Build experiences that retain customers and drive growth
Most product analytics tools tell you what users are doing. QuadSci tells you what it's worth. By connecting your product telemetry to Salesforce, we surface the features, behaviors, and patterns that actually drive retention — and the signals that put revenue at risk. Delivered via Q Chat directly into your workflows, so your team can act without leaving the tools they already use.
Your usage data hasno economic weight
Product teams can see which features get clicked. What they can't see is whether those features are driving retention for the accounts that matter. A feature used by 400 free-tier users looks healthier than one critical to three enterprise accounts worth $1.2M ARR. Without revenue context, data can lead in the opposite direction of value.
- Features are prioritized by engagement volume, not revenue impact
- Adoption metrics look strong even as high-ARR accounts quietly disengage
- Churn signals surface after the decision to leave has already been made
- Roadmap decisions are disconnected from the outcomes they're supposed to drive
- Product and Customer Success operate on different data with no shared view of risk
The problem isn't a lack of data. It's that the data you have isn't weighted by what it costs you to be wrong.
From usage patterns torevenue intelligence
Understand what actually drives retention
Not all usage is equal. QuadSci connects your product telemetry to CRM data to identify which features and behaviors correlate with renewal, expansion, and long-term retention, weighted by the ARR behind each account.
- See which features drive sustained engagement among your highest-value accounts
- Understand the paths customers take to reach — and stay at — value
- Distinguish between usage that looks good and usage that predicts growth
Identify risk before it becomes churn
Churn doesn't happen all at once. It builds over time. QuadSci surfaces early behavioral signals of disengagement so your team can intervene while there's still time to act.
- Detect changes in usage patterns before engagement fully drops off
- Prioritize at-risk accounts by the ARR they represent
- Give Customer Success a product-grounded view of where to focus
Prioritize the roadmap with revenue context
Every roadmap is a set of tradeoffs. QuadSci connects product decisions to downstream revenue outcomes, so you're building for the accounts and behaviors that drive revenue, not clicks.
- Focus investment on features with a proven link to retention and expansion
- Identify onboarding gaps that slow high-value accounts from reaching value
- Make prioritization calls you can defend with revenue data, not just usage volume
Power product-led growth with signal
PLG depends on users reaching value quickly and consistently. QuadSci maps which user journeys convert and which stall, tied to the accounts where it matters most.
- Identify the journeys that reliably lead to activation and expansion
- Surface friction points that block adoption among high-potential accounts
- Connect product usage to the revenue outcomes your PLG motion is supposed to drive
Built for how productactually works
Insights that reach you in your workflow. Product teams don't need another dashboard to check. They need the right insight at the right moment. Q Chat delivers revenue-weighted product intelligence directly into the tools your team already uses.
- Get answers without switching context or pulling a report
- Move from signal to decision in the same workflow
- Spend less time interpreting data, more time acting on it
What this unlocks
Know which features are responsible for your highest-ARR retention
Catch at-risk accounts before churn is already decided
Prioritize roadmap investments with revenue data behind them
Align Product and CS on a shared, revenue-weighted view of risk
Build what drives value
Product success isn't measured in clicks. It's measured in whether your customers find value, stay, and grow. QuadSci gives your team the revenue context to know the difference and act before it's too late.
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