Building a Reddit-Native Social Intelligence Tool for PROSPOR | Case Study
Industry
SaaS
Target Market
North America and Europe
Project
UI/UX Design and Development of an AI Social Listening Tool
Key Outcomes
More than 42% increase in engagement in relevant subreddits | 70% reduction in project setup time | Increase conversion attribution visibility
Services
Ideation, Design, Development, and Deployment
User Interface Snapshots
About Our Client
PROSPOR is a Reddit-focused social listening and engagement platform designed to help brands tap into insightful data sources of authentic user conversations.
Reddit offers unmatched insight into real user sentiment, but its unstructured nature makes it difficult for brands to track brand mentions, identify relevant discussions, extract keyword insights to improve brand positioning, and respond at scale. PROSPOR aimed to bridge this gap by transforming raw Reddit data into actionable insights for marketing, growth, and customer success teams.
PROSPOR approached us to design and develop a custom dashboard-driven web application that could sit on top of an existing AI-powered backend and make Reddit intelligence accessible to both technical and non-technical users.
What Were The Business Challenges
Despite having a capable AI engine, the client faced major usability and operational gaps.
Some of the key challenges include:
- No centralized interface to manage brand monitoring projects
- Complex workflows for defining keywords, competitors, and subreddits
- No clear visualization of Reddit replies, mentions, or engagement trends
- Manual effort required to assign and track responses across threads
- Fragmented tooling that limited adoption by marketing and CX teams
- Difficulty scaling usage beyond internal or technical users
- Lack of role-based access for managing multiple users and projects
How We Solved These Challenges
We designed and developed a full-featured Reddit social listening platform with a strong emphasis on usability, performance, and scalability.
Here’s how we approached the problem:
- Built a project-based monitoring system that lets brands set up Reddit listening projects by defining brand names, competitors, keywords, engagement tone, and reply strategy within isolated project environments
- Implemented Reddit-specific filtering by subreddit and keyword clusters, allowing teams to focus only on high-intent, relevant conversations instead of noisy, broad Reddit data
- Developed an AI-assisted reply management system where threads are auto-tagged with draft responses, while allowing users to switch between automated and manual replies based on brand sensitivity
- Created a visual dashboard to track reply and engagement activity by project and subreddit, using clear charts to show reply volume and engagement distribution at a glance
- Built a real-time brand mentions panel that shows live Reddit threads with full context, helping teams respond accurately without missing conversational nuance
- Enabled multi-user access with role-based permissions, allowing admins to manage team members and control project states such as active, paused, or archived
- Designed a dedicated AI instruction interface so teams can customize tone, CTA, and response behavior, improving reply quality and relevance over time
- Developed a modern and mobile-friendly frontend using Next.js and Tailwind CSS, delivering a clean, responsive, and accessible dashboard optimized for daily operational use
Our Approach
Step 01
Discovery & Requirement Mapping
We started by understanding how brands actually use Reddit for discovery and engagement. This included mapping how teams search for mentions, decide which threads are worth replying to, and manage tone and consistency across multiple subreddits.
Step 02
Project & Keyword Structure Design
Defined a project-based structure where each brand could manage its own keywords, competitors, subreddits, and reply settings. This ensured monitoring stayed focused and didn’t turn into noisy, irrelevant data.
Step 03
Reddit Data Organization & Filtering Logic
Structured incoming Reddit data around keywords, subreddits, and brand mentions to surface only high-intent conversations. Special attention was given to preserving full thread context for accurate interpretation.
Step 04
AI Reply Workflow Implementation
Integrated AI-generated draft replies while keeping users fully in control. Teams could review, edit, switch between manual and automated replies, and fine-tune tone and call-to-action per project.
Step 05
Dashboard & Visualization Development
Built visual dashboards to help users quickly understand reply volume, engagement distribution, and project performance without needing to dig through raw data.
Step 06
User Roles, Testing & Performance Optimization
Added role-based access for teams, tested the platform across real Reddit scenarios, and optimized frontend performance to ensure smooth usage as projects and data volume increased.
What We Achieved
The new platform delivered measurable improvements across usability, engagement, and operational efficiency.
Key results include:
- More than 42% increase in engagement rates in niche subreddits such as r/CRM, r/smallbusiness, and r/Notion
- 70% reduction in project setup time by removing the need for coordination between multiple teams and allowing new projects to be launched in under 5 minutes via a no-code project builder
- Improved brand sentiment through consistent, context-aware replies that aligned better with Reddit community norms
- Enabled clearer conversion tracking by linking replies to tone, CTA, subreddit, and project
- Established a scalable SaaS foundation capable of supporting more brands, users, and monitoring projects without added operational effort
What Our Clients Say About Our Work?
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Program Director,
Tech Stack Used
Frontend
Next.js
Backend
Django
API
Reddit API
Payment Gateway
Stripe
Looking to Build A Social Listening or AI-Driven Platform?
Frequently Asked Questions
What does this Reddit social listening platform help brands achieve?
- The platform helps brands monitor Reddit conversations in real time, identify relevant threads, engage with high-intent discussions, and extract actionable keyword and sentiment insights from niche subreddits.
How does the platform reduce manual effort in Reddit monitoring?
It automates subreddit discovery, keyword filtering, thread tagging, and draft reply generation, allowing teams to focus on review and engagement instead of manual searching and analysis.
Can teams control how AI-generated replies are used?
Yes. Users can switch between automated and manual reply modes, define tone and CTA per project, and fine-tune AI behavior through a dedicated instruction panel.
Is the platform suitable for non-technical marketing teams?
Yes. The interface is designed for both technical and non-technical users, with no-code project setup, visual dashboards, and clear workflows for monitoring and engagement.
Can this platform scale for multiple brands or teams?
Absolutely. It supports multiple projects, subreddits, competitors, and users with role-based access, making it suitable for agencies, SaaS companies, and growing marketing teams.
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