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Sales & CRM
Propensity Data
Propensity Data logo
Sales & CRM

Propensity Data

Propensity Data is an AI-powered B2B lead generation platform that helps sales and marketing teams identify and prioritize companies most likely to buy their products or services. The platform analyzes billions of data points from public sources including company websites, news articles, job postings, and social media to detect buying signals and intent indicators. Using machine learning algorithms, it scores companies based on their propensity to purchase specific solutions, allowing sales teams to focus their efforts on high-potential accounts. The tool is designed for B2B sales professionals, marketing teams, and business development representatives who need to improve their outbound targeting efficiency. It solves the problem of wasted outreach by providing data-driven insights about which companies are actively researching solutions in specific categories, enabling more personalized and timely engagement. The platform integrates with popular CRM systems and sales engagement tools to streamline workflow integration.

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πŸ“Š At a Glance

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Sales & CRM
Sales & CRM

Key Features

AI-Powered Propensity Scoring

Uses machine learning algorithms to analyze multiple data sources and assign numerical scores indicating a company's likelihood to purchase specific solutions.

Intent Signal Detection

Continuously monitors public data sources for indicators that companies are researching or evaluating solutions in specific categories.

CRM Integration

Seamlessly connects with popular CRM platforms to sync propensity data directly into existing sales workflows and account records.

Custom Target Account Lists

Allows users to build and save targeted account lists based on multiple criteria including propensity scores, firmographics, and intent signals.

Real-time Alerts

Sends notifications when significant changes occur in a company's propensity score or when new intent signals are detected.

Market Trend Analysis

Offers insights into broader market trends and industry movements that may impact buying behavior across target segments.

Pricing

Enterprise

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  • βœ“Full access to propensity scoring algorithms
  • βœ“Unlimited lead exports to connected CRMs
  • βœ“Advanced filtering and segmentation capabilities
  • βœ“API access for custom integrations
  • βœ“Priority customer support
  • βœ“Custom data source integration options

Use Cases

1

Enterprise Sales Team Account Prioritization

Enterprise sales teams use Propensity Data to identify which accounts in their territory have the highest likelihood of purchasing their solutions. By analyzing intent signals like technology evaluations, hiring for specific roles, and market expansion activities, sales representatives can prioritize outreach efforts toward companies actively in buying cycles. This results in higher conversion rates and more efficient use of sales resources compared to traditional territory management approaches.

2

Marketing Team Account-Based Marketing Campaigns

Marketing teams leverage propensity scores to create highly targeted account-based marketing campaigns. By understanding which companies show strong buying signals, marketers can develop personalized content and outreach strategies tailored to each account's specific interests and readiness stage. This approach increases campaign relevance and engagement rates while improving marketing-sales alignment through shared intelligence about account priorities.

3

Business Development Prospecting

Business development representatives use the platform to identify new market opportunities and expansion targets. By analyzing propensity scores across different industries and regions, they can discover companies that may not be on traditional radar but show strong indicators of solution need. This enables more strategic market entry decisions and helps build pipeline in untapped segments with higher potential for success.

4

Channel Partner Enablement

Companies with channel sales models provide Propensity Data access to their partners to improve joint selling effectiveness. Partners can identify which accounts in their local markets are most likely to benefit from specific solutions, enabling more targeted and productive sales conversations. This strengthens partner relationships and increases overall channel revenue by providing valuable intelligence that partners might not otherwise access.

5

Market Intelligence and Competitive Analysis

Strategic planning teams use the platform to monitor market trends and competitive movements. By analyzing propensity signals across industry segments, they can identify emerging opportunities, track competitor activity, and understand shifting buyer priorities. This intelligence informs product development, marketing strategy, and overall business planning with data-driven insights about market dynamics.

How to Use

  1. Step 1: Sign up for an account on the Propensity Data website and complete the onboarding process by providing basic company information and defining your target market segments.
  2. Step 2: Connect your CRM system (such as Salesforce or HubSpot) through available integrations or API connections to sync existing account data and enable automated updates.
  3. Step 3: Configure your ideal customer profile parameters including industry verticals, company size ranges, geographic regions, and specific technologies or solutions you're targeting.
  4. Step 4: Use the dashboard to view propensity scores for companies in your target market, with filters for specific intent signals like technology adoption, hiring trends, or funding events.
  5. Step 5: Export high-propensity leads directly to your CRM or sales engagement platform, or use the built-in tools to create targeted lists for outreach campaigns.
  6. Step 6: Set up automated alerts for significant changes in propensity scores or new intent signals from key accounts to enable timely follow-up.
  7. Step 7: Analyze performance metrics within the platform to refine targeting criteria and improve the accuracy of propensity scoring over time.
  8. Step 8: Integrate with marketing automation platforms to trigger personalized campaigns based on propensity scores and detected intent signals.

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At a Glance

Pricing Model
Paid
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