How do you adjust price PSF based on lease factors?
For context, I am building a tool to calculate rental price. Along with market data, lease factors also determine PSF. 

How do you adjust pricing based on 1) Lease term 2) OPEX 3) Free month 4) TI 5) Annual Escalation 6) Tax and insurance 7)
[{"id": "g9fte7s", "text": "google effective rent.  There are like 8 billion tools for this or anyone can do it on an excel in about 3 minutes if they know all the variables.  If you do not understand the answer to this I'd suggest not bothering making tools for others that deal with it in an already saturated market.", "replies": [{"id": "g9fto22", "text": "It's part of the toolset. We offer a suite of products and this is something that we'd like to include as well. \n\nYeah, this part is simple to do in excel. No big deal.", "replies": [], "depth": 2}], "depth": 1}, {"id": "g9ftzd6", "text": "These parameters are a personal business choice for every LL based on their economics for the asset. IE I\u2019ve worked with owners who have no debt service on an asset but have redevelopment plans 2-3 years out and are therefore willing to go sub-market on psf but refuse to offer free rent or TI dollars. I\u2019ve worked with others who have specific debt service requirements and will give heavy TI but no free rent. For some, it\u2019s all about term length, tenant credit-worthiness and how much sqft they are taking. If you\u2019re designing a tool for this, I would suggest the calculation data-points be editable and have a datapoint to enter something to compare against. In CRE when we look at a counter offer we generally compare it against the specific threshold an owners needs to meet for that specific asset. If you have a place to enter that, you could create a lovely tool which does the job of a traditional analyst. I\u2019m curious to see how this works out for you. Good luck!", "replies": [{"id": "g9fuavz", "text": "Thanks, makes sense. This is exactly the kind of response I was looking for.", "replies": [{"id": "g9fvvdj", "text": "Awesome. Please post as your project develops. I\u2019m very interested in seeing a tool like this in action.", "replies": [{"id": "gakst3v", "text": "You mentioned that lease variables and PSF depends on the economics of the asset for the LL. If we had financing information about the property (or have clients enter the info), LTV, Debt, monthly mortgage payments etc, do you think we can generalize some of the recommendations? \n\n1. For LLs with no debt service requirements, concessions (TI and Free months) are lower.\n2. For LLs with debt service requirements, offer concessions TI, free months \n\nDo you mind sharing an example of an offer and comparing against thresholds? Thx.", "replies": [], "depth": 4}], "depth": 3}], "depth": 2}, {"id": "g9istwr", "text": "Brutal. But how will brokers validate their self worth without analysts to lord over?", "replies": [{"id": "g9jt7s6", "text": "Fair point but they would still have property managers and other operating staff to blame all their issues on to the clients so it\u2019s not like they won\u2019t have a place for all of their hot air to go.", "replies": [{"id": "g9mlmd8", "text": "No they won't! You just created a lovely tool that does the job of the traditional analyst.\n\nBut jokes aside analysts don't deal with property mangers or operating staff anyway, they answer to brokers and the research/finance hierarchy above them. Unless things operate a lot different where you are", "replies": [{"id": "g9p39dy", "text": "Depends on the organization but I\u2019ve worked with plenty both internal and external. I\u2019ve been on the PM side for over a decade. Brokers are always a PITA.", "replies": [], "depth": 5}], "depth": 4}], "depth": 3}], "depth": 2}], "depth": 1}]