MODELYZR

Data-Driven Sales:
How B2B Sales Teams Identify Revenue Opportunities Using Data

MODELYZR combines internal company data with external market data and identifies which markets, segments, and accounts are truly a priority before sales and marketing take action.

Discover Data-Driven Sales with MODELYZR

For B2B companies with complex markets, large account structures, and growth-oriented go-to-market teams.

What does “data-driven sales” mean?

Data-Driven Sales describes a sales approach in which decisions are not primarily based on gut feelings, experience, or incomplete CRM data, but rather on reliable internal and external data. The goal is to evaluate markets, segments, customers, and target accounts to identify where the greatest realistic revenue potential lies.

In B2B, data-driven sales primarily means that sales teams use data to identify which accounts are a priority, where there is potential in untapped markets, which customers are relevant for cross-selling and upselling, and where sales resources will have the greatest impact.

Data-Driven Sales helps B2B companies determine where the sales team should invest, which accounts should be prioritized, and what revenue potential remains untapped.

Why Traditional CRM Isn’t Enough for Data-Driven Sales

Many companies initially associate data-driven sales with CRM data. However, a CRM system typically shows only a limited view of the market: existing customers, current opportunities, historical sales, and leads that have already been recorded.

That’s not enough for true sales management. After all, the most important growth issues often lie outside the scope of CRM:

  • Which companies match our Ideal Customer Profile but aren’t yet in the CRM?
  • Which existing customers have untapped cross-selling or upselling potential?
  • Which regions, segments, or industries offer the greatest market potential?
  • Which accounts should Sales, Marketing, and Business Development focus on first?
  • Where do teams waste resources on accounts with low potential?

This is exactly where MODELYZR comes in: The platform expands the CRM perspective with a data-driven market model. As a result, B2B companies can see not only what’s already in the system, but also the actual potential that exists in the market.

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What MODELYZR Means by “Data-Driven Sales”

For MODELYZR, data-driven sales isn’t just about analyzing sales data more effectively. It means gaining visibility into the entire addressable market and using that insight to set concrete priorities for sales, marketing, and business development.

MODELYZR combines internal data from CRM and ERP systems with external market data. This results in an AI-powered market model that shows:

  • which accounts have the highest revenue potential
  • which companies are not yet using CRM
  • where there is potential for white space
  • Which buying centers are relevant?
  • which First or Next Best Offers can be derived
  • Where sales teams should focus their resources first

MODELYZR enables companies to leverage data-driven sales strategically: from market transparency to account prioritization to concrete sales activation.

Data-Driven Sales with MODELYZR: From a CRM Perspective to a Market Model

Traditional CRM-Based Sales

Data-Driven Sales with MODELYZR

Focus on existing customers and leads

Overview of the Entire Addressable Market

Decisions are based on historical data

Decisions are based on market, customer, and potential data

Sales processes existing account lists

Sales prioritizes accounts based on realistic revenue potential

Forecast shows existing opportunities

Market model reveals additional growth opportunities

Marketing targets broad audiences

Marketing targets prioritized segments and accounts

Resources are often distributed evenly

Resources are allocated based on potential and strategic fit

What data does a data-driven sales organization need?

True added value does not come from individual data sources, but from combining them. Internal data reveals what a company already knows. External data reveals additional opportunities in the market. MODELYZR combines both perspectives to create a robust decision-making model for sales:

Internal Company Data

  • CRM Data ERP Data
  • Sales History
  • Product and Service Information
  • Existing Customer Structures, Opportunity and Pipeline Data
  • regional or segment-specific sales data
  • all other relevant internal sources (if any)

External Market Data

  • Company Information
  • Industry Information
  • Locations
  • Firmographics
  • Market Sizes
  • Target Audience Characteristics
  • Potential indicators: publicly available signals and data sources

How does data-driven sales work with MODELYZR?

1. Build a market model

MODELYZR creates a data-driven model of the relevant market. This makes it clear which companies, segments, and regions can generally be targeted.

2. Connecting Internal and External Data

CRM and ERP data are enriched with external market data. This provides a more complete picture of customers, target accounts, and market potential.

3. Evaluate accounts based on their potential

Accounts are evaluated not only based on size, industry, or current revenue, but also on their realistic future potential.

4. Identifying White Space and the Buying Center

MODELYZR identifies untapped potential—both within existing customer relationships and outside the CRM.

5. Determine the First and Next Best Offers

Sales teams can identify which offer is particularly relevant for each account.

