Real Results.
Real Growth.

At Clever Collabs, we don’t just talk strategy — we deliver outcomes.

Below are real-world campaigns where smart targeting, AI-powered outreach, and sharp messaging came together to unlock scalable pipeline growth.Each project tells a story: of product potential unlocked, missed opportunities turned into booked meetings, and outbound systems built to last.

‍These aren’t just projects — they’re proof.

How Tring Went from Low Visibility to 15+ Qualified Meetings in 30 Days with a Strategic Outbound System

🚩 Before: Strong Product, Weak Pipeline

Tring had developed an impressive conversational AI platform that boosted engagement through automated voice and chat. But while the tech worked, lead flow didn’t. Inbound interest was sparse and unreliable.Their in-house team faced three major hurdles:Scaling outreach to relevant, high-fit companiesReaching real decision-makers who needed automationCommunicating value clearly in a saturated AI marketOutreach efforts felt like shouting into the void — few replies, fewer meetings, no momentum.

⚡ Turning Point: Targeted Lead Gen That Actually Converts

Our first step? Ask a better question:
“What if we stopped guessing — and focused only on those actively needing you?”
We transformed Tring’s approach with a full-funnel outbound engine, aligned with their product strengths.

🎯 Refined Ideal Customer Profile
  • Companies lacking voice/chat automation
  • Support teams overwhelmed by high ticket volume
  • Customers of legacy competitors with clunky tools
📊 Data-Backed Prospecting
  • Used tools like Apollo, Clay, and BuiltWith
  • Mapped decision-makers by title, industry, pain signals, and LinkedIn presence
✉️ Personalized Messaging That Resonates
  • Tailored emails to company pain points
  • Focused on ROI, efficiency, and reduced overhead
  • Conversational, human tone that cut through inbox noise
⚙️ Execution Infrastructure That Scales
  • Smart inbox warm-up with Smartlead.io
  • Proven subject lines and conversion-optimized CTAs
  • Live dashboards showing opens, replies, meetings booked
✅ After: 15+ High-Intent Meetings in 30 Days
  • 📅 15+ meetings with decision-makers at growing SaaS firms
  • 🚀 Trials and demos started within 2 weeks
  • 🔁 Built a repeatable system that delivers
  • 💬 30%+ reply rate with real interest

Tring stopped worrying about how to find leads — and started focusing on closing deals.

🔮 What’s Next for Tring?

We’re now scaling this outbound engine into verticals like healthcare, edtech, and logistics — industries where 24/7 conversational AI can drive major cost savings.Because now, Tring isn’t just a powerful product.
It’s getting the attention it deserves.

Continue to next project

Our Partnership

How Elephant.ai Accelerated Pipeline Growth: 20+ Qualified Sales Conversations in Just 3 Weeks by Zeroing In on the Right Fintech Decision-Makers

🚩 BEFORE: Cutting-Edge Product, But Stalled GTM Traction

Elephant.ai delivers an advanced AI infrastructure platform tailored for fintech companies to securely operationalize machine learning at scale. Its standout value? A frictionless, privacy-first foundation for data automation, model governance, and regulatory compliance — purpose-built for highly regulated environments.
Yet, despite a technically impressive offering, Elephant.ai’s go-to-market engine was struggling:

🧩 Hard-to-Reach Audience: The ideal buyers — fintech CTOs, ML leads, and data infrastructure teams — were highly specific and elusive through standard outbound channels.

👀 Low Market Visibility: In a space crowded with well-funded MLOps players, Elephant.ai wasn’t top of mind for decision-makers looking for secure ML deployment solutions.

💬 Messaging Misfires: The deep technical nature of the platform made it difficult to communicate value clearly in cold outreach.

📉 Inconsistent Pipeline: With a heavy reliance on referrals and events, sales velocity was unpredictable and momentum stalled.

THE INFLECTION POINT: Laser-Focused Prospecting + Messaging That Clicks

Elephant.ai engaged us to build a high-performance outbound system tailored to reach their core audience. Our strategy? Stop casting a wide net — and start zeroing in on fintech firms already facing the pain points Elephant solved.

