ProspectSonar Filter Masterclass: The 12 Filters and Exactly When to Use Each One

Master the art of filtering with ProspectSonar's 12 expert-approved filters. Learn when to apply each one and unlock high-quality prospects for your outbound sales.

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What Are ProspectSonar Filters and Why Do You Need Them?

Filters in ProspectSonar are powerful tools that enable you to narrow down your prospect list based on specific criteria, ensuring you're targeting the right companies with the right decision-makers. By using filters strategically, you can save time and increase the effectiveness of your outbound sales efforts. This masterclass will guide you through each major filter in ProspectSonar, provide practical use cases, and demonstrate how to unlock high-quality prospects for your business.

1. Niche Filter

The niche filter allows you to identify companies operating within a specific industry or sub-industry. This filter is ideal for startups, agencies, or sales teams with a limited product or service offering. For instance, a startup with a product for e-commerce businesses might use the niche filter to identify e-commerce companies.

Example Usage: Apply the niche filter to find e-commerce companies in the United States.

2. Location Filter

The location filter enables you to geographically target companies based on city, state, or country. This filter is perfect for local businesses, agencies catering to specific regions, or sales teams focused on expanding into new markets. For example, a sales team aiming to increase its presence in the western United States would use the location filter.

Example Usage: Use the location filter to identify companies in San Francisco or New York.

3. Decision Maker Filter

The decision maker filter allows you to specifically target high-level executives, such as CEOs or Directors, who hold the power to make purchasing decisions. This filter is ideal for businesses with high-priced products or services. For instance, a software company targeting CIOs would use the decision maker filter.

Example Usage: Apply the decision maker filter to find CEOs of top companies in the SaaS industry.

4. Issues Detected Filter

The issues detected filter highlights companies facing problems with their products, services, or financials. This filter is perfect for startups or sales teams looking to offer solutions to companies struggling with existing issues. For example, a sales team specializing in cloud-based data backup services might use the issues detected filter to identify companies experiencing data loss or storage issues.

Example Usage: Use the issues detected filter to find companies with poor financial health or negative customer reviews.

5. Business Opportunity Filter

The business opportunity filter indicates companies actively working on new projects or initiatives, potentially requiring new products or services. This filter is ideal for sales teams offering innovative solutions that can help companies meet their goals. For instance, a sales team developing a platform specifically for supply chain management would use the business opportunity filter.

Example Usage: Apply the business opportunity filter to identify companies implementing new software solutions.

6. Business Valuation Signal Filter

The business valuation signal filter highlights companies with a high potential acquisition value, often due to their industry, growth rate, or other financials. This filter is perfect for sales teams looking to target high-value deals or acquisitions. For example, a sales team specializing in mergers and acquisitions would use the business valuation signal filter.

Example Usage: Use the business valuation signal filter to find companies worth $1 billion or more.

7. Staff Size Signal Filter

The staff size signal filter indicates companies with a specific number of employees, often indicating their operational scale or growth potential. This filter is ideal for sales teams targeting businesses with the right size for their product or service. For instance, a sales team serving small businesses might use the staff size signal filter.

Example Usage: Apply the staff size signal filter to find companies with 10-50 employees.

8. Google Rating Filter

The Google rating filter highlights companies with a specific online reputation score based on their Google reviews. This filter is perfect for sales teams offering services or products where reputation is crucial, such as hospitality or food services. For example, a sales team specializing in customer experience would use the Google rating filter.

Example Usage: Use the Google rating filter to find companies with 4.5-star or higher Google reviews.

9. Social Presence Filter

The social presence filter indicates companies with an active presence on social media platforms. This filter is ideal for sales teams targeting businesses looking to leverage social media for marketing or growth purposes. For instance, a sales team specializing in social media management would use the social presence filter.

Example Usage: Apply the social presence filter to find companies with an active Twitter presence.

10. Asset Detection Filter

The asset detection filter highlights companies with significant investments in assets such as property, equipment, or inventory. This filter is perfect for sales teams targeting businesses with the right scale for their product or service. For example, a sales team serving construction companies might use the asset detection filter.

Example Usage: Use the asset detection filter to find companies with significant investments in office equipment.

11. Credit Signal Filter

The credit signal filter indicates companies with a certain credit score, often reflecting their financial health and creditworthiness. This filter is ideal for sales teams targeting businesses with the right financial stability for their product or service. For instance, a sales team serving small businesses might use the credit signal filter.

Example Usage: Apply the credit signal filter to find companies with a 700 credit score or higher.

12. Revenue Signal Filter

The revenue signal filter highlights companies with a specific annual revenue range, often indicating their operational scale or growth potential. This filter is perfect for sales teams targeting businesses with the right size for their product or service. For example, a sales team serving mid-sized businesses might use the revenue signal filter.

Example Usage: Use the revenue signal filter to find companies with $10-50 million in annual revenue.