6. Focus on Sales, Marketing, and Business Development

The results can be used for account prioritization, campaign planning, territory planning, and strategic go-to-market decisions.

Typical Use Cases for Data-Driven Sales in B2B

  • Account Prioritization: Which accounts have the greatest potential and should be addressed first?
  • White-Space Analysis: Where is there untapped revenue potential among existing customers or in new market segments?
  • Territory Planning: How can sales territories be divided more fairly and in a way that better reflects their potential?
  • Cross-selling and Up-selling: Which existing customers are a good fit for additional products, services, or solutions?
  • New Customer Identification: Which companies match the Ideal Customer Profile but aren’t yet in the CRM?
  • Campaign Focus: Which target audiences and accounts should marketing campaigns prioritize?
  • Strategic Market Decision: Which markets, regions, or segments offer the greatest growth potential?

Who can benefit from data-driven sales with MODELYZR?

Data-Driven Sales with MODELYZR is particularly relevant for B2B companies with complex sales structures, multiple markets, large account bases, and products or services that require explanation.

  • Sales Manager This allows them to identify which accounts and regions have the greatest revenue potential and to manage their teams more effectively.
  • Marketing teams can target their campaigns at segments and accounts where the likelihood of generating a genuine pipeline is highest.
  • Business Development identifies new markets, target audiences, and white-space opportunities before investing expensive resources and launching long-term market research projects
  • Strategy and go-to-market leaders no longer make strategic decisions based solely on historical CRM data, but rather on a comprehensive view of the market.

What are the benefits of data-driven sales with MODELYZR?

Greater Market Transparency

MODELYZR shows not only well-known customers, but the entire relevant market.

Better Account Prioritization

Sales teams focus on accounts with real revenue potential.

Less wastage

Marketing and sales activities are targeted at the right segments and companies.

Faster Decisions

Teams don’t have to spend months researching; instead, they can prioritize based on data.

Improved Resource Management

Sales territories, campaigns, and teams are planned based on potential—not just on current performance or past results.

Strategic Go-to-Market Focus

MODELYZR shows where growth is realistic and which markets should be targeted first.

Data-Driven Sales Is More Than Just Sales Intelligence

Sales intelligence often provides information about individual companies, contacts, or buying signals. While this is helpful, it is often not enough for strategic sales management.

Data-Driven Sales with MODELYZR continues: The platform models your market to serve as a basis for decision-making. This enables companies not only to identify who might be of interest, but also to pinpoint where the greatest realistic revenue potential lies and how sales, marketing, and business development should be aligned accordingly.

Sales Intelligence

  • Provides company or contact information
  • Supports Research
  • Displays individual signals
  • Helps with lead lists

Data-Driven Sales with MODELYZR

  • Provides market, account, and potential models
  • Supports strategic prioritization
  • Assesses Overall Potential
  • Helps with go-to-market decisions

Using MODELYZR to Leverage Data-Driven Sales Strategically

MODELYZR helps B2B companies view data-driven sales not just as a reporting approach, but as the foundation for better market, account, and go-to-market decisions.

The platform shows where revenue potential truly lies, which accounts should be prioritized, and how sales, marketing, and business development can focus their efforts on the best opportunities.

Learn how MODELYZR can enable data-driven sales in your company. Schedule an appointment with our team today.

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Frequently Asked Questions About Data-Driven Sales

Data-Driven Sales is a data-driven sales approach that uses internal and external data to systematically evaluate markets, accounts, and revenue potential and to prioritize sales activities.

CRM data typically shows only known customers, leads, and opportunities. To achieve true market transparency, external market data is also needed to identify unknown target accounts, white space, and new revenue opportunities.

MODELYZR combines internal company data with external market data to create an AI-powered market model. This enables companies to identify which accounts, segments, and markets have the greatest potential.

This approach is particularly relevant for B2B companies operating in complex markets, across multiple regions, with large account structures, and that need to manage sales, marketing, and business development in a more targeted manner.

Sales intelligence often provides data and insights about individual companies or contacts. Data-driven sales uses data to systematically guide sales strategy, account prioritization, market decisions, and resource planning.

AI helps connect large volumes of internal and external data, identify patterns, and prioritize accounts, markets, or offerings based on their potential. However, it is not AI alone that is crucial, but rather the underlying market model.

“White space” refers to untapped revenue potential, such as with existing customers, in new segments, or among companies not yet included in the CRM.