Done-for-you offer · Fractional CMO with AI Swarm · churn-prediction-per-subscriber skill
Completions builds the per-location churn-prediction stack — local-signal features + uplift modeling + intervention
You operate a 5,000-500,000 subscriber base across 50-1,500 locations with 5-25% monthly churn that costs $500k-$10M ARR per year. Your CFO demands per-intervention ROI proof. Your CMO demands per-location feature engineering at scale. Your counsel demands FTC Negative Option + FTC Click-to-Cancel + state auto-renewal + ROSCA + HIPAA + FDA + DEA + TCPA + CAN -SPAM + CARD Act + 10DLC compliance on every intervention. Completions builds the churn-prediction-per-subscriber skill on the subscription-management agent end-to-end with per -subscriber churn probability + per-location local-signal feature engineering + per-cohort uplift modeling + per -subscriber pre-emptive intervention engine. You keep every artifact. You keep the subscriber data + features + model. You keep the ability to in-house at any time.
Published September 24, 2026
What we operate every week
Per-subscriber churn probability via gradient-boosted tree ensemble (XGBoost + LightGBM + CatBoost) + deep-tabular models (TabNet + TabTransformer + FT-Transformer) + survival analysis (Cox proportional hazards + DeepSurv + DeepHit + Random Survival Forest) with per-subscriber 7 -day + 14-day + 21-day + 30-day + 60-day + 90-day churn -probability forecast.
Per-location local-signal feature engineering across 50 -200 features per subscriber — per-location visit recency + visit frequency + class attendance + service usage + staff turnover + facility maintenance + community NPS + competitor proximity + weather + local-event calendar + seasonality + demographic shift + commute time + parking availability + amenity availability.
Per-cohort uplift modeling via CATE meta-learner ensemble (T/S/X/DR-learner + CausalML + DoubleML + EconML + Bayesian -treatment-effect + counterfactual-prediction + causal -forest) emits per-subscriber per-intervention uplift estimate.
Per-subscriber pre-emptive intervention engine routes 7-21 -day-ahead at-risk subscribers to per-intervention treatment (per-subscriber outreach + save-offer + retention-call + location-transfer + pause-membership + downgrade + concierge) with per-intervention budget cap + per-vertical compliance overlay covering HIPAA + FDA OPDP + DEA + FTC Negative Option + FTC Click-to-Cancel + state auto-renewal + ROSCA + CCPA + GDPR + TCPA + CAN-SPAM + CARD Act + 10DLC.
Why in-house breaks at multi-location subscription scale
Per-subscriber churn probability across 5,000-500,000 subscribers × 50-200 features × 6 forecast horizons requires production ML infrastructure. Per-location local -signal feature engineering across 50-1,500 locations × 50 -200 features × multi-source ingestion requires data -engineering capacity. Per-cohort uplift modeling via 10 -method CATE meta-learner ensemble requires data-science capacity. Per-subscriber pre-emptive intervention engine across 7 intervention types requires production routing infrastructure. Per-vertical compliance overlay covering 13+ regulatory frameworks requires legal-engineering capacity. Per-intervention treatment-assignment-protocol requires data-science capacity with experimental-design expertise. Cross-agent swarm coordination requires orchestration capacity.
Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement.
How the engagement progresses
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic). Completions audits the current operation across seven axes. Deliverable: gap-pack report with per-subscriber per-intervention expected-uplift estimate + projected ARR retention gain.
Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail). Completions builds the per-location churn-prediction stack on operator infrastructure — per-location-signal-aware-churn-model + per-subscriber-churn-probability + pre-emptive-churn -intervention-triggers + per-subscriber-uplift-modeling on subscription-management agent + multi-platform-subscription -billing-ingestion on multi-stream-subscription + save -offer-library-management on save-flow + subscriber -lifecycle-cadence on lifecycle-flow.
Tier 3 Fractional CMO with AI Swarm ($15-25k/ month, 6-month minimum, 1-2 days/wk embedded). Continues operating the stack with weekly per-subscriber churn probability refresh + monthly per-location feature engineering refresh + quarterly per-cohort uplift modeling refresh + per-event compliance overlay refresh + cross -agent swarm coordination.
Frequently asked
What does "Completions builds the per-location churn-prediction stack — local-signal features + uplift modeling + intervention" actually deliver?
