Anything and everything you’re looking for to grow your business.
You ask it, we talk about it

A Gartner study shows that companies that base their strategies on structured Win-Loss analyses increase their conversion rates by 50%. This means that using a variety of well-leveraged data sources not only helps explain why a deal was won or lost, but also turns these insights into strategic actions that drive real commercial performance.

Setting the right price is a delicate exercise for B2B companies: price too high, and you lose opportunities; price too low, and you sacrifice your margins.

Buying habits are evolving, and sales processes are becoming increasingly automated. Yet, human interaction is emerging as a true differentiator. Chatbots, dynamic FAQs, automated emails… digital tools offer smooth and scalable experiences. However, 86% of customers are willing to pay more for a better customer experience — one that includes quality human interactions (Source: PwC).

A promising deal, smooth interactions, a compelling pitch… but at the last moment, the prospect disappears: "Sorry, we’ve chosen another solution." Why? Too expensive? Not innovative enough? A more responsive competitor?

17%. This is the average portion of the time in the buying journey a B2B buyer spends on interacting with suppliers. In other words, 83% of the buying process happens without contact with your sales team. And this ratio drops even lower when buyers are comparing multiple options (source: Gartner).

We’re thrilled to announce a game-changing partnership between Modjo and Diffly, combining the power of two best-in-class platforms to provide Revenue teams with a comprehensive, data-driven view of their entire sales cycle.

Win-loss analysis means receiving feedback at the end of an opportunity about why we win and why we lose it. Performing qualitative interviews with the buyer directly gives incredible data to organizations as to why they lost or won deals.

Asking only internal people about why they lose or win also comes with big biases. All of this gives you subjective answers as to why you win or lose. If you want to get concrete answers to increase your conversion & retention rate, you have to systematically integrate your real buyer in the loop. This practice comes with a win-loss analysis program.

Launching win-loss analysis is not easy and we often observe 6 common mistakes. In this article, we explore these mistakes and how to avoid them to get the most out of your win-loss analysis programs.