The Most Expensive Thing an Early-Stage Software Company Can Waste

The Cost of Knowing Too Late

For an early-stage software company, few things matter more than where it spends its time. Every minute spent on an opportunity that isn't going anywhere is a minute that cannot be spent on one that could.

The problem is that bad opportunities rarely look bad. A prospect can have a legitimate problem, like the product, attend meetings, request demos, and express interest. Yet none of that necessarily means the prospect can actually buy.

The biggest theft of selling time is failing to determine whether a prospect has the will and ability to create the internal alignment necessary to complete a purchase—and then helping them create it. Enterprise software purchases require multiple people with different priorities, budgets, and perceptions of risk to align around a decision. Without that alignment, activity can continue for months without meaningful progress.

This makes objectivity critical. It could happen, they seem interested, and we're still talking are not evidence. The question is whether observable buyer behavior demonstrates that a transaction is actually taking shape. It's either happening or it's not happening, and there should be objective reasons why.

The dollars add up quickly. Assume a sales rep works 100 SQLs per year, 75 of which ultimately don't close. If 10 hours of the time invested in each unsuccessful SQL is ultimately avoidable, that's 750 hours spent unnecessarily on deals that produce no revenue.

If Compass helps reduce that wasted effort from 10 hours to three, the rep recovers 525 hours per year. At a fully loaded cost of $100 per hour, that's $52,500 of productive capacity recovered per sales rep, per year.

But that's only the lower limit of the business case.

ChatGPT Image Aug 23, 2026, 10_35_33 AMAssume pursuing an SQL requires approximately 50 hours of total selling effort. Those 525 recovered hours create capacity to pursue approximately 10 additional SQLs. At a 25% close rate and an average deal size of $50,000, that's approximately $125,000 of additional revenue capacity per sales rep.

So the value of knowing earlier can be thought of as a range. $52,500 is the lower limit—the value of the capacity recovered. $125,000 is the upper limit—the potential revenue impact of putting that capacity back to work.

The point isn't that every recovered hour automatically becomes revenue; it is that time spent on an opportunity that cannot buy has an opportunity cost far greater than the salesperson's hourly expense. That same hour could have been invested in a prospect that can.

This is one of the core purposes of Compass. Compass helps the prospect develop the internal alignment required to buy while giving the seller objective evidence to recognize much earlier when that alignment isn't going to happen.

The Solutions Map
Starting Point for Internal Alignment


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The objective isn't simply to identify deals that will be lost. It is to create alignment where it can be created—and recognize much earlier where it cannot. Reduce ten hours to three. Recover capacity. Create alignment. Put the time back to work.

For an early-stage software company, there may be no more important resource-allocation decision than deciding which deals deserve its time. Visit MOIC to discover how Compass reveals which deals are worth yours.

Dave Levitt

Dave Levitt brings a wealth of experience with more than 40 years in the enterprise software space. Having served as Sr. Vice President, Worldwide Sales, at LiquidFrameworks, Dave played a crucial role in scaling their "quote to cash" platform, leading to its acquisition first by Luminate and then by ServiceMax. His strategic prowess was further proven as he created and spearheaded the Energy Business Unit at Salesforce, growing it from inception to $100 million in total contract value. His extensive background also includes sales roles at SAP, Siebel Systems, Oracle | Datalogix, and as a board member for several tech innovators.