Customer discovery limitations
Finding ideal remittance segments required manual research across platforms, creating inconsistency and slow execution.
Case Study
How AI tripled User base without growing the Team
LendingIQ built an end-to-end AI-powered go-to-market engine for the Client, automating customer discovery, content, and campaign optimization.
Client
Remittance Startup
Domain
Cross-Border Fintech
Function
GTM Engineering
Role
AI System Design & Build
3×
Growth in User base
5K→15K
MAU increase
0
New hires required
The Client needed to scale fast, but its go-to-market relied heavily on manual execution and paid channels. LendingIQ engineered a fully automated GTM stack where AI agents handle discovery, enrichment, content, and optimization in a continuous loop.
01
The Growth Ceiling
The Client operates in a crowded international remittance market. Their users were active online but fragmented across communities and channels, making manual targeting difficult to scale.
Rising customer acquisition costs
Paid channels were becoming expensive, pressuring margins and making linear spend-led growth unsustainable.
Limited marketing automation
Content production and campaign execution across channels depended on a lean team with limited throughput.
Inefficient targeting
Without structured customer signals, campaigns remained broad and wasted spend on low-intent audiences.
02
The System: Acquire. Automate. Optimize.
LendingIQ designed a three-phase AI GTM engine where each stage feeds the next, creating a compounding, self-improving growth loop.
Capability 1
Acquire - find the right people
AI agents scan communities for high-intent segments, enrich leads, and pre-qualify remittance intent before outreach.
Capability 2
Automate - reach at scale
AI-generated campaign content is deployed across Instagram, TikTok, and YouTube with low manual overhead.
Capability 3
Optimize - keep improving
CRM and campaign feedback continuously improve targeting precision and channel-level conversion performance.
03
The AI GTM Workflow
Each stage is connected in sequence - from discovery to campaign execution to continuous optimization.
Customer discovery
AI agents scan web platforms and communities to identify high-potential remittance audiences at scale.
Data enrichment
Discovered leads are enriched with demographic and behavioral attributes for better targeting.
Intent identification
Models isolate users with strong remittance intent, reducing low-quality campaign spend.
Campaign automation
AI-generated content and campaigns are launched across social channels with minimal manual operations.
Continuous optimization
Performance signals flow back into discovery and targeting logic, improving efficiency each cycle.
3×
Monthly active users grew from 5,000 to 15,000 without adding headcount.
- ✓Automated discovery of high-intent users
- ✓Sharper segmentation and targeting precision
- ✓Faster campaign execution velocity
- ✓Scaled acquisition without increasing CAC
- ✓Improved conversion rates across channels
04
What Was Delivered
LendingIQ delivered integrated AI components that now act as the core of Client's growth infrastructure.
AI acquisition agents that continuously surface high-intent users from target segments.
Lead enrichment workflows that create complete profiles before outreach.
AI content generation pipelines for Instagram, TikTok, and YouTube.
A GTM optimization engine that uses CRM and campaign performance feedback.
05
System Architecture
Six integrated components form the backbone of the GTM engine.
Customer Discovery Agent
Lead Enrichment Engine
Intent Detection Models
Content Generation Agents
Marketing Campaign Automation
CRM Feedback Loop