently Asked Questions
What is Expand? How does it increase Net Revenue Retention (NRR)?
Expand turns your product usage data into a revenue engine. It connects event-level data from your product analytics tools with your CRM and billing systems to answer two critical questions: "Which customer is about to churn?" and "Which customer is ready for an upsell?" You get predictive alerts that help your Customer Success (CS) team move from reactive fire-drills to proactive Net Revenue Retention (NRR) growth. You also get prescriptive data on how to go about upsell and cross-sell.
What is Expand? How does it increase Net Revenue Retention (NRR)?
Expand turns your product usage data into a revenue engine. It connects event-level data from your product analytics tools with your CRM and billing systems to answer two critical questions: "Which customer is about to churn?" and "Which customer is ready for an upsell?" You get predictive alerts that help your Customer Success (CS) team move from reactive fire-drills to proactive Net Revenue Retention (NRR) growth. You also get prescriptive data on how to go about upsell and cross-sell.
What is Expand? How does it increase Net Revenue Retention (NRR)?
Expand turns your product usage data into a revenue engine. It connects event-level data from your product analytics tools with your CRM and billing systems to answer two critical questions: "Which customer is about to churn?" and "Which customer is ready for an upsell?" You get predictive alerts that help your Customer Success (CS) team move from reactive fire-drills to proactive Net Revenue Retention (NRR) growth. You also get prescriptive data on how to go about upsell and cross-sell.
What is Expand? How does it increase Net Revenue Retention (NRR)?
Expand turns your product usage data into a revenue engine. It connects event-level data from your product analytics tools with your CRM and billing systems to answer two critical questions: "Which customer is about to churn?" and "Which customer is ready for an upsell?" You get predictive alerts that help your Customer Success (CS) team move from reactive fire-drills to proactive Net Revenue Retention (NRR) growth. You also get prescriptive data on how to go about upsell and cross-sell.
Expand vs. Product Analytics (Mixpanel, Pendo): Why do I need both?
Product analytics tools show you what users click. Expand shows you what it means for your revenue. Your product data is trapped in one silo, and your customer relationship data is in another. Expand bridges this gap, combining product events with CRM activity, support tickets, deal history, and billing data to give you the full 360-degree customer view. This is how you find "product-qualified" expansion opportunities and catch churn risk before it's too late.
Expand vs. Product Analytics (Mixpanel, Pendo): Why do I need both?
Product analytics tools show you what users click. Expand shows you what it means for your revenue. Your product data is trapped in one silo, and your customer relationship data is in another. Expand bridges this gap, combining product events with CRM activity, support tickets, deal history, and billing data to give you the full 360-degree customer view. This is how you find "product-qualified" expansion opportunities and catch churn risk before it's too late.
Expand vs. Product Analytics (Mixpanel, Pendo): Why do I need both?
Product analytics tools show you what users click. Expand shows you what it means for your revenue. Your product data is trapped in one silo, and your customer relationship data is in another. Expand bridges this gap, combining product events with CRM activity, support tickets, deal history, and billing data to give you the full 360-degree customer view. This is how you find "product-qualified" expansion opportunities and catch churn risk before it's too late.
Expand vs. Product Analytics (Mixpanel, Pendo): Why do I need both?
Product analytics tools show you what users click. Expand shows you what it means for your revenue. Your product data is trapped in one silo, and your customer relationship data is in another. Expand bridges this gap, combining product events with CRM activity, support tickets, deal history, and billing data to give you the full 360-degree customer view. This is how you find "product-qualified" expansion opportunities and catch churn risk before it's too late.
Does Expand replace Pendo or Mixpanel?
No, it amplifies them. Expand doesn't replace Pendo or Mixpanel—it makes them significantly more valuable by connecting product usage directly to actual revenue outcomes. Product teams, CS, and RevOps finally see the same unified view of each account, ensuring everyone is working from a single source of truth.
Does Expand replace Pendo or Mixpanel?
