Schedule Follow-Up
Follow-Up OverviewPrepared for Wellness Operators · Revi × MarianaTek
MarianaTekPowered by live MarianaTek lifecycle data·ClassPassClassPass-aware workflow routing

The workflow, AI follow-up, and lifecycle systems discussed for improving studio operations inside MarianaTek.

This overview breaks down how Revi coordinates workflows, AI-assisted conversations, lifecycle automation, escalation handling, retention systems, and operational follow-up using live MarianaTek behavior.

It also covers onboarding, deployment structure, support systems, ClassPass conversion routing, and how Revi differs from traditional AI sales platforms.

Included in this review
  • Workflow infrastructure
  • AI-assisted follow-up
  • Lifecycle routing
  • Deployment process
  • Support systems
  • ClassPass conversion logic
Schedule Follow-Up
7–14 day deployments60–70% AI-assisted initiallySame-day support responsesBehavior-based lifecycle routing
Observed Across Active Wellness Deployments
Behavior-aware workflowsHuman-supervised AILifecycle automationOperational escalation logic
What Revi Actually Is

One layer between behavior, conversations, and revenue.

Revi tracks customer behavior inside MarianaTek, triggers the right workflows automatically, and routes conversations through AI or a human when it matters, operating as a unified conversion system across the full customer lifecycle.

Lead NurtureIntro ConversionNo-Show RecoveryMembership ConversionRetentionReactivation
Orchestration SystemLive
MarianaTekCRM Sync
Lead CreatedSignal
Meta Ad to MarianaTek
T+00:00Captured
Behavior ObservedSignal
Intro claimed, first class not booked
T+00:42Evaluated
AI Conversation ActiveAI
Personalized follow-up initiated
T+00:44AI Active
Conversion EventRevenue
Membership purchased
T+03:12Converted
Retention MonitoringLifecycle
Lifecycle tracking active
T+07dMonitoring
Behavior-Orchestrated Lifecycle InfrastructureLive CRM + AI synchronization
Adaptive Workflow Infrastructure

What Revi workflows actually look like inside MarianaTek.

Revi continuously analyzes live MarianaTek activity, lifecycle stage, purchase history, visit behavior, AI conversation context, and engagement signals to automatically move customers into the right workflow at the right time. Instead of relying on a few static drip campaigns, Revi supports thousands of adaptive workflow paths across intros, memberships, class packs, retention, reactivation, no-show recovery, upgrades, ClassPass, and long-term nurture. AI personalization is layered into every workflow using real-time customer context and live MarianaTek data.

Lifecycle Triggers
Lead Submitted
Intro Claimed
First Visit Booked
No-Show Detected
Membership Expiring
Dormant 45 Days
Dynamic Workflow Engine
Behavior-aware workflow routing
MarianaTekMarianaTek Sync · Live
Inputs
  • MarianaTek activity
  • Purchase history
  • Lifecycle stage
  • Chat context
  • Attendance behavior
AI Workflow Logic
  • Conversion scoring
  • Retention probability
  • Intent analysis
  • AI personalization
  • Workflow reassignment
Workflow Outputs
  • Intro nurture workflow
  • Recovery workflow
  • Upgrade workflow
  • Reactivation workflow
  • Human escalation workflow
Routing 1,284 active workflow pathsv.workflow · 3.1
Active Workflow Assignments
Intro Workflow Active
Upgrade Workflow Triggered
Retention Workflow Assigned
Recovery Workflow Activated
Human Escalation Routed
·Adaptive workflow routing
·AI-personalized logic
·Real-time MarianaTek sync
·Dynamic conversion paths
AI personalization layered into every workflow
Workflows · Live
How Revi coordinates AI and human follow-up

AI-assisted follow-up built around real studio operations.

