How Minka Re-Activated Enterprise Accounts Using AI-Driven Growth Infrastructure

Introduction

Scaling enterprise fintech in Latin America requires precision. Minka operates in a market where trust, regulatory intelligence, and technical credibility determine whether conversations even begin. Standard advertising does not work for CTOs and Heads of Payments.

To generate high-value SQLs, we implemented an Account-Based Marketing strategy powered by Checkgrow’s AI-driven growth system, combining precision targeting, automated nurturing, and CRM intelligence.

About Minka

Minka is a Colombian fintech infrastructure company focused on real-time payment networks and cloud-based core banking systems across Latin America

Through products like Minka Switch, Minka Hub, and Minka Ledger, the company enables instant account-to-account transfers with 99.999% uptime and zero-fraud infrastructure. Their mission is to modernize national payment systems through clean engineering and scalable architecture.

Their clients include financial institutions, clearinghouses, and enterprise fintech platforms operating at national scale.

The Challenge: Reaching High-Level Financial Decision Makers

Minka needed qualified SQLs in a highly specific niche. The target audience included CTOs, Heads of Payments, and senior financial operators across Colombia and regional hubs.

Challenges included:

• Extremely narrow ICP

• Long B2B sales cycles

• Low tolerance for promotional messaging

• Dormant enterprise accounts such as Mercado Libre

• Risk of losing high-value leads through slow CRM routing

Broad lead generation would waste budget. Precision was required.

How Checkgrow Powered the Strategy

We executed the entire initiative inside Checkgrow’s growth operating system.

1. Knowledge Center Foundation

We centralised Minka’s:

• Technical documentation

• Regulatory positioning

• Whitepaper content

• ICP definitions

• Regional targeting strategy

This allowed AI Agents to generate technically precise campaign assets aligned with fintech infrastructure language. The ad team significantly reduced creative turnaround time while increasing messaging depth.

2. Marketing Campaigns with AI-Generated Architecture

Using Checkgrow Marketing Campaign Agents:

• Generated dual-track ABM structure

• Created whitepaper distribution funnel

• Built brand reinforcement sequence

• Attached campaign events from LinkedIn and analytics

• Structured cross-channel tracking

All campaign assets including ads, variations, and nurture messaging were generated within the same environment.

3. LinkedIn Integration and Sales Campaigns

Through LinkedIn integration:

• Connected Minka’s ad accounts directly

• Executed targeted distribution campaigns

• Built strict filtering by region and role

• Generated personalized outreach templates

Sales Campaign Agents supported ICP research and outreach personalization for high-value accounts.

4. Radar Social Listening

Radar monitored fintech and regulatory discussions across LinkedIn.

AI Agents:

• Identified relevant industry conversations

• Generated contextual comments

• Maintained brand authority in professional threads

This reinforced visibility beyond paid impressions.

5. Retargeting Intelligence Powered by AI Insights

Checkgrow Insights connected campaign data and CRM events.

AI Agents:

• Identified high-intent engagement behavior

• Built dedicated retargeting pools

• Maintained nurture sequence visibility

• Prioritized engagement based on interaction depth

This ensured dormant prospects stayed within visibility until decision readiness.

6. CRM Automation with Enterprise AI Agents

We deployed Checkgrow Enterprise Agents to automate:

• Lead tagging

• Source stamping

• Intent classification

• CRM routing

• Priority flagging for targeted banks

No manual sorting. No delays.

High-value leads were flagged instantly and routed correctly.

7. Objectives and Tasks Alignment

Quarterly Objectives were generated within the platform:

• ABM lead acquisition targets

• SQL conversion benchmarks

• Regional performance goals

AI-generated Tasks provided operational guidance for both marketing and sales teams, ensuring alignment between campaigns and outreach execution.

Execution Summary

The campaign launched in December, traditionally a low-performance B2B month.

Instead of pausing, we focused on:

• High-value whitepaper distribution

• Continuous retargeting

• CRM automation

• Persistent professional visibility

• Regional precision targeting

Everything was managed inside Checkgrow, from asset generation to CRM infrastructure.

Results

Within the first week of active testing:

• 46 Total Leads generated

• 4 Qualified Banks entered pipeline in under 7 days

• Mercado Libre reactivated as a lead

• Retargeting engagement sustained across weeks

• Zero manual lead routing delays

Additional operational gains:

• Significant reduction in creative production time

• Faster campaign deployment cycles

• Improved speed-to-lead through automated routing

• Stronger alignment between marketing and sales

Key Outcomes

• +4 Qualified banking institutions in 7 days

• High-seniority Mercado Libre lead re-engaged

• Structured retargeting sequence created

• CRM automation reduced operational bottlenecks

• Increased enterprise pipeline velocity

Conclusion

Minka did not need more visibility. It needed precision.

By combining Account-Based Marketing strategy with Checkgrow’s Knowledge Center, AI Agents, CRM automation, and analytics-driven retargeting, we transformed enterprise lead acquisition into a controlled system.

Checkgrow allowed Minka to:

• Educate rather than promote

• Nurture rather than chase

• Automate without losing personalization

• Scale enterprise conversations with technical authority

With high-value accounts reactivated and pipeline expanding across the banking sector, Minka strengthened its position as a leading infrastructure provider in Latin America.

Growth became systematic. Not accidental.