Completions builds and operates per-subscriber churn probability + per-location local-signal feature engineering + per-cohort uplift modeling + per-subscriber pre-emptive intervention across the operator multi-location subscription base. Per-subscriber churn probability via gradient-boosted tree ensemble (XGBoost + LightGBM + CatBoost) + deep-tabular models (TabNet + TabTransformer + FT-Transformer) + survival analysis (Cox proportional hazards + DeepSurv + DeepHit + Random Survival Forest) with per-subscriber 7-day + 14-day + 21-day + 30-day + 60-day + 90-day churn-probability forecast. Per-location local-signal feature engineering ingests per-location visit recency + per-location visit frequency + per-location class attendance + per-location service usage + per-location staff turnover + per-location facility maintenance + per-location community NPS + per-location competitor proximity + per-location weather + per-location local-event calendar + per-location seasonality + per-location demographic shift + per-location commute time + per-location parking availability + per-location amenity availability for 50-200 per-location features per subscriber. Per-cohort uplift modeling via CATE meta-learner ensemble (T-learner + S-learner + X-learner + DR-learner + CausalML + DoubleML + EconML + Bayesian-treatment-effect + counterfactual-prediction + causal-forest) emits per-subscriber per-intervention uplift estimate. Per-subscriber pre-emptive intervention engine routes 7-21-day-ahead at-risk subscribers to per-intervention treatment (per-subscriber outreach + per-subscriber save-offer + per-subscriber retention-call + per-subscriber location-transfer + per-subscriber pause-membership + per-subscriber downgrade + per-subscriber concierge) with per-intervention budget cap + per-vertical compliance overlay. Per-vertical compliance overlay covers HIPAA (healthcare subscriptions) + FDA OPDP (pharma subscriptions) + DEA Schedule II-V (controlled-substance subscriptions) + FTC Negative Option Rule + FTC Click-to-Cancel + state subscription auto-renewal laws + ROSCA + CCPA + GDPR + TCPA + CAN-SPAM + state CARD Act + 10DLC. Operator team owns the subscriber data + per-location signal data + uplift modeling + per-vertical compliance overlay. Completions owns the swarm orchestration on the subscription-management agent.
Why does in-house per-location churn prediction break at multi-location subscription scale?
In-house operation at multi-location subscription scale fails on seven axes: (1) per-subscriber churn probability across 5,000-500,000 subscribers × 50-200 features × 6 forecast horizons × per-model ensemble requires production ML infrastructure with model-routing + retry + idempotency unstaffable by internal teams; (2) per-location local-signal feature engineering across 50-1,500 locations × 50-200 features × per-week refresh × multi-source ingestion (visit data + staff data + facility data + community NPS data + competitor data + weather data + local-event data + demographic data) requires data-engineering capacity with per-source ingestion contract; (3) per-cohort uplift modeling via 10-method CATE meta-learner ensemble requires data-science capacity with holdout-control infrastructure + counterfactual-validation; (4) per-subscriber pre-emptive intervention engine across 7 intervention types × per-intervention budget cap × per-intervention treatment-assignment-protocol requires production routing infrastructure with per-treatment outcome tracking; (5) per-vertical compliance overlay covering HIPAA + FDA OPDP + DEA + FTC Negative Option + FTC Click-to-Cancel + state auto-renewal + ROSCA + CCPA + GDPR + TCPA + CAN-SPAM + CARD Act + 10DLC requires legal-engineering capacity; (6) per-intervention treatment-assignment-protocol with random-assignment + propensity-score-matching + counterfactual-validation requires data-science capacity with experimental-design expertise; (7) cross-agent swarm coordination with peer-cohort + per-location-rollup + master-record-canonicalization + multi-stream-subscription siblings requires orchestration capacity. Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement.
What does the engagement look like across Tier 1 → Tier 2 → Tier 3?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic): Completions audits the operator current churn-prediction operation across seven axes — per-subscriber churn probability coverage + per-location local-signal feature engineering maturity + per-cohort uplift modeling + per-subscriber pre-emptive intervention + per-vertical compliance overlay + per-intervention treatment-assignment-protocol + cross-agent swarm coordination. Deliverable: gap-pack report with per-subscriber per-intervention expected-uplift estimate + projected ARR retention gain. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks, build with 30-day operating tail): Completions builds the per-location churn-prediction stack on operator infrastructure — per-location-signal-aware-churn-model + per-subscriber-churn-probability + pre-emptive-churn-intervention-triggers + per-subscriber-uplift-modeling on subscription-management agent + multi-platform-subscription-billing-ingestion on multi-stream-subscription + save-offer-library-management on save-flow + subscriber-lifecycle-cadence on lifecycle-flow + per-location-signal-feature-engineering on per-location-rollup-reporting + peer-cohort-computation on location-benchmarking. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): Completions continues operating the stack with weekly per-subscriber churn probability refresh + monthly per-location feature engineering refresh + quarterly per-cohort uplift modeling refresh + per-event compliance overlay refresh + cross-agent swarm coordination.