Revi coordinates AI-assisted outreach, workflow automation, escalation logic, and human follow-up using live MarianaTek activity, engagement signals, and studio-trained knowledge bases. Automation coverage expands over time as workflows, FAQs, and operational context mature.

mod.01LIVE

Intro Conversion Support

AI-assisted · supervised
  • Lead source
  • Intro claimed
  • Booking activity
  • FAQ responses
  • Booking reminders
  • Offer reinforcement
Escalates to studio staff when confidence dropsops
mod.02ACTIVE

No-Show Recovery Support

Behavior-aware · monitored
  • Missed reservations
  • Attendance gaps
  • Response inactivity
  • Rebooking outreach
  • Recovery reminders
  • Schedule nudges
Human follow-up after recovery thresholdops
mod.03ACTIVE

Retention + Reactivation Support

Lifecycle-aware · context-informed
  • Declining attendance
  • Membership expiration
  • Dormancy windows
  • Retention outreach
  • Reactivation messaging
  • Personalized offers
Retention specialist escalation when neededops
0–70%
AI-assisted initially
Faster
Response coverage
Lower
Manual outreach load
AI-assisted coordinationHuman escalation governanceLifecycle-aware routingStudio-trained intelligence
Supervised · Live
Supervised AI Learning System

Revi gets smarter every time your team uses it.

Revi responds using your studio's offers, pricing, workflows, FAQs, and live MarianaTek activity. When the AI is uncertain, conversations escalate safely to a studio team member instead of generating inaccurate responses. Those human resolutions are stored as operational knowledge so future conversations improve automatically.

Confident AI Resolutionstudio-trained
conv.4f1
Lead · Day 2·0 prior visits·intent · high
Context-aware responseSynced to MarianaTek
Escalation + Learningsupervised
conv.8c2
Member · 14mo·62 prior visits·retention · sensitive
Human · Studio TeamKnowledge captured
Operational Learning Loop
Helpful Needs adjustment
AI Response
generated
Staff Rating
tone · accuracy
Knowledge Stored
operational memory
Future Responses Improve
coverage expands
Learns from human resolutionsEscalates uncertainty safelyStores studio knowledgeImproves automation over time
Supervised Learning · Live
Deployment Outcomes

Measured improvements across real wellness deployments.

Performance varies by studio maturity, lead volume, offer structure, and knowledge base quality. These examples reflect observed results across active boutique fitness and wellness deployments.

+0%
Lead-to-Member Conversion Lift
+$0K
Attributed Revenue Recovery
Observed across active lifecycle campaigns
0–8x
Observed ROI Range
Varies by lead volume and deployment maturity
$0.0K
Recovered in 48 Hours
+0%
First Visit-to-Member Lift
+0%
First-Time Conversion Lift
0–70%
AI-Assisted Coverage Initially
Up to 0%
With Mature Knowledge Base

High-end outlier deployments may exceed these ranges based on studio scale, lead flow, retention gaps, and operational adoption.

Performance Lift · Observed Ranges
Baseline With Revi
Lead-to-Member ConversionBaselineImproved
+111% lift observed· observed
First Visit-to-MemberBaselineImproved
+67% lift observed· observed
Manual Follow-Up LoadManual-heavyAI-assisted
60–70% initially, expands with training· observed
Revenue RecoveryDormant leadsRecovered opportunities
$27.5K recovered in 48 hours· observed

Results depend on lead quality, offer structure, response coverage, and knowledge base maturity.

Learn More
Observed Deployment OutcomesBehavior-Attributed ReportingKnowledge Base DependentCase Studies Available
MarianaTekMarianaTek-native infrastructure
How Revi Is Different

Most AI sales tools automate messages. Revi orchestrates the customer lifecycle.

Revi is built around live studio behavior, adaptive workflows, operational memory, and supervised AI coordination. Instead of static automation trees, Revi continuously routes conversations, campaigns, escalations, and lifecycle logic using real MarianaTek activity, engagement signals, and studio-trained intelligence.

