AI customer personas that simulate and optimize your entire journey
Marketing teams at Indian startups couldn't scale experimentation speed for customer acquisition, experience, journey, and retention before AI
Create rich AI twins of your Indian customer segments using your data. PersonaFlow runs thousands of simulated journeys, discovers friction points, and generates high-impact experiments for acquisition, activation, and retention stages with one-click deployment templates.
Marketing leaders and teams at Indian consumer startups (Series A-C, $10-100M ARR)
Agent-based simulation using pgvector semantic search over your real customer data, with deep understanding of Indian cultural contexts, languages, and socioeconomic segments.
friendly
Create detailed personas from your CRM, surveys, and support data with RAG
Run 1000s of simulated customer journeys to find drop-off points
Converts simulation insights into ready-to-run experiments per journey stage
One-click templates for Braze, Clevertap, Shopify, and website changes
Predicts LTV impact of proposed experiments before launch
Factors in state, language, and festival calendars for Indian users
Compare 'before' and 'after' journey simulations visually
Marketing and product teams can collaborate on persona development
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| name | text | No |
| description | text | No |
| embedding | vector | Yes |
| demographics | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| persona_id | uuid | No |
| journey_stage | text | No |
| friction_score | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| simulation_id | uuid | Yes |
| title | text | No |
| status | text | No |
Relationships:
/api/personasCreate new persona with embedding
/api/simulateRun journey simulation using OpenAI + vector search
/api/experiments/from-simulationGenerate experiments from simulation insights
/api/personas/searchSemantic search over personas using pgvector
Limited history
Up to 8 team members
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 95 | 13% | $377 | $4,524 |
| Month 6 | 720 | 21% | $4,491 | $53,892 |
Build AI personas that mirror real user behavior across India's diversity. Discover what actually works before spending on tests.
Partner with 3 Indian consumer startups currently using Clevertap or MoEngage. Offer free persona migration and simulation workshop. Use their success metrics in launch content. Attend offline growth meetups in Bangalore and Delhi to demo live simulations.
Excellent session replay
Reactive rather than predictive, very expensive
Proactive simulation before real users are impacted
Good for prototype testing
No AI personas or journey simulation at scale
End-to-end from persona creation to experiment generation
Vector database of Indian customer journey patterns that becomes more accurate with every organization that contributes anonymized simulation outcomes.
Vector databases and agentic AI workflows became production-ready in late 2024, enabling realistic customer simulation at reasonable cost exactly when Indian startups need faster iteration.
Simulation accuracy may be questioned
Calibrate against real customer data continuously and show confidence intervals
Data privacy concerns with customer data upload
SOC2 compliance from day one, clear data deletion policies, and option for synthetic data only
Success: At least 6 teams agree simulation would reduce failed experiments by 40%
Success: 5 companies actively using weekly, 4 renew after trial
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