In the consulting world, understanding a client’s ecosystem is everything. Whether you’re advising on growth strategy, market positioning, or partnership opportunities, your recommendations are only as good as the data behind them. That’s where PredictLeads’ Key Customers Dataset comes in – providing an unparalleled window into the companies your clients rely on and the ones relying on them.

What Is the Key Customers Dataset?

The Key Customers Dataset identifies which companies are customers of which. It surfaces business relationships – for example, which firms use HubSpot, AWS, or Snowflake – based on verified digital evidence such as logos, case studies, testimonials, job posts, or partner listings.

Each record helps you see:

  • Who buys from whom
  • The type and depth of the relationship
  • When the connection was first detected or last updated

This dataset connects millions of companies globally, revealing commercial dependencies that often go unnoticed in traditional research.

Logos of companies using PredictLeads data, including Dealroom, Clay, and FactSet.

Why It Matters for Consulting Firms

Consultants thrive on context. Understanding a client’s customer and partner landscape allows for sharper insights, faster audits, and more targeted recommendations. Here are some specific consulting use cases:

1. Market Mapping & Competitive Benchmarking

By analyzing the customers of your client and their competitors, you can identify:

  • Which verticals or regions your client underperforms in
  • The industries that competitors dominate
  • Emerging players gaining traction with shared customers

For instance, if your client competes with HubSpot, you could analyze thousands of its key customers to uncover underserved segments or new partnership opportunities.

2. M&A Target Screening

When evaluating acquisition targets, consultants can quickly assess:

  • Overlap or synergy between customer bases
  • Potential cross-sell opportunities
  • Concentration risk (e.g., 70% of revenue tied to one customer cluster)

This reduces manual research and brings data-driven precision to strategic decision-making.

3. Customer Retention & Expansion Planning

For growth-focused consulting, understanding a client’s current customers (and who else they buy from) enables tailored expansion strategies.
Example: If a SaaS client’s customers also use 3–4 competing platforms, that’s a signal to strengthen retention tactics or upsell integrations.

4. Partner & Ecosystem Strategy

Advisors helping clients build alliances or reseller programs can identify:

  • Which companies have overlapping customer ecosystems
  • Where indirect partnerships already exist through shared clients
  • Which verticals offer the strongest growth potential

Example: Turning Data into Strategy

Imagine a consulting firm advising a cybersecurity company. Using PredictLeads’ Key Customers Dataset, the consultant identifies that most of their top customers are also working with AWS and Snowflake … suggesting an opportunity to develop integrations or co-marketing campaigns within those ecosystems.

In another case, the dataset could reveal that a client’s competitor just signed multiple fintech customers in Southeast Asia, hinting at regional momentum worth investigating.


Why PredictLeads?

PredictLeads doesn’t just collect data but it maps business relationships across millions of verified signals.
The Key Customers Dataset integrates seamlessly with other PredictLeads datasets (e.g., Job Openings, Technologies, or News Events), allowing consultants to layer insights:

  • Who are a company’s biggest customers?
  • What technologies do they use?
  • Are they hiring for new markets or functions?

Together, these datasets paint a holistic picture of where your client stands – and where they can move next.


Final Thoughts

For consulting firms, the Key Customers Dataset transforms relationship intelligence into strategic foresight. Instead of relying on assumptions or fragmented public data, consultants can now map entire customer ecosystems, quantify competitive positions, and identify actionable growth paths – all with data that’s refreshed continuously.