Traditional AI Sales Tools
Static automation layers
static
Static drip campaigns
Generic AI replies
Manual escalation
No operational memory
  • Rigid workflows
  • Weak behavioral awareness
  • Escalation treated as failure
MarianaTek
Revi Adaptive Lifecycle Infrastructure
Behavior-aware orchestration built into the workflow layer
adaptive
Inputs
MarianaTek DataLifecycle SignalsConversation Context
Core
AI Orchestration EngineHuman SupervisionKnowledge Memory
Outputs
Dynamic WorkflowsAI ConversationsRetention RoutingContinuous Optimization
visit behaviorengagement signalsAI confidencestudio policiesprior escalations
Operational Learning Infrastructure

Revi separates workflow logic, AI behavior, studio knowledge, escalation memory, and lifecycle orchestration into adaptive infrastructure layers that improve over time.

Learning Loop
AI Reply
Human Review
Staff Rating
Knowledge Stored
Smarter Future Responses
Escalation becomes training.
MarianaTek-nativeHuman-supervised AIOperational memoryAdaptive workflows
Infrastructure · Live
Onboarding & Support

Hands-on deployment and direct support from the Revi team.

Revi works directly with your team to launch workflows, configure AI behavior, build your knowledge base, and support operations after launch. Most studios go live within 7 to 14 days depending on setup complexity and carrier approvals.

Launch Timelineactive deployment
Day 1
Kickoff + lifecycle mapping
Day 2
Platform setup + verification
Day 3–4
Knowledge base + FAQs
Day 5–7
Workflow configuration + AI calibration
Day 7–14
Launch + optimization
Live deployment tracking
MarianaTekConnected directly to MarianaTek operational workflows
Direct Team Access
Built-in team chat and direct email access for support and deployment questions.
Dedicated Client Success
Hands-on help with workflows, AI behavior, and operational setup.
US-Based Support
Real operators who understand studio operations and lifecycle workflows.
Fast Response Times
Most support requests receive same-day responses from the team.
AI Calibration Support
We help refine AI tone, escalation logic, and response quality over time.
Post-Launch Optimization
Workflows and AI behavior continue improving after launch.
Direct support accessWorkflow setupAI calibrationPost-launch optimization
Support · Active
ClassPass + MarianaTek

Turn ClassPass traffic into long-term memberships.

One of the biggest challenges for boutique wellness studios is converting ClassPass visitors into long-term members.

Revi uses live MarianaTek behavior, attendance patterns, visit frequency, and third-party workflow routing to identify high-intent ClassPass users and move them into targeted conversion and retention workflows automatically.

ClassPass Conversion Routing

ClassPass

Behavior-aware third-party workflows

ClassPass Visit
Repeat Attendance
Conversion Opportunity
Membership Workflow
repeat visitsattendance gapsintro eligibilityconversion timinginactivity windows
Third-Party Routing · Active

How Revi Identifies Membership Intent

Live MarianaTek behavior analysis

Revi evaluates attendance behavior, lifecycle stage, engagement patterns, and repeat visit activity to identify when ClassPass users show long-term membership intent. Instead of treating ClassPass traffic like one-time reservations, Revi routes high-intent visitors into targeted follow-up and conversion workflows.

High-Frequency VisitorsRepeated attendance without membership conversion.
Conversion TimingIdentifies ideal moments for follow-up.
Retention RoutingMoves engaged users into lifecycle workflows.

Most platforms stop at the reservation. Revi focuses on the membership opportunity after the visit.

ClassPassClassPass-aware routing·MarianaTekMarianaTek lifecycle data·Conversion targeting·Retention routing
Conversion · Live
Next Step

Let's review how Revi would fit into your studio operation.

This follow-up session is focused on your current workflows, lead flow, lifecycle gaps, conversion process, retention strategy, and operational follow-up systems.

We'll walk through how Revi would integrate into your existing MarianaTek environment, where automation and AI-assisted coordination create the most leverage, and what deployment would realistically look like for your team.

No generic demo. No canned sales walkthrough. Just a practical review of how the system would operate inside your studio.

MarianaTek-native infrastructureAI-supervised workflowsHuman escalation supportStudio-trained intelligence
© 2026 ReviBuilt for MarianaTek Studios