Playbook Ventures designs and deploys AI-driven SDR and GTM infrastructure that turns outbound into a predictable customer pipeline, without adding headcount or picking up the phone.
Founders rely on one sales hire
Agencies blast generic emails
Marketing generates leads that sales can't close
CRM data is messy
No one is engineering a pipeline against revenue targets
The AI Architecture Behind a Predictable Pipleline
Playbook Ventures designs full-stack AI SDR systems, including:
We reverse-engineer your ideal customer from revenue targets, win patterns, deal velocity, and ACV thresholds
Weighted scoring models rank prospects based on conversion likelihood, authority proximity, timing signals, and revenue potential
We design value narratives and sequencing angles that map directly to ICP pain intensity, competitive displacement, and business triggers. AI adapts messaging without losing strategic intent
Domain architecture, reputation modeling, branching logic, throttle controls, and multi-channel sequencing (email, call, SMS, Linkedin) operate as a coordinated system
Multi-source lead acquisition layered with enrichment logic
AI classified responses in real time (positive, neutral, objection, referral, unsubscribe), routes qualified interest appropriately, suppresses noise automatically
We monitor reply rate, meeting conversion, show rate, opportunity creation, and revenue velocity - continuously refining ICP, messaging, scoring logic based on real performance data
Manage yield at every stage. We monitor reply rate, meeting conversion, show rate, opportunity creation, and revenue velocity - constinously refining ICP, messaging, and scoring logic based on real performance data
We map your ICP, sales motion, ACV, and pipeline math
We map your ICP, sales motion, ACV, and pipeline math
We launch, monitor, and tune conversion performance weekly.
Predictable Meeting Volume
5-15% Positive Reply Rates (when ICP is correct)
3-8% Meeting Conversion (when offer is strong)
Reduced CAC vs Paid Channels
No Additional SDR Headcount
We design signal-driven personalization that adapts messaging based on:
Industry Pressure
Competitive Stack Presence
Hiring Patterns
Funding Events
Regulatory Exposure
Recent Executive Changes
Content Engagement Signals