Module · CRM Automation
CRM Automation
CRM automation is the closed-loop action layer of FanSignal OS. Every signal from every module ends here as a named journey, an enrolled fan, a channel strategy, and a business decision.
Core argument
Signals without journeys are observations. Journeys without signals are guesses. The automation hub is what makes the connection operational, not aspirational.
What this demonstrates
Cross-module journey orchestration, trigger source architecture, lifecycle coverage mapping, persona enrollment intelligence, governance ownership, and executive decision prioritization.
Revenue attributed
FPO
Across FPO journeys, FPO enrolled fans
Automation KPIs
Coming Soon
Automation KPIs will populate once the data pipeline is live.
Journey Orchestration Map
Every automation journey traced from source module through trigger, persona, lifecycle stage, channel, next best action, dashboard signal, and business decision. The chain is the intelligence, not the individual steps.
Coming Soon
Journey orchestration map will populate once the data pipeline is live.
Trigger Source Breakdown
Each source module produces a distinct signal type at a different data freshness cadence: from real-time bot intents to weekly activation audits. The diversity of trigger sources is the architecture's strength: no single module sees the full fan picture. CRM automation synthesizes them.
Coming Soon
Trigger source breakdown will populate once the data pipeline is live.
Journey Performance: Last 30 Days
Enrollment, conversion, and revenue across all journeys in the trailing 30-day window. Corporate Prospect Nurture and Sponsor Underactivation Alert generate the highest per-enrollment revenue despite the smallest enrollment counts: confirming that low-volume, high-intent segments warrant disproportionate operational investment.
Coming Soon
Journey performance (last 30 days) will populate once the data pipeline is live.
Key insight
High-intent, low-volume journeys like Corporate Prospect Nurture generate disproportionately high revenue per enrolled fan. High-volume journeys like Lapsed Win-Back serve a different purpose at a different unit economics. Both are necessary. The framing error is applying the same resource investment to both.
Persona Enrollment
How the automation portfolio maps across the fan personas: showing enrolled volume, conversion performance, attributed revenue, and coverage gaps. Strategic priority reflects investment sequencing, not audience size.
Coming Soon
Persona enrollment table will populate once the data pipeline is live.
Lifecycle Coverage Matrix
Automation coverage scored by lifecycle stage. A coverage score is not a headcount. It measures how comprehensively the stage's behavioral surface area is addressed by active journeys. Gaps at high-traffic stages (lapsed, first-purchase) are revenue leaks, not design decisions.
Coming Soon
Lifecycle coverage scores will populate once the data pipeline is live.
Coming Soon
Lifecycle coverage matrix will populate once the data pipeline is live.
Owner Workload & Governance
Every journey has a named owner. Governance risk is not in the journey design. It's in the operational dependencies that owners must manage: SLA timing, data pipeline freshness, cross-team coordination, and threshold drift. The notes below surface the actual governance constraint per owner, not just the journey count.
Coming Soon
Owner workload & governance will populate once the data pipeline is live.
Executive Recommendations
Prioritized actions derived from journey performance, coverage gaps, and governance audit. Priority 1 carries a revenue-per-week cost of delay. Recommendations are ordered by operational urgency: the commercial cost of inaction, not strategic importance.
Activate Advocate Ambassador Journey Immediately
criticalJourney 010 (Advocate Ambassador Activation) has 287 eligible enrollees and is the highest ROI journey in the portfolio at 6x paid acquisition. It has been in draft status. The ambassador program generates 2.4 incremental referral fans per activated member per season. Every week of delay costs approximately 55 new fan acquisitions at zero incremental acquisition cost.
Resolve Concert Crossover Copy Conflict Before Next Event
highJourney 006 (Concert-to-Team Crossover) is flagged needs_review for copy framing inconsistency. Venue-first message outperforms team-first message by 2.4x in conversion. The next concert event is scheduled within 30 days. If the journey is not remediated before then, 3,280+ potential enrollees will enter the underperforming copy path and conversion rate will be suppressed by an estimated 58%.
Build Engaged-Stage Nurture Journey for Women's Team Converts
highJourney 005 acquires women's team first-purchasers but no second-stage journey exists. Of the 16% who convert from awareness, approximately 898 fans are left without structured automation after first purchase. Based on family onboarding conversion data, a properly-timed engaged-stage follow-on produces 22–28% second-purchase conversion. At current volume, this gap represents an estimated $86K in unactivated seasonal revenue.
Establish Shared Send Calendar Between Content and CRM Teams
mediumJourney 008 requires content publish and CRM send to occur within the same 24-hour window. Current operational structure allows independent scheduling: staggered sends reduce conversion rate by 31%. Formalizing a shared content-CRM send calendar with a 24-hour coordination SLA would recover an estimated $28K annually in suppressed conversion from misaligned sends. This is a governance fix, not a technical one.
Invest BI Data Pipeline SLA to Protect Renewal Intervention Window
mediumJourney 009 (BI Signal: Renewal Risk Intervention) depends on detecting a renewal probability drop within the actionable window. Current BI data freshness is daily: a 24-hour delay in signal receipt collapses the intervention window from 30 days to 29. At scale, daily latency creates accumulating blind spots. A data pipeline SLA of sub-4-hour for renewal probability metrics would recover an estimated 12% of currently-missed intervention opportunities worth $201K annually.
Build Post-Reactivation Journey for Converted Lapsed Fans
lowJourneys 003 and 008 successfully reactivate 14–17% of lapsed fans, but no journey exists for what happens after reactivation. These converted fans re-enter the lifecycle at first-purchase stage with no structured path to engaged or loyal. Based on onboarding data, an unguided first-purchase-to-engaged conversion rate is approximately 18% versus 34% with structured automation. At current reactivation volume (approximately 1,400 per year), this gap costs an estimated 224 fans per year who should reach engaged stage but don't.