Maximize lead generation through structured experimentation.
10 min
- The playbook outlines a structured framework for managing lead generation experiments to enhance outreach efficiency and conversion rates. - It details an experimentation framework that includes key components like objectives, target audiences, and metrics for assessment. - Guidelines emphasize limited experiments per week, centralized feedback tracking, and designated ownership for effective execution and learning.
1. Startup Founders 2. Chief Technology Officers (CTOs) 3. Cloud Architects
Lead Generation Growth - Experimentation Playbook
Goal: This playbook provides a structured framework for managing, tracking, and iterating lead generation experiments. It aims to maximize outreach efficiency, optimize conversions, and identify actionable insights through continuous experimentation.
Outbound Roadmap
1. Focus on Buyer Intent:
- Target 1: Focus on new ICP users.
- Target 2: Improve lead scoring and HubSpot workflows to detect high-intent actions like visiting pricing or contact pages.
2. Target Website Visitors:
- Primary Focus: North American accounts.
- Secondary Focus: Rest of the world, especially accounts demonstrating high intent by visiting pricing or contact pages.
3. Account List Creation for Startups:
- Series A/B startup accounts.
- Leverage platforms like LinkedIn, Lemlist, and job offers to compile target lists.
- Continuously improve outreach with tools like Clearbit and intent data sources.
Experimentation Framework
The Experimentation Framework outlines the key components and structure used to design, execute, and assess all lead generation experiments. Here’s how it works:
- Status: Indicates whether the experiment is active, in progress, or completed.
- Experiment Name: A concise, descriptive title for each experiment.
- Owner: The individual responsible for the execution, tracking, and optimization of the experiment.
- AAARRR Stage: Identifies which stage of the funnel the experiment targets, such as:
- Awareness
- Acquisition
- Activation
- Retention
- Revenue
- Referral
- Implementation Channel: Defines the medium through which the experiment is conducted (e.g., email campaigns, social media, SEO, outbound outreach, etc.).
- Objective(s): The call to action (CTA) or desired outcome for the experiment, such as booking demos, increasing sign-ups, or generating leads.
- Target Audience: Identifies the target audience or persona (e.g., Cloud Architects, CTOs, etc.).
- Hypothesis: States the assumption or hypothesis being tested, predicting how the experiment will achieve the objective.
- Metrics: Specifies the key performance indicators (KPIs) used to measure the experiment’s success (e.g., # of meetings booked, conversion rates).
- Win Threshold: The specific benchmark or threshold that determines the success of the experiment.
- Learning Insights: Summarizes the findings and takeaways from the experiment, whether successful or not.
- Results: A quantifiable outcome or result of the experiment, used to inform future iterations or strategies.
Experimentation Guidelines
- Max 3 Experiments per Week per Team Member:
- Focus on one variable per experiment to isolate impact.
- Use both quantitative and qualitative observations for iteration decisions.
- Centralized Feedback:
- All insights, results, and feedback must be tracked in the Experimentation Table. This will serve as a single source of truth for all team members.
- Experimentation Ownership:
- Each experiment has a designated owner responsible for its execution and optimization. Learnings should be shared as comments or updates in the Experimentation Playbook.
Outbound Metrics & Tracking
- Meetings:
- Is it easier to book meetings with specific personas (e.g., startup founders vs. enterprise clients)?
- Measure success by meetings booked vs. leads contacted.
- Discovery Insights:
- What key pains or needs do prospects have that we can solve?
- Track learnings using the BANT framework to understand authority, need, timeline, and budget.
- Deals:
- How many deals are created from outreach efforts?
- Measure the time from initial discovery to closed won.
- Closed Won:
- How many accounts are converted into paying customers?
- Track conversions to refine ICP and sales strategies.
Experimentation Stages
Stage | Description |
Visitor | Website visitors showing high intent (e.g., visiting pricing page) |
Lead | Leads gathered from outreach or inbound efforts |
MQL | Marketing-qualified leads based on scoring from HubSpot workflows |
SQL | Sales-qualified leads after initial discovery and qualification |
PQL | Product-qualified leads that sign up for trials or request a demo |
Ambassador | Users who actively refer others or become advocates for the product |
Tools and Platforms
- CRM: HubSpot to track workflows, lead scoring, and outbound campaigns.
- Email Campaigns: Lemlist and Clearbit for outreach, A/B testing, and optimizing subject lines and content.
- SEO: Use Clearbit and programmatic SEO to target specific industries and personas.
- Social Media: LinkedIn manual and automated outreach to engage key prospects.