🎯 ICP Precision: Who We Targeted
  • Fintech startups and growth-stage players in lending, payments, or embedded finance (Series A–C)
  • Teams developing AI/ML-powered solutions (fraud detection, credit risk, etc.)
  • Companies struggling with legacy infra or compliance complexity
  • Excluded: teams fully committed to end-to-end proprietary ML platforms or mature internal DevOps setups
🔍 Intelligent Prospecting & List Building
  • Mined fintech-specific sources like YC, Crunchbase, and PitchBook
  • Applied filters for AI/ML hiring signals
  • Used BuiltWith and Clearbit to identify tech stacks; enriched contacts via Apollo and Clay
✉️ Conversational, Use-Case-Driven Outreach
  • Focused on value props like ML deployment, observability, and regulatory readiness
  • Included openers like: “Still deploying models in sandbox environments?”
  • CTA examples: “Worth a quick chat to show how others cut ML overhead by 30%?”
⚙️ Execution at Scale
  • Used Smartlead.io for smart inbox rotation and deliverability
  • A/B tested multi-step sequences with tailored intros
  • Built live dashboards and Slack alerts to track real-time engagement
✅ AFTER: A Full Calendar in 3 Weeks
  • 📞 20+ sales-ready meetings with CTOs, Heads of Data, and ML Infrastructure Engineers
  • 📈 42% open rate, 14% reply rate
  • 🧪 3 active POCs with Series B fintech players
  • 🔁 Repeatable outbound motion for expansion across verticals
🔮 WHAT’S NEXT FOR ELEPHANT.AI?
  • Expanding to European fintechs adapting to new AI regulation
  • Forming co-sell alliances with industry-focused consultancies
  • Launching content-driven nurture campaigns to boost mid-funnel engagement

Elephant.ai has always had an intelligent product. Now, they have an intelligent growth engine to match.

Continue to next project

Our Partnership

How Elephant.ai Accelerated Pipeline Growth: 20+ Qualified Sales Conversations in Just 3 Weeks by Zeroing In on the Right Fintech Decision-Makers

🚩 BEFORE: Cutting-Edge Product, But Stalled GTM Traction

Elephant.ai delivers an advanced AI infrastructure platform tailored for fintech companies to securely operationalize machine learning at scale. Its standout value? A frictionless, privacy-first foundation for data automation, model governance, and regulatory compliance — purpose-built for highly regulated environments.
Yet, despite a technically impressive offering, Elephant.ai’s go-to-market engine was struggling:

🧩 Hard-to-Reach Audience: The ideal buyers — fintech CTOs, ML leads, and data infrastructure teams — were highly specific and elusive through standard outbound channels.

👀 Low Market Visibility: In a space crowded with well-funded MLOps players, Elephant.ai wasn’t top of mind for decision-makers looking for secure ML deployment solutions.

💬 Messaging Misfires: The deep technical nature of the platform made it difficult to communicate value clearly in cold outreach.

📉 Inconsistent Pipeline: With a heavy reliance on referrals and events, sales velocity was unpredictable and momentum stalled.

THE INFLECTION POINT: Laser-Focused Prospecting + Messaging That Clicks

Elephant.ai engaged us to build a high-performance outbound system tailored to reach their core audience. Our strategy? Stop casting a wide net — and start zeroing in on fintech firms already facing the pain points Elephant solved.

🎯 ICP Precision: Who We Targeted
  • Fintech startups and growth-stage players in lending, payments, or embedded finance (Series A–C)
  • Teams developing AI/ML-powered solutions (fraud detection, credit risk, etc.)
  • Companies struggling with legacy infra or compliance complexity
  • Excluded: teams fully committed to end-to-end proprietary ML platforms or mature internal DevOps setups
🔍 Intelligent Prospecting & List Building
  • Mined fintech-specific sources like YC, Crunchbase, and PitchBook
  • Applied filters for AI/ML hiring signals
  • Used BuiltWith and Clearbit to identify tech stacks; enriched contacts via Apollo and Clay
✉️ Conversational, Use-Case-Driven Outreach
  • Focused on value props like ML deployment, observability, and regulatory readiness
  • Included openers like: “Still deploying models in sandbox environments?”
  • CTA examples: “Worth a quick chat to show how others cut ML overhead by 30%?”
⚙️ Execution at Scale
  • Used Smartlead.io for smart inbox rotation and deliverability
  • A/B tested multi-step sequences with tailored intros
  • Built live dashboards and Slack alerts to track real-time engagement
✅ AFTER: A Full Calendar in 3 Weeks
  • 📞 20+ sales-ready meetings with CTOs, Heads of Data, and ML Infrastructure Engineers
  • 📈 42% open rate, 14% reply rate
  • 🧪 3 active POCs with Series B fintech players
  • 🔁 Repeatable outbound motion for expansion across verticals
🔮 WHAT’S NEXT FOR ELEPHANT.AI?
  • Expanding to European fintechs adapting to new AI regulation
  • Forming co-sell alliances with industry-focused consultancies
  • Launching content-driven nurture campaigns to boost mid-funnel engagement

Elephant.ai has always had an intelligent product. Now, they have an intelligent growth engine to match.

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