You know the drill. A few markets make the cut, and now someone has to pull together labor stats, demand proxies, migration, and pricing into something the IC can read. It ends up as a messy workbook, a stack of tabs, and plenty of second guessing. The problem is not access to data. It is putting it side by side so the tradeoffs are obvious. This task takes that step off your plate and puts the comparison in one place with a clear read on which market fits the strategy. Research ~15 min to run Compare Selected Markets Head to Head Vic prompt Use Vic to compare selected markets head to head for a stated property type. Purpose Gives a focused read on which of the short listed markets best fits the strategy. Cuts analyst time from roughly 90 minutes to about 15 minutes. Inputs Markets Required Property Type Required Criteria Optional Output Format Optional Outputs An Excel file or chat table that lines up the markets on each signal, shows per signal winners, and delivers a scored recommendation tied to the stated strategy. Time saved Turns roughly 90 minutes of manual work into about 15 minutes. How it works You give Vic a short list of markets and a property type. Add criteria if you want to tilt the analysis, and choose Excel or a chat table. The run command is simple: Use Vic to compare selected markets head to head for a stated property type. Vic builds a side by side table for two to five markets. Each market gets US percentile ranks across labor and demand, demographics, migration, retail, supply, and pricing. The output shows the winner on each signal so you can see where one market leads and where it falls behind. It then rolls those signals into a weighted score and gives a recommendation tied to the stated strategy. You also get a short case for each market and a list of items to verify locally, which is where most deals are won or lost. The deliverable is either an Excel file or a clean table in chat. The Excel version follows institutional formatting so it can drop into your existing materials without a cleanup pass. If you are moving fast, the chat table is enough to make a call or frame the next discussion. What you can expect in the output Markets lined up on the same signals with US percentile ranks for each Clear per signal winners so differences are easy to spot A weighted score that reflects the stated strategy A recommendation with a short case for each market A checklist of local items to verify before you commit This is for acquisitions teams, investment committees, and market researchers who need a focused read on entry or expansion options. It does not replace local knowledge or broker color. It organizes the first pass so your time goes to the calls that matter. A quick example makes the point. Say you are weighing Atlanta, Dallas, and Phoenix for industrial. You run the task, get percentile ranks across the core signals, and see where migration and labor favor one market while pricing and supply push another. The weighted score reflects your criteria, and the recommendation tells you which market best fits that lens, with notes on what to confirm on the ground. The time savings are real. What used to take about 90 minutes of pulling, normalizing, and formatting is done in about 15 minutes. More important, the output is consistent from deal to deal. That consistency keeps IC conversations focused on the decision, not the spreadsheet.