Property Flipping Success Gets Decided by the Deals You Reject, Not the One You Buy

Property Flipping Investors Analyze Dozens of Deals to Find One Worth Buying

Imagine a normal Saturday for the energetic flipper. Five listings might seem like a reasonable number to count from. Each listing is created as a separate spreadsheet, just a little renamed and repopulated. By the time a fourth property has been tabulated, the reader is a little weary and the fifth property gets a rushed partial count.

This tiredness is not a personal failure. It's a consequence of working with a tool that sees every deal as a one-time audition instead of one of many in a growing queue. Few have the bandwidth to run five spreadsheets side by side and compare apples-to-apples. Typically, the deal that gets the most focus isn't the strongest deal; it's the first deal that was evaluated when brains were most fresh.

One deal that is flawlessly analyzed is of little value if the remaining four candidates are not given a proper evaluation due to the tool making comparison too painful.

Property flipping benefits investors who can inspect several properties concurrently and sort them loyally. This is the precise option that the majority of software applications are not made to do. They are made to examine one deal exceptionally well. Actual sourcing is looking through lots of options.

The One-File-Per-Deal Habit vs. The One-List-For-Every-Deal Habit

When analysing several properties together two different behaviors show up. However, these differences have nothing to do with the quality of any of our formulas.

The initial bad habit that we established was to keep a different spreadsheet for each property that had small variations. In order to compare deal three to deal five you will have to open two files and compare the figures over a few spreadsheets. By deal five there was no memory of deal one.

The second habit is to enter every property into the same set of structured fields, which gives a ranked view. Deals three and five are automatically side-by-side for an instant comparison, no more 'twenty minutes with two spreadsheets' required.

The latter habit, then, does not simply change the convenience of doing something, it changes the process by which the conclusion on what deal is picked is decided, because the comparison stops being the exhausting part.

Quick Check: Could You Rank Your Last Five Deals Right Now?

Think back to the last set of properties you evaluated for flipping potential. Could you itemize the above in order of which one actually made the most financial sense without having to reopen five separate files?

How many investors would have that problem? Not because of forgetfulness but because of the tool that's designed to do this. If you have to rebuild the house flip deal analysis software each time you want to rank 5 deals, then you're not doing it correctly. Truly good house flip deal analysis software should allow you to rank deals as you add the deal.

When comparison is a struggle: five spreadsheets, five formats, five angles. The last deal examined is often the most poorly scrutinized, the result of too many rounds of fatigue.

When comparison wins out: one live list, same criteria for all transactions, sortable by profit margin the second a property drops on to the list.

What House Flip Deal Analysis Software Should Do With the Deals You Reject

House flip deal analysis software that is super effective at analyzing the one deal you eventually end up buying is missing most of its purpose. The primary benefit of the software is how quickly and easily it can help you rule out other options.

That means a rejected deal shouldn't simply be thrown away. It should stay logged, with its numbers kept as well. As the quantity of rejections grows, you'll start to see patterns: too many deal failures on a particular line item, one suburb that always seems to miss the margin goal, etc. Good house flip deal analysis software turns even rejected deals into information about your buy criteria; this effort shouldn't be thrown away the moment you remove a property from your list.

Why I Stopped Treating Every Deal Like Its Own Isolated Spreadsheet

At first, each property was arbitrarily run through a new spreadsheet copy, on the assumption that we had to work on them one at a time. This was not so, as by the time a hectic week had rounded to the fourth deal, this was just a case of cobbling the numbers together to keep to the schedule. We couldn't confidently decide on the best of the last five without working through each one together.

Both of those forces seem to oppose each other—that I feel thorough, but do not "compare fairly"—is the justification for this style of analysis: FlipSync IQ assumes each property being analyzed will be valued as an entry in the same shared pipeline, and not as a disposable file. House flipping is a volume play: a race to compare the pros and cons of candidates, and to throw the loser out before "reaching the fourth property and taking the rest for granted." House flipping software for analyzing deals must make comparison effortless: the quality of the deal you buy depends on the quality of the deals you readily ruled out.

The Deal You Buy Is Only as Good as the Ones You Ruled Out First

Property flip profit protection happens long before an offer is made. It takes place among the pile of properties that are silently ranked and disqualified along the route. House flip deal analysis software has proven why it exists: if you need to be better at ranking all of the house flip properties that are being considered, and not just the formula used by your final selection, you need to be able to cast a neutral comparative net across ten real live potential house flips—and not throw up your hands by candidate number five.

Pass the next batch of leads into house flip deal analysis software to compare, not to calculate. See FlipSync IQ for free and view our top of the list side by side.