1,816 net-new contacts. Three target verticals. $4.66M in attributed pipeline.
For one independent hotel in a competitive urban market, the platform's enrichment engine surfaced verified meeting planner contacts across three verticals the hotel wanted to grow—contacts that had never been in their sales & catering system, never responded to an RFP, never attended a tradeshow booth.
Every contact was engaged through personalized campaigns sent from the hotel's own sellers. The result: $4.66M in total attributed pipeline, $435K in contracted revenue, and 119 booking opportunities from buyers the hotel had never met—18 bookings won, with the rest representing competitive losses and groups the hotel turned down because the dates weren't available.
771
771
Contacts
Medical & Pharmaceutical
Planners from organizations including major pharmaceutical manufacturers, medical device companies, health systems, and industry associations. Campaigns were tailored to reflect healthcare and pharmaceutical compliance requirements—including venue transparency, transfer-of-value considerations, and the specific sourcing standards that govern healthcare professional meetings. 59% open rate. $1.92M in attributed pipeline. $74K in contracted revenue.
857
857
Contacts
Financial & Insurance
Planners from financial services firms, insurance companies, and investment management organizations. 46% open rate. $1.91M in attributed pipeline. $297K in contracted revenue.
15+ data sources. Verified. Aligned to your buyer personas.
Parclane's proprietary enrichment engine combines AI-driven matching, deduplication, and validation across 15+ data providers—surfacing qualified prospects without the noise of unfiltered list buys.
Every contact is matched against your hotel's buyer personas by industry vertical, geographic market, event type, and meeting size.
These aren't purchased lists blasted to inboxes. Every contact is deduplicated against your existing data, validated, and engaged through the same personalized, hospitality-specific campaigns that drive your existing data performance.
Of the net-new contacts who entered the pipeline, the hotel won 32% of competitive situations—deals where the hotel was considered alongside other properties and the planner chose them.
18 bookings won. The rest: competitive losses and groups the hotel turned down because the dates weren't available. Real demand from serious buyers, either way.
That's the point. These aren't vanity metrics. Every booking—won, lost, or turned down—represents a buyer relationship that didn't exist before the platform activated it.