Project Overview
This project involved the creation of a sophisticated video marketing platform designed to transform passive video content into interactive experiences. The system's AI object tracking empowers marketers to place clickable calls-to-action, product info, and custom branding directly on moving objects in a video, turning passive views into measurable engagement and conversions.
Client Request
AI-Powered Interactivity
Develop a system that can automatically identify and track objects in any video, allowing users to attach interactive hotspots and links.
Custom Branding Suite
Provide an easy-to-use interface for marketers to apply custom branding, logos, and graphic overlays to their videos without needing technical skills.
Social Media Integration
Ensure that interactive videos can be seamlessly shared across major social media platforms while retaining their engaging features & tracking analytics.
Challenges
- Developing a robust AI model capable of accurately tracking objects across diverse video qualities, lighting conditions, and camera movements.
- Creating a fluid, real-time video editor that allows for the precise placement of interactive elements on a video timeline without compromising performance.
- Engineering a scalable cloud infrastructure to handle intensive video processing, encoding, and streaming for a large number of concurrent users.
Key Insights Revealed
Passive Viewer
Experience
Standard videos offered no direct path to purchase or engagement, leading to high drop-off rates.
Manual Video
Editing
Adding branding or interactive elements was a time-consuming, manual process requiring expert-level software.
Ineffective
Analytics
Marketers lacked data on which specific products or moments in a video captured viewer interest.
Low Ad
Conversion
Traditional video ads were failing to translate views into tangible actions like clicks or purchases.
Inconsistent
Branding
Maintaining consistent branding across video campaigns on different platforms was difficult and inefficient.
Mobile-First
Limitations
Existing solutions were not optimized for creating or viewing interactive videos on mobile devices, where most consumption occurs
To tackle all challenges efficiently, we used the following approach:
We began with extensive research into computer vision and machine learning models. We defined the core user workflow, designed a low-fidelity prototype of the video editor, and architected a cloud-based system optimized for heavy video processing tasks.
Our AI team trained and fine-tuned a custom object tracking model. Simultaneously, our web team built the front-end editor using React, focusing on a drag-and-drop user experience. The back-end was developed to manage video uploads, AI processing queues, and analytics tracking.
The platform underwent rigorous testing with a beta group of marketing agencies to gather feedback and refine features. We optimized the video rendering pipeline for speed and integrated social sharing APIs before the final, successful launch.
Results: Transformed the client’s offering into a cutting-edge video marketing tool that delivered exceptional ROI.
300% Increase in CTR
Interactive hotspots on products led to a tripling of click-through rates compared to traditional video ads with end-screen links.
Boosted Viewer Engagement
Average watch time increased by 75% as viewers interacted with the content rather than just passively watching.
Simplified Campaign Creation
Marketers reported reducing video preparation time from hours to minutes, thanks to the intuitive editor and AI assistance.
Actionable Data Insights
The platform provided detailed analytics on hotspot interactions, giving clients unprecedented insight into viewer behavior and product interest.
Core Technologies
We used the following technologies to deliver this project.
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