Just imagine that you have to make a bid for an HVAC and Sheet Metal job for a large well-known company with whom you have had no prior experience. So you resort to your tried and true methods of creating an estimate using pencil and paper. You are confident that past experience and knowledge will enable you to create an estimate that will make a profit. After all, you have been in business several years and your business is profitable. But how do you know that you are not leaving any money on the table, and that the costs for this new job are in line with those of previously bid jobs? Without a construction software solution that tracks previously bid jobs, both successful and unsuccessful, the answer is you don’t know.

I have seen many small companies in these situations not make as much money as they should because they didn’t really know the level of effort it took to be successful with a project of given size and type. They typically underestimated the number of labor hours necessary to maximize their profit.

How does software help avoid these issues? Imagine if you could track the costs (material and labor), hours, contract size, and profits for each of your past jobs by project type (e.g., apartment, office, hotel, etc.) and then automatically and instantly analyze this information by project type and contract size.

For example, you may find that your apartment-type projects with successful contracted bids ranging between $100,000 and $200,000 made a 7% profit.  You may also find that bids between $200,000 and $400,000 made a 13% profit. In contrast, you may find that office-based projects with bids between $200,000 and $400,000 made a profit of only 8%.

Suppose the analyses also showed that all apartment and office project bids between $200,000 and $400,000 were rejected when bid with built-in profit margins of 15%. Furthermore, suppose you were able to further analyze these results by project manager and customer type (e.g., mechanical and general contractors) to see who were your best performers and most profitable customers.

Knowing this kind of information would allow you to make more informed bids on new projects based on type and size, and turn down projects that are not in your sweet spot. Additionally, the analysis would tell you which projects left money on the table (e.g. for apartment projects you did not, whereas you did for office projects). Why waste time and effort on going after jobs that are not as profitable? I have seen two multi-million dollar businesses fail for these very reasons.

Special thanks to Larry Bookman (lbookman@tracall.com), President and Founder of TracALL Technologies for his assistance in writing this post.