GrowthCues Use Cases: Move from Reactive to Proactive

Your day starts. Which of your 100+ accounts need focus? You might scan a CRM list, check recent support tickets, look at a generic health score dashboard, or simply wait for inbound requests or escalations. It's often guesswork, leading to missed opportunities with growing accounts while fire-fighting existing issues.

Start your day with the Daily Account Highlights and/or Daily Product Growth Digest. Instantly see a prioritized list of accounts flagged as 'At Risk' (with context on why) and top 'Growing' accounts (with context). GrowthCues does the initial analysis across your entire base, telling you exactly where to focus your limited time for maximum impact today.

Prepping for a customer check-in or QBR involves juggling tabs: checking CRM notes, trying to decipher usage patterns in a separate analytics tool, maybe a quick LinkedIn/website search for company updates, and looking at recent support interactions. It takes significant time and context can still be missed.

Open the Intelligent Account Profile for the specific account. Instantly get the Actionable Account Summary (current state, recommendations, external context) and quickly check recent Account Engagement View trends or Customer Journey Analysis. You get a holistic, up-to-date picture in minutes, enabling more informed conversations.

Churn signals often appear too late (low NPS, cancellation request, support escalations). Standard analytics show past drops but don't reliably predict or explain why risk is increasing now.

GrowthCues continuously analyzes product usage behavior using custom-trained models. Intelligent Insights (surfaced in Digests, Highlights, and Profiles) flag accounts with increasing predicted churn risk based on leading behavioral indicators. Crucially, it also explains the key factors driving that risk prediction, allowing you to understand the specific problem and tailor your intervention effectively before the customer mentally checks out.

You track overall onboarding or trial conversion rates, but only realize individual accounts failed after the fact, often through inactivity or support tickets. You lack visibility into who is getting stuck during the process and why.

Define key customer journeys (like "Trial-to-Paid" or "Account Activation") with usage-based milestones in GrowthCues. Then, use the Customer Journey Analysis view daily or frequently. It predicts the likelihood of individual accounts completing the journey and, critically, identifies the specific behavioral blockers hindering their progress (or drivers helping them). This allows your team to intervene during the journey with highly targeted guidance or support exactly when and where it's needed to improve success rates.

In your product, many new accounts sign up but never fully activate or reach their "Aha!" moment as a team. Manually tracking every account's onboarding progress across multiple users is impossible, meaning potentially valuable customers silently churn before experiencing core value.

Define your key activation milestones within GrowthCues. Core Insights flag accounts currently lagging and provide recommendations based on the current state, while Intelligent Insights use predictive AI to pinpoint those showing early behaviors highly correlated with failing to activate later, and especially help explain why an account might be stuck (e.g., friction points revealed in usage patterns), presented clearly within enriched Intelligent Account Profiles, enabling precisely targeted automated nudges or timely support.

Outcome: Reduce early account churn by proactively identifying and addressing activation roadblocks using automated tracking, predictive flagging, and explained insights presented with full company context.

Individual user activity can be misleading; true B2B value comes from account-wide adoption and stickiness. Measuring and understanding this deeper account engagement is difficult with user-centric tools or manual analysis.

Automated Product Analytics calculates crucial account-level B2B SaaS metrics (like DAA/WAA/MAA, Account Stickiness) daily. Core Insights provide clear summaries of these trends. For deeper understanding, Intelligent Insights identify pre-emptively accounts with declining retention, crucially explaining the likely behavioral reasons why engagement might be shallow. These account-level metrics and insights are readily available within Intelligent Account Profiles, guiding targeted campaigns or educational content to deepen product embedment.

Outcome: Gain a reliable view of true account health and engagement, allowing you to focus PLG efforts on increasing product engagement and long-term value across customer organizations.

In low-touch models, churn often happens silently. Lagging indicators like inactivity or surveys are too late. Teams need early warnings based on subtle behavioral shifts across the entire account.

Intelligent Insights are the core here. Predictive AI, custom-trained on your data, analyzes account-wide usage behavior to forecast churn before it happens. Importantly, explainable AI pinpoints the specific behavioral drivers contributing to the risk (e.g., key features dropped by multiple users, decreased collaboration patterns). These critical alerts and explanations surface clearly on Intelligent Account Profiles and can be pushed via Slack Integration, enabling timely, targeted, data-informed interventions (automated or human) before it’s too late.

Outcome: Significantly reduce churn by acting on early, predictive warnings based on actual account behavior, understanding the specific reasons behind the risk for more effective interventions.

Moving accounts from free/lower tiers to paid/higher tiers proactively (Product-Led Sales or upsell) requires identifying the right triggers beyond just hitting usage limits. Many expansion opportunities based on realized value are missed.

Intelligent Insights analyze usage patterns to identify accounts exhibiting behaviors strongly correlated with successful upgrades or needing advanced features (e.g., consistent "power use" patterns, high adoption of specific feature sets). These signals, viewed within the Intelligent Account Profiles (which include firmographic context), provide objective, data-driven triggers for targeted expansion outreach by sales/CS or automated in-app upgrade prompts.

Outcome: Drive revenue growth by systematically identifying and acting on expansion-ready accounts based on deep analysis of their product behavior and demonstrated value realization.