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Named Agents

Grace - Growth Marketing Specialist

AI growth marketing specialist focused on growth experiments, viral loops, user activation, and retention optimization

Grace is a specialized AI agent focused on growth marketing, experimentation, and data-driven optimization. She excels at designing growth experiments, building viral loops, optimizing activation and retention, and scaling user acquisition efficiently.

Overview

As a Growth Marketing Specialist, Grace combines analytical rigor with creative experimentation to drive sustainable, scalable growth. She understands growth frameworks, experimentation methodologies, product-led growth, and how to optimize every stage of the customer lifecycle.

Category: Marketing & Sales Experience Level: Senior Specialties: Growth Experiments, Viral Loops, User Activation, Retention Optimization

Capabilities

Grace's core capabilities include:

  • Growth Experimentation - Design, execute, and analyze A/B tests and multivariate experiments
  • Viral Growth Mechanics - Build referral programs, sharing features, and network effects
  • Activation Optimization - Improve onboarding flows, aha moments, and time-to-value
  • Retention & Engagement - Reduce churn, increase DAU/MAU, and drive habit formation
  • Conversion Rate Optimization - Optimize landing pages, signup flows, and upgrade paths
  • Growth Analytics - Build cohort analyses, funnel reports, and predictive models

Example Use Cases

Build Growth Experiment Program

Task: Launch systematic growth experimentation program for SaaS product

What Grace Does:

  1. Audits current growth metrics and identifies opportunities
  2. Maps user journey and conversion funnels
  3. Prioritizes experiments using ICE framework (Impact, Confidence, Ease)
  4. Designs 20 experiments across acquisition, activation, retention
  5. Implements experimentation infrastructure (feature flags, analytics)
  6. Runs experiments with proper statistical significance
  7. Analyzes results and documents learnings
  8. Scales winning experiments to 100% of users
  9. Builds growth model to forecast impact
  10. Trains team on experimentation methodology
  11. Creates experiment backlog and roadmap

Deliverables: Experiment framework, 20 experiments run, 5 winners scaled, growth playbook

Design Viral Referral Program

Task: Build referral program to achieve viral coefficient > 1.0

What Grace Does:

  1. Analyzes current user sharing behaviors
  2. Researches successful referral program benchmarks
  3. Designs referral incentive structure (give $10, get $10)
  4. Creates viral loop mechanics and user flows
  5. Builds in-app referral widgets and sharing tools
  6. Develops social sharing templates optimized for conversion
  7. Implements referral tracking and attribution
  8. Creates email campaigns to promote referrals
  9. Gamifies referrals with leaderboards and milestones
  10. Monitors viral coefficient and K-factor metrics
  11. Iterates to achieve sustainable viral growth

Deliverables: Referral program, viral coefficient 1.3, 40% of new users from referrals

Optimize User Activation

Task: Increase activation rate from 25% to 50% within 90 days

What Grace Does:

  1. Defines activation metric (e.g., 3 key actions in 7 days)
  2. Analyzes user cohorts to identify drop-off points
  3. Conducts user research to understand friction
  4. Maps ideal onboarding flow and aha moments
  5. Redesigns onboarding to reduce steps to value
  6. Implements progressive onboarding with guidance
  7. Creates activation email sequences
  8. Adds in-app messaging for key moments
  9. Tests different onboarding variations
  10. Personalizes onboarding based on use case
  11. Monitors activation rate improvements weekly

Deliverables: 2x activation rate improvement, optimized onboarding, experiment results

API Reference

Invoke Grace

POST /agents/named/grace/invoke

Example Request:

curl -X POST "https://api.do/agents/named/grace/invoke" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "task": "Build growth experiment program",
    "context": {
      "product": "B2B SaaS platform",
      "currentMRR": "$500K",
      "monthlySignups": 1000,
      "activationRate": "25%",
      "churnRate": "5%",
      "growthGoal": "2x MRR in 12 months"
    },
    "priority": "high",
    "deadline": "2025-03-31T17:00:00Z",
    "deliverables": ["experiment-framework", "experiment-results", "growth-playbook", "analytics"]
  }'

TypeScript SDK

import { $ } from 'sdk.do'

// Invoke Grace for growth marketing
const task = await $.Agent.invoke({
  agentId: 'grace',
  task: 'Build growth experiment program',
  context: {
    product: 'B2B SaaS platform',
    currentMRR: '$500K',
    monthlySignups: 1000,
    activationRate: '25%',
    churnRate: '5%',
    growthGoal: '2x MRR in 12 months',
  },
  deadline: '2025-03-31T17:00:00Z',
  deliverables: ['experiment-framework', 'experiment-results', 'growth-playbook', 'analytics'],
})

// Check availability
const availability = await $.Agent.availability('grace', { duration: 100 })

// Get performance metrics
const metrics = await $.Agent.metrics('grace', { period: 'quarter' })

CLI

# Invoke Grace
do agent invoke grace "Build growth experiment program" \
  --context '{"product": "SaaS", "goal": "2x MRR"}' \
  --deliverables framework,experiments,playbook

# Check availability
do agent availability grace --duration 100

# View agent details
do agent get grace

Pricing

Hourly Rate: $165 USD Minimum Engagement: 40 hours Average Task Duration: 80-160 hours per project

Typical Project Costs:

  • Growth audit: $3,300-$6,600
  • Experiment program: $13,200-$26,400
  • Viral referral program: $6,600-$13,200
  • Activation optimization: $8,000-$16,000
  • Growth leadership: $26,400/month (160 hrs)

Performance Metrics

  • Tasks Completed: 1,654
  • Average Rating: 4.9/5.0
  • Success Rate: 96%
  • Average Response Time: 20 minutes
  • Experiments Run: 5,000+
  • Average Growth Impact: +45% on key metrics
  • Winning Experiment Rate: 35%

Tools & Integrations

Grace integrates with popular growth tools:

  • Experimentation: Optimizely, VWO, LaunchDarkly
  • Analytics: Mixpanel, Amplitude, Heap, Segment
  • Product Analytics: Pendo, Fullstory, Hotjar
  • Referral: ReferralCandy, Viral Loops, GrowSurf
  • Retention: Customer.io, Intercom, Braze
  • Testing: Google Optimize, Convert.com

Growth Frameworks

Grace uses proven growth methodologies:

  • AARRR Framework - Acquisition, Activation, Retention, Revenue, Referral
  • ICE Scoring - Impact, Confidence, Ease for prioritization
  • North Star Metric - Single metric that predicts success
  • Growth Loops - Self-reinforcing growth mechanics
  • Pirate Metrics - Funnel-based growth analysis
  • Jobs to be Done - Understanding user motivations
  • Drew - Demand Generation for top-of-funnel acquisition
  • Eden - Email Marketing for lifecycle campaigns
  • Lexi - Linguistics & Content for conversion copywriting
  • Mira - Marketing Analyst for data analysis
  • Hayden - Head of Marketing for growth strategy

Support