Frequently Asked Questions

Retention Intelligence is an AI-native platform designed to measure and act on revenue durability across the full GTM system. RI connects sales, onboarding, product usage, support, pricing, and customer data to identify which revenue is structurally likely to retain, expand, or churn. Our agent, RIA, turns those signals into playbooks and campaigns that drive durable revenue.

Traditional churn tools stop at account-level risk scores after negative behavior appears. RI identifies structural patterns across acquisition, onboarding, pricing, product adoption, and GTM execution before churn shows up in lagging metrics. RIA operationalizes the response with cross-functional playbooks and campaigns, not just dashboards.

No. Customer Success platforms help CS teams manage accounts and workflows. RI is a company-wide retention system: it surfaces the operational and revenue patterns driving retention, churn, and expansion, and RIA executes playbooks and campaigns across sales, onboarding, CS, and marketing to act on them.

RI identifies cohort-level patterns tied to acquisition channels, sales motions, onboarding execution, pricing structure, product engagement, discounting, expansion behavior, and retention outcomes. RIA then converts those patterns into prioritized playbooks and campaigns mapped to the teams that own them.

RIA generates retention playbooks, executive summaries, onboarding recommendations, multi-step campaign workflows, churn analyses, expansion opportunities, and cross-functional operational actions, all grounded in live GTM data and ready to launch across sales, onboarding, CS, and marketing.

Most companies receive initial revenue durability insights within minutes of ingestion, even in fragmented or imperfect data environments. RIA can begin drafting playbooks and campaigns off those signals in the same session.

RI makes RevOps, analytics, and GTM teams more efficient and scalable by automating the heavy lift of correlating signals across disconnected systems and surfacing the operational patterns driving revenue durability. RIA then takes the next step, turning that analysis into playbooks and campaigns those teams can launch without adding headcount.

Yes. RI surfaces structural risk signals tied to low-durability revenue long before renewal cycles begin, and RIA generates the intervention playbooks, expansion motions, and onboarding campaigns to act on them while there's still time to change the outcome.

Health scores and sentiment indicators are lagging, account-level measurements. RI analyzes cross-functional operational patterns that influence long-term revenue durability across the entire GTM system. RIA closes the loop by launching the playbooks and campaigns that change those patterns, not just report on them.

Acquisition became highly systemized over the last decade. Post-sale largely remained fragmented and reactive. As AI raises operational efficiency expectations across SaaS, companies need systems that not only identify durable revenue but also act on it, which is exactly what RI plus RIA delivers before scale amplifies churn and weak retention patterns.