Digital Performance & Revenue Accountability

• Own digital channel P&L with direct accountability for revenue targets, customer acquisition cost (CAC), and return on ad spend (ROAS)
• Build and manage digital budget allocation across paid search, display, social, video, and emerging channels with ROI discipline
• Establish pricing strategies, promotional calendars, and dynamic offers tied to demand forecasting and inventory optimization
• Create predictive models connecting digital activity to booking velocity and revenue realization
• Conduct weekly performance reviews; implement rapid optimization cycles with bias toward velocity
• Report monthly P&L contributions with scenario modeling and forecasting updates

Leasing Transaction Optimization

• Design conversion funnels specifically optimized for leasing transactions (desk memberships, meeting rooms, day passes, long-term contracts)
• Develop landing page and checkout experience variants with continuous A/B testing; target 3-5% monthly improvement in conversion rates
• Build retargeting campaigns that re-engage abandoned shoppers and convert intent into bookings
• Implement progressive profiling and intent-based segmentation to personalize leasing offers
• Create urgency mechanisms (limited availability, time-bound offers, social proof) that drive booking velocity
• Coordinate with sales teams on lead scoring, warm handoff protocols, and sales-marketing alignment metrics

Flexboard Acquisition & Onboarding

• Develop targeted acquisition campaigns for flexboard (day pass, hourly workspace) segment with specific messaging, channels, and offers
• Build conversion funnels optimized for low-friction, impulse-friendly checkout (guest checkout, payment flexibility, instant access)
• Create onboarding sequences that drive first-time usage and repeat booking behavior
• Implement behavioral triggers (post-signup, first-time user, inactive) for automated re-engagement campaigns
• Track and optimize key metrics: first booking time-to-completion, booking confirmation rate, first-booking-to-repeat-booking conversion
• Develop predictive models identifying flexboard users likely to upgrade to memberships

Retention & Lifetime Value Expansion

• Build retention marketing programs targeting at-risk member segments using churn prediction models
• Design win-back campaigns for lapsed members with targeted offers and reactivation messaging
• Create upsell and cross-sell campaigns promoting premium memberships, meeting room packages, and add-on services
• Develop member engagement loops (weekly tips, utilization insights, community highlights) that drive retention
• Implement loyalty programs and referral mechanics that incentivize advocacy and reduce churn
• Track retention cohort analysis; establish targets for retention rates by membership tier and acquisition channel

Paid Digital Channel Strategy

• Develop channel-specific strategies for Google Ads (search, display, shopping), Meta (Facebook, Instagram), LinkedIn, TikTok, and YouTube
• Execute performance marketing campaigns with discipline on CPA (cost per acquisition) targets and ROAS benchmarks
• Build audience targeting strategies leveraging first-party data, lookalike modeling, and behavioral signals
• Implement conversion tracking and attribution infrastructure across all paid channels
• Establish dynamic bidding strategies; optimize campaign structure for machine learning algorithms
• Conduct monthly channel performance analysis; reallocate budget to highest-performing channels

Organic & Content-Driven Acquisition

• Develop SEO strategy targeting high-intent keywords for leasing, memberships, and workspace solutions
• Optimize website architecture, on-page SEO, and technical SEO for search visibility and user experience
• Build content calendar aligned with purchase journey (awareness, consideration, decision) and member needs
• Create case studies, comparison content, and ROI calculators that drive consideration and conversion
• Develop local SEO strategy targeting metro areas and neighborhood-level search intent
• Partner with brand team on organic social strategy that drives website traffic and conversions

Analytics, Attribution & Optimization

• Implement comprehensive analytics infrastructure connecting digital touchpoints to bookings, revenue, and retention outcomes
• Build attribution models (first-click, last-click, multi-touch) that accurately assign revenue to marketing activities
• Create dashboards providing real-time visibility into funnel performance, CAC by channel, and LTV by cohort
• Establish experimentation framework with power analysis; run 10-15 A/B tests monthly across critical conversion points
• Use predictive analytics and machine learning for audience segmentation, churn prediction, and LTV forecasting
• Conduct cohort analysis to understand booking patterns, repeat usage rates, and upgrade propensity by acquisition channel

AI-Powered Growth Systems

• Deploy generative AI for dynamic creative optimization, copy testing, and personalized landing page variations
• Implement machine learning models for predictive bidding, audience targeting refinement, and budget allocation
• Use AI-powered analytics for anomaly detection, opportunity identification, and performance forecasting
• Build chatbot and conversational AI systems for real-time booking assistance and member support
• Leverage customer data platform (CDP) for unified customer profiles enabling sophisticated personalization
• Establish AI-driven experimentation that runs autonomous testing and implements winning variations

Marketing Technology & Operations

• Own marketing technology stack: analytics platforms, marketing automation, CRM, paid advertising platforms, CDP
• Establish data governance, tracking implementation standards, and UTM tracking protocols
• Build dashboards and reporting automations that reduce manual reporting overhead
• Create campaign playbooks and SOP documentation for scalable, repeatable execution
• Manage marketing operations budget and vendor relationships
• Develop forecasting models and capacity planning for seasonal demand fluctuations