GO-TO-MARKET ACTIVATION PROPOSAL
AI-Powered Digital Growth Engine for Radium Cloud
Prepared for: RADIUM CLOUD
Prepared by: AD-Wise Agency
December 2025
"The Profit Is In The Follow-Up"
1. Executive Summary
Radium Cloud has built an exceptional product: an AI cloud platform that delivers 47-135% faster performance than hyperscalers, validated by Stanford, MIT, and Carnegie Mellon. The technology is proven. The partnerships are established. The market timing is ideal.
What is missing is a systematic engine that converts digital attention into qualified pipeline.
This proposal presents AD-Wise Agency's approach to GTM activation. Rather than relying on traditional demand generation tactics that generate awareness without conversion infrastructure, we propose building an AI-powered follow-up engine that:
90-Second Response
Responds to every website visitor, content engagement, and inquiry in under 90 seconds
AI Pre-Qualification
Pre-qualifies leads through intelligent AI voice and chat agents before human contact
Strategic Targeting
Identifies and captures CTOs, VPs of Engineering, and ML leads through strategic data acquisition
Full Attribution
Provides full-funnel attribution from first touch to closed revenue
The result: a system that generates qualified pipeline at lower cost, faster speed, and higher conversion rates than traditional GTM motions.
2. The Challenge and Opportunity
Current State Assessment
Based on our analysis of Radium Cloud's digital presence:
  • Growing LinkedIn presence with strong event-driven engagement
  • Website optimized for product information but opportunity to enhance lead capture mechanisms
  • Exceptional case studies (Stanford, MIT, CMU, Square, DataRobot) that can be better leveraged for demand generation
  • No visible AI-powered engagement or instant response system currently deployed
  • Recent funding signals growth ambition and requires disciplined ROI on marketing investment
The Limitation of Traditional GTM Approaches
Most B2B technology companies default to conventional demand generation playbooks:
  • Email marketing campaigns with industry-average 20-30% open rates and 2-4% click-through rates
  • LinkedIn advertising at $8-15 cost-per-click with 3-8% landing page conversion
  • Newsletter sponsorships and content syndication for awareness
  • Out-of-home and display advertising for brand visibility

These approaches generate awareness but share a critical weakness: they lack the follow-up infrastructure to convert that awareness into revenue. Every dollar spent on attention is diminished without a system to capture, qualify, and convert that attention in real-time.
The AD-Wise Opportunity
Enterprise AI buyers (your ICP) exhibit specific behaviors:
They research extensively before engaging sales (average 27 touchpoints)
They expect immediate responses to technical inquiries
They respond to peer validation and benchmark data
They make decisions based on performance proof, not marketing claims
An AI-powered follow-up engine intercepts these buyers at every touchpoint and guides them toward qualified conversations with your sales team.
3. Why Follow-Up Is the Highest-Leverage Investment
Before presenting our solution, it is important to understand why we believe the follow-up layer is the most critical investment Radium Cloud can make right now.
The Industry Data
78%
First Response Wins
B2B buyers purchase from the vendor that responds first (Lead Connect)
9x
Speed Matters
Leads contacted within 5 minutes are 9x more likely to convert (InsideSales)
27%
Massive Leakage
Only 27% of leads are ever contacted by sales teams (Forrester)
50%
Nurturing ROI
More sales-ready leads at 33% lower cost with lead nurturing (Marketo)
The average B2B response time is 42 hours
The Implication for Radium Cloud
Your product sells itself once prospects experience the performance difference. The challenge is not convincing qualified buyers; it is reaching them at the moment of intent and guiding them efficiently to a technical conversation.
Traditional GTM approaches focus heavily on the top of funnel (awareness, traffic, impressions) while underinvesting in the conversion layer. Our approach inverts this priority: build the follow-up engine first, then scale awareness with confidence that every lead will be captured and worked.
4. The AD-Wise Solution
We propose building a comprehensive AI-Powered Follow-Up Engine specifically designed for Radium Cloud's enterprise AI buyer journey.
