Falkon Verified Customer Reviews (2026)

SaaSify is an agentic Cloud GTM platform built to replace the three separate listing processes, offer workflows, and funding paperwork that AWS, Azure, and Google Cloud Marketplace usually demand. AI agents handle the repetitive work - drafting and filing listings in roughly 90 minutes, sending private offers straight from Salesforce or HubSpot, and locating and filing co-sell opportunities to partner portals as they appear. What sets SaaSify apart is pairing that automation with hyperscaler experts who stay involved long after go-live, managing FTR approvals, certification renewals, and quarterly program changes across all three clouds. Cloud funding requests move through the same automated system, so committed dollars get claimed instead of lapsing unused. Sales, usage, billing, and payouts for every cloud roll up into one dashboard. SaaSify supports 500+ ISVs, more than $5B in managed marketplace revenue, and a 4.9 out of 5 rating on G2.

D&B Hoovers helps sales, marketing, and revenue teams find better opportunities, engage buyers more effectively, and accelerate revenue growth. By combining trusted company and contact intelligence with buyer intent data, website engagement insights, business triggers, and AI-powered recommendations, D&B Hoovers helps organizations focus on the opportunities that matter most.   Teams use D&B Hoovers to discover new prospects, identify decision-makers, prioritize target accounts, and create more meaningful customer conversations. The platform provides a complete view of companies and buying signals, helping users understand who to engage, when to engage, and why an opportunity deserves attention.   Backed by the Dun & Bradstreet Data Cloud, D&B Hoovers delivers trusted business intelligence across millions of companies and contacts worldwide. Users can leverage advanced prospecting tools, account insights, market intelligence, and real-time business events to support more informed sales and marketing strategies.   By reducing manual research, improving account prioritization, and helping organizations act on buying signals faster, D&B Hoovers enables teams to increase productivity, improve pipeline quality, and drive more predictable revenue outcomes.

Backstory is an AI-powered revenue intelligence platform built to give sales organizations deeper visibility into deals, accounts, pipelines, forecasts, and customer engagement. It connects with existing CRM, email, calendar, meeting, and sales applications to collect account activity without requiring representatives to manually enter every interaction. Calls, meetings, stakeholders, and other engagement signals can be automatically associated with the relevant opportunities and accounts. The platform analyzes this information alongside historical sales patterns to evaluate deal health and estimate the likelihood that an opportunity will close. Revenue teams can use the resulting insights to identify risks, stalled deals, missing contacts, coverage gaps, bottlenecks, and potential expansion opportunities. Stakeholder mapping helps sellers understand the people involved in each buying process and determine whether important decision-makers or influencers are missing. Backstory also generates deal-specific recommendations that suggest possible next steps based on buyer activity and the context surrounding an opportunity. AI sales coaching capabilities can help representatives evaluate their approach and improve execution without relying solely on periodic manager reviews. Sales leaders and revenue operations teams can use forecasting and pipeline management features to compare opportunities, monitor changes, and improve visibility into expected revenue. The platform also supports renewal and retention use cases by applying account activity intelligence to existing customer relationships. Backstory is intended for organizations that want to combine automated sales data capture with AI analysis to improve pipeline management, forecasting, account strategy, opportunity qualification, and day-to-day selling decisions.