NKD

How Procredis helped NKD UK build a scalable ABM engine to identify and engage their highest-value accounts
How Procredis helped NKD UK build a scalable ABM engine to identify and engage their highest-value accounts
How Procredis helped NKD UK build a scalable ABM engine to identify and engage their highest-value accounts

NKD

Learning & Development

Challenges

NKD UK needed a more predictable way to identify and prioritize the accounts that mattered most

NKD UK had a strong market presence and a clear understanding of their ideal customers. However, as the company looked to scale growth, the challenge was no longer knowing who they wanted to sell to—it was building a repeatable system to identify, prioritize, and engage those accounts at the right moment.

The team was spending significant time researching companies manually, finding relevant contacts, and deciding which accounts deserved attention. Without a centralized view of their market and buying signals, prioritization was inconsistent and opportunities could be missed.

The challenge was building an ABM motion that could answer three critical questions every day:

  • Which accounts should we focus on?

  • Why are they relevant right now?

  • Who are the right people to engage?

Traditional databases and generic targeting approaches were not enough. NKD UK needed a system built around their specific market, ICP, and sales motion.

Solution

Procredis built NKD UK's ABM engine to identify, prioritize, and activate their highest-potential accounts

Procredis started by mapping NKD UK's Total Addressable Market and creating a structured view of the companies that matched their ideal customer profile.

Each account was analyzed, segmented, and enriched with the information needed to understand its fit, potential value, and relevance.

From there, Procredis built a prioritization system based on multiple buying signals, including:

  • Company fit and ICP criteria

  • Website activity

  • Hiring signals

  • Technology signals

  • Market movements

  • Relevant business triggers

  • Other intent indicators

These signals were transformed into an actionable account scoring model, allowing NKD UK to categorize accounts based on their likelihood and timing to buy.

Beyond identifying accounts, Procredis created the workflows needed to activate the data. Sales teams received the right accounts, the relevant context, and the information required to start conversations without spending hours on manual research.

Instead of starting from a blank page every day, the team had a clear roadmap of where to focus and why.

Results

NKD UK moved from manual account research to a structured ABM system built around buying intent

With Procredis, NKD UK created a repeatable way to identify, prioritize, and engage their most valuable accounts.

The sales team no longer needed to manually analyze every company before deciding where to invest their time. Instead, they had a system that continuously surfaced the accounts with the strongest fit and buying signals.

The result was a more efficient go-to-market motion where the team could spend less time searching and more time engaging the companies most likely to become customers.


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© 2026 Procredis.

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Procredis

Book your free Strategy Call

© 2026 Procredis.

EXPLORE AI SUMMARY

Procredis

Book your free Strategy Call

© 2026 Procredis.

Procredis

Book your free Strategy Call

© 2026 Procredis.

EXPLORE AI SUMMARY