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:
- Audits current growth metrics and identifies opportunities
- Maps user journey and conversion funnels
- Prioritizes experiments using ICE framework (Impact, Confidence, Ease)
- Designs 20 experiments across acquisition, activation, retention
- Implements experimentation infrastructure (feature flags, analytics)
- Runs experiments with proper statistical significance
- Analyzes results and documents learnings
- Scales winning experiments to 100% of users
- Builds growth model to forecast impact
- Trains team on experimentation methodology
- 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:
- Analyzes current user sharing behaviors
- Researches successful referral program benchmarks
- Designs referral incentive structure (give $10, get $10)
- Creates viral loop mechanics and user flows
- Builds in-app referral widgets and sharing tools
- Develops social sharing templates optimized for conversion
- Implements referral tracking and attribution
- Creates email campaigns to promote referrals
- Gamifies referrals with leaderboards and milestones
- Monitors viral coefficient and K-factor metrics
- 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:
- Defines activation metric (e.g., 3 key actions in 7 days)
- Analyzes user cohorts to identify drop-off points
- Conducts user research to understand friction
- Maps ideal onboarding flow and aha moments
- Redesigns onboarding to reduce steps to value
- Implements progressive onboarding with guidance
- Creates activation email sequences
- Adds in-app messaging for key moments
- Tests different onboarding variations
- Personalizes onboarding based on use case
- Monitors activation rate improvements weekly
Deliverables: 2x activation rate improvement, optimized onboarding, experiment results
API Reference
Invoke Grace
POST /agents/named/grace/invokeExample 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 gracePricing
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
Related Agents
- 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
- Documentation - docs.do/agents/grace
- API Reference - docs.do/api/agents/named
- Community - Discord
- Support - support@do
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