Integrate and continuously enrich lead, customer, and revenue data across Salesforce, Snowflake, HubSpot, and other core platforms to create a single source of truth for the entire customer lifecycle. This workflow uses real-time signals and automated enrichment to maintain data consistency from lead, through opportunity, to post-sale handoffs—critical given FLYR’s cross-departmental data needs and global scope.

Automate go-to-market (GTM) workflows by connecting product usage data, CRM stages, and subscription events with AI-driven triggers that adapt pipeline forecasting in real time. This system enables FLYR’s RevOps and Finance teams to balance subscription model scale with forecasting accuracy, reducing manual trade-offs and empowering proactive revenue management.

Improves forecasting accuracy by 15–25% (industry norm with automation), slashes manual forecasting prep time by 50%, and provides earlier visibility into pipeline risk or expansion. This directly addresses scaling/forecasting pain and supports executive decision-making for high-stakes airline/hospitality accounts.

Deploy AI-driven automation to research, enrich, and score new target accounts and contacts in FLYR’s ICP—across global airlines and hospitality—filling Salesforce and HubSpot with actionable, up-to-date profiles. Custom triggers can prioritize based on buying signals and global expansion goals, freeing SDRs/AEs from manual research.

Cuts contact research time by up to 75%, enabling SDRs/AEs to focus on outreach and relationship-building. For a team managing complex B2B cycles and enterprise accounts, this can translate to 2–3x more qualified meetings per month and accelerate pipeline growth in new and existing markets.