How OutCheese 9× increased hot lead flow for a SaaS product — Case Study
Client Snapshot
AI Marketing SaaS
USA
Campaignswell helps Mobile/Web apps and E-commerce teams see the real ROI behind every dollar spent — forecasting LTV, ROAS, and revenue up to two years in advance
Objective
Build a solid outbound pipeline to generate and close qualified SQLs beyond the existing network
Pain Points
The previous outbound agency failed to deliver expected results, while the in-house lead gen efforts stalled due to team overload, suboptimal targeting, low personalization, and no scalable automation across LinkedIn and email
What Made Our Approach Work
AI filtering via API
Automatically screens large datasets through the OpenAI API to find companies and contacts that truly fit the ICP
Recycling old leads
After 4–6 months, reactivated old prospects who were previously unready — now familiar with the brand and open to new conversations
Advanced LinkedIn reach
Integrated AI workflows (n8n) to boost scalability and maintain outreach quality
Message diversity
Ran multiple copy variations and scenarios to personalize communication and improve engagement
New signal tracking
Tested additional tools to detect buying intent and prioritize active companies
Deep product immersion
Better understanding of client value proposition led to stronger argumentation and conversion
Marketing sync
Aligned with marketing team to process webinar and event leads, plus re-engage warm contacts
ICP We Chose (and Why)
01
Subscription-based apps
02
Large-scale ad buyers
($50k+ ad spend / month)
03
Mobile & Game publishers
Why:
Proven case — scaled a fitness app from $65K to $600K of daily ad spend
Heavy reliance on paid user acquisition channels
Similar monetization logic
Benefits:
Predictable recurring revenue
Measurable marketing ROI
High ad spend potential
Target Personas:
Сontrol budgets: Founders, CEOs, Heads of Growth, CMOs
Manage campaigns: Performance Marketing, UA, Growth Analysts
Buying Intent Signals
Relevant roles in the company: presence of UA or Performance Marketing leads indicates direct tool usage potential
Open vacancies: hiring for UA or Growth roles signals scaling and demand increase
LinkedIn growth posts: mentions of higher ad budgets or expansion plans
App Store growth: rising app ranks show active promotion and budget growth
Competitor tools: using similar platforms creates an entry point for better alternatives
Ad network activity: frequent Meta Ads or similar creatives imply ongoing paid acquisition
Industry events: participation in mobile marketing or dev events suggests readiness to test new tools
Messaging Strategy (A/B)
A: Case-first
Short, direct messages built around a proven success story: “Scaled from $65K to $600K of daily spend”
B: Personalized variant
Used a {{custom var}},
generated from 5 unique data points per person.
Included contextual relevance:
company type, product category, or role-based line
Result:
Both variants performed strongly.
Сase-driven and custom-personalized sequences
ran in parallel to maximize engagement
A/B tests covered:
short message🏆 vs long
5 messages sequence vs 3🏆
generic variants vs personalized🏆
localized language🏆 vs English
What Worked
LinkedIn audience scraped from posts with lead-magnets — active users with higher reply rates
Short, case-driven messages focused on measurable results
Clear ICP fit and data-backed personalization (industry + use case)
Multi-language outreach. Russian and Turkish messages performed 2–3× better than English
What Didn’t
Long or “soft interest” messages with no direct value proposition
Over-detailed sequences that diluted the core message
Data tools like Clay or Sensor Tower: high cost, low lead relevance, manual cleanup required.
They were replaced by our custom flows: n8n & GSheets+OpenAI
Key Takeaways
Client acquisition is impossible without APIs and automation for filtering, segmentation, and personalization
Smart data sourcing solves everything, don’t let anyone blur that focus
Short, case-study-driven messages crush long sequences
Results
Reply rate averaged 17%, and SQL conversion reached 2%
VS the typical 0.8–1% market benchmark for cold outreach in B2B SaaS
As a result, we generated 9x more leads per month at 3.2x lower cost than their previous agency, establishing a stable flow of SQLs monthly
with consistent lead quality and measurable ROI gains