B2B SaaS research, participant recruitment, Win/Loss interviews, willingness-to-pay studies, ICP validation, qualitative research challenges, SaaS pricing research
2024 B2B Sales Benchmark Report: Why Top Performers Win Deals and Average Reps Lose in the U.S., U.K., and Global Markets
The 2024 B2B Sales Benchmark Report reveals why top performers consistently win deals while average reps struggle. Analyzing $54B in revenue and 4.2M opportunities, this article explores how pipeline generation, qualification, objections, relationships, and deal management drive success—or failure—in U.S., U.K., and global markets.
Why I Don’t Help Pre-Seed or Seed Stage SaaS Firms Raise Venture Capital
Many consultants promise to help pre-seed and seed-stage SaaS startups raise capital—but without a Series 7 license, those services can expose founders to serious legal and financial risks. In this article, I explain why I avoid fundraising engagements, the SEC’s crackdown on unlicensed brokers, and what it really costs to work with a licensed broker-dealer.
How Local Businesses Can Adapt to Economic Shifts for the Betterment of Their Communities
Economic shifts can arrive without warning, pressing down on small businesses with both subtle tremors and sudden jolts. Local entrepreneurs often feel the squeeze first, balancing cash flow while watching […]
Why Enterprise SaaS Companies Win or Lose Deals: A Deep Dive into 2024–2025 Win/Loss Statistics
Enterprise SaaS win/loss statistics from 2024–2025 reveal that average win rates sit at 19%, but deals with prior champions close at nearly 50%. This blog explores the key drivers of SaaS wins and losses, including brand awareness, buyer indecision, deal sizes, pricing models, and the rising importance of trust and relationships.
How 95% of Generative AI Projects Are Failing — A Global Reality Check
A new MIT study reveals that 95% of generative AI projects fail to deliver measurable results. Despite billions invested and immense hype, most pilots collapse due to flawed integration, misaligned priorities, and lack of organizational readiness. Only 5% succeed, often by focusing on targeted use cases, leveraging specialized vendor partnerships, and aligning AI with practical workflows. The findings have rattled markets, raising fears of an AI bubble similar to the dot-com crash. Yet, lessons emerge for businesses worldwide: start with purpose-driven pilots, invest in ROI-rich areas like back-office automation, and scale responsibly. This article explores the MIT study, examines investor jitters, uncovers broader risks like algorithmic bias and job displacement, and offers a roadmap for sustainable AI adoption. For global businesses, the message is clear: avoid the hype cycle and focus on strategy, not speculation.
Enterprise SaaS: A Comparative Analysis of AI in Software Sales
AI is transforming enterprise software sales by automating repetitive tasks, enabling real-time insights, and powering new business models. Case studies from IBM, Salesforce & Accenture, Outreach.io, and Allpay reveal how AI drives billions in productivity gains, accelerates deal cycles, and personalizes customer engagement. Learn the strategies SaaS leaders use to harness AI for sales enablement, efficiency, and growth.
Why Deals Are Lost at Each Sales Stage — A Guide for Pre-Seed & Seed Stage SaaS CEOs
Winning enterprise software deals is a high-stakes challenge for pre-seed and seed-stage SaaS CEOs. This guide breaks down why deals are lost at each stage of the sales cycle — from discovery to contract — and shows how win/loss analysis can turn lost opportunities into repeatable wins.
Win/Loss Rates for Enterprise SaaS: The 2025 Reality Check
In the high-stakes world of enterprise SaaS, founders obsess over pipeline: number of demos booked, proof-of-concepts launched, and proposals sent. But there’s one metric that quietly determines whether your forecasts, […]