Churn isn't a retention problem — it's an operations problem. Disconnected platforms, invisible signals, and manual lifecycle management are bleeding margin. We deploy AI agents that fix the system, then we stay and operate it.
Subscription businesses face unique margin pressures. Churn cost is the silent killer — every churned subscriber represents acquisition cost wasted. Integration sprawl across billing, CRM, support, and marketing creates operational overhead. And lifecycle management is often manual, meaning retention opportunities are missed at every stage.
Most subscription businesses are paying for 4-6 platforms that don't talk to each other, then hiring people to manually bridge the gaps. A subscriber cancels, and the support team doesn't know their email engagement dropped three weeks ago. A payment fails, and nobody triggers a recovery sequence because the billing platform doesn't talk to the email system. An upgrade opportunity is missed because the CRM doesn't have usage data from the product.
We've seen this pattern across every subscription engagement we've run. The fix isn't another tool — it's an AI-first operations layer that connects everything and acts on the signals automatically. That's what we deploy and operate.
We connect your subscription billing, CRM, email, and support platforms into a single operational view. Real-time data sync. Single subscriber view. At our active engagement, we unified Recharge, Monday.com, Klaviyo, and Gorgias — eliminating the manual CSV exports and hours wasted reconciling data across disconnected systems.
We deploy AI agents that combine engagement signals across platforms to identify at-risk subscribers before they cancel. Automated win-back sequences trigger based on churn score thresholds. This isn't a dashboard — it's an agent that runs 24/7 and acts. At our active engagement: 42% churn reduction.
We automate every lifecycle event: welcome sequences, payment failure recovery, upgrade prompts, renewal reminders, pause-instead-of-cancel flows. Each flow tracked against retention impact. We build these, deploy them, and then operate them ongoing — tuning and improving based on real subscriber behaviour.
We audit and consolidate fragmented marketing tools into a unified system. At one engagement, we consolidated 190 tools into a single platform driving £56K MRR. Fewer platforms, lower cost, better data, higher conversion. We run the consolidated stack after deployment.
We eliminate the 15+ hours per week teams spend on manual data pulls, cross-platform reconciliation, and cobbled-together reporting. Single dashboard. Automated KPIs. Your team focuses on strategy instead of spreadsheets. We operate the reporting layer so it stays accurate and up-to-date.
Subscription tier restructuring, upgrade path optimization, and AI-driven pricing analysis based on willingness-to-pay data. Clear value differentiation between tiers that drives natural upgrades and reduces price-driven churn. We test, deploy, and monitor the results.
All major subscription billing platforms, email marketing tools, CRM systems, and support platforms. We're platform-agnostic — we build integration layers that connect whatever you're running. At our active subscription engagement, we unified Recharge, Monday.com, Klaviyo, and Gorgias into a single operations hub.
We deploy AI agents that combine signals across platforms that are currently siloed. A subscriber whose email engagement is declining, who just filed a support ticket, and whose payment retry count is increasing is at much higher risk than any single signal would suggest. Our agents build churn scoring models, combine these signals, and trigger automated interventions. At our active engagement, this delivered a 42% churn reduction.
Quick wins within two weeks — report automation, KPI dashboards, disconnected systems joined up. Platform integration and single subscriber view: 2-4 weeks. Churn prediction and automated lifecycle flows: 4-6 weeks. We stay and operate the systems ongoing. Cost reduction workstreams start paying back within the first month.
Both. The operational challenges are similar: churn management, lifecycle automation, platform integration, and operational efficiency. The specific metrics differ (MRR vs. AOV, voluntary vs. involuntary churn), but the AI agents and methodology work the same way.
Base retainer plus a performance fee tied to the margin improvement we deliver. The retainer covers our team's operating costs. The performance fee means we only do well when you do well. Every initiative is tracked against EBITDA impact — churn rate reduction, operational cost savings, and revenue uplift are all transparent.
We'll review your subscriber economics, tech stack, churn patterns, and operational costs — then tell you straight where AI agents can improve your margin and what it would cost. Base retainer plus performance fee. No slide deck.