No, it amplifies them. Expand doesn't replace Pendo or Mixpanel—it makes them significantly more valuable by connecting product usage directly to actual revenue outcomes. Product teams, CS, and RevOps finally see the same unified view of each account, ensuring everyone is working from a single source of truth.
Does Expand replace Pendo or Mixpanel?
No, it amplifies them. Expand doesn't replace Pendo or Mixpanel—it makes them significantly more valuable by connecting product usage directly to actual revenue outcomes. Product teams, CS, and RevOps finally see the same unified view of each account, ensuring everyone is working from a single source of truth.
Does Expand replace Pendo or Mixpanel?
No, it amplifies them. Expand doesn't replace Pendo or Mixpanel—it makes them significantly more valuable by connecting product usage directly to actual revenue outcomes. Product teams, CS, and RevOps finally see the same unified view of each account, ensuring everyone is working from a single source of truth.
How is Expand different from other Customer Success (CS) tools?
Expand isn't another siloed CS tool. It's built on DataviCloud's unified GTM OS platform, which means:
The same clean, time-versioned ID graph powers your sales, marketing, and CS data.
You see the complete customer journey from first marketing touch to latest product login to original deal size.
Product adoption data correlates with all your GTM data for truly predictive insights.
One shared source of truth across Product, CS, Sales, Marketing, and Finance.
How is Expand different from other Customer Success (CS) tools?
Expand isn't another siloed CS tool. It's built on DataviCloud's unified GTM OS platform, which means:
The same clean, time-versioned ID graph powers your sales, marketing, and CS data.
You see the complete customer journey from first marketing touch to latest product login to original deal size.
Product adoption data correlates with all your GTM data for truly predictive insights.
One shared source of truth across Product, CS, Sales, Marketing, and Finance.
How is Expand different from other Customer Success (CS) tools?
Expand isn't another siloed CS tool. It's built on DataviCloud's unified GTM OS platform, which means:
The same clean, time-versioned ID graph powers your sales, marketing, and CS data.
You see the complete customer journey from first marketing touch to latest product login to original deal size.
Product adoption data correlates with all your GTM data for truly predictive insights.
One shared source of truth across Product, CS, Sales, Marketing, and Finance.
How is Expand different from other Customer Success (CS) tools?
Expand isn't another siloed CS tool. It's built on DataviCloud's unified GTM OS platform, which means:
The same clean, time-versioned ID graph powers your sales, marketing, and CS data.
You see the complete customer journey from first marketing touch to latest product login to original deal size.
Product adoption data correlates with all your GTM data for truly predictive insights.
One shared source of truth across Product, CS, Sales, Marketing, and Finance.
What product analytics tools (like Pendo, Mixpanel, etc.) can you integrate with?
Our platform offers pre-built connectors for all major product analytics tools, including Pendo, Mixpanel, Amplitude, and Gainsight. We also integrate directly with data warehouses like Snowflake where your raw product telemetry might live. We unify this product telemetry with your CRM (Salesforce, HubSpot) and other systems to create a single customer 360 view.
What product analytics tools (like Pendo, Mixpanel, etc.) can you integrate with?
Our platform offers pre-built connectors for all major product analytics tools, including Pendo, Mixpanel, Amplitude, and Gainsight. We also integrate directly with data warehouses like Snowflake where your raw product telemetry might live. We unify this product telemetry with your CRM (Salesforce, HubSpot) and other systems to create a single customer 360 view.
What product analytics tools (like Pendo, Mixpanel, etc.) can you integrate with?
Our platform offers pre-built connectors for all major product analytics tools, including Pendo, Mixpanel, Amplitude, and Gainsight. We also integrate directly with data warehouses like Snowflake where your raw product telemetry might live. We unify this product telemetry with your CRM (Salesforce, HubSpot) and other systems to create a single customer 360 view.
What product analytics tools (like Pendo, Mixpanel, etc.) can you integrate with?
Our platform offers pre-built connectors for all major product analytics tools, including Pendo, Mixpanel, Amplitude, and Gainsight. We also integrate directly with data warehouses like Snowflake where your raw product telemetry might live. We unify this product telemetry with your CRM (Salesforce, HubSpot) and other systems to create a single customer 360 view.
