AI makes cross‑sell predictable by moving from generic blasts to evidence‑based next‑best‑actions. The winning loop unifies product and commercial data into a Customer 360, predicts which add‑ons genuinely increase value (uplift, not just propensity), tailors offers and pricing to context, delivers them in‑product and via CRM at the right time, and measures incremental revenue per … Read more
AI improves retention when it converts signals into timely, explainable actions that fix value gaps before renewal. The winning approach blends calibrated health and intent models, uplift‑ranked save plays, role‑aware journeys, and evidence‑grounded support—wired to CRMs/billing/product with approvals, audit logs, and strict performance/cost SLOs. Track saves and expansion alongside “cost per successful action,” not just … Read more
AI lifts SaaS engagement when it turns signals into timely, personalized actions that help customers succeed—without adding noise. The winning pattern blends explainable health and intent signals, uplift‑ranked next‑best actions (NBA), in‑app guidance and search that actually solve problems, and multichannel orchestration with frequency/fairness guardrails. Treat engagement like an SLO: measure time‑to‑value, feature adoption, active … Read more