Component 1: AI Voice Agents
Human-like AI voice agents that respond to inbound inquiries within 90 seconds:
  • Instant callback on demo requests and contact form submissions
  • Technical pre-qualification (use case, current infrastructure, timeline, budget authority)
  • Automated calendar booking with sales engineers
  • Conversation summaries delivered to CRM before human handoff
Component 2: AI Chat Agents
Intelligent website chat that engages visitors with context-aware responses:
  • Technical FAQ handling (pricing, performance benchmarks, compliance)
  • Use case discovery and product recommendation
  • Lead capture with progressive profiling
  • Seamless escalation to live support or sales
Component 3: Automated Email and DM Sequences
Personalized outreach triggered by engagement signals:
  • Behavior-based email sequences (page visits, content downloads, pricing views)
  • LinkedIn DM automation for engagement signals (profile visits, post interactions)
  • Social listening for buying signals (mentions of hyperscaler frustrations, AI infrastructure needs)
  • Reactivation campaigns for dormant leads
Component 4: Decision-Maker Data Acquisition
Targeted data acquisition for your exact ICP:
  • LinkedIn, web, and industry database mining for CTOs, VPs Engineering, ML/AI leads
  • Contact enrichment (verified email, phone, company data)
  • ICP filtering (company size, industry, technology stack, funding stage)
  • Intent data integration (active researchers, competitive evaluators)
Component 5: Content Engine for Authority Building
Strategic content that attracts and converts your ICP:
  • Technical thought leadership (benchmark comparisons, performance guides)
  • Case study amplification (Stanford, MIT, CMU success stories)
  • LinkedIn executive presence for leadership team
  • SEO-optimized landing pages for high-intent keywords
Welcome to Radium
5. System Architecture: The Full-Funnel Engine
The AD-Wise AI-Powered Follow-Up Engine operates as a continuous flywheel across seven stages:
ATTRACT
Technical content, SEO, LinkedIn thought leadership, paid amplification
ENGAGE
AI chat agents, website optimization, interactive demos
CAPTURE
Lead data acquisition, contact enrichment, ICP filtering
ACTIVATE
AI voice agents, instant callbacks, pre-qualification
NURTURE
Automated email/DM sequences, retargeting, reactivation
CONVERT
Pre-qualified handoff, AI summaries, sales enablement
SCALE
Performance analytics, budget optimization, audience expansion
6. Deliverables
AD-Wise will implement the following for Radium Cloud:
AI Infrastructure
  • AI Voice Agent deployment with custom scripts for technical pre-qualification
  • AI Chat Agent integration with website and landing pages
  • CRM integration for lead routing and conversation handoff
  • Calendar booking automation with sales team
Lead Generation
  • ICP database build: CTOs, VPs Engineering, ML/AI leads at target companies
  • Contact enrichment with verified email, phone, and company data
  • LinkedIn data acquisition and social listening setup
  • Intent data integration for active researchers
Automation Sequences
  • Multi-touch email sequences (cold outreach, nurture, reactivation)
  • LinkedIn DM automation triggered by engagement signals
  • Behavior-based trigger workflows (page visits, downloads, pricing views)
  • Retargeting audience setup and management
Content and Presence
  • Website optimization for conversion (CTAs, forms, chat placement)
  • Landing pages for ICP segments (ML engineers, enterprise AI teams, researchers)
  • Case study amplification content (Stanford, MIT, CMU)
  • LinkedIn executive presence strategy for leadership team
Analytics and Attribution
  • Full-funnel attribution dashboard (first touch to closed revenue)
  • AI agent performance tracking and optimization
  • Weekly performance reporting with actionable insights
7. Expected Results (KPIs)
Based on AD-Wise benchmarks across similar B2B technology implementations:
Lead Response Time
Under 90 seconds
(from hours/days)
Qualified Leads in Pipeline
35-50% increase
Lead-to-Inquiry Conversion
15-25% improvement
Sales Team Efficiency
40% reduction in unqualified calls
Cost Per Qualified Lead
30-40% lower than industry average
Pipeline Attribution Visibility
100% first-touch to revenue tracking
How We Differ From Traditional GTM Approaches
The following comparison illustrates the structural differences between conventional demand generation and an AI-powered follow-up engine:
8. Implementation Timeline
1
Days 1-30: Foundation
  • Discovery deep-dive: ICP validation, sales process mapping, technical requirements
  • AI Voice Agent configuration and script development
  • AI Chat Agent deployment on website
  • Initial ICP database build (first 1,000 decision-makers)
  • CRM integration and workflow setup
2
Days 31-60: Activation
  • Launch AI agents for live lead handling
  • Email sequence activation (cold outreach + nurture)
  • LinkedIn DM automation deployment
  • Landing page optimization and A/B testing
  • Attribution dashboard build and calibration
3
Days 61-90: Optimization
  • Performance analysis and AI agent tuning
  • Sequence optimization based on conversion data
  • ICP database expansion (additional 2,000+ contacts)
  • Content engine activation (thought leadership, case studies)
  • Full system handoff and training
Days 1-30
Foundation
  • Discovery deep-dive: ICP validation, sales process mapping, technical requirements
  • AI Voice Agent configuration and script development
  • AI Chat Agent deployment on website
  • Initial ICP database build (first 1,000 decision-makers)
  • CRM integration and workflow setup
Days 31-60
Activation
  • Launch AI agents for live lead handling
  • Email sequence activation (cold outreach + nurture)
  • LinkedIn DM automation deployment
  • Landing page optimization and A/B testing
  • Attribution dashboard build and calibration
Days 61-90
Optimization
  • Performance analysis and AI agent tuning
  • Sequence optimization based on conversion data
  • ICP database expansion (additional 2,000+ contacts)
  • Content engine activation (thought leadership, case studies)
  • Full system handoff and training
9. Investment Options
AD-Wise offers three engagement tiers to match Radium Cloud's growth objectives and budget parameters.

All tiers include weekly performance reporting, dedicated account management, and ongoing optimization. Minimum engagement period: 3 months.
STARTER
What's it Worth to you?
GROWTH
What's it Worth to you?
SCALE
What's it Worth to you?
10. Next Steps
To proceed with building your AI-Powered Follow-Up Engine:
01
Discovery Call
Schedule a 45-minute session to discuss Radium Cloud's specific requirements, sales process, and growth objectives.
02
Technical Assessment
Review your current tech stack, CRM setup, and integration requirements.
03
ICP Validation
Confirm target personas, company criteria, and geographic focus.
04
Proposal Refinement
Finalize tier selection and customize deliverables.
05
Kickoff
Begin implementation with target activation within 30 days.
SCHEDULE YOUR DISCOVERY CALL
Get Started Now
AD-Wise Agency
"The Profit Is In The Follow-Up"
Confidential - Prepared exclusively for Radium Cloud