Is the "Product Adoption Score" a black box, or can I customize it?
It is 100% customizable. You know your product best. Our platform lets you define what "healthy" adoption means for your business. You can set the weights for key "sticky" features, login frequency, and user seat activation to create a custom, predictive Customer Health Score that accurately reflects your customers' success and signals risk specific to your business model.
Is the "Product Adoption Score" a black box, or can I customize it?
It is 100% customizable. You know your product best. Our platform lets you define what "healthy" adoption means for your business. You can set the weights for key "sticky" features, login frequency, and user seat activation to create a custom, predictive Customer Health Score that accurately reflects your customers' success and signals risk specific to your business model.
Is the "Product Adoption Score" a black box, or can I customize it?
It is 100% customizable. You know your product best. Our platform lets you define what "healthy" adoption means for your business. You can set the weights for key "sticky" features, login frequency, and user seat activation to create a custom, predictive Customer Health Score that accurately reflects your customers' success and signals risk specific to your business model.
Is the "Product Adoption Score" a black box, or can I customize it?
It is 100% customizable. You know your product best. Our platform lets you define what "healthy" adoption means for your business. You can set the weights for key "sticky" features, login frequency, and user seat activation to create a custom, predictive Customer Health Score that accurately reflects your customers' success and signals risk specific to your business model.
What is Account Health Scoring and how does it work?
Every account is automatically scored and segmented into Growth, Nurture, Dormant, and At-Risk categories based on your custom adoption score. This means your CSMs instantly know which 20% of accounts need attention most, PMs understand which features drive success, and PMMs can target campaigns based on real adoption patterns—not gut feel.
What is Account Health Scoring and how does it work?
Every account is automatically scored and segmented into Growth, Nurture, Dormant, and At-Risk categories based on your custom adoption score. This means your CSMs instantly know which 20% of accounts need attention most, PMs understand which features drive success, and PMMs can target campaigns based on real adoption patterns—not gut feel.
What is Account Health Scoring and how does it work?
Every account is automatically scored and segmented into Growth, Nurture, Dormant, and At-Risk categories based on your custom adoption score. This means your CSMs instantly know which 20% of accounts need attention most, PMs understand which features drive success, and PMMs can target campaigns based on real adoption patterns—not gut feel.
What is Account Health Scoring and how does it work?
Every account is automatically scored and segmented into Growth, Nurture, Dormant, and At-Risk categories based on your custom adoption score. This means your CSMs instantly know which 20% of accounts need attention most, PMs understand which features drive success, and PMMs can target campaigns based on real adoption patterns—not gut feel.
How does Expand predict Customer Churn and identify At-Risk Accounts?
Expand's AI monitors product adoption 24/7, watching for early warning signals like usage drops, stalled onboarding, declining engagement with sticky features, or silent accounts. When our predictive models spot a pattern that matches your historical churn accounts, your CSM gets an automatic alert with the reason and suggested next steps—before the customer asks to leave. We call this our "defense" feature.
How does Expand predict Customer Churn and identify At-Risk Accounts?
Expand's AI monitors product adoption 24/7, watching for early warning signals like usage drops, stalled onboarding, declining engagement with sticky features, or silent accounts. When our predictive models spot a pattern that matches your historical churn accounts, your CSM gets an automatic alert with the reason and suggested next steps—before the customer asks to leave. We call this our "defense" feature.
How does Expand predict Customer Churn and identify At-Risk Accounts?
Expand's AI monitors product adoption 24/7, watching for early warning signals like usage drops, stalled onboarding, declining engagement with sticky features, or silent accounts. When our predictive models spot a pattern that matches your historical churn accounts, your CSM gets an automatic alert with the reason and suggested next steps—before the customer asks to leave. We call this our "defense" feature.
How does Expand predict Customer Churn and identify At-Risk Accounts?
