Bringing Traction to Your App

Accelerate user growth and engagement.

Overview

Growth-hacking and paid campaigns to accelerate user acquisition, engagement, and monetization for mobile/web apps.

State-of-the-Art Methods and Architectures

Meta & Google UAC

Target lookalike audiences; optimize for quality installs.

Organic ASO

Keyword optimization, frequent icon/screenshots updates.

Partnerships & Affiliates

Revenue share programs and influencer tie‑ins.

Market Landscape & Forecasts

+300%

Growth Rate

>60%

Retention

Paid, Organic, Referral

Channels

Implementation Guide

Push & In-App Messaging

Segment by behavior and time zone.

Referral Programs

Implement double-sided rewards and deep links.

Content Drops

Timed releases to spike re-engagement.

Technical Deep Dive

Data Preparation

Collect domain-specific text (e.g., medical records, legal documents). Clean and format data into JSONL.

Adapter Insertion

Insert LoRA/QLoRA adapters into the base model.

Training

Run training with domain data, using a learning rate schedule and early stopping. Monitor loss and validation metrics.

Evaluation

Use ROUGE, accuracy, or custom metrics. Compare outputs to base model.

Sample Code

from transformers import AutoModelForCausalLM, TrainingArguments, Trainer model = AutoModelForCausalLM.from_pretrained('llama-7b') # Insert LoRA adapters... # Prepare data... trainer = Trainer(model=model, args=TrainingArguments(...), train_dataset=...) trainer.train()

Why Fine-Tuning?

No Growth Strategy

- Slow user growth - Low retention - High churn

Growth-Hacked App

- Rapid user growth - High retention - Viral loops

FAQ

Industry Voices

"Growth-hacked apps see 3x faster adoption."

App Growth Summit

Project Timeline

Acquisition

Run campaigns.

Onboarding

Optimize experience.