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Case study

Arkreach — AI-Powered PR Analytics

Arkreach — AI-Powered PR Analytics
ClientArkreach (SaaS startup)
EngagementPlatform design, development & deployment
IndustryPR analytics · Media intelligence
StackLaravel, React, MySQL, AWS, custom ML models

About the client

Arkreach set out to compete in the $4.4B PR analytics market with AI-driven measurement and media planning — deeper than social metrics and domain-level tracking. They had the product vision but needed a technical partner to build an enterprise-scale platform that could process massive news consumption data and deliver article-level insights.

QBF designed and developed Arkreach’s full-stack PR analytics SaaS from scratch: real-time campaign measurement, persona-based media planning, and crisis monitoring in one product.

The challenge

  • Traditional PR analytics leaned on social data and domain-level tracking, missing article-level audience insight.
  • PR firms struggled to prove earned media ROI without real-time impact tracking.
  • Media planning tools lacked persona-based targeting, leading to inefficient outreach.
  • Arkreach needed a highly scalable, AI-first architecture to credibly sell to enterprise agencies.

What we built

01

AI-powered PR measurement

  • Real-time Share of Voice (SoV) — campaign reach beyond social media vanity metrics.
  • Article-level sentiment and audience persona analysis — reader reaction measured per piece, not per domain.
  • Journalist performance insights — high-impact journalists ranked by engagement.

02

Scalable media planning engine

  • 97,200 media segments across 27 categories for precise outreach targeting.
  • Predictive audience reach modeling — AI recommendations for media selection.
  • Automated journalist discovery based on influence metrics.

03

Content optimization & crisis management

  • AI-generated content performance recommendations for PR impact.
  • Real-time risk alerts and crisis tracking from sentiment spikes.

Technologies

Backend

Laravel — API-driven architecture for data pipelines

Frontend

React — interactive analytics dashboards

Database

MySQL with AI-oriented data modeling

Infrastructure

AWS — auto-scaling, real-time processing

AI

Custom ML models for sentiment analysis and audience segmentation

Outcomes

$4,000/month

Enterprise client

MSL India (Publicis Groupe) onboarded at $4,000/month

38+ early adopters

Early adoption

38+ early adopters, 25+ active monthly users

114 analytics dashboards

Product usage

114 analytics dashboards created in the platform

✓

Pipeline

Enterprise outreach to Telus (Canada), Grayling (Singapore), Zeno Group

✓

Market position

Live SaaS validating AI-first PR analytics with paying agency clients

Roadmap delivered on

  • Architecture ready for LLM-driven predictive modeling extensions.
  • Enterprise integration patterns for global PR firms and media houses.
  • Scalable data pipeline foundation for continued AI feature expansion.

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