Frequently Asked Questions

Yes! Data Surfer finds and qualifies leads by reading between the lines. Simply search like 'coffee shops Portland' and get 800+ prospects instantly. But here's the difference - Data Surfer builds context maps of each business, understanding what their content really means. It spots patterns like companies emphasizing quality, leadership discussing growth, or subtle hiring changes that indicate buying readiness. Unlike basic scrapers that just collect data points, Data Surfer understands business context.

Data Surfer reads between the lines and builds context maps rather than just scanning pages. When a company mentions 'expansion,' Data Surfer determines if that means growth mode or PR spin by analyzing hiring patterns, leadership changes, and business signals. It connects dots like 'new VP from competitor' + 'hiring sales roles' + 'launched enterprise features' to recognize companies shifting upmarket. This pattern recognition turns website content into actionable sales intelligence.

Data Surfer finds three types of intelligence: Company Data - Both obvious facts and hidden buying signals. It collects custom data with different field types (quality scores, yes/no qualifications, text content, numbers). For example, it might calculate 'Quality Match: 95%' based on keyword frequency, determine 'Specialty coffee: Yes' by analyzing menu items, or extract employee counts. Beyond basics, it spots subtle signals: companies emphasizing quality in new content, leadership mentioning growth initiatives, website updates showing new capabilities. Key Contacts - Data Surfer identifies decision makers, champions, and influencers at each company with role classifications, helping you understand who to approach and in what order. Contact Information - Verified email addresses, LinkedIn profiles, and direct phone numbers for the contacts you need to reach. Data Surfer connects all these signals into patterns - like 'new executive from growth company + revenue role hiring + efficiency mentions = expansion mode' - giving you both the intelligence and the contacts to act on it.

Data Surfer intelligently navigates company websites to build context maps, not just scan pages. It follows relevant paths through main pages, press releases, blog content, team pages, and subdomains - understanding how different pieces of content connect to tell the business story. Rather than mechanically crawling every page, Data Surfer prioritizes sections that reveal business direction, growth signals, and buying intent while staying focused on official company content.

AI automation platforms use generic LinkedIn triggers everyone sees - 'Congrats on the new role!' These templated messages land in spam because hundreds of reps send identical messages. Data Surfer is plug-and-play with no prompt engineering or complex workflows needed. More importantly, Data Surfer searches thousands of sources simultaneously and reads between the lines - building context maps from website content to find unique signals only you see. It gets smarter over time, learning what makes a good prospect for YOUR specific business while automation platforms return the same basic data points for everyone. Plus, Data Surfer identifies key contacts (decision makers, champions, influencers) and provides verified contact data (emails, LinkedIn, phone) - giving you both the intelligence and the contacts to act on it.

Monitoring is completely optional - many customers just use Data Surfer to build targeted prospect lists with enrichment and contact data, then reach out immediately. If you enable monitoring, Data Surfer continuously watches qualified prospects for changes. You get instant alerts when companies show buying signals: leadership mentioning growth initiatives, website updates indicating new capabilities, hiring patterns that suggest expansion, content changes showing business evolution. For example, you'll know immediately when a prospect starts emphasizing quality in their messaging or mentions efficiency challenges. This perfect timing means you reach out when prospects are actually ready to buy, not when everyone else does. You can start with lists and add monitoring later if you want.