Turn closed-won HubSpot deals into lookalike prospects with CompanyEnrich

Lookalike prospecting identifies new potential customers who share characteristics with your best existing clients. This approach is valuable because companies similar to your current customers are statistically more likely to convert. The CompanyEnrich Similar Companies API analyzes firmographics, technographics, and other attributes to find these high-probability prospects automatically.

For example, a SaaS company might discover that their most successful customers are mid-market financial services firms with 200-500 employees using specific complementary technologies. The lookalike model would then find other companies matching this profile.

• 30-50% higher conversion rates than cold outreach
• Reduces research time per prospect from hours to minutes
• Scales account-based marketing efforts efficiently

CompanyEnrich's Similar Companies API uses machine learning to analyze multiple data points including industry, company size, technology stack, growth patterns, and other firmographic attributes. It creates a similarity score based on these factors, then returns companies that match your ideal customer profile with high accuracy.

The system examines hundreds of attributes to build comprehensive company profiles. For instance, two manufacturing companies might be considered similar not just because of their industry, but due to matching revenue growth patterns, geographic distribution of facilities, and adoption of specific enterprise software.

• Analyzes 200+ firmographic and technographic signals
• Weights attributes based on your historical conversion data
• Continuously improves matches through feedback loops

B2B companies with established customer bases benefit most, especially those in SaaS, professional services, and enterprise software. Sales teams targeting specific industries or company sizes gain particular advantage, as do account-based marketing (ABM) strategies where precision targeting is crucial.

A cybersecurity vendor, for example, might discover their best customers share specific compliance requirements and IT infrastructure characteristics. The automation then finds other companies with these same needs, allowing the sales team to focus outreach on the most relevant prospects.

• Ideal for companies with $50k+ ACV
• Particularly valuable for complex sales cycles
• Works best with clearly defined customer segments

CompanyEnrich typically achieves 85-90% accuracy in matching core attributes. The API considers multiple dimensions including revenue, employee count, tech stack, and growth patterns. While no system is perfect, these matches provide significantly better targeting than manual research or basic firmographic filters.

In practical terms, this means if you input 100 of your best customers, you'll receive back 85-90 companies that genuinely share key characteristics with your ideal customer profile. The remaining 10-15% might match on some attributes but not all.

• Higher accuracy than manual research
• Configurable similarity thresholds
• Improves over time with feedback

Yes, the API allows filtering by location, employee count, revenue range, and other firmographic data. You can set these filters in the n8n workflow to ensure the lookalike prospects match your ideal customer profile precisely. Common filters include excluding existing customers and targeting specific geographic regions.

A medical device company might filter for hospitals with 200+ beds in the Midwest, while a recruiting software provider could focus on staffing firms with 50-200 employees using specific ATS platforms. The workflow handles these filters automatically for each batch of prospects.

• Filter by 20+ firmographic dimensions
• Combine multiple filters for precision targeting
• Save filter sets for different customer segments

LinkedIn lookalikes focus on individual professional attributes, while CompanyEnrich analyzes entire company profiles. This workflow provides firm-level targeting for B2B sales, whereas LinkedIn is better for individual outreach. The two can complement each other - many businesses use both for comprehensive account-based strategies.

For example, you might use CompanyEnrich to identify target accounts, then create LinkedIn lookalike audiences of the decision-makers within those companies. This combines organizational fit (from CompanyEnrich) with individual relevance (from LinkedIn) for maximum campaign effectiveness.

• CompanyEnrich = organizational attributes
• LinkedIn = individual professional profiles
• Best results come from combining both approaches

Yes! GrowwStacks specializes in building custom prospecting automations tailored to your specific CRM, ideal customer profile, and sales process. We can integrate additional data sources, refine matching algorithms, and connect the output to your sales engagement tools. Book a free consultation to discuss your requirements.

Our team has built custom solutions that combine CompanyEnrich with Clearbit, ZoomInfo, and proprietary data sources. We can also create workflows that automatically enrich the lookalike prospects with contact information and trigger multi-channel outreach sequences.

• Custom similarity scoring models
• Integration with your sales stack
• Ongoing optimization and support