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AI70 employeesClient Pipeline

How an AI analytics platform booked 19 meetings with Heads of Data at financial institutions across 3 continents.

This 70-person company builds AI-powered analytics for banks and asset managers. Their product was gaining traction in the UK, but the sales team had no pipeline in Continental Europe or Asia-Pacific. Chief Data Officers at financial institutions are a relatively new title with no established outreach playbook. Conference travel across 3 continents required $50K+ in annual budget and produced an average of 4 meetings per event. They needed a scalable way to reach CDOs globally without the conference dependency.

MEETINGS BOOKED

19

With Heads of Data and CDOs at banks and asset managers globally

GEOGRAPHIES

3 continents

UK, EU, and APAC reached in a single campaign

ICP MATCH RATE

91%

Meetings matched exact title, institution type, and AUM bracket

What this company was facing

The Challenge

CDOs at financial institutions are a new persona with inconsistent titles across organizations (Head of Data, Chief Analytics Officer, VP Data Engineering, Head of Data Science). There is no established playbook for reaching them at scale. Conference attendance across 3 regions consumed $50K+ in annual travel budget and produced 4 meetings per event on average. Cold email to financial institutions gets filtered by enterprise security systems.

Before vs. After

Before

UK-only pipeline with no global reach

$50K+ annual conference budget across 3 regions

4 meetings per conference on average

No systematic way to identify CDO-equivalent titles

After

19 meetings across UK, EU, and APAC

91% ICP match rate across all geographies

7 meetings advanced to product demo stage

Conference budget reallocated

How Fluum Ran It

WEEKS 1-3

Global data leadership mapping

Identified CDO-equivalent titles across banking structures in the UK (Head of Data), EU (Chief Data Officer, Leiter Datenmanagement), and APAC (VP Data and Analytics). Cross-referenced with Fluum’s opted-in network and financial institution directories. Built signal agents tracking data infrastructure hiring, analytics platform procurement, and regulatory data reporting mandates across all 3 regions.

WEEKS 4-8

Region-specific activation

Each outreach message referenced the prospect’s specific data challenges: regulatory reporting automation in EU (BCBS 239, DORA), real-time analytics adoption in APAC, and cost optimization in UK. Messages tailored to the institution type (retail bank vs asset manager vs private bank). Every message strategist-reviewed for regional financial services terminology.

WEEKS 9-12

Global pipeline stabilization

Meeting cadence stabilized at 2+ per week across all 3 regions. Strongest response rates came from APAC asset managers and DACH regional banks. 7 meetings advanced to product demo. Signal agents identified a third wave of prospects triggered by incoming DORA data governance requirements in EU financial institutions.

“We were spending $50K a year flying to conferences on 3 continents to get 12 meetings total. Fluum delivered 19 meetings from a single campaign, all with the right person at the right institution. The geographic reach alone made it worth it.”

Head of Sales, AI analytics platform, 70 employees

Key Takeaway

Reaching CDOs at financial institutions across multiple geographies requires local market knowledge of title variations, regulatory environments, and institution types. Cold outreach and conference attendance are not scalable across 3 continents. Fluum’s approach mapped CDO-equivalent titles globally, timed outreach to regional regulatory cycles, and delivered 19 meetings across UK, EU, and APAC in a single 12-week campaign.

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Fluum | AI Analytics Platform Books 19 Meetings Across 3 Continents | Fluum