Autonomous AI that runs, monitors, and optimizes your marketing experiments 24/7
Marketing teams at Indian startups couldn't scale experimentation speed for customer acquisition, experience, journey, and retention before AI
LiftLoop connects to your Meta, Google, and email platforms then autonomously spins up test variants, allocates budget to winners in real-time, kills losers, and generates new tests using reinforcement learning concepts. Designed specifically for Indian startups that need to move faster than global competitors.
Marketing leaders and teams at Indian consumer startups (Series A-C, $10-100M ARR)
True closed-loop automation with safe guardrails and human override, focused on continuous optimization rather than one-off tests.
professional
AI continuously creates new test variants across ad platforms and email
Live dashboard with WebSocket updates showing winner/loser status
Automatically shifts spend toward winning variants using multi-armed bandit logic
Stops underperforming tests and spins up fresh ones without human input
Native integrations with Meta Ads, Google Ads, and Klaviyo
Complete history of every AI decision with explanations
Set guardrails and business rules for the AI to follow
AI-generated narrative report of what worked and why
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| text | No | |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| name | text | No |
| status | text | No |
| channel | text | No |
| budget | int | No |
| last_optimized | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| loop_id | uuid | No |
| creative_id | text | No |
| performance | int | Yes |
| status | text | No |
| allocated_budget | int | Yes |
Relationships:
/api/loopsGet all active optimization loops
/api/loopsCreate new autonomous optimization loop
/api/webhooks/metaReceive performance data from Meta Ads
/api/optimizeTrigger AI optimization decision for a loop
Limited budget under management
$15k monthly ad spend
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 85 | 11% | $319 | $3,828 |
| Month 6 | 680 | 19% | $4,031 | $48,372 |
LiftLoop runs continuous AI-powered experiments across your channels while you focus on strategy.
Offer free setup and 60 days free management to three Series B Indian consumer companies via warm intros from investors (focus on those complaining about CAC). Document their results as case studies. Target ex-Flipkart growth leads on LinkedIn with personalized ROAS improvement projections.
Good website personalization
Not multi-channel, expensive, complex
True hands-off automation across ads and email at startup-friendly price
Strong creative generation
No continuous optimization or budget shifting
Full closed loop from creation to budget allocation and killing
Proprietary reinforcement learning model that improves with every campaign it runs across the user base (anonymized), creating compounding performance advantage.
API maturity from Meta/Google combined with reliable LLM reasoning and cheap inference now makes true autonomous marketing loops possible for the first time.
Platforms may restrict heavy automation
Build conservative guardrails and maintain human-in-loop option for all actions
Integration maintenance burden
Use official partner APIs where possible and limit initial scope to top 3 channels
Success: All 3 see minimum 22% efficiency gain and want to continue
Success: Zero destructive actions in 30 days of internal + beta testing
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