Who owns the subscriber data, local-signal features, uplift models, and intervention engine?
Operator owns 100% of every artifact: subscriber data (in operator data infrastructure — Snowflake + Databricks + BigQuery + Redshift + Postgres operator data warehouse), per-location signal data (visit data + staff data + facility data + community NPS data + competitor data + weather data + local-event data + demographic data in operator data warehouse), per-source ingestion credentials (Mariana Tek + Mindbody + Glofox + Pike13 + Zenoti + Booker + Vagaro + WellnessLiving + ClubReady + ABC Financial + Daxko + EZFacility + Hapana + Clubessential + Compete subscription-billing system + per-location POS + Yext + Birdeye + Podium operator NPS + Weather.com + Google Maps API + Eventbrite under operator billing + operator credentials), churn model code (in operator repo with operator-controlled deploy pipeline), per-location feature engineering code (operator-owned), uplift model code (operator-owned + operator-data-science-team-aligned), per-intervention treatment-assignment-protocol (operator-owned + operator-counsel-aligned), per-intervention budget cap config (operator-owned + operator-finance-team-aligned), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), HIPAA + FDA + DEA + FTC Negative Option + FTC Click-to-Cancel + state auto-renewal + ROSCA + CCPA + GDPR + TCPA + CAN-SPAM + CARD Act + 10DLC disclosure register (operator-owned + operator-counsel-maintained), brand spec (versioned in operator repo), LLM prompts (in operator repo), audit trail (retention infrastructure on operator cloud account with WORM-storage when HIPAA + FDA + FTC + state auto-renewal retention required). Completions owns: the orchestration knowledge — how to design per-location signal-aware churn models + how to tune per-cohort uplift modeling + how to debug per-intervention treatment-assignment cascades + how to coordinate the stack with peer-cohort + per-location-rollup + master-record-canonicalization + multi-stream-subscription siblings. The operator can in-house at any time; Completions credentials revoke immediately on engagement-end.
What KPIs will Completions commit to on Tier 3 engagement?
Typical Tier 3 commitments: (1) per-subscriber churn probability prediction accuracy at AUC-0.85+ target measured against 30-day holdout-validation; (2) per-location local-signal feature ingestion coverage at 99-percent target across 50-200 per-location features; (3) per-cohort uplift modeling confidence-tier at 90-percent target across 10-method CATE meta-learner ensemble; (4) per-subscriber pre-emptive intervention coverage at 95-percent target for 7-21-day-ahead at-risk subscribers; (5) per-intervention treatment-assignment-protocol adherence at 100-percent target (random-assignment + propensity-score-matching + counterfactual-validation); (6) per-intervention budget cap adherence at 100-percent target; (7) per-vertical compliance overlay coverage at 99.9-percent target; (8) absolute churn rate reduction at 15-30-percent target (operator-baseline-dependent); (9) ARR retention gain at $500k-$10M target (operator-baseline-dependent); (10) cross-agent swarm coordination latency under 2-second end-to-end. Each KPI measured against pre-engagement baseline.
How does engagement end and what is the operator transition path?
Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions the per-location churn-prediction operation back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training across 3-5 operator team members covering per-subscriber churn probability modeling + per-location local-signal feature engineering + per-cohort uplift modeling + per-subscriber pre-emptive intervention engine + per-intervention treatment-assignment-protocol + per-vertical compliance overlay management + cross-agent coordination + subscriber data infrastructure hand-off + per-source ingestion credentials hand-off + churn model code hand-off + LLM prompts hand-off + audit trail hand-off with WORM-storage operator-account-ownership confirmation; Completions credentials revoke immediately on engagement-end. Operator can re-engage Completions at any time on Tier 1 or Tier 2 cadence.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). Hand off to Tier 2 ($25-50k, 4-8 weeks) for the build. Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded). Operator owns every artifact at every tier. Operator can in-house at any time.