Expand's AI monitors product adoption 24/7, watching for early warning signals like usage drops, stalled onboarding, declining engagement with sticky features, or silent accounts. When our predictive models spot a pattern that matches your historical churn accounts, your CSM gets an automatic alert with the reason and suggested next steps—before the customer asks to leave. We call this our "defense" feature.
How does Expand identify Product-Qualified Leads and Upsell Opportunities?
This is our "offense" feature. We call the output Product-Qualified Leads (PQLs). You can configure our AI to proactively alert your CS or Sales team when an account shows strong upsell signals, such as:
Hitting a feature or API limit.
High usage of "Pro" plan features on a lower-tier subscription.
Visiting the "Enterprise" pricing page or high-value feature documentation. It's a data-driven list of expansion opportunities, served on a silver platter.
How does Expand identify Product-Qualified Leads and Upsell Opportunities?
This is our "offense" feature. We call the output Product-Qualified Leads (PQLs). You can configure our AI to proactively alert your CS or Sales team when an account shows strong upsell signals, such as:
Hitting a feature or API limit.
High usage of "Pro" plan features on a lower-tier subscription.
Visiting the "Enterprise" pricing page or high-value feature documentation. It's a data-driven list of expansion opportunities, served on a silver platter.
How does Expand identify Product-Qualified Leads and Upsell Opportunities?
This is our "offense" feature. We call the output Product-Qualified Leads (PQLs). You can configure our AI to proactively alert your CS or Sales team when an account shows strong upsell signals, such as:
Hitting a feature or API limit.
High usage of "Pro" plan features on a lower-tier subscription.
Visiting the "Enterprise" pricing page or high-value feature documentation. It's a data-driven list of expansion opportunities, served on a silver platter.
How does Expand identify Product-Qualified Leads and Upsell Opportunities?
This is our "offense" feature. We call the output Product-Qualified Leads (PQLs). You can configure our AI to proactively alert your CS or Sales team when an account shows strong upsell signals, such as:
Hitting a feature or API limit.
High usage of "Pro" plan features on a lower-tier subscription.
Visiting the "Enterprise" pricing page or high-value feature documentation. It's a data-driven list of expansion opportunities, served on a silver platter.
Where do Expand's insights show up? Do they have to log into another platform?
No, logging into another platform is not required. This is a critical part of our design. We are an "action" platform, not just an "analytics" one. All predictive alerts—both "Churn Alerts" (defense) and "Expansion Alerts" (offense)—are automatically pushed directly into the tools your team already uses, like Slack, Teams, and Salesforce. Day-to-day actions happen seamlessly within your existing workflow.
Where do Expand's insights show up? Do they have to log into another platform?
No, logging into another platform is not required. This is a critical part of our design. We are an "action" platform, not just an "analytics" one. All predictive alerts—both "Churn Alerts" (defense) and "Expansion Alerts" (offense)—are automatically pushed directly into the tools your team already uses, like Slack, Teams, and Salesforce. Day-to-day actions happen seamlessly within your existing workflow.
Where do Expand's insights show up? Do they have to log into another platform?
No, logging into another platform is not required. This is a critical part of our design. We are an "action" platform, not just an "analytics" one. All predictive alerts—both "Churn Alerts" (defense) and "Expansion Alerts" (offense)—are automatically pushed directly into the tools your team already uses, like Slack, Teams, and Salesforce. Day-to-day actions happen seamlessly within your existing workflow.
Where do Expand's insights show up? Do they have to log into another platform?
No, logging into another platform is not required. This is a critical part of our design. We are an "action" platform, not just an "analytics" one. All predictive alerts—both "Churn Alerts" (defense) and "Expansion Alerts" (offense)—are automatically pushed directly into the tools your team already uses, like Slack, Teams, and Salesforce. Day-to-day actions happen seamlessly within your existing workflow.
How long does it take to connect our product data and start seeing alerts?
Because we are built on a powerful, unified platform, the time-to-value is very fast. Once we connect your product data source (Pendo/Mixpanel/Snowflake) and CRM (which can take a few days), our AI models begin working immediately. You can typically configure and launch your first set of custom churn and expansion alerts within the first two weeks.
