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Case Study Uptiq.ai-Building an ABM Engine for Modern Financial Leaders

Uptiq.ai is an AI-powered credit and lending automation platform that helps banks, credit unions, and SMB lenders streamline their intake, underwriting, and credit memo processes — without overhauling their LOS. In 2025, Uptiq wanted to expand its footprint among CFOs, credit leaders, and lending heads across the U.S., leveraging ABM (Account-Based Marketing) and targeted ad campaigns to reach high-intent enterprise prospects.
Founded:2022
Headquarters: McKinney, Texas
Size: 51-200 employees

🎯 Objective

To design a multi-layered ABM motion that:

  • Builds awareness and engagement among CFOs, VPs, and Credit Ops Heads in financial institutions.
  • Converts event-driven interest (ELFA, Digital Banking, Private Debt Investor Network) into pipeline.
  • Tests Uptiq’s value narrative around AI-enabled loan origination and credit automation across four key segments:
    Equipment Finance, Banks & Credit Unions, SMB Lending, and Dealerships.


🏁 Results

KPI Result
Total Ad Spend (July–Sept) $2,700
ABM Connections Sent (June–Sept) 3,874
Acceptance Rate 12.9%
Replies / Conversations 115 replies (23%)
Interested Prospects 50 (10%)
Opportunities Created 8 ($400K+ in deal value)
Event-based Conversion Rate 30–50% per event

🚀 Campaign Performance Snapshot

1. Paid Ads Performance (LinkedIn)

  • Overall CTR: 1.1%–2.1% across Credit Union and Equipment Finance ads.
  • Highest CTR: Service_CU_0608 at 2.10%, showing strong resonance with credit union audiences.
  • Top segments by coverage:
    • Equipment Finance: 55% audience reached
    • Equipment Finance Dealers: 39% audience reached
    • Banks & Credit Unions: 12% audience reached (scaling potential identified)

2. ABM Campaigns (LinkedIn + Email)

  • Total connections sent: 3,874
  • Acceptance rate: 12.9% overall
  • Reply rate: 23%
  • Interested/Engaged prospects: 10% (≈ 500+ replies across campaigns)
  • CFO/VP-level prospects engaged:
    • Bajaj Technology Services (EVP)
    • Equify Financial (SVP)
    • Nubank (Senior Director)
    • People First Federal Credit Union (President & CEO)
    • HSBC (Head of Private Credit)

💬 Real Conversations that Converted (Examples)

Uptiq’s ABM approach emphasized personalized messaging based on the prospect’s function (Finance, Risk, or Lending Ops) and context (Event, Product, or Region):

Campaign Target Segment Outcome
Equipment Finance Funders VPs & SVPs of Equipment Finance 3 prospects requested product demos; 1 opportunity worth $100K confirmed.
Credit Unions CFOs & Credit Ops Heads 2 warm opportunities opened post “AI in Credit Union Webinar.”
SMB Lending COOs & Credit Heads 6 replies scheduling calls; average 16% acceptance rate.
Private Debt Investor Network CFOs, Heads of Private Credit Replies from HSBC, AllianceBernstein, and Rithm Capital; 1 meeting scheduled with Head of Private Credit, HSBC.
Digital Banking Conference (Boca Raton) Senior Banking Leaders 17 interested replies (32% interest rate); one closed deal worth $50K from Nubank.

🧩 Target Persona Deep Dive

The primary decision-makers reached were CFOs, Senior VPs, and Credit Heads across:

  • Banks & Credit Unions → “Navigating AI in Credit Union” webinar and LSA campaigns.
  • Equipment Finance Funders → Executives like Ritzon Fernandez, SVP at Equify Financial.
  • Private Debt / Institutional Lending → CXOs and Managing Partners at HSBC, AllianceBernstein, and Rithm Capital.
  • SMB Lending Platforms → Founders and COOs at Rapid Finance, Founderpath, and Lendr.

💡 Across all verticals, CFOs and SVPs were the strongest responders, showing clear buying intent toward operational efficiency and credit automation narratives.

📊 Engagement Analytics

Platform Metric Result
Dripify (LinkedIn Automation) Connection Requests 3,874 Sent → 12.9% Accepted
Dripify (LinkedIn Automation) Replies 115 (23%)
Dripify (LinkedIn Automation) Interested Prospects 50 (10%)
Instantly (Email) Emails Sent 2,916
Instantly (Email) Replies 0.07% (still experimental)
AiSDR (AI Email Agent) Emails Sent 656
AiSDR (AI Email Agent) Replies 0.15% (to be scaled with personalization)

🎯 Channel-Wise Highlights

LinkedIn ABM

  • Best-performing message: “We’ve helped SMB lenders cut time-to-offer by 60–80% without replacing their LOS.”
    → Avg acceptance 16%, reply 33%, interest 24% (SMB Lending cohort).
  • Credit Union campaign averaged 8–14% acceptance, with manual HOT replies from credit leaders (e.g., Spreading & Memo Automation sequence).

Events as Intent Triggers

Uptiq’s ABM calendar integrated event participation as lead catalysts:

  • ELFA Innovation Lab → 50% reply rate; multiple meeting requests from finance leaders at Wintrust and Fleet Advantage.
  • Private Debt Investor Network → 47% reply rate; direct responses from HSBC and AllianceBernstein.
  • Digital Banking Conference → 32% interest rate; resulted in two qualified opportunities.

💡 Learnings

  1. Segment-specific creatives outperform generic ads.
    Equipment Finance and Credit Union ads achieved up to 2.1% CTR with targeted messaging.
  2. Events are top-tier ABM levers.
    Uplifting reply rates by 3–4× compared to cold outreach.
  3. Personalized LinkedIn + Human follow-up = Conversion.
    80% of opportunities originated via direct LinkedIn messaging, not email.
  4. CFO-driven conversations convert fastest.
    CFOs and SVPs consistently replied to ROI- and efficiency-oriented copy.

🧠 Strategic Impact

Through hyper-personalized outreach, event-led nurturing, and continuous ad optimization, Uptiq built a repeatable ABM motion that:

  • Generated CXO-level engagement across 150+ enterprise accounts.
  • Delivered tangible ROI through event-led conversions and CFO-driven discussions.
  • Positioned Uptiq.ai as a credible, AI-driven partner for credit and lending transformation in financial institutions.

📍 Summary

In just 120 days, Uptiq’s ABM system evolved from initial audience building to multi-channel deal generation, achieving:

  • Direct engagement with CFOs and senior finance executives.
  • Cross-segment pipeline spanning banks, credit unions, and lending platforms.
  • Strong event-to-pipeline attribution and awareness lift across the U.S. lending ecosystem.

Uptiq.ai’s ABM playbook proved that when personalization meets persistence, even conservative financial buyers (CFOs and SVPs) engage deeply with AI-led transformation narratives.

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