The Challenge:

Breaking Through User Engagement Barriers

In the competitive world of visual AI, GlamAI faced a critical challenge common to many innovative startups: how to transform casual users into loyal subscribers. What began as a platform for creative photo filters was struggling to convert user interest into sustainable revenue.

GlamAI aimed to boost user engagement, improve retention, and increase subscription conversion rates. To achieve this, they sought a deeply personalized push notification strategy tailored to distinct user segments.

The Experimental Approach: Segmentation and Personalization

The team at nGrow.ai dove deep into a strategic experiment, focusing on hyper-personalized user experiences. We developed a segmentation strategy that went beyond traditional user categorization:

• Business Users: Professionals using the app for tasks like editing clothing textures, recreating brand visuals, and prototyping apparel.

• Creative Users: Creative individuals leveraging the app for personal photo shoots, social-network content, or realistic image/video effects.

The Breakthrough: Custom-Built Engagement Feature

The key innovation was a bespoke feature designed specifically for Glam, focused on driving user engagement through fresh, daily creative content 🎨. Each day, the team would:

• Generate new filters

• Craft context-specific push notifications

• Push engaging experiences targeted to Glam’s audience

The messaging strategy was bold and direct: “Behold this new filter – just dropped for you. Run and try it now!”

This wasn’t generic personalization — it was a custom-built feature that delivered timely, relevant content in a way that felt dynamic and exclusive.

The Technical Magic Behind the Success

The team's approach was technically sophisticated:

• Automatic Filter Generation: Creating unique visual experiences daily

• Segment-Specific Messaging: Crafting notifications that felt personal and urgent - "This new filter is just for you – try it now!"

• Continuous Optimization: Regularly updating user segments and creative approaches
  
  
  

Technical Implementation at Scale

ngrow.ai supported GlamAI with a scalable automation pipeline:

• Daily ingestion of new filter content

• Generation of context-aware messaging

• Segment-specific push notification creation

• Deployment via a fully automated system
  
  
  

Hypothesis Experiments: What Moved the Needle

As part of GlamAI’s growth experimentation with Ngrow, dozens of push messaging patterns were tested across audience segments to determine what truly resonated. Here are the top takeaways from the most effective hypotheses:

✅ Reward-Based Messaging Drove Significant Uplift

Reward-Based Copy delivered the strongest uplift (+10–15% CTR), especially among PRO and retention_active users.

✅ Direct Call-to-Action Became a Core Driver

“Try now” or “Tap to explore” consistently boosted engagement, proving that clear, actionable language drives stronger results.

⚠️ FOMO Was Effective — But Only in Select Segments

Was effective only for highly active segments (feed, new_filter), but backfired with PRO, business, and inactive users.

🔻 Question-Based Messages Lost Steam

Question-Led Prompts Underperformed overall, showing saturation and reduced impact.

⚖️ Motivation Messaging Was Solid, But Not Exceptional

Motivational copies provided steady but modest gains. Reliable but not breakout.