How long does it take to connect our product data and start seeing alerts?
Because we are built on a powerful, unified platform, the time-to-value is very fast. Once we connect your product data source (Pendo/Mixpanel/Snowflake) and CRM (which can take a few days), our AI models begin working immediately. You can typically configure and launch your first set of custom churn and expansion alerts within the first two weeks.
How long does it take to connect our product data and start seeing alerts?
Because we are built on a powerful, unified platform, the time-to-value is very fast. Once we connect your product data source (Pendo/Mixpanel/Snowflake) and CRM (which can take a few days), our AI models begin working immediately. You can typically configure and launch your first set of custom churn and expansion alerts within the first two weeks.
How long does it take to connect our product data and start seeing alerts?
Because we are built on a powerful, unified platform, the time-to-value is very fast. Once we connect your product data source (Pendo/Mixpanel/Snowflake) and CRM (which can take a few days), our AI models begin working immediately. You can typically configure and launch your first set of custom churn and expansion alerts within the first two weeks.
What is the Accuracy of Expand's Churn and Upsell Predictions?
Accuracy improves as Expand learns from your specific customer patterns. The system analyzes your historical churns, renewals, and successful expansions to build predictive models tuned to your business. The more comprehensive customer lifecycle data you feed into the system, the more accurate and tailored the predictions become.
What is the Accuracy of Expand's Churn and Upsell Predictions?
Accuracy improves as Expand learns from your specific customer patterns. The system analyzes your historical churns, renewals, and successful expansions to build predictive models tuned to your business. The more comprehensive customer lifecycle data you feed into the system, the more accurate and tailored the predictions become.
What is the Accuracy of Expand's Churn and Upsell Predictions?
Accuracy improves as Expand learns from your specific customer patterns. The system analyzes your historical churns, renewals, and successful expansions to build predictive models tuned to your business. The more comprehensive customer lifecycle data you feed into the system, the more accurate and tailored the predictions become.
What is the Accuracy of Expand's Churn and Upsell Predictions?
Accuracy improves as Expand learns from your specific customer patterns. The system analyzes your historical churns, renewals, and successful expansions to build predictive models tuned to your business. The more comprehensive customer lifecycle data you feed into the system, the more accurate and tailored the predictions become.
Does Expand support both Product-Led Growth (PLG) and Sales-Led motions?
Yes. PLG teams get clear signals for activation, conversion triggers, and expansion timing. Sales-led teams see account health tied to deal size, upsell readiness based on feature adoption, and usage patterns that predict renewal risk. Expand adapts to your specific go-to-market motion.
Does Expand support both Product-Led Growth (PLG) and Sales-Led motions?
Yes. PLG teams get clear signals for activation, conversion triggers, and expansion timing. Sales-led teams see account health tied to deal size, upsell readiness based on feature adoption, and usage patterns that predict renewal risk. Expand adapts to your specific go-to-market motion.
Does Expand support both Product-Led Growth (PLG) and Sales-Led motions?
Yes. PLG teams get clear signals for activation, conversion triggers, and expansion timing. Sales-led teams see account health tied to deal size, upsell readiness based on feature adoption, and usage patterns that predict renewal risk. Expand adapts to your specific go-to-market motion.
Does Expand support both Product-Led Growth (PLG) and Sales-Led motions?
Yes. PLG teams get clear signals for activation, conversion triggers, and expansion timing. Sales-led teams see account health tied to deal size, upsell readiness based on feature adoption, and usage patterns that predict renewal risk. Expand adapts to your specific go-to-market motion.
Which Leaders and Teams Benefit Most from Expand?
Expand provides indispensable value to key revenue and product leaders:
VPs of Customer Success: To reduce churn, operationalize CS, and drive NRR growth.
VPs of Product: To validate product strategy by understanding which features drive retention and adoption.
Revenue Operations (RevOps) Leaders: To establish a single, unified source of truth for customer health and automation.
