Flowrad Case Study: 46+ MQLs from Zero Market Presence

Growth-led Email Outreach and LinkedIn Case Study

Delivered 46+ MQLs for Flowrad.ai in 3 months using a multi-channel, hyper-targeted outbound engine with persona-driven messaging.

floward

46+

Highly Qualified Leads

46+

MQLs in 60 Days

About FlowRad.ai

FlowRad.ai addresses key challenges for radiologists and healthcare institutions by automating the reporting process.

What pain-points FlowRad.ai addresses?

  • Drastically reduces the time spent on manual documentation and typing
  • Enforces standardized, structured reporting for improved clarity and compliance
  • Eliminates dependency on manual transcription services, which can be costly and slow
  • Automates tedious, repetitive administrative tasks in the reporting process

Offices :

Ghaziabad, India

Business Type :

B2B SaaS

Industry:

AI in Radiology

Ideal Customer Profile :

Regions: India

Buyer Persona: Radiologist, Doctors, Nuclear Medicine Specialist, Imaging Director

Domains: AI Automation, Business Process Automation, Report Making For Hospitals

Company Size: Startups, SMEs

Our Observations & Challenges

  • New Brand With Zero Market Trust: Flowrad entered the AI reporting space with no existing credibility, requiring trust-building messaging from day one.
  • Narrow Initial Use Case: Early product focus on radiology reporting meant a very limited ICP, demanding precise targeting and relevance.
  • No Existing Outreach Data: No prior lists, messaging, or benchmarks; everything had to be built from scratch.
  • Minimal Digital Footprint: Only a basic homepage at launch, offering little validation for cold prospects and lowering initial response confidence.
  • Need for Outreach-Ready Assets: To scale outreach, Flowrad needed clear ICP definitions, persona pain points, and supporting assets (use-case pages, proof points, messaging frameworks).

Our Strategies

  • Positioned FlowRad as a radiologist-first automation tool focused on speeding up reporting and reducing manual workload.
  • Framed the product around outcome-driven benefits: faster turnaround times, fewer repetitive tasks, and improved diagnostic accuracy.
  • Built messaging that resonated with real pain points, burnout, documentation overload, and reporting bottlenecks.
  • Targeted radiologists and diagnostic groups with hyper-relevant value props instead of generic AI claims.
  • Showcased FlowRad as a modern, efficient alternative to traditional reporting workflows, emphasizing time savings and operational efficiency.

Our Execution:

  • Key components:
    1. Channels- Email & LinkedIn
    2. Campaigns- Email Campaigns & Personalized LinkedIn Outreach
    3. Lead Segmentation- Target-based lists.
  • Built a multi-channel outbound engine combining cold email sequences and LinkedIn touchpoints to maximize visibility and response rates.
  • Developed hyper-targeted ICP lists focused on radiologists, imaging centers, diagnostic chains, and tele-radiology providers to ensure high relevance.
  • Created persona-specific messaging flows addressing workflow inefficiencies, reporting delays, documentation overload, and accuracy challenges.
  • Ran multi-step cold email sequences with personalized angles, proof-based messaging, and trust-building frameworks.
  • Executed LinkedIn connection workflows and follow-up messaging to reinforce email touches and warm up prospects organically.

Tools Used

  • Apollo.io
  • Saleshandy
  • Linkedin

Activities

  • Lead scrapping 
  • Outreach 
  • LinkedIn Outreach for Engagement 

What worked?

  • LinkedIn outreach consistently outperformed email, delivering higher response rates, better engagement, and stronger conversion into MQLs.
  • Prospects responded better to conversational, profile-based touchpoints, especially when value props were framed around workflow efficiency and AI-driven reporting.
  • Multi-step LinkedIn sequences (connection → soft value → CTA) proved effective for warming up cold prospects and moving them into meetings.

What didn't work?

  • Cold email underperformed due to low intent in the niche, prospect inbox fatigue, and limited brand credibility early on.
  • Email personalization wasn’t enough to overcome skepticism, given Flowrad’s new-entrant status and minimal digital footprint.

End Result

1. Clear Market Validation

Identified strong demand for AI-driven radiology reporting solutions through real outbound conversations, not assumptions. Prospects consistently showed interest in faster reporting, reduced workload, and workflow automation.

2. High-Quality MQL Generation

Generated 42 MQLs within 90 days, entirely through cold email + LinkedIn outreach (with LinkedIn being the dominant contributor). These MQLs came from radiologists, diagnostic centers, and tele-radiology providers across India.

3. Strong LinkedIn Performance

LinkedIn became the top-performing channel, delivering the majority of qualified conversations due to higher trust, better context, and more responsive engagement patterns.

4. Pipeline Impact Within the First 60–90 Days

Outbound efforts built the initial sales pipeline from scratch, giving Flowrad a validated ICP, real-world objections, and a clear roadmap for future product positioning.

Outreach Metrics Snapshot

  • Total Prospects Reached: 3148
  • Email → MQL: 4
  • LinkedIn → MQL: 42

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Case Studies

Key Services : Branding, Website UI, Content Marketing, Messaging, Positioning, Wordpress Development, SEO, LinkedIn Growth, Outbound Marketing.

Key Services : Website UI, Content Marketing, Messaging, Positioning, Wordpress Development, SEO, LinkedIn Growth, Outbound Marketing

Key Services : Branding,Website UI, Content Marketing, Messaging, Positioning, Wordpress Development.