Product Marketing Managers: To build campaigns based on real usage patterns and feature adoption.
Which Leaders and Teams Benefit Most from Expand?
Expand provides indispensable value to key revenue and product leaders:
VPs of Customer Success: To reduce churn, operationalize CS, and drive NRR growth.
VPs of Product: To validate product strategy by understanding which features drive retention and adoption.
Revenue Operations (RevOps) Leaders: To establish a single, unified source of truth for customer health and automation.
Product Marketing Managers: To build campaigns based on real usage patterns and feature adoption.
Which Leaders and Teams Benefit Most from Expand?
Expand provides indispensable value to key revenue and product leaders:
VPs of Customer Success: To reduce churn, operationalize CS, and drive NRR growth.
VPs of Product: To validate product strategy by understanding which features drive retention and adoption.
Revenue Operations (RevOps) Leaders: To establish a single, unified source of truth for customer health and automation.
Product Marketing Managers: To build campaigns based on real usage patterns and feature adoption.
Which Leaders and Teams Benefit Most from Expand?
Expand provides indispensable value to key revenue and product leaders:
VPs of Customer Success: To reduce churn, operationalize CS, and drive NRR growth.
VPs of Product: To validate product strategy by understanding which features drive retention and adoption.
Revenue Operations (RevOps) Leaders: To establish a single, unified source of truth for customer health and automation.
Product Marketing Managers: To build campaigns based on real usage patterns and feature adoption.
Will Expand create more work for my Customer Success Managers (CSMs)?
Expand does the opposite. It stops your CSMs from treating every account the same or constantly reacting to surprises. They get a clear, prioritized list of which accounts need saving ("defense") and which are ready to grow ("offense"). This translates to less noise, more focus, and better outcomes.
Will Expand create more work for my Customer Success Managers (CSMs)?
Expand does the opposite. It stops your CSMs from treating every account the same or constantly reacting to surprises. They get a clear, prioritized list of which accounts need saving ("defense") and which are ready to grow ("offense"). This translates to less noise, more focus, and better outcomes.
Will Expand create more work for my Customer Success Managers (CSMs)?
Expand does the opposite. It stops your CSMs from treating every account the same or constantly reacting to surprises. They get a clear, prioritized list of which accounts need saving ("defense") and which are ready to grow ("offense"). This translates to less noise, more focus, and better outcomes.
Will Expand create more work for my Customer Success Managers (CSMs)?
Expand does the opposite. It stops your CSMs from treating every account the same or constantly reacting to surprises. They get a clear, prioritized list of which accounts need saving ("defense") and which are ready to grow ("offense"). This translates to less noise, more focus, and better outcomes.
How do I get started?
Book a demo and we'll show you where your churn and expansion signals are already hiding in your product data. We'll interpret your events, map them to customer outcomes, and demonstrate how Expand can turn your product data into a goldmine for NRR growth.
How do I get started?
Book a demo and we'll show you where your churn and expansion signals are already hiding in your product data. We'll interpret your events, map them to customer outcomes, and demonstrate how Expand can turn your product data into a goldmine for NRR growth.
How do I get started?
Book a demo and we'll show you where your churn and expansion signals are already hiding in your product data. We'll interpret your events, map them to customer outcomes, and demonstrate how Expand can turn your product data into a goldmine for NRR growth.
How do I get started?
Book a demo and we'll show you where your churn and expansion signals are already hiding in your product data. We'll interpret your events, map them to customer outcomes, and demonstrate how Expand can turn your product data into a goldmine for NRR growth.
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."
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See you in your inbox?
Ideas, frameworks and updates to help you get real intelligence out of your data.
© 2025 Datavi Cloud, Inc. All right reserved
See you in your inbox?
Ideas, frameworks and updates to help you get real intelligence out of your data.
© 2025 Datavi Cloud, Inc. All right reserved
See you in your inbox?
Ideas, frameworks and updates to help you get real intelligence out of your data.
© 2025 Datavi Cloud, Inc. All right reserved